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Concepts, frames of reference
and indicators

Alicia Bárcena
Executive Secretary
Antonio Prado
Deputy Executive Secretary
Luis Beccaria
Chief of the Social Statistics Unit in the
Statistics and Economic Projections Division
Susana Malchik
Documents and Publications Division

This publication presents the main findings of the project
“Measuring social cohesion in Latin America”, which
was executed with resources out of the regular budget
of the Economic Commission for Latin America and the
Caribbean (ECLAC) and with funding from the European
Commission. ECLAC wishes to express its appreciation
for the financial cooperation which made it possible to
implement the project and publish this book.
The study was coordinated by Juan Carlos Feres, Chief
of the Social Statistics Unit in the Statistics and Economic
Projections Division of ECLAC, and Pablo Villatoro, staff
member of this Division.

LC/G.2420 • June 2010
© United Nations

Social cohesion in Latin America: concepts, frames of reference and Indicators

Contents

Foreword

11

Introduction

13

Chapter I

A critical review of the eclac approach to social cohesion,
and challenges to putting it into practice




A. A review of the Latin American debate on social cohesion
1. Latin America’s incorporation of the social cohesion debate
2. Positions in the debate on social cohesion in Latin America:
different approaches to transcending the initial European
conception of the issue
3. Some features of the Latin American debate on cohesion
B. An analytical model for operationalising the ECLAC concept
of social cohesion
1. The pillars of cohesion
2. The arenas of cohesion

Bibliography

17
18
18

19
22
26
26
27

34

Chapter II

The spatial dimension of social cohesion in Latin America

37



A. Introduction
1. The city and social cohesion
2. The purpose of the present study
3. Scheme of work

37
38
39
42



B. Labour market segmentation 
1. Possible indicators of labour market segmentation 

42
43
5

Contents

2. Possible indicators of determinants of labour segmentation
3. Urban labour segmentation as it affects the dimensions
of social cohesion in urban settings

44
45



C. Segmentation in services
1. The nature of service segmentation 
2. Determinants of segmentation in services
3. Effects of service segmentation on social cohesion

49
49
50
52



D. Residential segregation
1. The nature of the phenomenon
2. The nature of the population agglomerations to which
the notion of residential segregation is applied 
3. The nature of the perverse aspects of residential segregation
4. Differences between the old residential segregation and the new
5. Indicators of residential segregation
6. Geographical scale
7. Principal determinants of residential segregation by socioeconomic
grouping, and possible indicators 
8. Effects of residential segregation on social cohesion in cities,
and possible indicators

56
56

E. Concluding observations
1. The abandonment of public services by the middle classes
2. The weakness of the lower socioeconomic strata’s ties with
the labour market, and the concentration of these strata in certain
neighbourhoods 
3. The urban working class’s growing expectation of enjoying
their full rights as citizens

72
72



Bibliography

56
57
58
62
65
66
67

73
73

74

Chapter III

Institutions, welfare and social cohesion:
indicators of their functionality 

77



A. Introduction

77



B. Institutions and social welfare

79



C. Welfare regimes and social cohesion

82



D. Households, markets and the State: methodological challenges
to describing their interaction

85



E. Indicators of institutional functioning
1. Institutional indicators
2. Access to resources: State, market and family
3. Education, health and housing
4. Institutional integration
5. Indicators of the institutional capacity to reduce disparities
6. Capacity to reduce the digital gap

87
89
90
92
93
94
95



G. Final comments

95

Bibliography
6

96

Social cohesion in Latin America: concepts, frames of reference and Indicators

Chapter IV

Building bridges between sustainable development and social cohesion  97


A. Introduction



B. Relations between social cohesion and environmental sustainability
1. Environmental sustainability and social cohesion
2. Environment and social cohesion: an integrative approach

Bibliography

97
98
99
100

124

Chapter V

The feasibility of constructing a synthetic index
of social cohesion for Latin America

127



A. Introduction

127



B. Alternative approaches to the conjoint analysis of multiple dimensions
1. Independent analysis of individual attributes
2. Comparison of vectors, reduction of dimensions
and stochastic dominance
3. Multidimensional synthetic indicator

130
131



131
134

C. Methodological issues in constructing synthetic indicators
of social and human development
1. Transformation functions 
2. Degree of substitution between attributes
3. Weighting structure

135
135
136
137

D. By way of exploration: constructing a synthetic index
of social cohesion in Latin America based on the ECLAC indicators
1. Descriptive analysis
2. Multivariate analysis: country clusters 
3. Construction of a synthetic index of social cohesion

142
142
143
145



E. Findings
1. Changes in the transformation function
2. Changes in the value of the substitution parameter
3. Changes in the weighting structure

146
146
148
149



F.  Advantages and limitations of an index of social cohesion for
Latin America and the Caribbean
1. Defining a theoretical framework
2. Selecting indicators and considering the availability of information
3. Exploratory descriptive and multivariate analysis
4. Standardising the indicators, weighting structure
and substitution parameter
5. Analysing the sensitivity and robustness of findings
6. Degree to which the index is accepted and used, is transparent,
and evokes consensus 





G. Final reflections

Bibliography
Annex

151
152
152
152
152
152
153
155

156
160
7

Contents

Chapter VI

Towards a nucleus of key indicators of social cohesion:
one step back, two steps forward

165



A. Introduction

165



B. The concept of social cohesion and the pillars on which it is based

166



C. Re-defining the frame of reference

170



D. Towards a nucleus of key indicators of social cohesion
1. Criteria for the selection of indicators
2. Key indicators of social gaps 
3. Key indicators of institutional capacity
4. Key indicators of citizen support (subjective component)

172
173
175
179
185



E. Summary and major challenges

190

Bibliography 

194

Tables, figures and diagrams
Table I.1

Arenas of social cohesion and their dimensions

31

Table II.1 

Dimensions and indicators of the nature, determinants
and consequences of workplace segmentation

49

Table II.2

Suggested indicators for measuring the segmentation of urban
services as a variable related to social cohesion

55

Table II.3

Suggested indicators of residential segregation as a variable
related to urban social cohesion

71

Table III.1

Scope of the social protection system: primary indicators

90

Table III.2 

Scope of the social protection system: secondary indicators

91

Table III.3

Relative importance of the state, the market and the family
as sources of income

92

Table III.4

Institutional indicators associated with access to education,
health and housing

92

Table III.5

Indicators of institutional integration

93

Table III.6

Indicators of the state’s capacity to reduce disparities

94

Table III.7

Indicators of the state’s capacity to provide care

94

Table III.8

Indicators of the state’s capacity to reduce the digital gap

95

Table IV.1

The organisation of social-environmental disparities

106

Table V.1

Latin America (18 countries): country dendograms

145

Table V.2

Latin America (18 countries): country grouping

147

Table V.A-1 

Eclac system of indicators of social cohesion

160

Table V.A-2 

Matrix of pearson correlations

161

Table V.A-3 

Changes in transformation function

163

Table V.A-4

Ranking by component

163

Table V.A-5

Changes in substitution (beta) parameter

164

Table V.A-6 

Changes in weighting structure

164

8

Social cohesion in Latin America: concepts, frames of reference and Indicators

Table VI.1 

Indicators of gaps: long list 

176

Table VI.2

Key indicators of social gaps

177

Table VI.3 

Key indicators of institutional capacity

185

Table VI.4 

Key indicators of citizen support

186

Table VI.5 

Latin America (18 countries): one-dimensionality of questions
on confidence in governmental institutions and
political parties, 2002-2008

188

Table VI.6 

Latin America (18 countries): internal consistency of questions
on confidence in political institutions, 2002-2008

188

Table VI.7

List of key indicators of social cohesion

191

Figure II.1

Conceptual framework

40

Figure II.2

Factors affecting the disposition of the urban middle classes
to abandon public spaces

52

Figure III.1

The architecture of the system of social cohesion indicators
proposed by ECLAC

89

Figure IV.1 

The ecosystems and natural patrimony that provide the
foundation for social cohesion 

102

Figure IV.2 

Scheme for analysis of environmental issues in relation to
social cohesion

103

Figure V.2

Index of social cohesion: sensitivity to the transformation function 147

Figure V.3

Index of social cohesion by component (standardised by range)

148

Figure V.4

Index of social cohesion: sensitivity to beta value

149

Figure V.5

Index of social cohesion: sensitivity to weighting factors

150

Figure VI.1

Latin America (17 countries): voting in parliamentary elections
in relation to mistrust of political institutions, 2000/2005

182

Figure VI.2 

Latin America and other world regions: corruption index, 2006

183

Figure VI.3 

Latin america (18 countries): support for democracya by groups
of countries defined in terms of social disparitiesb, 1996-2008

187

Figure VI.4 

Latin america (18 countries): population that believes that the
tax burden is very high, broken down by confidence in spending
of tax monies, and by social gaps in the countries,a 2003 and 2005 190

Diagram V.1

Methodological strategies for multidimensional analysis

130

Diagram VI.1 Pillars and areas of observation

172

Diagram VI.2 Criteria for the selection of key indicators of social cohesion

174

9

Social cohesion in Latin America: concepts, frames of reference and Indicators

Foreword

Social Cohesion in Latin America: Concepts, Frames of Reference and Indicators
is the result of work by the Economic Commission for Latin America
and the Caribbean (ECLAC), with valuable collaboration from the
European Commission.
In a scenario that poses challenges of global integration for the region’s
countries, ECLAC is working to advance a comprehensive development
agenda for the region, one that emphasizes the relationships between
economic growth, social equity, the consolidation of democracy and
sustainable development.
The question of social cohesion is an additional focus of concern in
the region today. ECLAC has dwelt on the need for systematic institutional
efforts to reduce the region’s glaring social disparities, guarantee the rights of
all, ensure respect for diversity and create a sense of belonging to a collective
social project. Accordingly, the organisation has put forward proposals with
a view to creating consensus among citizens around the provision of social
protections and inclusion.
ECLAC has acted on various fronts to make social cohesion a priority
issue on the region’s national policy agendas. In Social Cohesion: Inclusion and
a Sense of Belonging in Latin America and the Caribbean, a book that benefited
from support from the EUROsociAL Programme, the Ibero-American
Secretariat (SEGIB) and the Spanish International Cooperation Agency for
Development (AECID), ECLAC constructed a concept of social cohesion
and a frame of reference for measuring the phenomenon. In the subsequent
11

Foreword

“System of Social Cohesion Indicators” project supported by the European
Commission, ECLAC built on that work to develop a system of indicators
for monitoring and evaluating social cohesion in Latin America. More
recently, ECLAC implemented the project “Measuring social cohesion in
Latin America” with funding from the European Union. This project aimed,
among other things, to strengthen conceptual frameworks as they relate to
specific aspects of social cohesion, and to explore the feasibility of creating
a synthetic social cohesion index.
The present book describes the main results of the project. As an effort
to contribute towards a more comprehensive view of development, it both
attempts to strengthen the conceptual framework that ECLAC has developed
for understanding and measuring social cohesion, and to encourage the
incorporation of the issue on the region’s national agendas.
We are aware that the work described here is a stage in an ongoing
process. The focus has been on creating and validating basic conceptual
and methodological tools that will facilitate study and understanding of
social cohesion at an aggregate regional scale —an area in which many
challenges remain.
Meanwhile, major attention should be given to any action furthering the
inclusion of social cohesion as a priority objective on the region’s national
agendas in the near future. It is my conviction that what ECLAC has learned
in these years of work must be made available to the countries in order to
encourage players on the region’s national stages to incorporate the issue of
social cohesion in their nations’ public policy-making.
Alicia Bárcena
Executive Secretary
Economic Commission
for Latin America
and the Caribbean (ECLAC)

12

Social cohesion in Latin America: concepts, frames of reference and Indicators

Introduction

Policy designed to promote social cohesion is important on the Latin American
development agenda today for a number of reasons. Important factors that
threaten cohesion include widening social and cultural gaps, weakening
governance, the erosion of traditional sources of a sense of belonging, and
public mistrust of political institutions in democratic regimes. ECLAC has
published a number of documents that stress the importance of creating
consensus on the vital need to provide social protection, foster cohesion,
narrow social gaps and guarantee the basic economic and social rights of all,
while encouraging respect for diversity and fostering a sense of belonging.
Social cohesion is new as an academic theme and as a policy issue in Latin
America. At this stage in the process of its incorporation in the public debate,
it is essential to construct a concept of social cohesion that is relevant to the
region’s realities. To that end, ECLAC (2007)1 has developed an approach to
social cohesion that emphasises the relationships between mechanisms of inclusion
and exclusion in the region, and citizens’ perception of how such mechanisms operate.
The organisation has also proposed a frame of reference and a system of social
cohesion indicators to measure the phenomenon in the region’s countries. The
indicators are a translation of the organisation’s concept of social cohesion
into operational terms.
Cohesion as ECLAC conceives it goes beyond the notion of economic
and social gaps to include issues of belonging and institutional strength
—factors that must be taken into account in a more comprehensive view of
1

Economic Commission for Latin America and the Caribbean (ECLAC), Social Cohesion: Inclusion and a
Sense of Belonging in Latin America and the Caribbean (LC/G.2335/Rev.1), Santiago, Chile, 2007.

13

Introduction

development. The main purpose of this work on measuring social cohesion
—and the principal challenge that it presents— is to create a tool for designing
and monitoring policy in the region.
Social cohesion is a theme subject to debate, both conceptually and in
terms of practical application. Efforts to improve conceptual frameworks
and indicators must take account of differing views about what strategies
are most appropriate to measure cohesion and promote it as an item on
national agendas. In the course of this work at ECLAC, some have stressed
the primacy of methodological rigour, while others have insisted on simplicity
and communicability as paramount factors. And while some believe that
emerging issues in social development must be added to the subjects under
consideration, others urge reducing the number of dimensions and indicators
being proposed to understand and measure social cohesion.
As a contribution to the ongoing conceptual and methodological debate on
social cohesion, this book moves in both directions. It examines the feasibility
of incorporating new issues and thus broadening the conceptual scope of the
approach, but also takes steps to reduce the number of variables and indicators.
Accordingly, it describes work by consultants to expand the original conceptual
and operational framework developed by ECLAC, introducing topics such
as the environment and urban residential segregation as issues relevant to
social cohesion. At the same time, it describes in some detail efforts to reduce
the number of phenomena measured as elements of social cohesion. Thus,
it includes a proposed short list of indicators and assesses the viability of a
synthetic index of cohesion. Finally, it describes efforts to identify and remedy
flaws in the architecture of the system of indicators.
The first chapter is a paper comparing the ECLAC approach to social
cohesion with other approaches that have emerged in Latin America. It
suggests that the three pillars on which social cohesion rests in the ECLAC
scheme —which are defined as gaps, institutional realities and subjective
factors— can indeed serve as a framework for observing the dynamics (or
“how”) of cohesion. As the difficulty of defining a limited list of indicators
attests, however, the pillars do not throw light on the content (or “what”) of
the phenomenon. To solve this problem, the author of the article proposes
adding to the notion of “pillars” the concept of the “arenas” in which social
cohesion is played out. The hope is that the additional dimension will help
to produce a more circumscribed list of indicators.
Chapter II describes indicators designed to capture relationships between
segmentation in the labour market, segmentation in essential services and
segmentation in the spatial distribution of housing, as these factors relate
to social cohesion. The author points out that when these types of urban
segmentation become linked, they endanger the social fabric, and make it
14

Social cohesion in Latin America: concepts, frames of reference and Indicators

more difficult to build healthy patterns of coexistence among city dwellers.
The author suggests that such threats are aggravated by medium- and
long-term processes that increase citizens’ awareness of their rights. Thus,
social cohesion in the region’s large cities is most threatened when growing
expectations coincide with damage to the social fabric.
Chapter III proposes key indicators for monitoring the relationships
among the different institutional spheres (State, market, family) that provide
social welfare. As factors in the selection of indicators, the author discusses
the role of welfare mechanisms, the concept of social cohesion put forward by
ECLAC and the importance of capturing the relative importance of the three
institutional spheres. The last of these factors —the need to capture the overall
impact of different welfare configurations or regimes— is essential because the
reduction of social gaps is bound to be a function of various institutions.
Chapter IV summarises the results of research on sustainable
development and social cohesion. It presents, discusses and relates these
two phenomena with a view to ascertaining how the two intersect. Although
the authors make use of the “pillars” that ECLAC has proposed as a
frame of reference (gaps, institutions and sense of belonging) to examine
issues of sustainable development, they add the concept of environmental
conflict as a horizontal dimension running through all three pillars, to make
the system dynamic. Employing this analytical framework, they assess and
propose measures of sustainable development that could be incorporated in
a comprehensive system of social cohesion indicators.
Chapter V examines the feasibility of constructing a synthetic index of social
cohesion for Latin America and the Caribbean, focusing on two questions.
First, it examines available methodological strategies for constructing such
an indicator, and second, it assesses the feasibility of reducing the concept
of social cohesion to a single dimension. Lastly, the author inquires into the
possible values of the parameters needed to construct an indicator of this sort,
analysing the sensitivity and robustness of findings that would be associated
with different values. The author concludes that a phenomenon as complex
and multidimensional as social cohesion cannot be adequately captured by a
single index —either as a description of the state of social cohesion in the
region’s countries, or as a basis for policy.
Concluding the book, chapter VI attempts to strengthen and further
define the conceptual approach that ECLAC has proposed for measuring
social cohesion. It also proposes a revised list of key indicators. Drawing on
the preceding articles, the list reflects efforts to move towards convergence in
measuring social cohesion. The central elements of the initial ECLAC approach
are present here, but with an attempt at greater simplicity, measurability and
applicability. The chapter begins by redefining social cohesion, and goes on
15

Introduction

to redefine the pillars of cohesion and propose a short list of indicators. The
authors close with a summary of the major challenges involved in measuring
social cohesion.
This book is a milestone in a process of work on social cohesion at
ECLAC the purpose of which was to develop, validate and further perfect
an aggregate approach to the issue. If the process of incorporating social
cohesion in the region’s national agendas is to advance more quickly,
mechanisms must be created that put national policy makers in a position
of much stronger leadership. One possible strategy is to create a programme
that provides training in the basic competencies needed to monitor and write
reports on social cohesion at the national level.

16

Social cohesion in Latin America: concepts, frames of reference and Indicators

Chapter I

A critical review of the eclac approach
to social cohesion, and challenges to
putting it into practice
Rodrigo Márquez

The concept of social cohesion has gained an important place in the discussion
of Latin American issues in recent years, and its relevance and legitimacy as
an issue are beyond doubt. The challenge now facing those concerned with
the subject is how to translate the concept into a practical form that can
effectively support public policy-making.
This paper suggests that while the definition and preliminary model
developed by ECLAC can play an important role in paving the way for
measuring social cohesion in the region, realising this potential requires
significant further work on how to put the concept into practice and forge
an integrated, systematic model.
The article begins by summarizing the principal features of the debate
in Latin America, assessing both its contributions and its weaknesses. It
concludes that the concept developed by ECLAC effectively reflects and
synthesises thinking to date. The article then turns to the construction of
an analytical model. The three dimensions or “pillars” of social cohesion
developed by ECLAC —gaps, institutions and subjective factors— facilitate
analysis, but neither order nor synthesise the actual contents of cohesion.
They do, however, provide a means of observing the dynamics of the
phenomenon. Thus, the arenas in which social cohesion unfolds —the spheres
and contexts that are crucial for its construction— must be analysed as a
17

Chapter I

A critical review of the eclac approach to social cohesion,...

conceptual complement to the pillars and as a prerequisite to constructing
an integrated system.
The article proposes four arenas as a way of understanding social
cohesion in the region —social relationships, citizenship, the market and social
protection— which, we suggest, are the contexts in which, in various ways
and with varying intensity, social cohesion is constructed in Latin America. In
conjunction with the pillars, they provide a matrix that should make it possible
to move towards putting the concept of cohesion into practice.
In a nutshell, this paper suggests combining two types of elements as a
systematic way of measuring social cohesion. The first is the ECLAC “pillars”,
which constitute a dynamic moment for the construction of social cohesion,
revealing the “how” of the process. The second is the additional notion of
“arenas”, which helps to understand the “what”.

A. A review of the Latin American debate on social cohesion
1.

Latin America’s incorporation of the social cohesion debate

The recent salience of social cohesion as an issue in Latin America derives
from a discussion that began in the European Union. The foreign origin of
the discourse is not insignificant, for when a concept developed in the context
of one social reality is adopted in another, it comes with assumptions (and an
implicit social project). Since the fact that different realities call for different
conceptual assumptions is no novelty, the debate on social cohesion in Latin
America has developed with an awareness that the European concept cannot
be applied here without modification.
The concept of cohesion emerged in Europe as a way of unifying a
number of different areas of policy concern in the European Union. As
explained in ECLAC (2007, p. 33), “The way in which the idea of social
cohesion has evolved in Europe has been heavily influenced by a supranational
ethic which seeks to prevent unbridgeable social inequalities and gaps from
arising, as well as overcome poverty, both within countries and among
member States.”
These historical roots have two important consequences. The first is
conceptual. Given the genesis of the discussion, strict conceptual coherence
has not been a paramount priority. Of note in this connection are the
observations of Meller and others (2008, p. 234), who describe social cohesion
as a “framework concept that has room for multiple dimensions of a society’s
problems: inclusion/exclusion, equality/inequality (of opportunity), social
mobility, and [equality/]inequality of income distribution”. They also quote
18

Social cohesion in Latin America: concepts, frames of reference and Indicators

Bernard’s statement that “the concept of social cohesion has the marks of a
quasi-concept, one of those hybrid mental constructions that with increasingly
frequency are put forward in the policy context”. It is in the nature of concepts
that, like this one, shape policy-making, that they are not precisely defined,
for conceptual precision in these contexts is less important than fostering
awareness in certain areas. Nevertheless, developing a truly different way of
thinking about social cohesion in Latin America requires a coherent overall
concept of the phenomenon. A holistic approach is required, and a mere
aggregation of different dimensions will not suffice.
A second consequence of the concept’s foreign origin has to do with the
problem of measurement. If Latin American social cohesion differs from the
European, then different tools will be required to measure it. That requires a
systematic set of indicators based on a systematic concept, and the reasons
for including certain indicators and excluding others must be clear.
Thus —to summarise this first section— the discussion in Latin
America can be seen in terms of how it is advancing towards solving the
dual challenge of constructing a systematic concept of social cohesion and
creating a systematic and comprehensive set of indicators to put the concept
into practice.
2.

Positions in the debate on social cohesion in Latin America:
different approaches to transcending the initial European
conception of the issue

One way of grasping the range of positions in the Latin American debate is
to review the various criticisms that have been made of the European concept
from the perspective of Latin American application.2
One position is that of the New Agenda for Social Cohesion in Latin
America, a project of CIEPLAN and the Fernando Henrique Cardoso Institute.
The argument here has generally been that the characteristics of social cohesion
in a society are a function of the particular society and the momentum of its
historical forces. More specifically, the project considers the European concept
of social cohesion inadequate to the Latin American context because of its
assumption that social cohesion is constructed only (or centrally) by providing
services that give the population the ability to participate actively in the society,
thus reducing social disparities. Under this assumption, Latin America —where
levels of inequality are among the highest in the world— should have major
2



Since the purpose of this review is descriptive, we suspend critical evaluation of the various positions
for the time being. The absence of judgment here should not be taken to imply either agreement or
disagreement with the positions described.

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problems of cohesion. According to the project’s research and documents,
however, the region does not have critical problems of cohesion, and thus
cohesion and inequality are present side by side.
If this is so, what factors permit the region’s societies to be socially
cohesive despite their high levels of inequality?
It could be that expectations of social mobility (in a situation resembling
the United States model) allow inequality to be present without jeopardising
cohesion. In such a context, “high levels of inequality do not imply a looming
crisis of social cohesion if they are accompanied by significant processes of social
mobility —or at least expectations of social mobility” (Tironi, 2008, p. 28).
Moreover, and more crucially, in this view, social cohesion in Latin
America is based on the family and on other primary relationships that
function as “glue”, preventing more serious problems of social cohesion.
The public policies that are most consequential for cohesion, then, are those
that either strengthen or jeopardise those relationships’ capacity to generate
cohesion. Policy areas such as crime, generalised mistrust, and the family thus
become key areas (Tironi, 2008, p. 101). The family, in particular, is central
to cohesion at the microsocial level (in this connection, see Tironi, 2008,
p. 31; Tironi and Pérez Bannen, 2008; and, for an empirical application, Tironi
and Tironi, 2008).
What emerges from these considerations is a definition of cohesion
as “a democratic society’s dynamic capacity to absorb change and social
conflict through a legitimate structure for the distribution of its material
and symbolic resources —socioeconomic (welfare), sociopolitical (rights)
and sociocultural (recognition)— that employs a combination of allocation
mechanisms including the State, the market, the family, civil society and
community networks” (Tironi, 2008, p. 19; Tironi and Sorj, 2007). The central
point, according to this definition, is that cohesion depends on the legitimacy
of the structure that distributes resources, rather than on equality per se.
A second criticism of the European concept —one articulated more
clearly by Sorj and Martuccelli (2008)— is that certain assumptions underlying
the European concept are not valid for Latin America. Since the European
Union approach assumes a solid democratic regime, it does not take even
democracy into consideration as an issue (Sorj and Martuccelli, 2008: 260). This
is problematic in Latin America, where the solid institutional foundations needed
to guarantee democratic social cohesion are lacking, and where this weakness
and the difficulties arising from it can create problems for social cohesion.
Sorj and Martuccelli’s argument is based to a large extent on the idea
that the concept of social cohesion alone is an inadequate basis for public
policy. These authors do not regard social cohesion as sufficient, or even
20

Social cohesion in Latin America: concepts, frames of reference and Indicators

necessarily a positive thing, and therefore find it necessary to qualify the
term, since, “as social theory teaches, all societies generate some form of
cohesion. Otherwise, they would not exist” (Sorj and Martuccelli, 2008,
p. 260). If all societies have some level of cohesion, the authors suggest,
the question is simply what kind of cohesion they generate. This leads
to a concern about the institutional dimensions of cohesion. How do
institutional functioning and legitimacy affect the ability to construct social
cohesion in a democratic context? How is democratic social cohesion
constructed —for example, in societies whose judicial systems are often in
crisis and of doubtful legitimacy, and whose populations’ basic needs are
not met (in this connection, see for example, Sorj and Martuccelli, 2008,
pp. 156 and 166).
A third position, basically put forward by ECLAC (2007) —focuses on
the notion that understanding social cohesion requires considering dimensions
besides a society’s social and economic disparities, or gaps. The emphasis here
is on the idea that cohesion cannot be understood without taking the subjective
dimension into account. Thus, information on perceptions and culture is
necessary for any analysis of legitimacy. Moreover, the subjective element
is necessary to avoid functionalist biases that in effect force the population
to fit a model (ECLAC, 2007, p. 19). In particular, the subjective element is
central to cohesion, because one of its parameters is the sense of belonging.
In Latin America, one cannot simply assume that the sense of belonging
relates to the dimension of disparities or gaps —let alone that that there is a
correlation (recall the diagnosis of malaise in the UNDP 1998 Human Rights
Report for Chile entitled “The Paradox of Modernisation”).3 Similarly, the
dynamics of the concept make it essential to study the institutions through
which society acts on disparities and inequalities.
Accordingly, the ECLAC proposal defines social cohesion as the dialectic
between established mechanisms of social inclusion or exclusion and citizens’
responses, perceptions and dispositions towards the way in which they operate
(ECLAC, 2007, p. 13). This implies that the concept of social cohesion rests on
three pillars —the relative presence or absence of disparities or gaps, institutional
factors and the sense of belonging— as well as, more crucially, on how the three
interact (ECLAC, 2007, pp. 39-40).

3



In fact, the CIEPLAN-Fernando Henrique Cardoso Institute project shows evidence both of high levels
of polarization and attendant social conflict in Latin America (Gasparini and others, 2008) and of low
levels of these phenomena (Valenzuela and others, 2008). Gasparini uses “objective” data on polarization
and conflict, while Valenzuela uses data from the 2007 ECOSOCIAL survey on social cohesion (see
http://www.ecosocialsurvey.org/inicio/index.php).

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A critical review of the eclac approach to social cohesion,...

Some features of the Latin American debate on cohesion

(a) Cohesion as an umbrella concept

 One of the features of these different conceptions of cohesion is the
diversity of indicators and issues that they involve. The indicators proposed
by ECLAC (ECLAC/EUROsociAL, 2007), the issues analysed by Sorj and
Martuccelli and the potpourri of analyses generated by the CIEPLAN project
constitute a rather heterogeneous mix of elements to bring together in a single
concept, for an element unifying them is not always easy to find. The ECLAC
indicators (ECLAC/EUROsociAL, 2007) range from the open unemployment
rate and the net preschool matriculation rate to the index of perceived corruption,
the composition of the tax burden, private educational spending as a percentage
of GDP and the political activism index, to mention only some.
This conceptual range has its hazards, because a concept that does not
clearly exclude anything is (ipso facto) not a well-defined one. In this case,
moreover, when a particular indicator is not included, the reason for its
exclusion is not clear. Why, for example, is per capita gross geographic product
(GGP) not included? If labour productivity is an element of social cohesion,
why not total output? Furthermore, the range of elements proposed by
different projects varies quite significantly. One of the CIEPLAN documents,
for example (Cox, 2008) speaks of the relationship between educational
curricula and social cohesion —something not mentioned in any other project.
Similarly, Sorj and Martuccelli (2008) analyse the role of political activists and
party members in building social cohesion— an issue not explored by other
projects. Since one can ask of practically any element in a society whether
it contributes to unity (functions as a basis for cohesion), it is easy to find
oneself working with a concept of cohesion that lacks clear limits.
(b) Confusion about social cohesion versus social order

 Much discussion fails to distinguish between social cohesion and
social order.
For example, when Sorj and Martuccelli (2008) observe that all
societies solve the problem of social cohesion in one way or another, they
are really speaking of social order, for some level of social order —the
reproduction of societal structures and practices— occurs in any society.
It does not clearly follow from the presence of social order, however, that
cohesion and unity are present. Indeed, it is perfectly possible to imagine
social practices being reproduced coercively. If we believe, as Sorj and
Martuccelli do, that social and economic gaps imply a lack of cohesion,
then Latin American societies that reproduce practices of inequality are
reproducing an uncohesive social order.
22

Social cohesion in Latin America: concepts, frames of reference and Indicators

The relationship between social cohesion and social order is even
stronger in the CIEPLAN scheme. Peña’s (2007) exposition of the concept
can best be understood as a discussion of the different explanatory traditions
that are invoked to throw light on social order. The ostensible definition
of social cohesion here (Tironi and Sorj, 2007; Tironi, 2008) in fact refers
to the construction of social order: the legitimacy of social arrangements
is often a central theme in sociological discussion of social order. Tironi
(2008) is clearly concerned with social order. His examples of cohesion in
Latin America —in connection with which he points out that the fabric of
social cohesion in Latin America has not suffered the damage that religious
wars and world wars have inflicted on Europe— in reality point towards
the issue of social order. Thus, he is really exploring the question of how,
if at all, societies resolve the Hobbesian problem of order and prevent a
war of all against all. In effect, social cohesion in this discourse has become
a matter of social peace and absence of war —again, social order rather
than social cohesion.
(c) The importance of the subjective and institutional pillars of cohesion

 The subjective element appears frequently in discussion of social cohesion
in Latin America —a feature that distinguishes the discourse here from the
European debate, where the subjective element is practically absent from
the indicators. Both in initial programme statements and in how the concept
is applied empirically, all the texts place substantial emphasis on citizens’
perceptions and opinions. The CIEPLAN project’s social cohesion survey is
one of its central elements, and nearly all of the texts that it publishes refer
to the Latinobarómetro survey.
The institutional element also appears in a significant range of texts.
Sorj and Martuccelli (2008) devote a substantial portion of their discussion
to institutional factors —justice, to cite the clearest example— and the
CIEPLAN project includes a number of studies that focus on institutional
behaviour (Marcel and Rivera, 2008, on welfare regimes; Cox, 2008, on
schools), while, the ECLAC approach takes the institutional element as one
of its three basic pillars.
(d) Concern about social unity in the Latin American debate: the
importance of recognition of the other

 The idea of a relationship between social cohesion and unity is common
to the different approaches to these issues (this is explicit in Meller and
others, 2008, as well as in Tironi and Tironi, 2008, p. 323). Now, what is a
united society? If an ordered society is one whose institutions are legitimate,
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we may say, analogously, that a cohesive society is one where individuals
recognize each other’s legitimacy, and where institutional objectives and
priorities express that recognition. To be more precise, social cohesion is built
on recognition of the other as a legitimate other in a scenario where people
live together and accept each other: I accept others —and we recognise each
other mutually— as members of the society of which we are a part. Thus,
social cohesion is a function of legitimacy (the legitimacy of the participants,
not of the social order).
Although the issue of recognition of the other has not been explicitly
discernible in recent discussion, it does play a role in how the issue has been
approached by ECLAC. Hopenhayn (2007, p. 42) refers to “the burning
problems of social cohesion in Latin America”, describing one of these
problems as “the negation of the other as a secular mark of incomplete
citizenship.” He adds that in Latin America “the problem of exclusion and
effective lack of citizenship is deeply rooted in a dominant historical pattern,”
and that while the pattern “imposed —or imposes— a cultural way of thinking
based on negating the other, it also imposed —or imposes— the negation
of the society’s and its citizens’ tie of reciprocity. It is not only that access to
education, jobs and monetary resources is more precarious for groups who
are discriminated against. They are also excluded because of a lack of political
and cultural recognition of their values, aspirations and ways of living.”
Including recognition as an issue makes it possible also to incorporate
the issue of democracy in a clear way. While Sorj and Martuccelli address both
of these issues, they do not incorporate them in their concept of cohesion.
Democracy is a regime built on legitimate recognition of the other, which is
why it is an element of social cohesion.4
(e) Conspicuous by their absence: the role of the elites in the debate

 In general, Latin America’s elites are relatively absent from the debate
on cohesion. As Tironi, for example, notes, social conflicts in Latin America
have not affected social cohesion, because they have involved only the elites:
“Latin America has undergone political tensions leading on various occasions
to violence, principally associated with the renewal and circulation of elites,
rather than with social movements” (Tironi, 2008, p. 37). This approach to
thinking about the role of the elites is rather limited, however.
4



24

One might argue that recognition of the other as legitimate does not necessarily imply recognition of
the other in a participatory role. Thus: “I recognize you as a legitimate member of the community, but
not as a full member with the right to participate in decision-making.” One could, in fact, argue that this
is a common form of recognition in traditional societies. Nevertheless, recognition of the legitimacy of
the other in the present context does imply participation and full inclusion. The social democratisation
referred to by Sorj and Martuccelli (2008, pp. 4 and 5) implies that the legitimacy of recognition without
inclusion is at best dubious.

Social cohesion in Latin America: concepts, frames of reference and Indicators

If a society’s elites in fact function as its governing group, they affect
the dynamics of social cohesion in major ways. In markedly unequal societies
whose elites are highly endogamous and have a social life that shows increasing
features of oligarchic closure (UNDP, 2004) —that is, that are quite noticeably
separate from the rest of the society— these features can play a decisive role
in social cohesion. In such cases, cohesion obviously cannot be understood
from a perspective that virtually ignores the existence of the elites.
(f) The concept of social cohesion developed by ECLAC

 As this general description of the Latin American debate on social
cohesion concludes, it will be useful to recall its starting point —namely, that
measuring social cohesion requires a systematic conceptual approach to the
phenomenon. The formal definitions that have been proposed have some
weaknesses in this sense. The CIEPLAN strategy, as we have seen, centres
more on social order than on cohesion. The concept as interpreted by Sorj
and Martuccelli —which proves to be social cohesion circumscribed by certain
qualifications— has similar problems. It, too, is to some extent based on a
concept of social order (or at least it approaches social cohesion from that
point of view), and it connects the issue of democracy to social cohesion
without considering democracy an element of social cohesion. Absent an
intrinsic relationship between the two, it is difficult to develop a means of
systematic measurement.
The ECLAC approach appears to solve that problem to a very significant
degree. The concept of a dialectic of mechanisms of inclusion and exclusion
and perceptions of how they operate provides a good starting point. It
both defines a clear specific context for thinking about social cohesion and
provides a scheme that allows us to begin dealing with how to measure the
phenomenon systematically. Thus, the approach implies a systematic way of
measuring and understanding social cohesion, and has great potential for
putting the concept into practice.
The potential does not seem to have been realized fully as yet,
however. While the ECLAC approach seems to have more explanatory
power and integrating capacity than any of the other proposals put forth
so far, operationalising it requires making it more organic and systematic.
Thus, it is unclear at this point whether all of the indicators have been
specified, or whether some remain to be identified. Nor is the relevance of
the indicators selected always obvious. The definition of the concept does
not make clear by what criteria given elements are included or excluded. In
other words, there is a list of indicators and dimensions, but what unifies
them, or in what sense the indicators constitute a comprehensive set of all
the relevant elements of each dimension, remains a question. Thus, further
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work is needed on the operational aspects before an integrated system of
indicators can be finalised.
Systematic measurement of social cohesion can be achieved if two
conditions are met. First, it will be useful to recognize the “pillars” proposed
by ECLAC as a dynamic moment of the construction of social cohesion
(the “how”). Second, combining the pillars with the “arenas” in which social
cohesion is constructed (the “what”) will serve to complete the picture. Below,
we explore these two strategic elements in more detail.

B. An analytical model for operationalising the ECLAC
concept of social cohesion
1.

The pillars of cohesion

The strategy that ECLAC has pursued to translate its concept of social
cohesion into a way of measuring the phenomenon (see ECLAC, 2007b) is
based on the notion of a series of pillars on which social cohesion is built,
and on the notion of dimensions constituting each pillar.
The three pillars on which measurement is to be based derive from
the ECLAC definition of social cohesion as the dialectic between instituted
social inclusion and exclusion mechanisms and the responses, perceptions
and attitudes of citizens towards the way these mechanisms operate (ECLAC,
2007, p. 18).5 The next step is to establish indicators corresponding to the
pillars, thus creating a system of social cohesion indicators. A crucial issue
seems to have been disregarded here, though, in that the pillars are not facets
of social cohesion, but ways of looking at certain processes. In other words,
the system has no component designed specifically to represent outcomes.
Rather, any given element of social cohesion has an aspect that is outcomes,
as well as an institutional aspect and a subjective or belonging-related aspect.
Each observable aspect of social cohesion must correspond to a measurable
aspect of each of the pillars.
That is why the pillars of the ECLAC model generate a system of
indicators: they are a methodical way of looking at any dimension of social
cohesion. Thus, the model is already rather highly systematized —a feature
that needs to be recognized and more fully developed. Social processes must
5



26

Although ECLAC refers to the “sense of belonging” in connection with the pillars, it is clear from the
conceptual definition that it will be more useful to speak of the “subjective element”. Similarly, although
ECLAC speaks of gaps, we believe that it is generally more useful to think in terms of outcomes. Although
gaps or disparities are a form of exclusion, exclusion (or inclusion) is the broader of the two concepts: if
no one has access to proper justice, there may be exclusion without disparity. Thus, it would seem that
speaking in terms of objective outcomes will, in general, better express the original ECLAC definition.

Social cohesion in Latin America: concepts, frames of reference and Indicators

be examined individually to ascertain how a society carries them out (the
institutional pillar), what objective outcomes are produced (the disparities or
gaps) and to what extent members of the society feel a part of the process
(the subjective pillar).
It is important, in this work, to draw on the concept of a dialectic put
forward by ECLAC, for the model is based on a relational dynamic, not on
isolated elements. If, for example, the democratic construction of the State
is crucial to social cohesion, then we must find indicators of that democratic
process as it appears in institutions, social/economic gaps and people’s
perceptions. The pillars are thus aspects that will appear in any process that
plays a role in constructing social cohesion. They do not represent separate
and independent ways of constructing cohesion. Rather, they are perspectives
from which to view all such processes.
The scheme thus provides a comprehensive view, and is truly systematic,
for the three pillars not only have general applicability, but generate a system.
The model permits us to ascertain the objective result of any action that we
observe (in other words, to determine whether the action brought about the
desired outcome), to examine the intentions and values behind it (does it
express what is/was desired?) and to inquire into the subjective perception
of the intentions and results (do they foster belonging and inclusion?).
This general scheme for analysing social action —employing the categories
of intention, results and perception— effectively covers all the relevant
dimensions of the action that we observe.
2.

The arenas of cohesion

Notwithstanding the usefulness of the pillars, neither they nor their relational
dynamics directly generate indicators. These therefore remain a question mark,
and the “what” of social cohesion remains a challenge that can only be met
by studying the processes that constitute cohesion in a given society. This, in
turn, means determining what spaces, dimensions and processes are central
to the construction of cohesion in the society.
The term that we shall use to refer to a consistent space where the
construction of social cohesion takes place is arena of social cohesion. In slightly
different words, an arena is a space in a given society that plays a significant
role in the construction of cohesion. Since arenas are specific to particular
societies, a space that is an important arena of cohesion in one society may be
less important in another, or may not function as an arena at all there. Hence,
although the pillars are categories systematically applicable across societies,
arenas can be identified only through individual analysis of societies.
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What are these arenas in Latin America?
Four arenas can be distinguished in Latin America:
• The social relationship arena. Personal relationships at the micro level:
I relate as a person within a world that I share with other persons.
• The citizenship arena. Personal relationships at the macro level: I
relate with the collectivity in constructing a shared world.6 The central
theme here is the construction of how the society is to be governed.
• The market arena. Individual relationships at the micro level: I relate
with others, but only through trade, not in a way that constructs a shared
world. Relationships here are not between persons in their specificity,
but merely between ultimately interchangeable “individuals”.
• The social protection arena. Individual relationships with the collectivity:
As a beneficiary, I do not relate with society at the collective level, but
simply demand and receive specific benefits as an individual. The society
protects its members, but without creating a shared world.7
The Latin American model is highly complex, as it constructs cohesion
on the basis of interaction between these four arenas. This differentiates it
from other models, in which a particular arena arguably predominates (the
market in the United States, or the Welfare State in Europe). In Latin America,
no single dynamic could by itself create cohesion. Although the region’s
countries differ in which of the four dimensions are strongest, all four may
be seen as relevant in all of the countries.
(a) Each arena’s criteria of cohesion: What do we wish to achieve?

 What does achieving cohesion mean specifically in each of these arenas?
Answering this question will allow us to determine whether a given indicator
fits into one of the categories in the scheme —whether it in fact represents
a specific parameter of what we wish to achieve. Thus, we must state what
specific criterion of cohesion we wish to measure, and define it clearly. Each
of the criteria, defined in terms of a desideratum, reflects a social aspiration or
normative horizon towards which we wish the society to organize its resources
and intentions. How, then, are they to be defined for each arena?



6

7



28

We might note here that for a long time Sweden’s Social Democratic Party propounded the idea of a collective
“house”. Although the collectivity is not a family in this view, it does create a “household” relationship.
While the arenas are not unrelated to the family/community/market/State scheme (see Filgueira, 2007;
Pérez and Tironi, 2006), they are different. First of all, we do not believe that the State can be analyzed as
an unequivocal category. Public sphere and public policy, citizen and beneficiary, are neither equivalent nor
unique in their relationship to cohesion. The construction of a shared collective space called the citizenry
replaces the community (while the category of “that which is public” must be analysed separately). Nor do
social relationships consist only of the family, since people also relate as individuals in other contexts.

Social cohesion in Latin America: concepts, frames of reference and Indicators

• The criterion for social cohesion in the social relationships
arena is the existence (and possibility) of social relationships that
assure a society’s members of being accepted and recognized. The
recognition and inclusion at issue here are personal —that is, they
occur in social encounters between persons. When problems of
cohesion arise in this sphere, they are the result of situations that
work against the recognition of personal inclusion and legitimacy.
(Examples include institutions that distinguish between legitimate
and illegitimate children, environments in which numerous people
do not feel accepted in their families, and high levels of intrafamily
violence, which is a clear sign of non-recognition of the other.)
• The criterion for social cohesion in the citizenship arena is
the existence of legitimate government officials who hold office as
the result of elections in which the citizenry participates actively,
and which are conducted according to the law. The requirements
of elections and participation are interrelated, for the selection of
public officials by election implies cohesion in this public sphere
if the citizenry participates actively —in other words, if there is
an active public sphere. The effective rule of law, in turn, is central
for this. The ideal of citizen rule can be achieved only if the laws
established through the political process are enforced. If all of
these requirements are met, we can say that recognition and political
inclusion (in the public sphere) are present.
• The criterion for social cohesion in the market arena is that a society’s
members participate in the market and as workers in a way that permits
social mobility (and that ensures economic recognition and inclusion of
the other). Insofar as a society’s members can rise in the social scale and
gain access to the goods and services that the society considers basic,
this arena can be said to contribute to social cohesion.
• The criterion for social cohesion in the social protection arena is
that the welfare of all members of the society be ensured, preventing
polarization. Recognition in this context is based on inclusion where social
rights are concerned —in other words, that people enjoy certain minimum
inalienable rights by virtue of being members of the society.
(b)  The specific dimensions of the arenas of social cohesion

 To advance in measuring social cohesion, it will be helpful to define the
dimensions of the arenas.
Three dimensions can be distinguished in the social relationships arena:
family, social life and trust in others in general. In other words, we use the
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closeness of social relationships to distinguish the dimensions of social
relationship, beginning with the basic relationships (family), then moving to
a second circle of primary relationships (social life, friends, neighbours and
the like), and concluding with the widest possible circle of social relations
—a general trust in the “others” who constitute the community. To avoid
confusion, we should note that these dimensions are to be understood in
terms of the criteria of cohesion previously specified for the arena. In other
words, the indicators of social cohesion in the family do not reflect the extent
to which families are “well-formed” according to a traditional criterion.
Rather, they reflect the degree to which, independent of the particular way
in which families are constituted, all members of the family participate in
family relationships and are accepted and respected there.
In the citizenship arena, too, three dimensions can be distinguished:
representation, democracy and the rule of law. Representation consists of
the processes through which citizens relate to the State —the construction
of legitimate social actors and the ways in which they are recognised in the
public sphere. The central problem here is how the society constructs actors
who it believes effectively represent it. Democracy is the election of public
officials through legitimate democratic mechanisms. Finally, the rule of law
requires effective enforcement. High levels of corruption, for example, are
an indication that the law is not being enforced —and, more specifically, that
it is not being enforced equally. In this sense, corruption also constitutes a
lack of social cohesion.
In the market arena, too, three dimensions can be distinguished: social
mobility, consumption capacity and work. Social mobility, which is one of
this arena’s central dimensions, implies that social position is non-hereditary.
In other words, it is possible to move from any position to any other. From
this perspective, cohesion is present insofar as there are no a priori distinctions
preventing members of the society from moving from one position to another.
The consumption dimension is measured in terms of effective presence
in this arena. In other words, inclusion and participation in the market
imply a not merely formal, but actual, role as a consumer. Finally, work is a
dimension of this arena, because it is thanks to work and work income that
individuals participate in the market (that they are able to consume and/or
reap the benefits of social mobility). In this connection, it is important to
note that most Latin American families and individuals obtain almost all of
their income from work.
Finally, two dimensions can be distinguished in the social protection arena:
health care and pensions. It is basic protection from risks and contingencies
in these two areas that seems to constitute the fundamental elements of the
social protection arena. Social cohesion is present here insofar as a society’s
members are confident of their access to the resources needed to deal with
30

Social cohesion in Latin America: concepts, frames of reference and Indicators

the problems of health and old age. We refer here not to policies designed
to enhance benefits —some of which (such as poverty reduction) are more
appropriately considered elements of other arenas (the market arena, for
example, in the case of poverty reduction)— but to basic mechanisms that
provide protection from the universal risks of illness and old age that can
threaten personal autonomy and the ability to do things for oneself.
(c) The social cohesion matrix

 In short, the arenas and their dimensions, and their intersections with the
pillars of social cohesion, constitute a basic matrix for the analysis of social
cohesion.
To construct the matrix, we must determine the function that each
proposed indicator of social cohesion can fulfill in the system (which is
to say that it must “naturally” fall in one of the cells). Insofar as the pillars
exhaust possible perspectives and the arenas cover the processes involved in
constructing social cohesion, it becomes possible to define a set of indicators
for measuring cohesion.
■■

Table I.1

Arenas of social cohesion and their dimensions
Arena

Dimension

Outcomes

Institutions

Subjective element

Family
Social relationships

Social life
General trust in the other
Representation

Citizenship

Democracy
Rule of law
Social mobility

Market

Access to the market
Work

Social protections

Health
Pensions

Source: Prepared by the author.

This matrix approach makes room for a concept of social cohesion that
is broad and inclusive, but specific (in other words, not including all possible
elements). Thus, it allows us to ascertain clearly whether a proposed indicator
in fact can function as an indicator of social cohesion. In order to qualify,
the indicator must fit in one of the cells of the matrix.
In addition, given the matrix’s organic quality, the placement of an
indicator in one cell shapes what indicators consistency requires including in
the remaining cells of the row. Thus, we are assured of an inclusion/exclusion
rule, which we need to make the system coherent.
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(d) Future stages of conceptual development

 Given the purpose and scope of this chapter, we shall not further detail
the issues involved in putting the proposed analytical strategy into practice,
except to indicate the upcoming steps and impending challenges.
First challenge: Fill in the proposed matrix in a consistent way

This calls for ad hoc discussion of indicators, taking account of the fact
that other lists of indicators have been proposed, but that they have been
conceived in the context of other analytical schemes.
Filling in the matrix means applying the inclusion/exclusion criteria to
specific indicators. This process will establish the operational shape that the
general concept takes. There must be clear rationales for the decisions, and
since there are obviously choices between different possibilities, the decisions
are subject to debate.
Once indicators are identified, we can assess their potential usefulness
and their potential to quantify or thoroughly describe social cohesion, either
through synthetic indices or typological analysis —which brings us to the
second challenge.
Second challenge: synthesizing the information

Given a system of social cohesion indicators, the question becomes
how to achieve an analysis that integrates the system’s different dimensions.
At least two alternatives present themselves:
•

32

One possibility is to focus on the feasibility of creating a social
cohesion index. Given a set of indicators of cohesion, each representing
a defined continuum of least to most cohesion, a synthetic index of
cohesion can in principle be created by defining all the indicators
operationally, assigning numerical scales to the more qualitative ones
(such as those based on checklists of existing legislation or formal
institutions), weighting them, creating sub-indicators for dimensions
and defining an appropriate method for aggregating the data. One of
the major challenges will be how to weight the different arenas once the
data are compiled. In synthesising the information, is the citizenship
arena, for example, to have more or less weight than the market arena?
Is the gaps pillar to have more or less weight than the subjective pillar?
Is the intersection of any pair to have more weight than the other pairs?
And so on. This is a major challenge, especially given the technical
and methodological decisions on which synthetic indices are based
—decisions that it is generally considered desirable to base on some
rule or finding arising from the data themselves. We cannot resolve this

Social cohesion in Latin America: concepts, frames of reference and Indicators

issue here, but the solution could very well (and without jeopardising its
validity) ultimately be based on a decision that is theoretical and political
in nature. This, in the present author’s view, would be a legitimate way
of seeking coherence in the context of the objectives behind the whole
debate on social cohesion in Latin America.
•

Another possibility is to construct typologies of social cohesion
based on the different combinations of arenas and pillars, as a way of
describing the specific forms that social cohesion takes. The categories
in such a scheme would not necessarily be ordered in terms of greater
versus lesser cohesion (some categories could be equivalent in this
respect). They would, however, occupy different positions in the morethan-one-dimensional space of properties that generate the different
indicators of social cohesion.

Both of these approaches are possible, and each has advantages and
disadvantages. Developing a social cohesion index strikes this writer as being
both of interest and technically feasible. Given the nature and characteristics
of the concept of social cohesion, however, a strategy based on typological
analysis may in the end have more analytical power. The basic reason for
this is that social cohesion is a highly complex phenomenon, with various
pillars and dimensions, and that reducing it to a “high/low” or “greater/
lesser” distinction and a single number could therefore entail a significant
loss of information. Countries with comparable levels of cohesion may have
reached them through very different combinations of indicators, and face
correspondingly different challenges in constructing social cohesion.
In some cases, the construction of cohesion may depend more on
the institutional framework, in others on subjective elements and social
relationships. In some instances, gaps may explain a lack of cohesion, while in
others, comparable objective results may hide notable differences in people’s
feeling of whether they are a part of what has been achieved. Similarly,
achievements and challenges may be associated with each of the proposed
arenas, and may facilitate understanding the general context of cohesion in a
country. In some cases, success in the market dimension will be the primary
basis for cohesion, while in others strong social relationships will play the
primary role. In one country, empowerment in the citizenship arena will be
the strength drawn on to meet the challenges, while another may find its
greatest obstacle to be in this area.
A typological approach could also incorporate aspects of both the
historical and recent dynamics of the phenomenon as a central analytical
element. This is crucial for understanding how specific outcomes flow from
the interrelationships of gaps, institutions and subjective elements, and it also
facilitates discerning possible ways of processing findings. For example, the
33

Chapter I

A critical review of the eclac approach to social cohesion,...

nature of the challenges that a country faces will obviously vary: a country
with diminishing poverty and a growing middle class will face challenges
different from those confronting a nation where poverty is on the increase and
the middle class is being squeezed. Although two such hypothetical countries
could have the same current poverty levels and sizes of middle class, one
would experience its situation as progress, the other as deterioration.
In summary, our hypothesis is that the integration of the different
pillars, arenas and dimensions represent “variations” of the Latin American
model of social cohesion, each with its own characteristics and dynamics,
and that the presence or absence of these characteristics and dynamics can
be distinguished in the different countries and merit attention.
This “density” is an advantage of the integrated approach to social
cohesion, and provides an analytical power that should be exploited. In that
sense, an index of social cohesion, although useful as a complement, would
be insufficient on its own.

Bibliography
Corporación Latinobarómetro (2008), Informe Latinobarómetro 2008, Santiago, Chile,
November.
Cox, Cristián (2008), “Las reformas educativas y su impacto sobre la cohesión social en
América Latina”, Redes, Estado y mercados: soportes de la cohesión social latinoamericana,
Eugenio Tironi (ed.), Santiago, Chile, Uqbar.
Draibe, Sonia (2009), “Programas de transferencias condicionadas”, A medio camino,
Fernando Enrique Cardoso and Alejandro Foxley (eds.), Santiago, Chile, Uqbar.
Dyson, Stephen (1992), Community and Society in Roman Italy, John Hopkins University Press.
ECLAC (Economic Commission for Latin America and the Caribbean) (2009), Social
Panorama of Latin America, 2008 (LC/G.2402-P), Santiago, Chile, March 2009.
United Nations publication, Sales No. E.08.II.G.89.

(2007), Social Cohesion: Inclusion and a Sense of Belonging in Latin America and the
Caribbean (LC/G.2335/Rev.1), Santiago, Chile.
ECLAC (Economic Commission for Latin America and the Caribbean)/EUROsociAL
(2007), A System of Indicators for Monitoring Social Cohesion in Latin America (LC/
G.2362), Santiago, Chile, December.
Filgueira, Fernando (2007), “Cohesión, riesgo y arquitectura de protección social en
América Latina”, Políticas sociales series, No. 135 (LC/L.2752-P), Santiago, Chile,
Economic Comission for Latin America and the Caribbean (ECLAC). United
Nations publication, Sales No.S.07.II.G.89.
Fleury, Sonia (2006), “Los patrones de exclusión e inclusión social”, Ciudadanía y desarrollo
humano, United Nations Development Programme (UNDP)/Siglo XXI.
Garretón, Manuel Antonio and others (2004), América Latina en el siglo XXI, Santiago,
Chile, LOM.
34

Social cohesion in Latin America: concepts, frames of reference and Indicators

Gasparini, Leonardo and others (2008), Polarización económica, instituciones y conflicto,
Santiago, Chile, Uqbar.
Hopenhayn, Martín (2007), “Cohesión social: una perspectiva en proceso de
elaboración”, Cohesión social en América Latina y el Caribe: una revisión perentoria
de algunas de sus dimensiones, project documents, No. 120 (LC/W.120), Ana Sojo
and Andras Uthoff (eds.), Santiago, Chile, Economic Commission for Latin
America and the Caribbean (ECLAC).
Marcel, Mario and Elizabeth Rivera (2008), “Regímenes de bienestar, políticas
sociales y cohesión social en América Latina”, document presented at the
international conference The Latinamerican social cohesion La cohesión social
latinoamericana, Santiago de Chile, Corporación de Investigaciones Económicas
para Latinoamérica (CIEPLAN), 13 de mayo.
Meller, Patricio and others (2008), “Mercados laborales”, Redes, Estado y mercados: soportes
de la cohesión social latinoamericana, Eugenio Tironi (ed.), Santiago, Chile, Uqbar.
Peña, Carlos (2008), “El concepto de cohesión social”, Redes, Estado y mercados: soportes
de la cohesión social latinoamericana, Eugenio Tironi (ed.), Santiago, Chile, Uqbar.
Pérez, Sebastián and Eugenio Tironi (2006), “¿Cómo hacer de la noción de cohesión
social un concepto operacionalizable para Latinoamérica?”, Santiago, Chile,
Economic Research Corporation for Latin America (CIEPLAN), unpublished.
Sorj, Bernardo and Danilo Martuccelli (2008), El desafío latinoamericano. Cohesión social y
democracia, Buenos Aires, Siglo XXI.
Tironi, Eugenio (2008), La cohesión social latinoamericana, Santiago, Chile, Uqbar.

Tironi, Eugenio and Bernardo Sorj (2007), “Cohesión social: una visión desde
América Latina”, Pensamiento iberoamericano, No. 1.

Tironi, Eugenio and Sebastián Pérez Bannen (2008), “La cohesión social
latinoamericana”, Redes, Estado y mercados: soportes de la cohesión social latinoamericana,
Eugenio Tironi (ed.), Santiago, Chile, Uqbar.
Tironi, Manuel and Eugenio Tironi (2008), “Ciudad, cohesión y violencia”, Redes,
Estado y mercados: soportes de la cohesión social latinoamericana, Eugenio Tironi (ed.),
Santiago, Chile, Uqbar.
UNDP (United Nations Development Programme) (2004), Desarrollo humano en Chile
2004. El poder: ¿para qué y para quién?, Santiago, Chile.
______ (2002), Nosotros los chilenos: un desafío cultural, Santiago, Chile.
______ (1998), Desarrollo humano en Chile 1998: las paradojas de la modernización, Santiago,
Chile.
Valenzuela, Eduardo and others (2008), Vínculos, creencias e ilusiones, Santiago, Chile,
Uqbar.

35

Social cohesion in Latin America: concepts, frames of reference and Indicators

Chapter II

The spatial dimension of social cohesion
in Latin America
Rubén Kaztman

A. Introduction

This article explores a number of phenomena that can affect the degree
of social cohesion present in urban areas. The phenomena are forms of
segmentation in certain areas of urban life: the labour market, the provision
of essential services and the spatial distribution of the urban population.
Although this study was initially designed to explore the effects of
residential segregation on social cohesion, the account offered here is
governed by the assumption that the types of segmentation mentioned above
are closely related, and that attempting to isolate the effects of any one of these
types of segmentation on the social fabric of the city is futile. Accordingly, this
article focuses on dimensions and indicators that may be useful for research
exploring the relationships between cities’ essential structural features and
their levels of social cohesion.
Today, the validity and reliability of many of the empirical pillars that
could support hypotheses regarding the relationships between different
types of segmentation, as well as their relation to the variables of social
cohesion, are fragile. Long maturation is still needed before academic work
in this field can begin to yield robust and reliable results. In the meantime, it
seems worthwhile to try to compensate for the empirical insufficiencies by
37

Chapter II

The spatial dimension of social cohesion in Latin America

developing a dense fabric of analytical relationships among all the variables
involved. This will provide a solid conceptual foundation for the architecture
of the hypotheses to supplement the scanty scaffolding provided by the
available empirical structure.
1.

The city and social cohesion

The process by which traditional societies are transformed into modern ones has
been marked by a change from “mechanical solidarity” to “organic solidarity”.
In the process, patterns of social cohesion rooted in primary relationships have
been replaced by a gradual universalisation of citizens’ rights.
Cities have played a central role in this transformation. Max Weber argued
that the notion of citizens’ rights began to mature in the small fortified cities
of the Middle Ages, where populations were dense, inhabitants were totally
dependent on each other for their material needs, and spaces and services
were shared. Weber saw such environments as the seedbed of phenomena that
eventually fostered the development of citizenship —phenomena such as:
• strong demand by residents for equal treatment under the law, associated
with comparably strong resistance to aristocratic privilege;
• the institutionalization of the idea of the public good —that is, the
notion that the well-being of each is linked with that of others, and
• the activation of a dynamic of cooperation for conflict resolution that
laid the groundwork for the establishment of specialised institutions
in this area.
A long-range view reveals that after some centuries of struggle and
conflict, the social dynamics put in motion by these phenomena converged,
leading to a gradual expansion of areas of consensus regarding the
universalisation of citizens’ rights. The appearance of the welfare State
provided support for such consensus, particularly during the respite from
class conflict that followed World War II —the years that Hirschman calls
the “Glorious Thirty”.
In the late twentieth century and the early twenty-first, however, the
idea began to emerge that the role of cities in promoting social cohesion and
democracy was weakening seriously. This change appears to be associated with
nodal features of the new modes of accumulation in the globalised economies,
such as accelerating technological change, the consequent centrality of
knowledge in the productive process, the rapidly rising skill levels required
for stable and secure jobs, and the concentration of good jobs in globalised
circuits —all of which has led to changes in the urban labour market and
38

Social cohesion in Latin America: concepts, frames of reference and Indicators

the social morphology of the city. The results include segmentation in the
workplace, in the provision of basic urban services and in the locations of
different socioeconomic categories of households.
2.

The purpose of the present study

Taking account of the multiplicity of economic, cultural, demographic and
social factors that shape social cohesion in cities,1 as well as the historical trends
outlined above, this article attempts to provide guidelines for measuring certain
processes of urban segmentation and segregation explored in the specialised
literature that affect the health of the urban social fabric.
Each of the areas of segmentation —residential location, workplace and
basic services— is examined here from two points of view: as a source of
physical, human or social capital, and as a sphere of interaction for enhancing
the capacity to coexist harmoniously in conditions where inequality is a reality.
Thus, we examine the forms of urban segmentation as processes that affect
both the inequality of asset configurations in the different social classes, and
the opportunities for members of different classes to meet in environments
governed by universal norms.
There is a reasonable degree of consensus regarding the notion that
cohesion in urban settings is reflected in the strength or weakness of the
urban social fabric, and that this strength or weakness is in turn related to the
effectiveness of the norms that govern the lives of their inhabitants, as well as
to the general atmosphere of cordiality or conflict permeating the collective
space. Achieving cohesion depend on residents’ willingness to cooperate, to
construct negotiated arrangements for conflict resolution and to participate
in the type of cross-class alliances that make these patterns of behaviour
sustainable. The present article proposes instruments for understanding
how such dispositions on the part of urban residents is affected by levels
of segmentation in the labour market, in basic services and in the territorial
distribution of the different classes’ places of residence.
The following scheme summarises the conceptual framework that
guides our analysis:

1



Including all of these factors in a single explanatory model entails highly complex methodological
problems, of which we shall mention two by way of illustration. First, the effects of each of the factors
manifest themselves most clearly at different levels of population aggregation. This makes it difficult to
isolate the effects of the different factors on any particular phenomenon that one is seeking to explain.
Second, the significance of interactions between members of different social classes is a function of the
physical context in which the interactions occur (school, hospital, recreational space, workplace, public
transportation, or other).

39

Chapter II

The spatial dimension of social cohesion in Latin America

■■

Figure II.1

Conceptual framework

Level of segmentation of
basic urban services

Level of segmentation in
urban labour market

Degree of urban
social cohesion

Levels of urban residential
segregation

Source: Prepared by the author.

Methodological note

The recent worldwide surge of interest by social scientists in investigating the
elements on which harmonious urban coexistence is based has revealed the
ambiguity of the very notion of social cohesion. The ambiguity is evident in
the uses of the term —for example, the metamorphoses that it undergoes
when used to describe the social structures of population aggregates on
different scales, ranging from small groups and communities to entire societies.
Some of the multiple dimensions and nuances commonly associated with
the idea of social cohesion prove to be more useful at some of these levels
of aggregation than at others. The usefulness of the concept also depends
on the type of variable (competitiveness, growth, political stability, a group’s
perceptions of well-being, and so on) that a researcher is attempting to explore
by monitoring levels of social cohesion. Of course, there is less ambiguity
when the units whose social structure is being described are smaller and
more strictly defined.
ECLAC has defined social cohesion as the “dialectic between established
mechanisms of social inclusion or exclusion and citizens’ responses,
perceptions and dispositions in relation to the way these operate” (ECLAC,
2007, p. 16). From an instrumental point of view, this means identifying the
mechanisms of inclusion/exclusion, as well as the mindsets and behaviours
with which people react to the presence and functioning of these mechanisms.
40

Social cohesion in Latin America: concepts, frames of reference and Indicators

The processes of segmentation and segregation in large cities point precisely
to the two central dimensions of this definition: a vertical dimension that
measures disparities of access to opportunities for well-being, and a horizontal
dimension representing the mindsets and dispositions to act that manifest
themselves in social interactions.
Social scientists have made little effort to develop indicators of
workplace, service and residential segmentation, or to study the relationships
of these factors to social cohesion in cities. This is due, on one hand, to the
scope of the methodological and operational problems that face such research,
and, on the other, to a current bias in the social sciences that encourages
focusing on present circumstances (rising or declining poverty, inequality,
coverage of educational services and so forth) and correspondingly tends to
neglect mechanisms like segmentation and segregation that operate over the
medium and long term.
The tentative nature of the dimensions and indicators proposed below,
for most of which there are as yet no solid tests of validity and reliability,
reflect these lacunae in sociological research. The weakness extends to the
empirical scaffolding that provides some of the underpinning for hypotheses
regarding a link between segmentation/segregation and levels of urban
social cohesion.
The present work attempts to compensate partially for those weaknesses
by making ample use of informed speculation and reasonable conjecture
regarding the logical relationship between forms of urban segmentation and
segregation, and between both of these and the quality of the social fabric.
The purpose of this approach is to render the proposed system of indicators
sustainable by providing a dense conceptual framework as a supplement to
the weak empirical pillars on which the system partially rests.
A second methodological point is the use of the terms differentiation,
segmentation and segregation in this article. Differentiation, simply enough, refers
to differences between the attributes of two or more social categories.
Segmentation adds to the notion of difference the idea of barriers between
different socioeconomic groups that prevent passage and inhibit interaction
between members of the different groups in settings where the segmented
activity takes place (work, education, health care, transportation, recreation
and so on). Segregation —a term that the literature most often employs in
connection with place of residence —is used here to indicate a will on the
part of members of one or another population group to maintain or fortify
the barriers that create segmentation.

41

Chapter II

3.

The spatial dimension of social cohesion in Latin America

Scheme of work

The work described here is based on the assumption that explaining why
levels of social cohesion (sense of belonging, identity, trust, solidarity, moral
responsibility towards others, aversion to inequality and so on) vary from
city to city requires information both on the living conditions of the social
classes in the cities being compared and on the level and types of interaction
occurring between the classes.
Below, we shall examine segmentation in the workplace from this
perspective, focusing on essential services and on the spatial distribution of
households —with reference always to the two dimensions mentioned above:
differences in the quality of what is obtained by participation in each of the
segmented areas of urban life (good jobs versus bad, good education or health
versus poor, and so on) and the scope of opportunity that each of the areas
provides for interaction between unequal parties. For each of these processes
of segmentation, the present document proposes tentative indicators of their
nature, their principal determinants and the main consequences that they have
on different dimensions of urban social cohesion.

B. Labour market segmentation

Information on segmentation in labour markets is a key element for
understanding social polarization in today’s cities. The urban population has
taken to heart the idea that full citizenship is associated with work, and that
aspirations of sharing in the material fruits of economic growth can only be
satisfied through well-paid and stable jobs that provide social benefits. Under
these circumstances, those who remain unemployed for long periods, or who
live without such protections, tolerating perforce the uncertainties of the
informal sector, may well find it difficult to feel that they are full participants
in the society of their day.
In today’s context of economic restructuring and expanding frontiers
of competitiveness, most of the sectors involved in the urban production
of goods and services are absorbing technological and organizational
innovations at a rapid pace. With the resulting changes in forms of
production, more sophisticated skills than in the past are generally needed
to obtain good jobs.2

2



42

Technological and organizational innovation can also have the contrary effect, replacing workers’ skills
and reducing their scope for control and decision-making with respect to the contents and organization
of their work.

Social cohesion in Latin America: concepts, frames of reference and Indicators

Some large cities have undergone a process of de-industrialization, at the
same time as the State’s employment capacity was shrinking and unregulated
labour increasing. These factors combined to reduce the proportion of
stable jobs with social protections and to shift a portion of the wage-earning
population into the private service sector. Since the distribution of income
and skills in the private sector is generally more polarized than in industry or
government, the change in the sectoral composition of the workforce rapidly
reshaped the social structure of the cities.3 Some of this is due to the fact
that many personal services and economic activities that are a part of daily
household consumption can be replaced by family labour —a fact that limits
productivity growth in these services, and exposes them to a “cost disease” that
makes them inherently precarious and unstable (Baumol, 1967). On the other
hand, most of those at the high end of the service-sector hierarchy, such as
scientific patent holders, insurance companies, financial agents, travel and real
estate agents, consultants, technological researchers, computer programmers
and so forth, have very high skill levels and incomes.
A correlation between job quality and schooling has always existed.
However, the processes described above have reinforced the relationship, while
leading to a drastic devaluation of the types of skills and abilities acquired
in the workplace. As a result, the disparities of remuneration, job stability,
social protections, promotion, and career opportunities in general, between
workers in different sectors of segmented markets, have increased.
Since a worker’s level of skills is a given and determines his or her
position in the social structure, segmentation in the labour market also implies
a narrowing of workplace opportunities for interaction between individuals
of low and high socioeconomic strata.
1.

Possible indicators of labour market segmentation

Pronounced labour market segmentation is a feature of dual economies,
where some sectors are largely integrated in global markets and have
workers with high levels of skills, knowledge and capacity for innovation,
while other sectors primarily draw on local labour markets, employing
relatively unskilled workers. Occupational alternatives in the latter sectors
are limited by low wages, and in some cases workers are largely domestic
and/or international migrants.
3



There is very wide-ranging discussion of the effects of deindustrialization on inequality (among others, see
Sassen, 1996; Mollenkopf and Castells, 1991; Hamnett, 1998, and Musterd and Ostendorf, 1998). One
of the main focuses of the debate is the failure to consider processes that may play a role in increasing
income inequality, and that are connected, among other things, with changes in tax and social benefits
systems, unemployment, household composition and the age structure of the population. The action of
the State is central to investigating and analysing these issues.

43

Chapter II

The spatial dimension of social cohesion in Latin America

Many indicators can be used to measure urban labour segmentation.
Since access to the more desirable segments of markets increasingly depends
on education, indicators must be designed to reflect changes in the degree
of correlation between schooling level and job quality.4
Although their coverage of analytical categories differs, the great majority
of the region’s household surveys provide abundant and detailed information
on working conditions. This makes it possible to describe forms of integration
in the labour market through data on workers’ principal and secondary
occupations: total income, number of hours worked (this makes it possible to
calculate hourly income and identify the underemployed), presence or absence
of a contract, coverage of benefits, nature of workplace (home, street or
regular place of business) and occupational category. The sector of activity
in which workers are engaged is also explored, distinguishing public-sector
enterprises and organizations from private, and differentiating establishments
by size. Some surveys inquire into the presence or absence of unions in the
workplace, either directly or via special modules, as well as asking whether
interviewees are members or not, how long it takes them to get to work, and
what sources of information and contacts they use in job-hunting.
Efforts to develop instruments to measure and compare labour market
segmentation in different cities should focus on how and to what extent
educational level relates to the various indicators of job quality.
2.

Possible indicators of determinants of labour segmentation

The structure of job opportunities is highly dependent on the routes to
competitiveness that cities take to integrate in the global marketplace, and
by which they define themselves on the national, regional and world scene.
The adoption of one or another route is usually the result of multiple
decisions by economic and political elites. These decisions may be connected
to varying degrees, but they all reflect the competitive potential of a city’s
configuration of assets.5
The quantity of high-quality human resources as a proportion of the total
urban economically active population (EAP) is one of the most powerful
4



5



44

When working in the context of the medium and long term, it is advisable to use educational indicators
that take account of changes in people’s relative —not absolute— position in the educational stratification.
There are two reasons for this. One is the marked rise in educational level in all of the region’s cities over
at least the last two decades, the other the rapid change in job recruiting criteria as a response to the
new distribution of skills available in the labour market.
This configuration can include physical capital (technological, financial and industrial infrastructure),
human capital, social capital (such as the solidity of institutions and the level of governance), cultural
capital (museums, buildings, monuments and the like), as well as geographical factors of location and
natural landscape.

Social cohesion in Latin America: concepts, frames of reference and Indicators

indicators of a city’s options when it comes to choosing between routes to
competitiveness based on a high density of human capital and routes based
on a low density of such capital. Cities with large numbers of skilled workers
can opt for strategies based on knowledge, technology and innovation, while,
in cities that have abundant pools of unskilled labour, the tables turn in
favour of labour-intensive forms of production. Most of Latin America’s
large cities have not clearly chosen one strategy over the other, but have a
dualistic pattern in which high-technology productive units exist side by side
with labour-intensive maquilas.
Indicators that can be used to identify the two situations described above
are the percentage of the employed EAP that has some tertiary education or
that has completed technical study at the secondary level, and the percentage
of the employed EAP that has not completed primary school.
Another aspect of a city’s configuration of assets is its labour institutions
and the role of the State in regulating collective bargaining and social benefits
associated with work. Possible indicators in this area are (i) the percentage of
the EAP covered by collective bargaining mechanisms; (ii) the percentage of
the EAP that belongs to labour unions, and (iii) the percentage of the EAP
that has formal labour contracts and is covered by social security benefits.
Some factors that play a role in cities’ routes to competitiveness are more
difficult to measure: the city’s location in relation to major economic centres,
its topography and natural landscape (which may, for example, make tourism
a more or less feasible economic activity), technological infrastructure from
earlier investments, municipal officials’ degree of autonomy from national
or regional government, and so on.
3.

Urban labour segmentation as it affects the dimensions of social
cohesion in urban settings

In attempting to assess the significance of labour segmentation for social
cohesion in cities, at least two historical elements are important to consider.
Both have to do with the central role of work —in one case, its role in the
formation of the modern identity, in the other, its role in the history and
form of the region’s welfare states.
Today’s trend towards ever more precarious employment for low-skill
workers is present in societies that have left “mechanical solidarities” behind
and have entered spaces dominated by “organic solidarities” (Durkheim,
1964). In other words, as the social division of labour has evolved, and economic
activity has differentiated and become increasingly specialised, the imperative
of interdependence has become a driving force, and societies’ principal locus
45

Chapter II

The spatial dimension of social cohesion in Latin America

of integration has shifted from its primary institutions (family, community and
religion) to the work world. Progressive recognition of this change has fostered
hopes based on the experience of nations that industrialized early, where work
functioned as a prime path to integration in the society (as a source of identity
and self-esteem).
In the environment created by today’s new modes of growth, however,
certain segments of the population can no longer realistically aspire to long-term
stable jobs with social benefits. The promise of integration, and the advantages
accompanying it, has therefore lost credibility. Experience in the work world is
ceasing to be people’s principal way to autonomously and sustainably improve
their level of well-being, incorporate the routines and disciplines that help
organize everyday life, articulate an individual identity that is consonant with
a collective identity and achieve a place in society. Where society previously
offered opportunities to participate in mechanisms of social integration and
construction of citizenship, segments of the population that are excluded from
access to “decent jobs” today face a vacuum.
This dilemma bears a relation to the second historical element that must
be considered in assessing the effect of labour segmentation on social cohesion
—namely, the region’s prevailing type of welfare regime.6 Although the countries
of Latin America have not reached a level of coverage, quality and articulation of
social benefits that would put them in the category of welfare States in EspingAndersen’s sense of the term (1990, 1999), the region does have embryonic
welfare regimes. They have been constructed on the lines of the “conservative”
continental European model, which emphasises rights in association with work,
rather than the Nordic “social democratic” model, which emphasises universal
citizens’ rights, or the liberal Anglo-Saxon model with its focus on providing
safety nets for the poor and marginalized. Thus, the region’s institutions for
socializing risk are poorly prepared to cover the dangers facing a population
whose ties to the labour market are precarious and unstable.7


6

7



46

By the term “welfare regime” we refer to the more or less connected set of protections from social risks provided
by the institutions of the State, the market, the family and the community (Esping-Andersen, 1999).
The State certainly plays a central role in determining the effects of economic restructuring on labour
segmentation. A guaranteed social wage reduces individuals’ need to accept unattractive jobs in areas
such as the low-skill service sector, and government employment programmes can temporarily absorb
workers displaced by technology in various types of service jobs. Changes in tax systems can also
activate potential sources of work. In general, the State can adjust and balance the coverage and volume
of the resources that it transfers to the social groups most affected by economic reforms, giving a more
or less progressive cast to its action, and reflecting a greater or lesser will to provide a cushion from the
concentrating effects of reforms. These factors help to explain the different changes of income distribution
and shifts in the relative weight of the informal sector that are occurring in developed countries with differing
welfare regimes. However, even studies emphasizing differences between regimes find indications that
under the pressure of expanding frontiers of competitiveness and demographic change social security
coverage is shrinking. This is true even in countries distinguished for their progressive approach in this
area (see White, 1998, on France; Friedrichs, 1998, on Germany; Kestellot, 1998, on Belgium; Borgegard,
Anderson and Hjort, 1998, on Sweden).

Social cohesion in Latin America: concepts, frames of reference and Indicators

Failures of countries’ labour markets and welfare architectures widen the
gaps between urban residents working in different segments of the region’s
segmented labour markets. The question that emerges is: What are the asset
configurations of those on the unfavourable side of the gap?
One element of these asset configurations is the social capital that
individuals have acquired. For those with low skill levels, daily interaction
with more skilled peers provides a potential source of exposure to role
models, as well as opportunities for access to information and contacts that
can be useful for career development. Settings that do not provide for such
encounters —that is, where work relationships are limited to co-workers with
the same low skill levels— reduce the chance of accumulating social capital
for upward mobility. In extreme cases, workers’ ties with the labour market
are so fragile that they experience recurring periods of unemployment, as
well as job instability and lack of social protections. As a result, they lack
the opportunities and resources to build lasting social networks with fellow
workers. Those for whom work no longer functions as a central factor
promoting a sense of belonging are thus the most vulnerable.
Another dimension of social cohesion that is affected by labour market
segmentation is the extent to which opportunities to build social capital
collectively or as citizens differ. Since work skills are associated with having a
“voice” —that is, with the ability to articulate and make collective demands—
sharing a workplace with more highly skilled peers increases the opportunity
of the unskilled to participate in labour organisations and benefit from the
collective support that these provide for workers’ interests and rights. Union
membership also provides an opportunity to exercise citizenship as a member
of a group that negotiates demands with other groups. Conversely, working
in an environment that does not include workers’ with a “voice” makes it
more difficult for the less skilled to obtain organizational support for their
citizens’ rights.
As figure II.1 shows, labour market segmentation also affects social
cohesion through the phenomenon of residential segregation. This occurs
because differences in income and jobs are likely sooner or later to translate
into gains and losses in the context of new economic growth patterns, and
residential patterns will reflect those outcomes. Relatively unskilled workers
will find it increasingly difficult to pay rent, or to find guarantors for leases
or housing loans in central urban areas, and many will be forced to move
to cheaper neighbourhoods, usually at the periphery of the city. The more
skilled, on the other hand, will have opportunities for upward mobility,
and will move to more select parts of the city in central areas undergoing
gentrification, or to new suburban gated communities or other suburban
middle-class residential areas.
47

Chapter II

The spatial dimension of social cohesion in Latin America

Even if the trend of workplace segmentation does not affect rates of
intra-urban migration in a major way, however, the impact of changes in
the labour market on the lives of those living in different parts of the city
can be expected to alter a city’s social morphology. Residents of workingclass areas in those of the region’s countries where industrialization took
place relatively early appear to have experienced this. The social life and
institutions that emerged in the factory and in the neighbourhood context
in these sectors created a harmony that strengthened solidarity in both the
work and residential worlds. With de-industrialization, the residents of these
working-class neighbourhoods lost their strong ties with the labour market,
and with this their job stability and social protections. These neighbourhoods’
integration with the rest of urban society suffered accordingly. The scenario
resembles what Robert Castell (1997) has called “the wage society”.
Table II.1 shows a broad range of dimensions and indicators of
workplace segmentation. However, incorporating the issue of workplace
segmentation in multidimensional models to explain social cohesion requires
a “short list”. The following three indicators, controlled for sex and age, are
suggested for this purpose:
• Correlation between educational level and strength of ties with the
labour market —the strength of these ties being measured by an
index that captures unemployment, underemployment and workers’
contract or non-contract status.
• Correlation between educational level and access to well-being
through paid work —access being assessed by measuring the hourly
income of workers’ principal occupation and their coverage (or lack
of coverage) by social benefits.
• Correlation between educational level and opportunities for collective
action in the work context —these opportunities being measured
by union membership.

48

Social cohesion in Latin America: concepts, frames of reference and Indicators

■■

Table II.1

Dimensions and indicators of the nature, determinants and consequences
of workplace segmentation
Nature

Determinants

Consequences

• Correlation between schooling deciles and
(i) hourly wage in principal occupation;
(ii) unemployment rate among heads of
household; (iii) proportion of own-account
workers without a regular place of
business, and (iv) proportion of workers in
personal services.
• For wage earners only: (v) proportion
contributing to social assistance systems;
(vi) proportion whose workplace has a
union; (vii) proportion who belong to a
union; (viii) proportion working in medium
or large firms (size definitions adjusted
according to size of city); (ix) proportion
working in the public sector; (x) proportion
with open-ended contracts.
• The above variables are to controlled for
sex, age and (in cities where ethnic groups
constitute a relatively high proportion of the
population) ethnicity.

• The goal here is to measure variables that can
influence a city’s selection of different routes to
competitiveness.
• Structure of urban EAP by educational level.
• Proportion of wage-earning EAP covered by
collective bargaining mechanisms.
• Proportion of wage-earning EAP belonging to
workers’ organizations.
• Proportion of wage-earning EAP with indefinite
contracts and social security coverage.
• Percentage of public spending devoted to science
and technology.
• Degree to which the State regulates collective
bargaining.
• Degree to which State obligates businesses to
cover social benefits.

• Correlation between features of
labour market integration (principally
establishment size, public/private nature
and economic sector) and (i) experience
of having obtained stable work with
social protections through information or
contacts provided by friends;
(ii) union membership; (iii) participation
in political parties; (iv) participation in
social or political movements;
(v) level of trust in institutions; (vi) level
of interpersonal trust; (vii) feeling of
belonging to society; (viii) expectations
of improving living conditions;
(ix) readiness to collaborate across
class boundaries; (x) expectations of
cross-class collaboration and collective
responsibility; (xi) possibility of crossclass alliances to maintain and develop
public goods.

Source: Prepared by the author.

C. Segmentation in services
1.

The nature of service segmentation

Quality of service is a basic dimension of segmentation in the service sector,
but another dimension is the socioeconomic homogeneity or diversity of the
users who attend the places where services are provided —a factor that affects
whether there are opportunities for interaction between the social classes.
Generally speaking, the entry barriers that individuals and households
face in attempting to access particular services are a function of their
purchasing power. It is a well-known fact that some private schools filter
applicants in terms of their religion, nationality, family background or social
connections, while some recreational venues exclude young people whose
dress, skin color or other symbolic marks identify them as members of lowstatus social groups or classes. There are also situations in which workingclass populations are unable to take advantage of the free services available
in wealthy neighbourhoods because the realities of transportation make these
areas practically inaccessible to them.
The growing importance of e-services and virtual social communities
and networks raises the question of whether new ICTs have the ability to
create bridges between the classes and thus repair some of the damage to
the social fabric produced by segmentation in other contexts.
49

Chapter II

2.

The spatial dimension of social cohesion in Latin America

Determinants of segmentation in services

(a) Middle-class abandonment of public services

 Where basic services are concerned, it is clear that globalisation, while
increasing labour market inequalities, has spawned new types of services,
increased the range of quality of services available and served to make
information on these services more widely available. In the new scenario,
middle-class sectors that have profited from globalisation and have the means
to begin paying for education, health and security services, and to provide
for their future through the private sector, have begun to do so.
The middle-class flight from public services has to do with changes
in people’s opportunities, resources and motivations. Opportunities for
migration to the private sector naturally present themselves when private
services are created to compete with public services. There can be pronounced
variations in the pool of private services offered in different cities, the size of
which (in comparison to the pool of public services) is directly proportional
to city size. This is because, as a city’s population grows and a critical mass of
potential users develops, it becomes profitable for certain economic agents
to enter the market.8 When this occurs, some members of the middle class
—generally the most affluent— shift from the public sector to the private.
Sooner or later, this weakens their commitment to maintaining and improving
the public goods that they and their families no longer use.
The emergence of a critical mass of potential users of private services
depends not only on city size, but on the proportion of residents who have the
means to pay for private services. This portion of the population tends to consist
of those middle-class sectors that are most closely associated with globalised
productive structures (Sémbler, 2006). Thus, it is not surprising that the tendency
of the middle classes to abandon public services, and the segmentation that
results, are greater in contexts of pronounced income inequality.
In addition to changing opportunities and available resources, the
motivation or willingness of urban middle-class residents to share spaces
with less advantaged groups plays a role in whether or not they abandon
public services. A number of factors influence them: (i) the growing freedom
of choice that they may have; (ii) the degree to which they wish to mark the
difference between their present position and their origins; (iii) their desire to
participate in networks that are sources of valuable social capital, and (iv) a
8



50

The inflection point from which the size of cities permits the formation of critical masses of middle-class
sectors with the ability to purchase private services in the market definitely varies with the form of a city’s
urban stratification pyramid.

Social cohesion in Latin America: concepts, frames of reference and Indicators

desire to avoid contact with stigmatized groups. Each of these four factors
merits more detailed examination.
First, the general closeness and frequency of personal contact that
characterises small cities fosters interconnected networks of sociability
that actively include the great majority of inhabitants. Relying on informal
mechanisms, these networks are usually highly efficient in controlling
deviations from majority habits and lifestyles. Impulses that members of
the middle and upper classes may feel to distance themselves from the main
contexts of sociability and shared experience are thus inhibited. As the size
of a city increases, however, community pressure for uniform behaviour
diminishes, and there is more room for individual choice. Those who wish
to can take advantage of new opportunities to acquire goods and services
provided outside of the public sphere.
The use of private services can also reflect a desire for social
differentiation. This is particularly evident in upwardly mobile sectors for
whom private services are a symbol confirming the legitimacy of their
changing status, at the same time as it clearly marks the distance that they
have travelled from their socioeconomic origins.
Besides the quality of service and the symbolic gratification of
participating in socially prestigious institutions, people may choose private
services as a result of exacting calculations of their practical value as sources
of social capital, for face-to-face social interaction in the settings where
services are provided —whether they be schools, exclusive recreational
facilities or other venues— can generate information and contacts that are
useful in other contexts.
A fourth aspect of the decision to abandon public services is the
desire to avoid contact with those social groups that are benefiting from the
expanding coverage of these services. Some of this aversion to contact may
reflect sociocultural differences between long-standing urban dwellers and
newer residents. The greater these differences, the greater the probability that
the old urban classes will construct stigmatised images of new working-class
sectors. These images in turn feed feelings of fear and threat about physical
proximity with the new residents of the city. Such situations are frequent in
cities experiencing large migrations from rural areas or smaller towns, and
reflect a country’s regional inequalities and diversities. The greater a country’s
inequalities and diversities, the more the migrants’ habits and orientations will
differ from those of a city’s long-time residents. The presence of newcomers
with “exotic” behaviours in places where public services are provided can
induce some middle-class sectors to avoid these places as soon as they find
accessible alternatives for obtaining the services that they need.
51

Chapter II

The spatial dimension of social cohesion in Latin America

Recognition of these problems helps to understand the challenges
facing efforts to collectively construct modes of harmonious coexistence in
contexts of inequality, to address the profound problems of assimilation that
migrants face and to deal with middle-class resistance to recognizing the new
urban residents as citizens with equal rights.
■■

Figure II.2

Factors affecting the disposition of the urban middle classes to abandon public spaces

City size and emergence of private services
competing with public services (opportunity).
Modes of accumulation; inequalities of
income distribution (resources).
Social composition (diversity) of the
urban population; fear of contact with
other classes (motivation).

Inclination of the
middle classes to
abandon public
services and
goods.

Source: Prepared by the author.

(b) The pace of urbanisation

 In assessing the possible effects of these processes on social cohesion,
it is also important to consider the pace of urbanisation. The speed with
which cities are growing shapes at least two phenomena that can affect the
social fabric. On one hand, the faster the growth, the narrower the margin
that major actors have to adjust welfare systems to the new risk patterns
of the migrant population. In connection with the discussion in the above
section, it should be stressed that very rapidly expanding demand for services
can exceed municipal government’s institutional capacity to maintain the
quality of public services. At the same time, the speed of urbanisation can
hinder the orderly and peaceful transformation of the conventional patterns
of urban coexistence needed to create space (physical and figurative) for
the new residents.
3.

Effects of service segmentation on social cohesion

(a) The commitment of the middle classes to public goods

 One consequence of the circumstances described above is that when
the supply of private services in a city coincides with purchasing motivation
and means, a portion of the middle class will abandon public services. They
52

Social cohesion in Latin America: concepts, frames of reference and Indicators

thereby avoid exposure to the common problems that arise when shared
spaces mean interaction between classes. In time, their interest in maintaining
and developing services that they no longer use is bound to diminish.
Parents who send their children to private schools will have little incentive
to invest time and effort in improving public schooling. Public hospitals and
transportation suffer from a similar indifference, and public security is likely
to as well, to the extent that households and families resort to private security
services. Generally speaking, it is reasonable to expect the abandonment of
public services by the urban middle classes to erode their commitment to
maintaining and improving public goods —a situation that obviously has
consequences for social cohesion in the city.
(b)  Differences in the quality of services, and diminishing opportunities
for interaction between people of disparate social status

 Lack of support for public goods by those who have a “voice” contributes
to disparities of quality between public and private services. These gaps have
been the subject of substantial research, particularly in the area of education.
The results of academic aptitude or achievement tests consistently show that,
controlling for other factors, private school students have higher scores than
their public school peers.9
As to opportunities for interaction between members of different
urban classes in educational settings, studies show that a majority of private
school students come from middle class and wealthier households, while the
great majority of those attending public schools come from lower-income
households. Moreover, some findings suggest that the attendance of middleand upper-class children in public education increases as attendance by
children of lower-income families decreases. The proportion of lower-income
students in public education is smallest at the primary level and greatest at the
tertiary level —a phenomenon that is quite evident in those of the region’s
countries that have free public tertiary education.
The effects of educational segmentation on opportunities for interaction
with people of other socioeconomic groups, and on the quality of services
available to different groups, are mirrored in other basic urban services such
as health, transportation, security and recreation.

9



See, among others: Contreras, Corbalán and Redondo (2007) and Mizala and Romaguera (1998) for
Chile; Cervini (2002) and Gertel, Giuliodori, Herrero and Fresoli (2007) for Argentina; Mizala, Romaguera
and Reinaga (1999) for Bolivia; and Miranda (2008) and Benavides (2008) for Peru.

53

Chapter II

The spatial dimension of social cohesion in Latin America

(c) Attitudes and orientations to action

 As to the effects of service segmentation on social cohesion in the urban
setting, the isolation that it produces tends to generate orientations to action
that are different in the middle classes from what they are in the lower classes.10
Major impacts for middle-class residents include effects on their sense of
empathy and moral responsibility vis-à-vis the working class, on their readiness
to value the intrinsic virtues of working class people and on their willingness
to make efforts to understand unfamiliar codes of interaction and avoid
stereotyping and stigmatising lower-income residents with categorical terms
such as rotos (Chile), planchas (Montevideo) or villeros (Buenos Aires). Other
important factors are tolerance (or intolerance) of inequality, willingness (or
unwillingness) to pay taxes for redistributive purposes, and support of (or
opposition to) politicians who are committed to advancing equity, protecting
the weakest and maintaining the quality of services available to all.11
All of these mindsets are magnified as the intensity and frequency of
informal contacts with people from different socioeconomic strata increase,
but weakened when not activated through such contact on a regular basis.
Among the lower economic strata, meanwhile, the absence of venues for
interaction with members of other social strata encourages mindsets that may
include resentment, mistrust, and rejection of the middle class as a source of role
models. A lack of opportunities for interaction also generates discouragement
about the possibility of social mobility and about the possibility of acquiring
a place in the city’s modal economic and cultural circuits.
In short, all cities and times have had economic elites that favour private
services. As long as their numbers are small, the phenomenon may not affect
public spaces in a way that noticeably damages the social fabric. However,
when substantial portions of the middle class flee public venues, the social
fabric rapidly deteriorates. Given their relative weight and the significance
of their “voice” in maintaining and developing collective goods, a lack of
commitment to public services on the part of the middle classes weakens the
mechanisms that preserve these public goods, and that ultimately underpin
the social fabric of the city.


10



11

54

In considering possible ways of reversing segmentation in services, it is important to know the composition
of user populations. Members of the general population can be expected to be less affected by
segmentation than members of the policy community. The key question is to what extent public officials
are capable of supporting the quality of public services that they and their families do not use. In an
email, the Argentine journalist and historian Martin Caparrós asks whether this is not like asking whether
a life-long Pepsi Cola drinker would make a likely candidate for CEO of Coca Cola.
Certainly, the middle classes’ level of aversion to inequality is not the only factor in positive attitudes among
them towards urban equity. Fear of externalities caused by a deteriorating quality of life and a deterioration
of the services used by the great majority also plays a role —externalities that can take the form of political
instability, erosion of the legitimacy of institutions, the difficulty encountered by elites in attempting to mobilise
collective support for their projects, and, to an increasing extent, threats to public security.

Social cohesion in Latin America: concepts, frames of reference and Indicators

Table II.2 shows a wide range of dimensions and indicators of service
segmentation. As in the case of workplace segmentation, incorporating this
issue in multidimensional models of social cohesion requires a “short list”
of indicators, for which purpose the following two indicators of educational
segmentation are suggested:
• Difference between the average educational level of young members
of households that are in the income first quintile (or educational
environment) and the average educational level of young people
in households in the bottom two quintiles. This indicator directs
attention to the gaps or differences associated with educational
segmentation.
• Difference between the proportion of the school-age population
in the two lowest quintiles in terms of income (or educational
environment) that attends public educational establishments, and
the corresponding proportion of the upper quintile. This indicator
is a proxy for opportunities for interaction between children from
households of different social strata in educational establishments.
■■

Table II.2

Suggested indicators for measuring the segmentation of urban services
as a variable related to social cohesion
Nature

Determinants

Consequences

• Correlation between household income
level (or educational environment) and
(i) attendance at public/private educational
establishments; (ii) use of public/private
health care facilities; (iii) use of public
transportation versus individual or family
means of transportation; (iv) use of
private security services; (v) attendance
at soccer stadiums; (vi) attendance at pop
concerts; (vii) access to services provided
in hyperspace.

• City size.
• Pace of urbanisation (rates of urbanisation
at different time periods).
• Inequality of household income distribution.
• Sociocultural composition of the city’s
population in terms of ethnicity and length
of time living in the city.
• Social spending on education, health,
public transportation and police, as a
percentage of gross municipal product.

Effect on middle and upper classes in
comparison to effect on lower classes:
• Level of tolerance of inequality.
• Sense of obligation and moral responsibility.
• Perception of risk to physical integrity or
possessions associated with proximity of
lower class.
• Levels of stigmatisation. Perceived degree
of adherence to work ethic. Attribution of
“doubtful morals” (“would take advantage of
me if they could”).
• Attitudes and behaviours reflecting solidarity
with the needy.
• Perceived viability of political parties based
on cross-class alliances.

• Proportion of public-use spaces in cities
(pedestrian walkways, sidewalk width,
streets closed to vehicles, public-access
beaches, parks and plazas, number and
size of collective recreation areas. Quality
and scope of public transportation).

Effects on urban lower classes in comparison
with middle and upper classes:
• Levels of mistrust and resentment.
• Perceived viability of political parties based
on cross-class alliances.
• Strength of perceived barriers preventing
access to quality education, health services
and social security.

Source: Prepared by the author.

55

Chapter II

The spatial dimension of social cohesion in Latin America

D. Residential segregation
1.

The nature of the phenomenon

A city’s level of residential segregation is one of its attributes. Using this
as an analytical category, one can identify spatially segregated ethnic, racial,
religious, socioeconomic and national (international migrant) groups, assessing
the distance between their places of residence and the areas where the rest
of the urban population lives. The variable can also be used to describe the
social structure of a city, making it possible assess the more or less segregated
nature of a city in comparison with others at given times, or in comparison
with itself at different times. In either case, one must explicitly define the
social category, group or class that is the unit of observation.
In general, sensitivity to residential segregation in their cities on the part
of academics and the policy community is a function of the significance that
these people assign to the effects of segregation on the life opportunities
available to groups that are vulnerable to poverty or exclusion, and the
significance that they attribute to the effects of segregation on the social
fabric of the city. In the former case, attention is focused on the spatial
concentration of the poor as it effects their ability to escape poverty, to avoid
falling into worse poverty and to prevent the intergenerational reproduction
of poverty. In the latter case, the dominant factor is an interest in the effects
of residential segregation on the crystallisation of urban inequalities, on the
general atmosphere of sociability and on inhabitants’ readiness to cooperate
and resolve conflicts peacefully.
2.

The nature of the population agglomerations to which the notion
of residential segregation is applied

Various population categories can be used as units of observation to identify
processes of residential segregation. Most large cities have neighbourhoods
where international or domestic immigrants, specific ethnic or racial groups,
religious groups or social classes are over-represented. Since all of these
groups tend to be over-represented in some part of the urban territory, they
are likely to experience some degree of social isolation from other groups.
For various reasons, however, the term “residential segregation” is inadequate
to describe the reality of all these situations.
First of all, most families prefer to live near communities with which
they identify, and where they feel free to engage in their particular forms
of sociability, which may involve shared languages, lifestyles, political
beliefs, religious practices and cultural customs. Secondly, it is common for
56

Social cohesion in Latin America: concepts, frames of reference and Indicators

neighbourhoods where certain groups are over-represented to establish
formal or informal barriers to residents or visitors who do not belong to the
majority group. In the third place, although the territorial concentration of a
uniform sector of the population can cause some isolation in terms of primary
contacts with other sectors, the isolation in most cases is counterbalanced by
factors such as participation in the work world, in social, cultural and political
institutions, in recreation and sports, and in other areas of life. In addition,
it may be mitigated by a perception of free exercise of citizenship and/or
by the conviction of being well represented in the society by leaders of the
same religion, ethnicity or nationality.
On the other hand, the notion of residential segregation may have
negative connotations either because the choice of living place is due not
to preference but to constraints (formal or informal barriers that limit the
physical location of homes and/or the free circulation of certain people),
or because the spatial isolation is not offset by participation in other spheres
that enhance a sense of identity and belonging.
The growing interest in problems of urban residential segregation on the
part of researchers of Latin America’s changing social structures has focused
precisely on these negative features of the phenomenon, and particularly on
the relationship of these features to the nature of the new urban poverty. In
other words, it is in neighbourhoods with concentrations of people whose
ties to the labour market are particularly weak that the perverse aspects of
residential segregation in cities stand out.12
3.

The nature of the perverse aspects of residential segregation

Three conjectures are current regarding the perverse aspects of residential
segregation. The first is that, once established, residential segregation causes
segmentation of essential services for users who live in the territorial proximity
of the establishments that provide the services —a common situation in the case
of education and health services. Thus, even when services are not segmented
by their public- or private-sector nature, they may be highly segmented simply
because of the territorial distribution of socioeconomic classes in the city.
The second conjecture is that the effects of spatial segregation and
segmentation on services work together to entrench poverty, strengthening


12

According to Rodríguez and Arriagada, one of the main perverse effects of segregation is on the assets
of poor families, in that segregation “limits the networks in which poor people participate to the poor,
weakening ties and bridges between classes, and creating neighbourhoods where the possibility of social
mobility through work is regarded with scepticism, a factor that increases the likelihood of behaviours
that impede the accumulation of human capital and erode young people’s capacity to generate work
income” (Rodríguez and Arriagada, 2004, p. 18).

57

Chapter II

The spatial dimension of social cohesion in Latin America

mechanisms of intergenerational reproduction, and to weaken patterns
of harmonious coexistence and generally foster inequality in the urban
environment.
The third conjecture is that the determinants of these processes may
be inherent in the functioning of the new modes of economic growth and
accumulation. If this is so, stable, long-range policies will be needed to stave
off a worrisome scenario with spiralling indices of spatial segregation, along
with the socially undesirable consequences that this would entail.13
4.

Differences between the old residential segregation and the new

As research findings and informed thinking about residential segregation
provided a more solid basis for these conjectures, and refined their
scope, the idea took hold in some of the region’s academic circles that
better understanding of the major social issues of the region’s cities
called for much more attention to the changing social environments of
poor residential settings than these had previously received. 14 Obviously,
however, the spatial segregation of poverty is not a new phenomenon in
Latin America, but has played a central role in the history of many cities.
What, then, makes it worthy of more extensive and detailed examination
today than it was in the past?
At least three important differences are evident in the situations
confronting the old and new urban poor: (i) the increasingly homogeneous
social composition of poor residential neighbourhoods; (ii)  significant
changes in the frames of reference by which the poor perceive their own
situation; (iii)  changes in the behaviour of middle- and upper-income
sectors, leading, as noted above, to the abandonment of public spaces, but
also to changes in patterns of residential segregation. We now turn to each
of these trends in more detail.15



13



14



15

58

The increasing income inequalities that accompany globalisation do not automatically translate into
growing spatial segregation, because in addition to cultural and topographical factors, the State and
other major social actors (unions, political parties, NGOs, cooperatives, real estate agents, and others)
play important roles in the spatial distribution of the population within the city.
Over the last decade, many studies have been published in Latin America on residential segregation trends
in large cities, as well as on the effects of the social composition of neighbourhoods, census divisions,
cities and municipalities on residents’ opportunities to assure their own welfare and on the effects of
these factors on risk behaviours.
For a review of research on the nature of the new urban poverty, see Tironi (2003), Kessler and Di Virgilio
(2008), and Wormald, Cereceda and Ugalde (2002), among others.

Social cohesion in Latin America: concepts, frames of reference and Indicators

(a) The increasingly homogeneous social composition of poor residential
neighbourhoods

 This trend is difficult to discern if observers fail to adjust their focus
to the changing geographical scale of urban fragmentation.16 Once the
adjustment has been made, what becomes evident is growing disparities
between the patterns of assets prevalent in different neighbourhoods. This is
the result of two main trends. First, the socioeconomic composition of lowerclass neighbourhoods is becoming more homogeneous as this population’s
occupational skills are devalued in the new economic environment. The
homogeneity is intensified as families with opportunities for upward mobility
leave and households driven from central urban areas by high costs enter
an area.17 Meanwhile, as the territorial concentration of the poor increases,
middle- and upper-class households move to gated communities or other
exclusive neighbourhoods. All of these changes increase the homogeneity
of each neighbourhood, and in so doing contribute to the fragmentation of
the city’s social fabric.
(b)  Significant changes in the frames of reference by which the poor
perceive their own situation

 The second new feature of today’s residential segregation has to do with
the urban poor’s prospects of social integration. In the middle of the last
century, a major proportion of the urban poor were migrants from rural
areas, and many settled in the urban periphery in slums known variously as
favelas, callampas, cantegriles, villas miseria, or other such terms. The economic
scenario in which these migrations took place was dominated by import
substitution, which drove industrialisation, and State-provided services were
on the increase. Urban immigrants encountered work and opportunities for
consumption associated with the expanding domestic market, as well as access
to social services and housing through the State, that were far beyond what
had been available to them in their rural places of origin. The circumstances
fostered a climate of hope, and the pace of progress that these city dwellers
were experiencing amply justified their expectations of upward mobility.18


16



17



18

This is because there are ongoing changes in the scale at which aggregations of socially homogeneous
populations develop, due to the activity of real estate agents, the residential strategies of the poor
themselves and residential strategies in other sectors.
This “skimming” of poor neighbourhoods may be exacerbated by a vicious circle, or feedback loop, in
which the increasing territorial concentration of households with unmet basic needs leads to the presence
of more disruptive behaviours, which in turn impels more families to leave the neighbourhood if they can.
The pace of urban growth in some Latin American cities in the mid-twentieth century was unprecedented, and
migratory movements accounted for a great deal of this. According to Latttes (1995), rural migration accounted
for 45.2% of urban growth in Latin America in the 1950s, and according to the United Nations (1981) migration
was responsible for an estimated 39% of urban growth in the 1950s and 35% in the 1960s.

59

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Data from the 1980s on suggest a quite different picture. Economic
changes made it more difficult for unskilled workers to maintain stable ties
with the labour market and to enjoy the social protections that had been
associated with work. This gradually eroded their hopes of achieving better
living conditions through their own efforts. Economic conditions led to
the displacement of some groups from central urban areas where formal
housing arrangements prevailed to peripheral areas where major portions
of the population were often housed in irregular settlements. All of this
occurred against a backdrop of shrinking possibilities for upward mobility and
growing threats of social exclusion —a starkly different situation from that
encountered by the poor who migrated to the cities around mid-century.
While job uncertainty increased for low-skills workers, the mechanisms
that had fed their expectations of growing material and symbolic participation
in their societies remained active —a disparity that increased their frustration.
The following are a few of the many processes that fed, and continue to feed,
that frustration:
• As urban immigrants from rural areas assimilated, their places of
origin began losing meaning as frames of reference by which to
assess their current conditions. The old frames of reference were
gradually supplanted by the models that dominated the new urban
context, exacerbating a sense of relative deprivation.
• The educational levels of the urban poor continued to rise, but at a
pace that did not compensate for the devaluation of their educational
attainments in the new globalised markets. As a result, their aspirations
grew without a corresponding improvement in their welfare.
• The mass media multiplied, penetrating households of very
different economic capacities to an equal degree, and disseminating
models of consumption that were beyond the means of
disadvantaged groups.
• The consolidation of electoral democracy and the growing place
that social rights assumed in the political discourse contributed to
growing expectations of citizen participation —which remained,
however, unsatisfied.
• During the import substitution period, the working class’s
expectations in some cities were fostered by unions that promoted
an awareness that collective action could improve workers’ power
and relative income. Increasing informality, and the tertiarisation of
low-skills workers, led, among other things, to a relative decline in
union membership. This in turn meant fewer opportunities to make
demands through collective action.
60

Social cohesion in Latin America: concepts, frames of reference and Indicators

For today’s urban poor, these factors constitute a situation that is
substantially different from that facing the urban poor of the mid-twentieth
century. For today’s poor, the gap between goals and fulfilment is greater
than it was for their predecessors, and it is increasingly difficult for them to
develop viable ways of autonomously improving their living conditions. It is
the spatial concentration of people facing these problems that generates the
perverse features of residential segregation in today’s urban environment.
(c)  The emergence of gated middle-class communities in proximity to
poor communities

 Driven by more mature and concentrated real estate capital that swept
away the “factors that limited private projects for isolated elites to highrent enclaves”, gated communities are being created in parts of the city
traditionally occupied by working class sectors. Thus, some of the region’s
cities are experiencing a transformation of their traditional patterns of urban
segregation (Sabatini and Cáceres, 2004).
This phenomenon raises serious doubts about hypotheses to the effect
that household income distribution trends are ultimately reflected in the
physical distances separating different types of residential neighbourhoods.
It also raises again the issue of the advantages and disadvantages for the poor
of being physically close to other populations when circulation between the
two environments is impeded by physical obstacles (walls and fences) or by
security forces monitoring entrances.19
According to some analysts, the presence of gated communities in the
midst of working-class areas only represents a change in the scale of residential
segregation, without affecting its negative character. Others maintain that
such locations do represent a change, and one for the worse, while yet others
see more benefits than drawbacks in the new trends —both for the poor
in whose neighbourhoods the gated developments are located, and for the
social fabric of the city, in that patterns of coexistence are improved. Despite
their differences, these divergent views share the virtue of casting light on
the social consequences of an unanticipated aspect of the logic of the real
estate market as it has played out in practice.
Various questions emerge from the debate about how those “further down
the ladder” are affected by increased physical proximity with gated middleclass communities. Do opportunities for interaction across class boundaries
increase or diminish? Do perceived social differences increase or decrease?


19

It could be argued that this situation is not terribly different from that seen in a majority of apartment
buildings, where doormen or systems of a mechanical or electronic nature monitor those entering.
However, unlike interior spaces, streets are traditionally perceived as public areas freely open to all.

61

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What mindsets are created: resentment, envy, aggressiveness and a sense of
impotence, or satisfaction with new job opportunities, a rise in neighbourhood
status with a concomitantly enhanced self-image, improved infrastructure
(electricity, pavement, and the like), and more opportunities for access to public
and private services that are attracted by the presence of the middle classes? In
general, does the presence of gated communities in working-class parts of the
city contribute to the social integration of the poor or not? Does it or does it
not contribute to the health of the city’s social fabric?
Certainly, the relative importance of the new features of spatial
segregation —its intensification, its changing significance for the poor and
the recent emergence of new scales of spatial segregation— vary from city
to city, probably reflecting differences in the cities’ paths of growth, their
history of spatial segregation by class and ethnic group, and the contents of
the sociocultural matrices that shape the way in which those who have more
and those who have less share the urban space.
5.

Indicators of residential segregation

The specialised literature includes many indices for measuring residential
segregation, each stressing different aspects of the phenomenon.20 Below,
we review the features of the most commonly used ones.
•

The Duncan dissimilarity index. This index measures the uniformity
with which groups are distributed in a territory. Values close to 0
mean that the distribution of a population with a given attribute in the
subunits is similar to the mean value of that attribute in the higherlevel agglomeration. Values approaching 100 represent situations of
maximum segregation in which subunits have no mixture of populations
with different values of the attribute being examined. The value of the
index represents the percentage of the population that would have to
be relocated to achieve equal distribution of the different groups over
the city’s geographical units. Duncan’s index is a synthetic indicator
of the relationship between the composition (social, labour-related,
racial, or other) of territorial subunits and the social composition of
the higher-level territorial unit (city or urban agglomerate). When these
two levels differ in their composition, residential segregation is present,
since the distribution of social groups among the territorial subunits



In the methodological debate on the virtues and limitations of the best-known indices of residential
segregation as applied to Latin America’s cities, the work of Francisco Sabatini (1999, 2004) and Jorge
Rodríguez (2001) stands out. These authors have published critical reviews of these indices as they apply
to Latin American urban research, and both offer extensive arguments supporting their preferences for
certain indices.

20

62

Social cohesion in Latin America: concepts, frames of reference and Indicators

does not correspond to the groups’ representation in the city or other
higher-level unit as a whole. The value of the index ranges from 0 (no
segregation) to 100 (total segregation —that is, no mixed composition
in any subunit).21
•

Variance analysis. This is another measure of the uniformity with
which different population groups are distributed throughout a territory.
The total variance of the variable examined is broken down into two
components: an intra-neighbourhood one and an inter-neighbourhood
one. When the variance between subunits explains a major portion of
the total variance, there is more homogeneity within the units, and more
heterogeneity between units.22

•

The index of interaction (or isolation) measures the extent to which the
members of group X are exposed to members of group Y in different
territorial subunits. A value of 0.2, for example, means that, on average, in
a unit that includes a member of group X two members out of ten belong
to group Y. Hence, situations of acute segregation generate small values
(Martori and Hobert, 2004). While the dissimilarity index is relatively
independent of the size of the group being considered, the index of
exposure is not, because the greater the size of the group as a proportion
of the entire city population, the fewer will be its members’ opportunities
for interaction with other groups, and the lower their probability of
sharing a neighbourhood with other groups. At the opposite extreme,
if a group is very small, the probability of its interacting with members
of other groups will be greater —a fact that will not necessarily affect
the index of dissimilarity.

•

The Moran index. This measures the proximity of territorial units
that have similar populations. In other words, it indicates whether the
distribution of data in the space shows autocorrelation, and thus a nonrandom pattern. In other words, the index tells whether or not the values
of the variable being studied in a territorial unit are similar to the values
of the same variable in adjacent units. A positive correlation indicates



21





22

The index is determined by the following equation:
N1i N2i
1
–
D=
N1 N2
2
where N1i = the population of group 1 in the low-level territorial subdivision, N2i = the population of group 2
in the low-level territorial subdivision, N1 = the total population of group 1 in the higher-level agglomeration
and N2 = the total population of group 2 in the higher-level agglomeration.
The residential segregation index shows the proportion of the total variance that is explained by the
variance between territorial subunits.
s2
n
* 100
s2
2
where σ n = the variance between n territorial subunits and σ2 = total variance.
ISR =



63

Chapter II

The spatial dimension of social cohesion in Latin America

the presence of spatially contiguous units with similar values, while a
negative correlation indicates that high values in one subunit correspond
to low values in a neighbouring subunit (or vice versa). When the index
approaches 0, there is no spatial correlation, and hence the distribution
of the value’s variable in the units is random. It is important to remember
that the Moran index describes a city as a whole, and thus facilitates
comparison with other cities, or of a single city at different times.
•

The LISA index.23 The LISA index makes it possible to decompose
larger-scale indicators such as the Moran index. It is particularly useful
when the assumption of internal homogeneity within each of the
spatial units in the Moran index does not hold. Strictly speaking, the
LISA coefficient is equivalent to the Moran index for each of the spatial
subunits. This makes it possible to assess the statistical significance of
the correlations between neighbouring subunits in local groupings. As
both indices are coefficients of spatial self-correlation, they imply the
notion of adjacent units (Anselin, L., 1995).

Without entering into more detail about these measures of segregation,
let us simply say that the capacity of each should basically be considered in
terms of two criteria: its adequacy in the context of the characteristics of
the social categories whose spatial segregation one wishes to capture, and
—closely related to this— its adequacy for the analytical purposes of the
research being conducted. For example, if one wishes to test the hypothesis
that certain ethnic minorities have a greater or lesser propensity than others
to territorial agglomeration, variance analysis will be of interest, or it will be
useful to apply the index of dissimilarity to the distribution of each of the
minorities in the urban territory. If, on the other hand, the objective is to
determine whether the poor are more or less isolated from the rest of the
population than in the past, it will be more useful to make an intertemporal
comparison of indices of exposure, highlighting the potential opportunities
for interaction between the two groups or population categories at the
different times in question. Depending on the significance that the researcher
attributes to the geographical scale at which the isolation is detected, it may also
be possible to use clustering or spatial contiguity indices, which reveal changes
in the size of an socioeconomically or ethnically homogeneous area.
Looking beyond these indices, it is —as the discussion in the foregoing
sections demonstrates— desirable to have simpler indicators directly related to
territorial isolation at the poles of the pyramid of a city’s social stratification.
One such indicator is the size of the population living in precarious settlements
as a proportion of the entire poor population and as a proportion of the


23

64

Local indicator of spatial association.

Social cohesion in Latin America: concepts, frames of reference and Indicators

city’s overall population. Another is the size of the population living in gated
communities as a proportion of the middle class and as a proportion of the
city’s overall population (distinguishing the cases where these neighbourhoods
are contiguous with poor neighbourhoods).
6.

Geographical scale

One of the common problems confronting research on residential segregation
is how to determine what territorial scale is most appropriate for studying
the type of behaviour that one is attempting to explain. Jorge Rodríguez
(2001, p. 15) emphasises that a researcher must “explicitly define the attribute
differentiating spatially separated groups, and segregation must be defined in
terms of a given scale of analysis”.
Again, it is futile to weigh the adequacy of different scales if the purpose
of the research is unclear. To understand what this means, it will suffice to
reflect on how the nature and boundaries of the spaces in which significant
things happen change as people move from one stage to another of the
lifecycle and/or shift their activity from one sphere to another.
Generally speaking, it is reasonable to assume that the degree to which
people are sensitive to what occurs in their residential environment is related
to the importance that they attribute to that environment as a source of
assets —social capital in particular. Thus, one would expect workers with
stable integration in the labour market and/or a high level of participation in
organisations such as unions, churches, political parties and sports groups to
respond more to behavioural expectations arising in those contexts than to
those presenting themselves in their neighbourhoods. At the other extreme,
people with unstable integration in the labour market and little or no institutional
participation will be more sensitive to influences in the area where they live.
In some cases, however, the gravity of local problems affecting the entire
neighbourhood make collective sensitivity to the immediate environment
almost inevitable. A residential neighbourhood located in a flood zone, for
example, faces the threat of a type of disaster that affects all residents. Such
situations foster the emergence of relationships around the problems that
affect all. The same can be said of neighbourhoods that are deficient in
infrastructure, general services or local job opportunities, that are unsafe, or
that have transportation problems. A sense of territorial limits shared with
neighbours can also be imposed from outside —for example, when employers
avoid hiring people who live in stigmatized neighbourhoods.
Finally, it should be noted that all the indices mentioned in section 5 are
likely to assume different values according to the geographical scale that is used
65

Chapter II

The spatial dimension of social cohesion in Latin America

to define the area considered significant for the residents.24 As a general rule
—by way of summary— a researcher must formulate an operational definition
of relevant geographical scale, considering the advantages and drawbacks of
different boundaries as a function of the features of the available data and
the analytical purposes of the proposed study.25
7.

Principal determinants of residential segregation by socioeconomic
grouping, and possible indicators

Levels of residential segregation reflect patterns of determinants, each of
which assumes different values and weights in different cities.
Various types of factors are at work here: historical (for example, the
inertia of the traditional patterns by which social classes are distributed in
cities); cultural (for example, the relatively hierarchical or egalitarian nature of
relations between those in the upper social strata and those in the lower, the
importance that the middle and upper classes assign to spatial patterns as a
social symbol, or the zeal with which they preserve the frontiers of their social
world); topographical (for example, a city’s general flatness or hilliness); social
(for example, the importance of processes of upward or downward mobility
in a city); demographic (for example, differences in fertility rates between
classes, migratory flows and levels of skills among rural-urban and inter-urban
migrants); economic (for example, trends in average urban land prices and
their dispersion, changes in a city’s productive structure and labour market,
and the degree of inequality of household income distribution); political (for
example, the existence of rent subsidies and public guarantees for housing
purchase or sale, the relative role of social housing in housing solutions for
the urban working class, the level of political and administrative tolerance of
squatting and the presence of precarious forms of land tenancy).
Forms and levels of residential segregation are heavily determined by
their historical inertia in the city, which is related to the type of trajectories
conventionally designated as highly path-dependent.
24





25

66

Gated middle-class neighbourhoods built near poor neighbourhoods are one of the social phenomena
that most clearly show the importance of taking geographical scale into account in studying residential
segregation.
The most important sources of available information are government censuses and household surveys. Given
the limitations of these sources, it is often questionable how far theoretical and methodological discussion
of the advantages and drawbacks of different scales of geographical aggregation can be pursued before
it loses all relevance to the available empirical data. In general, census information has the advantage
of making it possible to compare the characteristics of population units at very low scales of territorial
aggregation, and the disadvantage of being too limited in thematic scope to provide means of testing
many of the hypotheses regarding residential segregation that appear in the literature today. For the latter
purpose, some of the region’s national household surveys have the advantage of being more frequent and
therefore providing information that is more current, as well as covering more subjects and thus providing
more analytical ammunition. However, their sample size makes it difficult to identify characteristics at the
level of territorial disaggregation required for this purpose without losing statistical representativeness.

Social cohesion in Latin America: concepts, frames of reference and Indicators

8.

Effects of residential segregation on social cohesion in cities, and
possible indicators

In a dialectical relationship where the elements of the system function
alternatively as causes and as effects, spatial segregation and physical isolation
between the classes are obstacles to the creation and functioning of the
mechanisms on which social cohesion in cities is built.
In fact, the frequency and quality of contacts between members of
different classes are correlated with with people’s inclination to work together
and their exposure to opportunities for constructing ways of negotiating
conflicts. On the other hand, physical isolation increases the likelihood that
each class will develop imaginary profiles of the others quite independent of
the intrinsic virtues of those being imagined. The greater and more abiding
the isolation between the classes is, the more rigid the mutual stereotypes will
become, and the more difficult it will be to change them.
Since the attitudes and motivations behind these dispositions vary from
class to class, the following discussion treats them separately for the different
socioeconomic groups.
(a)  Middle-class residential segregation and behaviours that affect social
cohesion

 Physical isolation fosters the development of mindsets that affect the
contribution that the middle classes can make to the health of the city’s social
fabric —in particular, thresholds of tolerance of inequality and poverty,
feelings of moral obligation towards others, and fear of the proximity of
working-class sectors.
The notion of tolerance of inequality helps to understand the stability of
some indicators of social inequality.26 There are profound mental structures
that predispose people to act in a way that activates homeostatic mechanisms
when indicators of inequality and/or poverty exceed certain levels.27 These
homeostatic behaviours may range from electoral support for initiatives that
protect the weakest and preserve the quality of universally available services,



26



27

One study comparing income distribution data between countries and over time finds income inequality
relatively stable on both counts, in marked contrast with the behaviour of GDP growth rates, which change
rapidly (Liu, Squire and Zou, 1995).
Homeostatic mechanisms are self-regulatory mechanisms that tend to keep an organism’s internal
conditions and composition relatively constant.

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The spatial dimension of social cohesion in Latin America

to acceptance of higher taxes for redistributive purposes.28 29 The aversion to
inequality can also activate mechanisms of self-control in the middle classes
with respect to consumption, particularly consumption of highly visible
products or services that can create resentment among the less well-off.30
Aversion to inequality and feelings of moral obligation in the middle
class vis-à-vis those who have less are essentially based on empathy —the
ability to put oneself in the place of the other. Residential segregation impedes
the generation and reproduction of this ability, which depends on frequent
informal contact between individuals of different socioeconomic strata.
Another feeling that functions as an important cause and consequence
of distance between the middle classes and working classes is fear of contact.
Physical isolation seems to generate fear of contact in two ways. First, it
makes mutual familiarity unlikely. Second, it encourages the emergence of
behaviours in the lower classes that are disruptive of social order, and which
the middle classes consider threatening.
The central phenomenon in the factor of mutual unfamiliarity is the
middle classes’ difficulty in understanding the codes of communication that
lower-class sectors develop in their territorial isolation. The consequent
constraints on communication produce insecurities and mistrust, which in
turn accentuate the threatening qualities of the unfamiliar other, intensifying
sensations of menace and fear.
The important factor in regard to disruptive behaviours is the middle
classes’ shrinking from proximity to anomic behaviours (drug dependence,
violence, crime and marginality), which tend to emerge as disruptive correlates
of concentrated and segregated poverty.
In short, isolation feeds fear, and fear feeds isolation, in a spiral that no
doubt contributes to the current tendency of the middle classes to distance
themselves from lower-class areas, to live in socially homogeneous areas and/
or to take measures to protect their places of residence.



28



29



30

68

As Barry points out, acceptance of high taxes not only makes it possible to raise the quality of public
services, but reduces the money available to higher-income groups for private services. This inhibits the
abandonment of public spaces (Barry, 1998, p. 23).
The contribution of the middle and upper classes to maintaining the public spaces that make cross-class
interaction possible is certainly not based alone on their aversion to inequality. It is also driven by fears of
the externalities that tend to accompany worsening majority conditions —externalities that may include
political instability, erosion of the legitimacy of institutions and consequent difficulty for elites in mobilising
collective will for projects of change, and, increasingly, public insecurity affecting the quality of life.
Small and very culturally homogeneous countries create realms of closeness that tend to inhibit the
differentiation of the elites, since the community is more able to sanction those who move too far from
majority habits and lifestyles.

Social cohesion in Latin America: concepts, frames of reference and Indicators

(b)  Residential segregation and urban working class behaviours that
affect social cohesion

 For urban working class sectors, geographical isolation can in various
ways reduce the inclination to cooperate and to negotiate peaceful resolutions
of conflicts with other classes. The factors involved include a scarcity of
opportunities to learn the codes of communication employed by members
of other classes, resentments associated with frustrated expectations of
material and symbolic participation in society, and obstacles to effective
collective action.
The first two of these factors have been discussed above. The
third —obstacles to effective collective action— is a central variable for
understanding how segregated working classes can contribute to the
construction of patterns of coexistence in contexts of inequality, and to
the establishment of rules for peaceful conflict resolution. Thus, it is worth
examining how neighbourhoods can function as an important source of
identity and socially integrating ties.
(c)  The territory as a source of identity, and as a source of ties that
encourage social integration

 One thing that stands out in many instances of successful construction
of patterns of urban coexistence under conditions of inequality is the
development of collective actors who represent and articulate the interests
of major working-class sectors —unions most notably. Today, daily work
experience often does not function as an effective channel for social
integration for less skilled workers. This forces them to seek alternative
contexts in which to construct their identities, integrate with their community
and have experiences in which they can exercise their rights as citizens.
Although, for those who have lost (or never had) regular opportunities
for sociability and interaction in the workplace, a place of residence can be
one of the few alternative areas to construct identity and a sense of belonging
to a community, some conditions seem to be necessary for this.
The first has to do with whether residence in a neighbourhood is
voluntary or involuntary. There are arguments for the notion that the poor
choose to live among their socioeconomic peers. First, in cities with marked
class differences, it is understandable that the lower-income population
should prefer to live where their habits and customs do not expose them to
stigmatisation or contempt, and where they feel free to express themselves
spontaneously and show themselves ingenious, attractive and entertaining to
their peers (Charlesworth, 2000). Another argument specifically relates to poor
populations of shared ethnic, racial or regional/national origin, suggesting
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Chapter II

The spatial dimension of social cohesion in Latin America

that such groups prefer to live with their fellows for the easy contact that this
provides with a community that shares cultural traditions and lifestyles, and, in
many cases, for the opportunity to join networks that provide social capital and
thereby facilitate integration in the labour market. A third argument stresses
a desire to live close to workplaces and fellow workers. This attitude seems
to have arisen in the context of industrial experience and the composition
of working-class neighbourhoods.
The second condition required for poor neighbourhoods to become
sources of identity and a sense of belonging is that residents of an area in fact
have a desire to construct social capital with their neighbours, as well as the
resources to do so. Social capital usually resides in reciprocal networks whose
members behave according to norms defining rights and obligations. There
are many examples of local organisations emerging in neighbourhoods with
highly homogeneous poverty to solve specific problems affecting a majority
of residents, which then become social networks facilitating the articulation
of new collective goals, and mobilisation to achieve them.
A challenge to these arguments is that the resources that people need
to select a place of residence, or to contribute to maintaining networks of
reciprocity, are precisely those dependent on stable ties with the work world.
People who experience recurrent unemployment, or who have only informal
employment, have little freedom to choose among residential alternatives, or
to build and maintain networks of reciprocity.
In short, the very features of the new urban poverty make it difficult for
some of the positive factors that promote feelings of identity and belonging
to emerge in the neighbourhoods where this poverty is concentrated, for,
paradoxically, the ties that residents have with the work world are one of
the elements that determine whether local community life can function as a
platform for such positive developments.31 This is why de-industrialisation
leads to the decay of communal institutions in urban working class
neighbourhoods, rather than revitalising them.
Table II.3 shows a wide range of dimensions and indicators of residential
segregation. As in the cases cited above, incorporating this problem in
multidimensional models to explain social cohesion requires a “short list”
of indicators. We suggest the following two:
• Variance analysis. This makes it possible to compare differences
between variations of social composition within and between a city’s
units of territorial aggregation. Levels of residential segregation are


31

70

One dynamic that is activated in these contexts is excellently illustrated in the Argentine film. Avellaneda
was formerly a heavily industrialised Buenos Aires neighbourhood. The film depicts the relationship
between the area’s de-industrialisation and the collapse of a neighbourhood club.

Social cohesion in Latin America: concepts, frames of reference and Indicators

directly proportional to the social homogeneity within neighbourhoods
(or other geographical units, such as municipalities, census divisions,
and so on) and the heterogeneity between neighbourhoods (or other
such units).
• Clustering indices (LISA and Moran). These add to the above
information on the geographical scope of residential segregation.
■■

Table II.3

Suggested indicators of residential segregation as a variable related to urban social cohesion
Nature
Dimensions of the territorial distribution of a
population group:
• Dissimilarity index (Duncan index);
• Exposure index;
• Variance analysis;
• Index of concentration;
• Clustering indices (Moran, LISA).
• Population living in precarious settlements
as a percentage of all poor and as a
percentage of the entire population.
• Application of segregation indices to
the territorial distribution of precarious
settlements.
• Middle class in gated communities as
a percentage of the whole middle class
population and as a percentage of total city
population.
• Application of segregation indices to the
territorial distribution of gated communities.

Determinants

Consequences

Historical indicators of how long a city’s
residential segregation has been an
established reality.
• Qualitative indicators of the relative
importance of hierarchies and inequalities
in interaction between people of unequal
socioeconomic status.
• Indicators of the symbolic social meaning
that place of residence has for the middle
and upper classes.
• Indicators of the zeal with which the middle
and upper classes preserve the boundaries
of their social life (income requirements for
membership in certain clubs).
• Topographic indicators of urban geography.
• Social mobility indices —general trends.
• Fertility rate differences between classes.
• Pace of urban growth.
• Contribution of migratory movements to
urban growth.
• Immigrants’ average skill levels.
• Changing land prices —average and
dispersion.
• Sectoral composition of workforce.
• Level of household income inequality.
• Indicators of the quality of subsidies and
guarantees for housing rental/purchase.
• Indicators of social housing as a proportion
of all housing solutions for the poor.
• Indicators of levels of political and
administrative tolerance of squatting and
other precarious land tenancy.

• Correlation between urban residential
segregation and labour-market
segmentation.
• Correlation between urban residential
segregation and educational segmentation.
• Opinions regarding degree of understanding
of other classes’ codes of communication.
• Degrees to which members of other classes
are trusted.
• Levels of tolerance of inequality and poverty
among middle- and upper-class sectors.
• Feelings of moral responsibility towards
those “beneath oneself” among middle and
upper class sectors.
• Fear between and within classes.
• Stereotypes of other classes (all people,
most, some, few). Stigmas.
• Relative weight of behaviours disruptive of
social order in the different classes (drug
dependency, crime, marginality).
• Indicators of the effectiveness of social
norms in working-class neighbourhoods
(graffiti) sidewalk trash containers, public
and/or private equipment broken or in poor
condition, relations between adults and
young people, control of the streets).
• Level of malaise in working classes.
Indicators of anomie.

Source: Prepared by the author.

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The spatial dimension of social cohesion in Latin America

E. Concluding observations

Ascertaining the relationships between urban segmentation (levels and types)
and inhabitants’ inclination to participate actively in creating patterns of
peaceful collaboration and negotiated conflict resolution is a highly complex
challenge. One reason for this is that the concepts of segmentation and social
cohesion are still immature. In other words, these phenomena have not yet
been clearly defined in terms of unique causes and consequences. Another
reason is that it is difficult to identify and corroborate hypothetical microsocial
mechanisms connecting the two phenomena.
This conceptual ambiguity is reflected in the fact that it is difficult to
develop good instruments to measure the phenomena —and using poor
instruments, of course, only adds to the conceptual confusion. Strictly
speaking, the social sciences appear to be entangled in the complexities that
attend efforts to analyse the current transformations of urban social structures
in various dimensions. The best strategy in these cases seems to be attempting
to sketch a general picture of the jigsaw puzzle, so to speak, using working
hypotheses regarding causal relationships between elements. In a recent article,
De Hoyos and Lustig (2009) address similar problems in constructing

a model with variables for different levels and spheres of action that
efficiently explains changes in inequality, income distribution and poverty.
“In practice”, the authors say, “such a model does not exist and perhaps
never will. Therefore, full knowledge of a subject —as opposed to simply
answering increasingly specific questions about it— becomes a jigsaw
puzzle complicated by the absence of pieces, and by the fact that the
available pieces do not all come from the same source or fit together
properly. Continuing with the metaphor, we must ask what pieces are
available, and which are least explored by current research”.
At the risk of grossly simplifying these phenomena, I would
venture to share an impression that the historically unprecedented state
of opportunities for developing harmonious modes of coexistence in
contexts of inequality arises from the convergence of three trends.
Each may have been present at some time in urban history, but it is their
convergence that makes for a scenario offering significantly different
opportunities to construct stable patterns of urban coexistence.
1.

The abandonment of public services by the middle classes

The health of cities’ social fabrics and the functioning of their mechanisms
of social solidarity tend to work against a society’s “elite” isolating itself. Of
course, elites have always resorted to private services. However, ruptures in
72

Social cohesion in Latin America: concepts, frames of reference and Indicators

the social fabric quickly become visible when a major portion of the middle
class abandons public services.
2.

The weakness of the lower socioeconomic strata’s ties with the
labour market, and the concentration of these strata in certain
neighbourhoods

The spatial concentration of households that suffer from serious material
deprivation and have little hope of advancing significantly through work
fosters the emergence of the most disruptive elements of poverty. Those who
have the means to leave these neighbourhoods will, and therefore interaction
becomes increasingly limited to residents whose skills, habits and lifestyles are
more associated with failure than with success, and whose networks are poor
sources of contacts or information for obtaining jobs or training. The very
instability of jobs and incomes makes it difficult to create and maintain local
institutions that can provide certain fundamental informal controls. Children
and young people lack exposure to and contact with role models —people
who move effectively in their city’s main social and economic circles.
3.

The urban working class’s growing expectation of enjoying their
full rights as citizens

An explosive feature of today’s situation is that while labour market ties are
weakening, services segmenting and spatial segregation increasing, the sources
of social aspirations and the factors reproducing them remain operative. The
coverage of education and the penetration of the mass media increase, while
globalisation and the consolidation of electoral democracy continually swell
the numbers of people exposed to discourses that create expectations of
full access to social rights. However, experience daily gives the lie to the idea
that these rights can be effectively exercised. All of this makes the areas in
which the new urban poverty is concentrated quintessential foci of anomie,
the presence of which contributes heavily to eroding the quality of social
relationships in the cities.

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Social cohesion in Latin America: concepts, frames of reference and Indicators

Chapter III

Institutions, welfare and social cohesion:
indicators of their functionality
Rodrigo Arim
Andrea Vigorito

A. Introduction

One ongoing concern of the Economic Commission for Latin America and
the Caribbean (ECLAC) has been to forge a view of development that goes
beyond economic growth and is based on the guiding principles of equity
and social integration. Despite recent efforts and progress, the region has not
succeeded in putting itself firmly on a path of sustained growth with equity.
Fajnzylber (1992) described this difficulty as the problem of the “empty box”
in Latin America. It is a central challenge, rendering it essential to systematically
make the problem of inequality and its relationship with the characteristics
of social and productive structures a focal point of development strategy.
Beyond the normative discussion that arises around this issue, the
economic literature since the 1990s has begun to focus on inequality and, more
broadly, on social cohesion, as factors that shape growth. Societies with high
levels of inequality tend to suffer from chronic conflict, and large segments
of their populations have but a limited ability to invest in human capital. Thus,
high levels of inequality in themselves are an obstacle to development.
From a broader perspective, ECLAC has been developing a research
programme that aims to incorporate social cohesion in the development
agenda. This flows from a recognition that social cohesion depends on
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Institutions, welfare and social cohesion: indicators of their functionality

the cooperation and communication that make it possible to create social
spaces for interaction —spaces that, in turn, are necessary to processes of
development. The sheer presence of high levels of inequality undermines the
material basis of such social interaction, but the functioning of institutions
also plays a role.
Despite all of this, the concept of social cohesion is far from enjoying
consensus in academic and policy circles. ECLAC (2007) approaches social
cohesion as the dialectical interaction of mechanisms of social inclusion and
exclusion and citizens’ perceptions of and responses to the way in which such
mechanisms operate. This approach facilitates analytical connections between
elements that have usually been considered in isolation, such as equity (in a
broad sense), political legitimacy, values of solidarity and cooperation, social
policy and institutional environments. It views the relationship between
these elements as essentially dialectical and systemic, and does not recognise
unidirectional relations of causality. Rather, it posits that such configurations
can be understood only from an integral, interconnected point of view.
Incorporating social cohesion in a systemic conception of development
requires creating systems of indicators with which to monitor comparative
progress in social cohesion. In principle, the system must specify minimum
standards for spheres that are essential in assuring basic social functionings.
Since social cohesion presupposes certain standards of societal performance,
the system of indicators must be able to identify patterns of discrimination
and exclusion. Finally, it must throw light on the role of public policy in
supporting welfare and social cohesion.
In the spirit of the Laeken indicators constructed by the European
Union, and as a step towards defining a system of indicators that is coherent
and can support comparative assessments of cohesion in the region, ECLAC
(2007) has proposed a preliminary set of interconnected indicators to monitor
social cohesion. This chapter is a part of that process. Specifically, it aims
to provide support for designing a subset of indicators that capture the
institutional component of social cohesion.
In a broad sense, access to welfare depends on the relationships among
the social institutions that facilitate access to the various components that
ensure the quality of life. The literature recognises households, markets
and the State in particular as central institutions for access to welfare. The
connectedness and complementarity of these institutions constitute a central
determinant of welfare and social cohesion. Where public policy is concerned,
the indicators must reveal the ways in which the State affects this institutional
configuration. Their capacity to describe welfare regimes is relevant in that
these regimes influence social cohesion.
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Social cohesion in Latin America: concepts, frames of reference and Indicators

The present work proposes a tentative set of indicators to monitor the
degree of articulation between the different institutional spheres involved in
providing social welfare. We therefore begin (section B, below) with a brief
discussion of the institutional mechanisms involved in providing welfare
and the connections between them. Section C discusses the relationships
between welfare regimes and social cohesion as construed in the analytical
framework proposed by ECLAC. The discussion then turns (section D) to
the difficulties involved in isolating the specific roles of the institutional
spheres and describing how they interact to provide social welfare and support
social cohesion. The chapter concludes with a presentation of the proposed
indicators (section E).

B. Institutions and social welfare

Barr (1998) identifies five possible forms of welfare provision: (i) the market;
(ii)  occupational welfare; (iii)  voluntary provision through non-market
networks and forms of exchange; (iv) types of private provision that even out
income over the life cycle to allow for contingencies; (v) policies of monetary
or in-kind transfers of goods and services.
The principal source of welfare in modern economies is the resources that
citizens obtain in the market —principally the labour market. The functioning
of markets determines people’s ability to find work and obtain the income
needed to achieve ends that are of value to them and their surroundings.
Some households also draw on resources from other markets, depending on
their particular physical and financial assets. The process of price formation
in turn shapes people’s ability to acquire private goods and services. The
importance of the market as a source of welfare in modern economies can
hardly be overestimated. The overall functioning of the economy and market
dynamics are a first-order determinant of quality of life.
However, the importance of the work sphere cannot be reduced
to its role as a source of income. Many businesses provide benefits that
affect employees’ present or future welfare (childcare systems, health care
programmes, supplementary pension programmes, and so on), in some cases
voluntarily, in others because legal frameworks so mandate. The importance of
these forms of occupational welfare varies markedly between societies, although
they are clearly more extensive in the developed countries.
Thirdly, much welfare derives from community relationships or solidarity
(voluntary provision). Families are a typical mechanism for the provision of
welfare, distributing resources of different types and assigning roles that
affect the relative welfare of their members. Intergenerational transfers
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Institutions, welfare and social cohesion: indicators of their functionality

within families, in particular, affect the quality of life at different stages of
the lifecycle. However, voluntary provision goes beyond family relationships
to other relationships of solidarity and cooperation.
Fourthly, welfare is the result of decisions that people make to distribute
the risks that they and/or their families face throughout the lifecycle by
availing themselves of various market mechanisms —for example, saving
and accumulating assets, purchasing life insurance or annuities and the like
(private provision).
Finally, public policy can bring basic goods and services to citizens
directly (education, health care, housing, food) and provide mechanisms to
maintain income through contributory and non-contributory systems of
protection. Other social services of less general coverage are also common,
such as active employment policies and mechanisms to serve populations that
are particularly vulnerable (homeless, orphaned children, victims of natural
disasters, and others).
Note that there is no unequivocal relationship between these sources of
welfare and the action of the several institutional spheres (family, market and
State). The fact is that forms of private provision, both within households
and through the market, depend crucially on the action of the State. Markets
do not operate in an institutional vacuum, but are influenced by regulatory
frameworks that affect the allocation of resources, the relative prices of
goods and services, employment levels, wage structures, and so on. The
distribution of resources within households, and their members’ allocation of
time to different tasks, depend on regulations regarding paid parental leave,
pension system coverage, the features of primary and secondary educational
systems, and other such factors. In many countries, the law requires individual
businesses or businesses in certain sectors to provide services of specific
kinds to their workers, and workers must contribute to insurance plans for
retirement or health care.
Nor can the State be considered the ultimate cause of private provision
arrangements. Public institutions are shaped by political processes that are a
function of societal characteristics. Public policy in less integrated societies
where certain groups are in a better position to “capture” the benefits of
State action are likely to provide less general coverage. Policy in a number of
the region’s countries has regressive features and does not reach the neediest
sectors. Thus, a political economy perspective warns against thinking of the
State as an independent agent that can design policies exclusively on the basis
of equity and efficiency.
The ultimate effect of public policy on the level and distribution of
welfare is shaped by the State’s emerging action as it affects each of these
spheres. Assessing the State as a mechanism for desirable ends —poverty
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Social cohesion in Latin America: concepts, frames of reference and Indicators

reduction, distributive justice, social cohesion, economic growth— requires
analysing the State’s interaction with the spheres and ascertaining how it
shapes both private provision (family and market) and public. In short, the
action of the three institutional spheres is far from independent.
Various academic studies have attempted to describe modern societies as a
function of the way in which the market, the family and the State as institutions
relate in the provision of welfare. The most influential classification in the
Welfare State literature is that developed by Esping-Andersen (1990, 1996),
who uses differences in national constellations of institutional mechanisms
—political, economic and social— as a criterion to distinguish different welfare
regimes. The public institutions of Welfare States are described in terms of three
dimensions: (i) State-market relationships; (ii) degree to which entitlements
are stratified or universal; (iii) degree to which access to the components of
quality of life or welfare are mercantilised.
These regimes affect a society’s distribution of welfare and its degree of social
cohesion. The most cohesive societies feature institutional arrangements in which
the State successfully reduces the disparities generated in the private sphere.
In the post-war period, the most advanced capitalist societies
consolidated what came to be known as “Welfare States”. The term refers
to a broad and comprehensive range of connected social protection policies
to reduce citizens’ exposure to social vulnerability, provide coverage for
various risks and ensure access to basic goods and services. More generally
speaking, the policies that constitute the Welfare State —especially in those
countries where the system was designed to provide universal coverage for
a broad range of needs and risks— arose from an underlying concern for
equity and social cohesion.
Despite these common threads, the notion of the Welfare State is a
diffuse one. No commonly accepted definition indicates precisely what the
Welfare State includes or what its specific functions are. In practice, the term
usually refers to the types of policies designed to ensure basic functionings1 for
citizens: access to resources through contributions-based or other monetary
or in-kind transfers, access to knowledge through education, health care,
decent housing, and so on. In other words, the role of the Welfare State is to
ensure that individuals enjoy a basic standard of living in line with the state
of development of the society of which they are a part.
As a social construction, the Welfare States are configurations arising
from a variety of historical processes that led to rather diverse institutional


1

This text uses the expression functionings in the sense that Amartya Sen has given it in his evaluative
approach to welfare.

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arrangements and policies consisting of different sets of benefits, channels
of access to benefits, and funding mechanisms. Behind this diversity,
obviously, do lie some central features that merit treating the Welfare State
as a cohesive category.
In Western societies, there is a degree of basic consensus on the ends
that the Welfare State should pursue, regardless of what policies are employed
to achieve them. The central purpose of the Welfare State, in this common
view, is to prevent extreme poverty, ensuring that all enjoy at least a threshold
standard of living that the society considers minimally acceptable. Secondly,
Welfare State policy should provide protection from the risks that people face
in the course of a lifetime, which typically include unemployment, illness and
the growing difficulty of generating an autonomous flow of income in old
age. A third, more general, but no less essential, goal is to achieve a more
equitable distribution of income and wealth than what emerges in a market
economy without State intervention. This becomes the main channel through
which the State promotes social integration and cohesion.
The importance of this particular objective —ensuring basic welfare
independent of individual circumstances— underlines the fact that distributive
justice and equity are the fundamental criteria for the design of this subset of
State policies. Thus, the State functions to redistribute a portion of the resources
generated in a market economy to groups that are a priori more vulnerable.2

C. Welfare regimes and social cohesion

The importance of social cohesion in the design of welfare policy in the
European integration process is quite clear. In 1997, the Council of Europe
identified social cohesion as a central objective, and in 2000 in Nice it agreed
on the design of a system of indicators to monitor social inclusion. The
Laeken meeting of 2001 officially adopted the system.
Policy design should take account of the performance of different
institutional contexts and individuals’ ability to gain access to basic functionings
in the private sphere (family and market). Reducing disparities in essential areas
of social life in countries like Latin America’s, where not only private-sector
distribution of resources but also access to public institutions is profoundly
unequal, requires giving public policy a central role. Monitoring the States’
capacity in this sense means creating an adequate system of indicators that
2



82

Despite the importance of these human goals, such normative arguments are not the only rationale for
welfare State policy. There are also sound reasons having to do with economic efficiency for designing and
creating solid public institutions to correct market inefficiencies, particularly in areas such as education,
health, housing and pensions (Snower, 1993).

Social cohesion in Latin America: concepts, frames of reference and Indicators

fits into a broader matrix designed to capture the dynamics of cohesion in
the region.
Indicators can be constructed to quantify the specific roles of these
spheres, but evaluating them requires normative frameworks that spell out a desirable
pattern of provision. Thus, approaches based on the premise that individuals or
families bear the primary responsibility for providing welfare will allow room
for public policy to cover the needs of those families that cannot obtain the
necessary resources through their own members or from intergenerational
solidarity within the household. From this point of view, households capable
of providing for older adults should not receive aid from the State, which
should devote itself to covering the minimum requirements of people who
have no other mechanisms to resort to. This residual view of the State
contrasts with normative approaches that consider, for example, that the
care of older adults is a societal responsibility, and that leaving protection to
families is a way of reproducing poverty, since families’ ability to bear such
responsibilities depends crucially on young adults’ assets.3
It should be noted that the relationship between the Welfare State and
social cohesion depends on the normative framework underlying public
policy. The closer the welfare regime is to the residual paradigm, the less it will
function as a mechanism to promote social cohesion, since the assumption
will be that the distribution of social resources is determined in the private
sphere. In contrast, universalistic policies are based on the notion that basic
welfare must be provided for all citizens as the foundation for an integrated
society in which all enjoy at least a minimum standard of living. From a
process perspective, universal schemes require the State to implement strong
redistributive mechanisms, which implies institutionalising solidarity (transfer
of resources from the most to the least advantaged strata) as a social value.
It is important to remember that some of the normative justification that
supported the design of the most generous Welfare States in Europe in the
post-war period arose from the need to rebuild relationships of solidarity and
solidify citizenship as a political and social concept. Hence, social cohesion, both
in its aspect of material equity and as entailing a sense of political and social
belonging, is strongly rooted in the justifications of the Welfare States. As T. H.
Marshall said in 1950, civil and political rights have a fully democratic meaning
only if they are complemented by the exercise of basic social rights. The sense
of belonging and equity on which integrated societies are based requires the
consolidation and articulation of democracy, and the presence of a Welfare State
to guarantee the exercise of these basic rights (Esping-Anderson, 2003).
3



In addition to normative rationales, of course, there are efficiency factors behind the design of social security
systems (see, for example, Feldstein and Liebman, 2002, and Modigliani and Muralidhar, 2005).

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Institutions, welfare and social cohesion: indicators of their functionality

Defining a normative criterion for the impact of welfare institutions on
social cohesion is not enough, however. There must also be an assessment of
the degree to which a sense of belonging and pertinence are present. While
a matrix of public policies established in certain historical contexts may
have played a key role in promoting welfare and social cohesion, it may not
function in that way given major changes of social and economic context. In
other words, even under regimes designed with a view to universal welfare,
historical changes can undermine the ability of public institutions to support
social cohesion.
Indeed, the debate in the developed countries today systematically points
to a loss of functionality by public policy in this area. The Welfare States were
built on the assumption of a relatively stable nuclear family able to provide
welfare for its members throughout the lifecycle, and on the assumption
of a full-employment economy. Demographic changes (the ageing of the
population and the instability of family arrangements), cultural changes (in
terms of gender roles) and economic transformations (global competition,
de-industrialisation, technological change and so on) undermined not only the
economic viability of post-war welfare policies, but their ability to promote
social cohesion. Thus, increasingly unwieldy State institutions fail to promote
social cohesion (Hemerijck, 2002).
Latin America differs from the developed countries in its institutions
(the degree to which the Welfare State is consolidated), demographics and
economics. The region’s Welfare States are usually described as incomplete,
since they have not succeeded in consolidating schemes of universal benefits,
and major segments of the population are left out or participate only
marginally. Although institutional deficiencies limit progress in constructing
policies to promote cohesion, they may also be a comparative advantage. It
is difficult to change institutional structures, and economic policy problems
create challenges for reform, but the fact that the region has yet to address
the challenge of social protection as a foundation for cohesion means that
there is an opportunity to design systems based on the distribution of social
risk in the new economic conditions generated by the region’s integration in
the global economy. Also, although important changes in family structures
are in progress, the region’s demographic structure is still skewed towards
the young end of the spectrum. This demographic bonus gives the region
the opportunity to design institutions for cohesion that will be sustainable
during the coming demographic changes.
If the central components of social cohesion are equity and a sense of
belonging, the connections between the three priority spheres of provision
—State, market and family— will function in support of that objective,
provided that they promote equity and that institutions can attract full
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Social cohesion in Latin America: concepts, frames of reference and Indicators

participation. Societies where the State’s role is residual tend to fragment access
to basic goods and services —wealthier households purchasing them in the
marketplace while poorer households obtain them from institutions designed
for them alone. This is ultimately detrimental to the sense of belonging, since
participation in the society’s institutions is fragmented. That is not to say, of
course, that targeted policies are dysfunctional for purposes of social cohesion.
If their objective is to promote equity and ensure poor sectors of access to
basic functionings, they may very well foster greater cohesion. The problem
appears to arise when their implementation involves heavy segmentation and
specialised provision —a configuration that is harmful to social cohesion.
Our objective here is not to discuss the reforms needed to ensure that
public policies function as engines of cohesion. As the above discussion
makes clear, however, a system of indicators must include explicit normative
frameworks to evaluate the social and political functionality of public policy
from the perspective of social cohesion —a perspective that is significantly
broader than poverty reduction alone.

D. Households, markets and the State: methodological
challenges to describing their interaction

Describing the roles of different institutional spheres in providing social
welfare, and the degree to which they are articulated, is not simple. Some of
the difficulty derives from the issues outlined above, in that the role of the
private sphere (families and markets) and that of the State are not independent
of each other, and that a normative framework is needed in order to establish
desirable ways of generating welfare in all three institutional spheres.
A second difficulty in defining the specific roles of the different spheres
derives from the fact that welfare provision and funding modalities vary. In
some cases, the public sector acts as a direct supplier of services, without any
specific monetary counterpart requirement. This is true, for example, in most
public education systems for children and adolescents (which are governmentfunded). In other cases, services are funded by the State but provided by the
private sector (subsidised health, for example), or beneficiaries receive public
funds that they then use to pay providers of their own choice. In yet other
institutional arrangements, the State mandates contracts between private
parties to ensure coverage in certain areas (mandatory individual capitalisation
pension systems are an example of this) without public funding entering the
picture at all.4
4



In these extreme cases, the expenditures associated with implementing the policy are not reflected in
the public accounts.

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Institutions, welfare and social cohesion: indicators of their functionality

The public policy instruments used to ensure social welfare are also
diverse. A scheme described by Barr (1992) classifies them in four major
groups: (i) public regulation; (ii) price subsidies; (iii) income transfers and
(iv) public production.
Regulation affects the functioning of markets, whether by controls on
prices (such as minimum wage policies), quantities (such as population groups
and businesses required to contribute to insurance schemes) or quality (as in
the case of food safety regulations). Price subsidies for certain goods may
be either universal or dependent on membership in certain social groups.
Transfers may be nominally associated with a certain type of spending (as in
the case of instruments designed to pay for food only) or may allow recipients
to spend funds as they choose (monetary transfers). It should be noted that
these three types of instruments address people’s budgetary constraints and
affect relative prices, but do not sidestep the market as a mechanism for
provision. In contrast, instruments of public provision give the State a role
as supplier —in some cases monopoly supplier— of certain services. The
difficulty lies in how to assign specific roles to the private sphere (families and
markets) and the public, since provision may take place through relationships
between private parties but may still be governed by legal frameworks.
Assessing the importance of the Welfare State and the extent of its effects
calls for criteria that include or exclude each of these modes of provision
and instruments of welfare policy intervention.5
A third difficulty in attempting to describe these processes is lack of
information. In particular, an accurate assessment of the role of families
as providers of welfare requires information on how households internally
allocate resources and assets. This difficulty is particularly relevant to some
dimensions of quality of life. For example, the variable generally examined
in assessing access to resources is the amount of income that households
receive through various channels. Most studies of inequality assume that
the resources received by households are distributed equitably among their
members, and focus on the variable of per capita income or income adjusted
according to scales of equivalence (that is, as a function of the needs of
different household members).
However, for reasons having to do with the reproduction of certain norms
and customs, or the fact that different household members have different levels
of decision-making power regarding the use of resources, this assumption is
far from a natural starting point for analysis. Accordingly, the literature agrees
5



86

In reality, the ambiguity in the definition of the limits of the State as a provider of welfare goes deeper.
Practically the entire constellation of public policies affect the level and distribution of welfare. Environmental,
urban development and public security policies are undeniably important determinants of welfare. It is
thus far from obvious what criteria should be used to classify the different areas of State action.

Social cohesion in Latin America: concepts, frames of reference and Indicators

that the assumption of equitable distribution within the household is not
supported empirically. The members of a household do not equally benefit
from either the resources or functionings that they obtain for the household
(Burton and others, 2007),6 and there is little information on intra-household
resource allocation, since most household surveys do not systematically explore
this. Even when specific statistical instruments are designed for the purpose,
the ability to capture inequalities of this nature is limited.
Furthermore, limited information makes it impossible in some cases
to distinguish welfare provided by the family from that obtained in the
marketplace. Although the proportion of goods and services that households
purchase in the market and the proportion that they receive in the form of
public transfers can be calculated, it is impossible to ascertain how these
resources are allocated within the household. Thus, we shall specify indicators
in the two spheres that generate welfare —State and private— but without
disaggregating family and market within the private sphere.
E. Indicators of institutional functioning7

The research programme instituted by ECLAC calls for a system of indicators
that can describe the degree of social cohesion in the region as a basis for
discussing and formulating public policy. The objective of the present work is
to propose a tentative set of indicators for monitoring the degree to which the
different institutional spheres that provide welfare (State, market and family)
feature the sort of articulation outlined above. Based on our examination
of welfare provision mechanisms and the concept of cohesion proposed
by ECLAC, we attempt to construct a set of indicators that simultaneously
captures the relative importance of these spheres, the extent to which they
are articulated, and their segmentation or specialisation to address the needs
of different sociodemographic groups.
A system of indicators should have certain basic properties that facilitate
interpretation and monitoring. As Atkinson and others (2002) put it, it must
follow certain principles. Some of these apply to the characteristics of
individual indicators, others to the “portfolio” of indicators as a whole. The
following properties or principles apply to individual indicators:
6



7



This reasoning also applies to other dimensions of welfare. For example, when care is provided within
the household, some members must devote resources such as time to it. Identifying care providers and
recipients within the household is essential for understanding how the provision of welfare functions
in that sphere. Time use surveys provide elements for such analysis, but regular such surveys are not
sufficiently widespread in the region to allow us to track indicators based on them.
A previous version of this work proposed a substantially larger group of indicators. Comments at the regional
seminar “Alcanzando convergencias en la medición de la cohesión social” (“Reaching convergences in
measuring social cohesion”) held by ECLAC in Santiago, Chile on 31 August and 1 September, however,
persuaded us to reduce the number of indicators significantly in pursuit of parsimony, and in light of the
fact that the central objective here is monitoring social cohesion in the region.

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Institutions, welfare and social cohesion: indicators of their functionality

• They identify the essence of the problem. Success in this depends
on the presence of a clear and accepted normative interpretation. The
methodology used should be comprehensible to the society at large.
• They offer robustness and validity. Marginal variations in how
calculations are performed should not substantially change an
indicator’s pattern, and all indicators should be based on statistically
reliable information.
• They are sensitive to policy interventions. An indicator should
capture the impact of public policy. Furthermore, it should be relatively
impervious to manipulation, since otherwise policy can be diverted to
affect the indicator rather than attack the substantive problem.
• They should provide for comparability. Indicators should
provide for comparability among the countries that are part of the
information system, and should be comparable with international
standards to the extent possible. This means that countries must
make efforts to develop statistical information based on common
conceptual frameworks.
• They should be reviewed periodically. Indicators are not absolute
standards, but responses to certain stages of development. Hence,
they require periodic review, and adjustment in light of central
objectives on relevant dimensions.
The dimensions of the system as a whole must be properly balanced,
and the dimensions must be mutually consistent. In addition, the system
must be transparent, and accessible to any citizen of the region interested
in the issues.
The set of indicators proposed below attempts to meet these
requirements, balancing precision and completeness with parsimony. The
availability of statistics in the region must also be considered, so that most
of the countries can participate in the resulting information system.
Our methodological approach is based on the system initially proposed
by ECLAC, which has three components —disparities or gaps, institutions
and sense of belonging— plus a set of factors describing social cohesion on
each of these dimensions (see figure III.1). Although the specific objective
here is to create a system of indicators for the institutional component, the
above discussion suggests that a broader view must come into play, for the
disparities are the result of how the various spheres of welfare provision
interact, and therefore the system of indicators must reflect the specific roles
of public policy, families and markets in shaping the disparities. Accordingly we
propose, in addition to indicators of institutional functioning, supplementary
indicators of disparities, with focuses on inequality and poverty, education
and the digital gap.
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Social cohesion in Latin America: concepts, frames of reference and Indicators

■■

Figure III.1

The architecture of the system of social cohesion indicators proposed by ECLAC

Disparity

Institutions

Belonging

• Poverty and income

• Democratic system

• Multiculturalism

• Employment

• Rule of law

• Social capital

• Social protection

• Reducción de la
corrupción

• Expectations for
the future

• Justice and human
security

• Social integration
and memberships

• Public policy

• Pro-social values

• Education
• Digital gap
• Health
• Consumption and
access to services

• Market institutions

Indicators:
Objetive and subjective
Quantitative and qualitative

Source: Economic Commission for Latin America and the Caribbean (ECLAC), Social Cohesion: Inclusion and a Sense of
Belonging in Latin America and the Caribbean (LC/G.2335/Rev.1), Santiago, Chile, 2007.

This proposal therefore proceeds in two stages. First, it suggests an initial
set of indicators to capture the role of institutions in various areas of social
life. The emphasis here is on describing the functioning of public policy in
each pillar or component of social cohesion, according to its coverage and
the stratification mechanisms that affect access to benefits. These indicators
measuring the relative effort of each institutional sphere in providing welfare
address the “institutions” component in the ECLAC scheme. Second, it
suggests supplementary indicators to identify both the institutional origins
of what has been achieved in each dimension and the remaining disparities
or gaps (more precisely: the capacity of institutions, and of the State in
particular, to reduce the gaps).
1.

Institutional indicators

As indicated above, the institutional indicators attempt to capture the relative
contributions of the public sphere and the private (families and markets) to
the provision of welfare and the reduction of social disparities, since this
in turn provides support for social cohesion. This means that the indicators
must provide a way to (i) analyse the role of the social protection system
as a mechanism for access to resources in addition to incomes and other
resources that households obtain as a result of their activity in the labour
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Chapter III

Institutions, welfare and social cohesion: indicators of their functionality

market; (ii) monitor the roles of institutions as providers of health, housing
and educational services (the emphasis in these areas being not on identifying
disparities, but on a basic description of the institutional scaffolding that makes
access possible) and (iii) capture the degree to which different demographic
groups participate in public institutions.
2.

Access to resources: State, market and family

Table III.1 shows the indicators designed to measure the role of the State as
a provider of income. Identifying gaps between quintiles makes it possible
to quantify the extent to which the social security system is stratified
and fragmented throughout the income distribution. The information is
disaggregated by age groups (under 18, 19-64 and 65+) to determine the
coverage of transfers over the course of the lifecyle. The literature recognises
a certain shift in protection systems. These originally focused on retirement
for older adults, but changes in the distribution of vulnerability have led to a
structure of social risk that centres more on the younger population, putting
new demands on policy. Indicators of instruments specific to particular age
groups and of their coverage make it possible to analyse the degree to which
protection systems are adapted to today’s emerging realities.
■■

Table III.1

Scope of the social protection system: primary indicators
State
Public institutions of social protection: primary indicators
Total

Existence of non-contributionsbased benefit system (Yes/No)

Percentage of households covered
by non-contributions-based public
transfers

Existence of contributions-based
benefit system (Yes/No)

Percentage of households covered
by contributions-based public
transfers

Gap between quintiles 1
and 5

Existence of contributions-based
benefit system (Yes/No)

Percentage of households covered
by contributions-based public
transfers

Under 18

Existence of non-contributionsbased benefit system (Yes/No)

Coverage of each programme as
percentage of target population

Percentage of beneficiaries of this
type of programme

Active age

Existence of non-contributionsbased benefit system (Yes/No)

Coverage of each programme as
percentage of target population

Percentage of beneficiaries of this
type of programme

65+

Existence of non-contributionsbased benefit system (Yes/No)

Coverage of each programme as
percentage of target population

Percentage of beneficiaries of this
type of programme

Source: Prepared by the author.
Note: The indicator of coverage will coincide with the indicator of the percentage of beneficiaries only in the case of universal
services for each age group.

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Social cohesion in Latin America: concepts, frames of reference and Indicators

In summary, the proposed primary indicators attempt to show to what
extent a country has a social protection system focusing on the sectors that
most lack access to the contributions-based system. Analysis of the system’s
coverage in this way shows the degree to which the system is capable of
promoting policies that guarantee greater equity.
We also propose secondary indicators of the legal status of
contributions-based and non-contributions-based benefits. The purpose
of analysing the legal architecture is to ascertain to what degree it either
reproduces the segregation observed in the society or achieves greater
integration through a single coordinated set of institutions. It should be
noted that identifying non-contributions-based benefits provided under
regulatory frameworks that can be easily reversed has led to some of the
region’s non-contributions-based transfer experiments being dismantled.
Thus, the legal level at which an entitlement is guaranteed is an indicator of
the policy’s stability.
■■

Table III.2

Scope of the social protection system: secondary indicators
State
Public institutions of social protection: secondary indicators
Total

Legal status of contributions-based
systems (Constitutional, statutory,
executive-branch decision)

Mechanisms for selecting beneficiaries
(required contributions, universal
entitlement, means-tested assistance,
positive discrimination)

Management of benefits (social
security institutions, ministries,
specialised public agencies to provide
services)

Under 18

Legal status of non-contributions-based
systems (Constitutional, statutory,
executive-branch decision)

Mechanisms for selecting beneficiaries
(required contributions, universal
entitlement, means-tested assistance,
positive discrimination)

Management of benefits (social
security institutions, ministries,
specialised public agencies for the
purpose)

Active age

Legal status of non-contributions-based
systems (Constitutional, statutory,
executive-branch decision)

Mechanisms for selecting beneficiaries
(required contributions, universal
entitlement, means-tested assistance,
positive discrimination)

Management of benefits (social
security institutions, ministries,
specialised public agencies to provide
services)

65+

Legal status of non-contributions-based
systems (Constitutional, statutory,
executive-branch decision)

Mechanisms for selecting beneficiaries
(required contributions, universal
entitlement, means-tested assistance,
positive discrimination)

Management of benefits (social
security institutions, ministries,
specialised public agencies to provide
services)

Source: Prepared by the author.

Finally, we propose indicators to capture the relative importance of State
transfers and of the resources that economically active household members
obtain in the labour market (either formal or informal). The dependency ratio
is also included as a reflection of the relative effort required for families to
provide welfare for their inactive members (basically children and older adults
not entitled to social security benefits) (table III.3).
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Institutions, welfare and social cohesion: indicators of their functionality

■■

Table III.3

Relative importance of the state, the market and the family as sources of income
Family
State

Market

Primary

Secondary

Overall

(a) Percentage of per capita
income derived from
public transfers

(a) Percentage of households
with members receiving
income from the formal
sector
(b) Percentage of households
with income only from the
informal sector

Dependency ratio

(a) (children under 18) / (number or
recipients)
(b) (adults over 65 who do not receive
pensions) / (number of recipients)
(c) Percentage of adults over 65 who
do not receive pensions

First quintile

(a) Percentage of per capita
income derived from
public transfers

(a) Percentage of households
with members receiving
income from the formal
sector
(b) % of households with
income only from the
informal sector

Dependency ratio

(a) (children under 18) / (number or
recipients)
(b) (adults over 65 who do not receive
pensions) / (number of recipients)
(c) Percentage of adults over 65 who
do not receive pensions

Fifth quintile

(a) Percentage of per capita
income derived from
public transfers

(a) Percentage of households
with members receiving
income from the formal
sector
(b) Percentage of households
with income only from the
informal sector

Dependency ratio

(a) (children under 18) / (number or
recipients)
(b) (adults over 65 who do not receive
pensions) / (number of recipients)
(c) Percentage of adults over 65 who
do not receive pensions

Source: Prepared by the author.

3.

Education, health and housing

Table III.4 shows the proposed indicators for education, health and housing.
They are designed to reveal the institutional articulation of the State and the
private sphere in providing welfare, not their impact on equality or inequality
in those areas. Following the ECLAC (2007) scheme, the supplementary
indicators that reflect the disparities in each dimension are categorised under
the “disparities” or “gaps” component.
■■

Table III.4

Institutional indicators associated with access to education, health and housing
State

Private sphere

Education

(a) Percentage of children 6-15 who attend public school
(b) Percentage of individuals 16-18 who attend public school
(c) Percentage of individuals 19-24 who attend public school

(a) (private educational spending per primary school student) /
(public educational per primary school student)
(b) (private educational spending per secondary school student)
/ (public educational per secondary school student)

Health

(a) Percentage of population with public health care coverage
(b) Percentage of population with subsidised private health
care coverage
(c) average per capita spending in the public sector
(d) average per capita spending in the subsidised sector

(a) Percentage of people with private coverage
(b) average per capita spending in the private sector

Housing

Percentage of housing loans granted by the public sector

Percentage of housing loans granted by the private sector

Source: Prepared by the author.

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Social cohesion in Latin America: concepts, frames of reference and Indicators

4.

Institutional integration

Finally, we use two common social categories —gender, and ethnic or racial
group— to analyse the extent to which the structure and decision-making
of public institutions takes account of traditionally neglected gender and
ethnic groups. ECLAC has proposed three operational components for the
concept of social cohesion: disparities, institutions and sense of belonging.
The indicators proposed in table III.5, although applying to the institutional
component in that they refer to the presence of different groups in public
institutions, also bear a relation to the belonging component, since they reflect
different groups’ access to the institutions.
■■

Table III.5

Indicators of institutional integration
Primary

Secondary

Ethnic
or racial
groups

(Percentage of ethnic group i in parliament) / (Percentage of
people belonging to ethnic group i in the population)

(a) (Percentage of ethnic group i among executive branch
officialsa) / (Percentage persons of ethnic group i in the
population)
(b) (Percentage of ethnic group i sitting on supreme court) /
(Percentage persons of ethnic group i in the population)

Gender

(Percentage of women in parliament) / (Percentage of women
in the population)

(a) (Percentage of women I executive branch officials) /
Percentage of women in the population)
(b) (Percentage of women sitting on supreme court) /
(Percentage of women in the population)

Source: Prepared by the author.
a

“Executive branch officials” refers to ministers.

As a primary indicator, we use the ratio of the proportion of members of
an ethnic or racial group in parliament to the proportion of the group in the
population as a whole. It seems reasonable to assume that institutions that
provide equal access to the population will have indices close to unity. As
secondary indicators, we propose the ratio of the proportion in ministerial
posts and supreme courts to the proportion in the population as a whole.
5.

Indicators of the institutional capacity to reduce disparities

Any system of indicators designed to measure access to resources related
to social cohesion must include the element of inequality and the State’s
ability to reduce it. Accordingly, we suggest supplementing the basic ECLAC
scheme with indicators that reflect the State’s role in reducing disparities
—for example, indicators of poverty, poverty gap, indigence and inequality
before and after non-contributions-based transfer policies and taxes. This
would throw light on the role of public policy in reducing social inequality
and deprivation (table III.6).
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■■

Table III.6

Indicators of the state’s capacity to reduce disparities
State

Private sphere

Incidence of poverty

Poverty after non-contributions-based transfers and
direct taxes

Poverty before non-contributions-based transfers and
direct taxes

Poverty gap

Poverty gap after non-contributions-based transfers
and direct taxes

Poverty gap before non-contributions-based transfers
and direct taxes

Incidence of indigence

Indigence after non-contributions-based transfers and
direct taxes

Indigence before non-contributions-based transfers
and direct taxes

Ratio of average income
in wealthiest quintile to
average income in poorest
quintile

After non-contributions-based transfers and direct
taxes

Before non-contributions-based transfers and direct
taxes

Gini

Gini after non-contributions-based transfers and
direct taxes

Gini before non-contributions-based transfers and
direct taxes

Source: Prepared by the author.

Satisfying household members’ needs for care is an important
component of welfare, for both caregivers and recipients. One problem in this
area is that when public institutions have no care mechanisms, families bear
practically exclusive responsibility for care. In higher socioeconomic strata,
this problem is generally solved through the market (daycare centres, nursing
homes, domestic help), while in less well-off families the responsibility falls on
household members of economically active age —generally women— who
must abandon other areas of activity to provide care (table III.7).
The proposed indicator here focuses on the provision of childcare
(average % of children under 5 who receive care in different institutional
contexts in quintiles 1 and 5). Care issues involving older adults can be
captured by indicators in the ECLAC system of social cohesion indicators
that show the scope and magnitude of pension systems, and also by indicators
of access to social protection proposed in sections above.
■■

Table III.7

Indicators of the state’s capacity to provide care
State

Market

Families

Overall

Percentage of children under 5 who
receive care in public institutions

Percentage of children under 5 who
receive care in private institutions

Percentage of children under 5 who do
not receive institutional care

First quintile

Percentage of children under 5 in quintile
1 who receive care in public institutions

Percentage of children under 5 in quintile
1 who receive care in private institutions

Percentage of children under 5 in quintile
1 who do not receive institutional care

Fifth quintile

Percentage of children under 5 in quintile
5 who receive care in public institutions

Percentage of children under 5 in quintile
5 who receive care in private institutions

Percentage of children under 5 in quintile
5 who do not receive institutional care

Source: Prepared by the author.

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Social cohesion in Latin America: concepts, frames of reference and Indicators

6.

Capacity to reduce the digital gap

The inclusion of the digital gap as a dimension of the region’s social disparities
is an innovative contribution by ECLAC. To supplement the ECLAC scheme
in this respect —which includes “children’s and young people’s access to a
computer and the Internet at home and at school”— we propose indicators
showing how important a role the State plays in reducing the digital gap, and
the scope of its action in this area as compared with the private sector.
■■

Table III.8

Indicators of the state’s capacity to reduce the digital gap
State
Overall

•
•

First quintile

•
•

Fifth quintile

•
•

Percentage of individuals under
18 who use computers in public
programmes
Percentage of individuals under 18
who access the Internet through
public programmes
Percentage of individuals under
18 who use computers in public
programmes
Percentage of individuals under 18
who access the Internet through
public programmes
Percentage of individuals under
18 who use computers in public
programmes
Percentage of individuals under 18
who access the Internet through
public programmes

Families

Market
•
•

•
•

•
•

Percentage of individuals under 18
who use computers in the private
educational system
Percentage of individuals under 18
who access the Internet through the
private educational system

•

Percentage of individuals under 18
who use computers in the private
educational system
Percentage of individuals under 18
who access the Internet through the
private educational system

•

Percentage of individuals under 18
who use computers in the private
educational system
Percentage of individuals under 18
who access the Internet through the
private educational system

•

•

•

•

Percentage of individuals under 18
who use computers at home
Percentage of individuals under 18
who access the Internet at home

Percentage of individuals under 18
who use computers at home
Percentage of individuals under 18
who access the Internet at home

Percentage of individuals under 18
who use computers at home
Percentage of individuals under 18
who access the Internet at home

Source: Prepared by the author.

G. Final comments

As part of a programme of research to incorporate the issue of social
cohesion and promote a more comprehensive concept of development,
ECLAC is working to create a coherent system of indicators that permits
comparative evaluation of cohesion in the region. Accordingly, it has proposed
a preliminary set of indicators for monitoring cohesion. The present document
fits into that process by providing an initial proposal for a set of indicators
to capture the institutional component of social cohesion.
A basic conceptual ingredient that should be borne in mind in studying
this proposal is that it considers households, markets and the State as central
institutional channels for access to welfare. Thus, the connectivity and
complementarity of these institutions is a central determinant of welfare
and social cohesion. From a public policy perspective, the indicators must
capture the way in which the State is capable of influencing this institutional
configuration, and thus it becomes important to describe the impact of
welfare regimes on social cohesion.
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Institutions, welfare and social cohesion: indicators of their functionality

Accordingly, this article has proposed a tentative set of indicators to
monitor the articulation of the different institutional spheres in which welfare
is provided, including some addition ones to those proposed by ECLAC,
in order to capture the State’s capacity to reduce social disparities. It also
includes indicators that focus on how basic institutions —State, market and
family— function as mechanisms for the provision of welfare.
Like any preliminary proposal, this one calls for further work.
Conceptually, it must establish what additional categories are needed and
which ones may be redundant; operationally, it must work with the information
actually provided by national statistical systems.
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Atkinson, T. and others (2002), Social Indicators. The EU and Social Inclusion, Oxford
University Press.
Barr, N. (1992), “Economic theory and the welfare state: a survey and interpetation”,
Journal of Economic Literature, vol. 30, No. 2.
Burton, P., S. Phipps and F. Woolley (2007), Inequality and Poverty Re-examined, S. Jenkins
and J. Micklewright (eds.), Oxford University Press.
ECLAC (Economic Commission for Latin America and the Caribbean) (2007),
Social Cohesion: Inclusion and a Sense of Belonging in Latin America and the Caribbean
(LC/G.2335/Rev.1), Santiago, Chile.
Esping-Andersen, G. (2003), Social Foundations of Postindustrial Economies, New York,
Oxford University Press.

(1990), The Three Worlds of Welfare Capitalism, Princeton, Princeton University
Press.

(ed.) (1996), Welfare States in Transition. Social Security in the New Global Economy,
London, Sage.
Esping-Andersen, G., D. Gallie and A. Hemerijck (2003), Why We Need a New Welfare
State, Oxford University Press.
Hemerijck, A. (2002), “The self-transformation of European social model(s)”, Why
We Need a New Welfare State, Oxford University Press.
Fajnzylber, Fernando (1990), “Industrialization in Latin America: from the “black
box” to the

“empty box”: a comparison of contemporary industrialization patterns”,
Cuadernos de la CEPAL series, No. 60 (LC/G.1534/Rev.1-P/I), Santiago, Chile.
United Nations publication, Sales No. E.89.II.G.5.
 Feldstein, M. and J. Liebman (2002), “Social security”, Handbook of Public Economics,
vol. 4, Amsterdam, North-Holland.
Modigliani, F. and A. Muralidhar (2005), Rethinking Pension Reform, Cambridge
University Press.
Snower, D. (1993), “The future of the welfare state”, The Economic Journal, vol. 103,
No. 418.
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Chapter IV

Building bridges between sustainable
development and social cohesion
Francisco Canal Alban
Rayén Quiroga Martínez
Yosu Rodríguez Aldabe
Pauline Stockins
María Nájera

A. Introduction

This article seeks to build conceptual and empirical bridges between social
cohesion and the environment in the Latin American and Caribbean context.
It is but a beginning, and discussion is needed to enrich both the conceptual
views and the potential indicators that it proposes.
The article should be seen in the broad context of attempts to ascertain
how sustainable the region’s processes of social development are, and to
advance comprehension of them. It enlarges on and aims to complement the
conceptual scheme of components and dimensions put forth in the ECLAC
(2007) proposal for a system of social cohesion indicators.
Some central premises regarding the relationship of the environmental
and social spheres are at work here. One is that the natural patrimony must
be recognised as a vital determinant of the sustainability of economic and
social development. This is the rationale for exploring some environmental
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issues complementary to the dimensions and indicators proposed by ECLAC
in its approach to social cohesion.
We also suggest that social-environmental conflicts are an important
horizontal component, since they drive the processes and shape the results of
social inclusion and exclusion, and since they influence and alter institutional
mechanisms and forms of belonging that are critical for social cohesion in
the region’s countries.
Finally, based on this analysis of the various components of the
environmental dimension of social cohesion, we propose a series of
environmental indicators as a way of monitoring factors that play a direct
role in social cohesion.

B. Relations between social cohesion
and environmental sustainability

The modified version of the European Union’s concept of social cohesion
emphasises examining the social and institutional relationships needed to
ensure the welfare of a society as a whole. It reflects the European social
model, which seeks economic growth compatible with social justice. Social
cohesion is seen as a society’s capacity to ensure the welfare of all of its
members, minimising disparities and preventing polarisation (European
Committee for Social Cohesion, 2004).
From a regional perspective, following the concept proposed by
ECLAC (2007), one can understand social cohesion as a dialectic between
the institutional mechanisms of inclusion/exclusion and the responses and
perceptions of a society’s actors. Considered from this point of view, cohesion
can be seen to include three interrelated components, each of which has
specific effects on cohesion: (i) disparities or gaps; (ii) institutional mechanisms
of inclusion/exclusion, and (iii) a sense of belonging. Various relationships
linking the three in different directions can be identified, and they may vary
over time and in different contexts.
Social cohesion policy in Latin America and the Caribbean is an
important element of governmental agendas in the region, and one that
takes shape as a function of the region’s particular characteristics, driving the
construction of both concepts of cohesion and mechanisms to measure it.
In this process, discussion of the ecological and ecosystemic bases of social
development becomes vitally important.
From this point of view, it is not only possible, but essential, to broaden
the concept of social cohesion to include the dimension of environmental
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sustainability. There is also a basis for this in the Council of Europe’s proposal,
which “contains theoretical elements focusing on rights, social capital, social
inclusion and social protection” (ECLAC, 2007, p. 17).
1.

Environmental sustainability and social cohesion

The Latin American and Caribbean debate on what it means for development
to be sustainable is wide-ranging and rich. Given the features and diversity
of the region’s ecosystems, its productive dynamics and its social and cultural
dynamics, the meaning of the “environmental sustainability of development”
differs with country, context and type of institution (academic, governmental,
international organisations, civil society, and so forth).
In its most comprehensive and complex form, the concept of the
sustainability of development is clearly relational. In other words, it involves
links between economic dynamics (extraction of resources, processing,
distribution, consumption, waste disposal, human settlement) and the
dynamics of the ecosystems in which these processes unfold —i.e., their
ecological resilience.
Thus, the sustainability of development depends on economic processes’
taking from and putting into ecosystems in such a way that (i)  levels of
natural resources and environmental quality are preserved; (ii) the intensity
and duration of economic activities allow ecosystems to be restored, so that
their current and future potential is preserved, and (iii)  the future of the
natural patrimony, the environment’s biodiversity and the production of
environmental services are ensured.
The sustainability of the social and economic dynamics that generate
given degrees of social cohesion is related to the environment’s capacity to
maintain the conditions needed for medium- and long-term development.
Underlying the analytically distinguishable notions of sustainable development
and the sustainability of development, then, is the idea that a process of
development can continue over time, while preserving the integrity of
ecosystems and allowing non-human species to survive.
Considerable analytical and epistemological challenges are involved
in comparing extraction/replacement with absorption/waste-generation,
since describing these processes adequately —let alone translating them into
public policy— requires systemic, multidisciplinary and dynamic tools of
analysis and quantification capable of dealing with the growing complexity of
various systems (economic, social, ecological) that are in a state of permanent
interaction and change.
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Given this complexity, the sustainability of development in any
particular locale or territory is shaped by a series of conditions (including,
among others, relationships of magnitudes or intensities, and relationships
between extraction/resilience and waste generation/absorption/
decomposition/dilution).
Applying this conceptual perspective to the sustainability of development
at the regional level, assessments agree that the principal problems or tensions
that development poses for the dynamics of the region’s ecosystems include
over-exploitation and exhaustion of natural resources (including soils, coastal
areas and oceans, forests, freshwater resources), and that loss of biodiversity is
a central problem. Growing air, water and soil degradation and contamination
are also evident as a result of intensive industrial processes, urbanization and
the continuing presence of precarious human settlements.
To recapitulate, the notion of sustainability implies maintaining a given
dynamic over time. Thus, for development to be sustainable (whether simply
in the sense of greater production, or in the sense of better distribution of
the efforts and fruits of the development process), it must unfold in a way
permitted by the natural patrimony’s availability and renewability, and the
resilience of ecosystems.

2.

Environment and social cohesion: an integrative approach

(a) Central premises regarding the interrelation of the environmental and
social spheres

 Any conceptual approach that proposes relationships among notions,
systems and processes as broad as social cohesion and the environmental
sustainability of development must make its central premises explicit. The
premises at work here are the following:
• From a systemic point of view, two permanently interacting
and mutually modifying subsystems can be posited. One of the
components of this ongoing interaction is the natural system, the
other human society, each of which, despite their interaction, is
driven and shaped by its own determinants.
• Humanity —its social and economic organisation— is an open
system, sustained by ecosystems that feed and cleanse it. This is
evident at all scales, from individual localities and villages to cities,
provinces, countries, supranational regions, and ultimately the planet
as a whole.
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• Analysis shows that the costs and benefits of using and appropriating
territory, environmental space and natural and economic resources
are distributed in a way that makes for an inequitable, ethically
unacceptable world in which those with more power and economic
resources leave a much greater ecological footprint, do far more
damage to the quality of the environment and leave fewer resources
for more vulnerable groups to use.
• Thus, dealing with social issues —and society’s intertemporal
distribution of income, poverty and employment in particular— also
means considering the ecological base on which the production of
economic goods and services depends, as well as its relationship to
the social fabric and human processes.
• Social cohesion plays a central role in a society’s ability to take action
regarding the elements needed for sustainability. The greater its
social cohesion, the more able a society will be to make relevant
information available to all and agree on policy to preserve the
natural patrimony. This, in turn, will create better conditions under
which to deal with natural phenomena and perturbations of nature
caused by human activity.
• At the same time, social cohesion requires preserving the natural
patrimony and its diversity, and maintaining the quality of the
environment across space and time.
• Equity is central to the sustainability of human processes across
space and time. It implies equality of opportunity, as well as
equitable distribution of resources and rights across territories,
human groups in or across societies, countries, and present and
future generations.
• Clearly, dealing with these elements is central when addressing social
cohesion in Latin America and the Caribbean. The region’s economic
axes and engines of development are based on an increasing
exploitation of natural resources and on the environmental services
flowing from the environmental patrimony.

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■■

Figure IV.1

The ecosystems and natural patrimony that provide the foundation for social cohesion

Foundational ecosystems /
natural patrimony

Social organisation

Social cohesion

• Disparities
• Institutional
mechanisms
• Sense of belonging

Source: Prepared by the authors.

(b)  Proposed model: the relation between environmental sustainability
and social cohesion

 The following is a conceptual approach devised to relate the processes
of social cohesion with the dynamics of the environment in a way consistent
with the ECLAC (2007) approach to social cohesion.
This model links social cohesion and environmental sustainability,
broadening the concept of social development to include sustainable
improvement of the population’s quality of life, on the thesis that the two
processes are linked by a continuous feedback loop. Accordingly, insofar as
the dynamics of the three components of social cohesion work to increase
cohesion, they also benefit environmental quality. Environmental sustainability,
in turn, favours social cohesion, as our initial premises indicate.
Following the premises and the above line of thought, the model
distinguishes the following elements:
• Ecosystems / natural patrimony as the foundation for human
dynamics, organisation and processes, including social cohesion. The
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Social cohesion in Latin America: concepts, frames of reference and Indicators

three following dimensions also merit attention as central elements
for analysing the relationship between cohesion and social and
environmental sustainability;
• Disparities or gaps in the availability of environmental patrimony
and services to different social groups;
• The mechanisms and institutional aspects of the environmental
sustainability of social cohesion.
• A component of belonging and participation, which includes
aspects of life in different territories, processes of participation,
environmental information and elements such as environmentfriendly values, attitudes and behaviours.
• Finally, as a dynamic traversing the three components, closely
related bi-directionally with each of them and with the patrimony
that sustains them, the model considers social/environmental
conflicts as processes and opportunities for achieving environmental
sustainability and social cohesion.
Figure IV.2 presents the proposed scheme in summary form.
Each component here is analysed in terms of the relationship between
environmental sustainability and social cohesion.
■■

Figure IV.2

Scheme for analysis of environmental issues in relation to social cohesion

Natural patrimony

Disparities of
access and
distribution

Environmental
institutions and rights

Participation and
sense of belonging

Social-environmental conflicts

Source: Prepared by the authors.

Each of these components and its multiple manifestations affect social
processes and degrees of social cohesion, as well shall attempt to describe
in the following sections.
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(c) Components of the environmental sustainability of social cohesion

(i) The natural patrimony: support and container of the human

One of the elements that make it possible to address environmental
issues and social cohesion simultaneously is the fact that human societies in
any territory are based on the territory’s natural patrimony, which serves as
the ecological and ecosystemic foundation for social development, and both
directly and indirectly affects a society’s capacity to progress with increasing
cohesion. Ecosystems contain and support all life on the planet, including
human society. Economic production —and hence also the distribution of
income and opportunity— depends on environmental patrimony in individual
territories. Nor can greater social cohesion be studied without considering
the natural patrimony and environmental services that are taken for granted
and assumed to be stable, even though they depend on the rhythm, size and
persistence of the human footprint in the planet’s ecosystems.
The sustainability of development is in jeopardy from the current
deterioration of ecosystems, which are vital support systems for societies.
This loss of natural patrimony reduces our potential to generate human
welfare responsibly and sustainably. From a comprehensive, intergenerational
perspective, the natural patrimony is the sine qua non of any process of welfare
and social cohesion.
Thus, given its ecological impact, today’s economic pattern of extracting/
harvesting and returning resources to ecoystems cannot continue to expand
indefinitely, for the planet is finite and subject to certain rhythms, which determine
how quickly natural resources, materials and energy can be replaced. The planet
can dilute, absorb and recycle societies’ wastes only at limited pace.
• Limits on economic growth, and the need for global and national
redistribution
The limits of economic growth have been discussed for decades with
different focuses. Of particular relevance here is the Club of Rome’s emphasis
on the exhaustion of natural resources at the global level. Although fossil
fuels and other obviously non-renewable subsoil resources have not yet been
exhausted, their use increases global warming. The costs associated with
contamination from these fuels have led the developed nations to make a formal
international commitment to reducing emissions (Kyoto Protocol to the United
Nations Framework Convention on Climate Change) by taxing and limiting their
use, while creating incentives to replace them by clean, renewable energy.
Such normative, and even moral, limits on certain industries and activities
have always existed. However, physical laws —which no human technology
or ingenuity can circumvent— also clash with pretensions (whether implicit
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or explicit) of unlimited economic growth. The law of gravity reigns on our
planet, as elsewhere, and we know thanks to thermodynamics that matter and
energy are a constant and that life forms, including human beings, cannot
add to that quantity. Human beings must meet their needs —and figure out
how to live with dignity— within this constraint.
If any social arrangement or economic approach to organizing
production and distributing wealth involves activity that challenges nature’s
physical and biotic limits, ecosystems will suffer, and the sustainability of
economic and social dynamics will suffer along with them.
It is crucial to realise that human pressures have already exceeded what
the resilience of some ecosystems can bear. Resources have been exhausted
and the environment has been considerably damaged. Human use of
environmental space has been unequally distributed among countries and
individuals. A comparative examination of ecological footprints —that is, the
use of environmental space to sustain life styles— is revealing: the average
ecological footprint of a resident of the United States, at 9.4 hectares per
person, is three times that of a resident of Mexico (3.4 hectares) and over
tenfold the footprint of a resident of India (0.9 hectares).
Countries with under-used environmental space must import space in
the form of environmental products and services from other countries, which
in the process mortgage their future capacity for development by reducing
their own environmental patrimony. As a rough estimate, if the planet’s usable
land were distributed equitably among its 6.5 billion human inhabitants, each
human being would have approximately 2 hectares to subsist on.
• Size and intensity do matter
Size and intensity matter when analysing sustainability. There is
a recycling of the natural patrimony and the services based on it. The
components move, are replaced and evolve at a rhythm set by nature, which
the pace of human greed most often exceeds. Thus, the size, intensity and
persistence of human intervention in certain territories (and its impact on
certain ecosystems) can affect human cultures and social fabrics in different
ways and with different intensities.
For a local community, or for the cultural tradition and social cohesion
of an ethnic group or indigenous people, socially and environmentally
responsible tourism does not have the same impact as a continual invasion
of tourists who exploit, prey on, and sully everything in their path, leaving
the profits of their activity in the pockets of operators based in the cities.
And megaprojects to extract resources from particular territories can have
adverse effects on social fabrics and ecosystems.
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(ii) Component 1. Social/environmental disparities

Unequal distribution of natural patrimony and environmental services
among different population groups, and the relationship of these inequalities
to social cohesion, are an important subject of study.
A population’s welfare is very closely connected with its local
environmental conditions, and with its access to natural resources and
environmental services. Social/environmental inequalities consequently arise
when populations are distributed unevenly over different territories, and when
environmental resources and services vary across territories and populations.
Social/environmental inequality is also affected by the disparate impact that
environmental degradation has on different social groups (classes, age brackets,
ethnic groups, genders). The result of all of this is a persistent pattern of
social inequality in which the wealthy consume and pollute disproportionately,
while it is other groups that mostly feel the effects of their activity.
Social/environmental disparities can be identified and analysed by
comparing generations (present and future), geopolitical areas, continents,
countries, cities, towns, basins or ecosystems, urban and rural areas, or
segments within human settlements. Obviously, these ways of considering
inequality are interconnected and interact in a very complex way.
As the following table shows, the relationship between social/
environmental disparities and social cohesion can be examined in terms of
at least four major dimensions.
■■

Table IV.1

The organisation of social-environmental disparities
Dimensions

Categories

Examples of elements that can be compared to reveal social/
environmental disparities

Scale

Scales of analysis:
Global
Regional
Subnational

Developed versus developing countries
One subregion or country versus another
Urban versus rural areas
One urban area (e.g., neighbourhood) versus another
One city or town versus another

Time

Intergenerational

Present generations versus future generations

Object

Access, use and enjoyment of resources by
different populations (in terms of analytical
categories) with respect to:

Elements of the relationship between society and environmental
patrimony/services
Natural patrimony
Environmental services
Contamination
Basic infrastructure and services (water, sewage services,
electrification, health, etc.)

Social group

Gender
Ethnicity
Socioeconomic bracket

Men versus women
Indigenous groups and groups of African descent versus the rest of
the population
Higher- versus lower-income (more vulnerable) groups

Source: Prepared by the authors.

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Clearly, thinking about any particular combination of dimensions and
analytical categories as a way of describing social/environmental disparities
requires considering additional dimensions and categories, even though this
complicates the challenge.
An initial territorial approach would have to examine inequalities from
the spatial point of view, considering what the inhabitants of a territory have
or lack, enjoy or suffer, in comparison with the inhabitants of another. Thus,
for example, one can compare the developed countries with the developing
countries, urban areas with rural, or a country’s wealthier cities and towns
with their poorer counterparts.
A second approach focuses on the object of analysis, or on the central
categories in which access is an issue. Thus, it examines problems of unequal
access to elements of the natural patrimony such as natural resources, safe
territory, environmental services, and so on.
Yet another possible approach is to analyse disparities between yesterday’s
generations, today’s and tomorrow’s as regards their use and enjoyment of the
various elements of the environment. This approach constructs a diachronic
view of human groups, looking not only at current social inequalities, but
at intergenerational inequalities generated by people’s considering present
needs more important than those that will confront citizens ten or twenty
years from now.
Finally, one can look at the different social groups that are affected by
social/environmental disparities or inequities.
• A look at some social-environmental disparities
Since disparities and inequities can be revealed by superimposing the
dimensions on the categories and their central issues or objects, as well as on
temporal and spatial variables, let us examine major inequities or disparities
of access to natural patrimony and environmental services as they relate to
various clusters of problems that may be important for Latin America and
Caribbean countries.
- Disparities of environmental resources and services
Disparities of environmental resources and services are persistent in
the region. As people with relatively abundant economic resources consume
environmental resources disproportionately and unsustainably, generating
environmental deficits, ecosystems lose their ability to produce environmental
services. This deepens gaps between social groups, provoking conflict in
communities and compromising social cohesion. Diminishing and deteriorating
environmental services in areas such as hydrological cycles, climate regulation,
and dilution of contaminants, affect population groups differently. The result
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is that the most vulnerable are increasingly excluded from exercising their
environmental right to a productive and safe environment.
Inequalities of environmental impact are cumulative. The results are clearly
visible today, as those places, ecosystems and populations that have suffered
most continue to take the brunt of further deterioration. This phenomenon is
evident in all territories, and the resulting inequalities are reflected in the region’s
environmental and sustainability assessments. Loss of habitat and biodiversity
is increasingly apparent in Latin America, as are the overuse and degradation
of natural resources that are economically vital both today and in the future
—forests, soils, water, coastal resources, fisheries biomass and so on.
Access to and consumption of natural resources is also unequal within
the region. Water, for example, is unevenly distributed between and within
territories. As a whole, Latin American and the Caribbean are rich in water.
Although the region represents but 15% of the planet’s land mass and contains
merely 10% of the world’s population, approximately, it has close to 40% of
the world’s freshwater reserves (FAO, 2009). There are pronounced differences
in water reserves and availability within the region, however.
- Disparities of exposure to environmental risk
The concept of risk implies inequality, because it involves not only threat
but vulnerability to threat. While threats can be due to natural phenomena (rain,
earthquake, and so on) or human ones (such as chemical spills or rupture of
dykes), not to mention concatenations of different types of threats (see Lavell,
Allan and others, 2007), vulnerability is a function of the conditions in which a
given population lives. It is due to social decisions that themselves are shaped
by inequalities, as well as by a territory’s conditions and institutions.1
Thus, although all socioeconomic groups in all countries are exposed to
natural threats, wealthy countries and higher-income groups are able to take
measures and invest in mechanisms to reduce their vulnerability. They are thus
less exposed to risk in the end. Another factor is the natural risks that affect
the fragile urban terrain where low-income populations typically live.
If vulnerability is a component of risk, society bears responsibility for
disasters. Hence, we speak of disasters of societal or social/natural origin.
- Disparities of access to a healthy environment
Not all populations have the same access to a healthy environment
free of contamination, because environmental residues and contaminants
are distributed unequally among territories and social groups as a result of


1

108

Wilches-Chaux (1993) speaks of an “overall vulnerability” that is a conjunction of social, institutional, cultural,
physical, locational, political, physical and economic vulnerabilities, among others. From any perspective,
however, vulnerability always reflects societal conditions, and is thus attributable to human action.

Social cohesion in Latin America: concepts, frames of reference and Indicators

the social and economic features of human communities. These inequalities
can be analysed with respect to different types of air, water and solid waste
contamination.
- Disparities related to climate change
The pace of climate change has accelerated radically in the last century,
and it now affects not only current life on the planet, but life for future
generations. Greenhouse gas emissions are the principal reason for the
acceleration, and it is primarily the industrialised societies, with their deep
and extensive carbon footprint, that are responsible for the emissions. The
developed countries account for approximately 70% of emissions due to the
burning of fossil fuels.
Per capita carbon emissions in the developing countries of Latin America
and the Caribbean continue to rise, essentially varying as a function of the
pace of national growth. However, emissions in 2000 were still far below the
levels seen in the developed countries (ECLAC, 2005).
Although it accounts for but a minimal portion of carbon emissions,
climate change is already affecting many countries. This has very significant
socioeconomic impact, and affects human health and welfare enormously.
Land productivity is diminishing, and environmental degradation and
desertification are on the increase. Fisheries biomasses are also affected, as
marine ecosystems change due to increasing temperatures. Meanwhile, rising
sea levels are affecting tourism and the coasts of the region’s small island
developing states.
- Urban-rural and inter-urban social/environmental disparities
Unequal access to environmental services such as clean air, and to
environmental sanitary services such as access to potable water and sewage
systems, is the salient urban-rural disparity. Rapid and uncontrolled growth
in the region’s cities has exacerbated urban-rural inequalities, as plant cover
diminishes, deteriorates and disappears. Forests are most affected, but wetlands
and other natural areas, as well as cultivated areas, also show the impact.
Environmental disparities or gaps in cities relate directly to large-scale
patterns of residential segregation. These patterns are evident in various
Latin American cities, where rich and poor, living in clearly separate areas, are
subject to quite different environmental conditions and problems, and have
access to quite different urban amenities (Sabatini, 2001). The areas where
the poorest groups live are poorly equipped and lack commerce. They are
most often near sources of contamination, and in many cases are vulnerable
to natural risks. All of this affects the general quality of life (Sabatini, F,
Cáceres, G., Cerda, J., 2001).
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Clearly, then, the potential scope for analysing disparities as a way
of exploring the relationship between environmental sustainability and
social cohesion is unlimited. Narrowing the focus requires specifying the
conceptual and empirical bridges in that relationship, which in turn requires
a methodological design.
(iii) Component 2: Environmental institutions and rights

Environmental institutions and rights can contribute to social cohesion in
Latin America and the Caribbean. Understanding this component requires analysing
the opportunities for such development, as well as the problems involved.
It is increasingly obvious that a deregulated market cannot generate either
economic stability or sustainable social development, since development is
based on the natural patrimony, and this means that infinite economic growth
is impossible. Public policy and regulatory instruments are thus needed to
distribute economic advantages and burdens, ensure sustainability, promote
social equity and develop cohesion.
Distributing the fruits of growth more equitably, distributing the present
and future costs of the welfare so generated, and gaining the support of a
nation’s society for such distribution requires an intent —and an appropriate
course of action— to regulate the way in which development unfolds, the
types of productive activity involved, and its location.
As a minimum, regulation must enforce existing national legislation in
the areas of labour, social assistance and the environment. To create incentives
and ensure that minimum standards are met in these areas requires funding
and human resources. At best, the State and its governing groups can actively
direct a country’s development towards objectives of welfare, equity and
environmental quality, as defined by policy makers, in accord with values
expressed by citizens in the electoral process.
Social cohesion in this context develops as a result of a society’s ability
to construct a legitimate structure to distribute its socio-economic, sociopolitical, socio-cultural and socio-environmental resources. Distributing
socio-environmental resources means providing universal access to basic
environmental rights and services that improve the quality of life in a
sustainable fashion (Ballón, J. 2008).
• The elements of environmental institutions and rights
- Environmental rights, institutions and policy
Since the 1992 United Nations Conference on Environment and
Development (UNCED) in Rio de Janeiro, the region’s countries have formulated
their development objectives with a view to environmental sustainability.
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Governments have dedicated financial, technical and economic resources to
creating institutions, legislation and instruments that promote the conservation
of natural resources and protect the quality of the environment. Almost without
exception, the region’s countries now have basic environmental legislation that
governs policy and often shapes environmental management. Most have an
environmental agency and basic mechanisms for environmental management,
such as licensing (based on impact assessment), and have developed environmental
regulations and other instruments in both substance and form.
The majority of the region’s national constitutions also set standards
for the State’s environmental responsibilities, consolidating a third-generation
human rights approach (Londoño, B., 1998) according to which people have
a right to a healthy and ecologically balanced environment, to development
and to peace.
In creating institutional structures for environmental policy-making
and management, the region’s countries have been guided by a principle that
emerged from the United Nations Conference on the Human Environment
in Stockholm according to which national institutions are responsible for
planning, managing and monitoring the use of the State’s environmental
resources (United Nations, 1972).
Many countries have created or strengthened ministries of the
environment, and some have also established environmental units in sectoral
agencies. This latter mechanism makes multiple institutions responsible
for protecting natural resources and environmental services, thus creating
additional oversight and enforcement of environmental policy.2
Although this would seem to be an auspicious scenario, the region’s
national environmental institutions are highly vulnerable, because they
depend on how much stress their heads of State place on environmental
issues. Their legitimacy also suffers from the fact that their areas of
responsibility and functions exceed their capacities. This makes it difficult
for them to plan, to establish priorities and goals and to monitor and assess
environmental management.
In fact, the region’s ministries of the environment generally lack the
autonomy needed to exercise their authority, since they are part of the executive
branch, which is responsible for economic and social development. This
diminishes their ability to effectively promote environmental sustainability.
2



A number of countries in the region have created sectoral environmental units to integrate sectoral
policy, planning and programming with environmental policy. Examples are Colombia (Ministries of
Transport, Mines and Energy, Agriculture), Chile (Ministries of Public Works, Housing and Urban Affairs,
Agriculture) and Peru (Ministries of Energy and Mines; Industry, Tourism, Integration and International
Trade Negotiations; Health).

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The formulation of national environmental policy in Latin America and
the Caribbean has concentrated on explicit environmental policy developed
by central environmental agencies (Giglo, 1997). Such arrangements are
reactive, since they are designed to counter problems due to production and
consumption —deforestation, soil erosion, contamination from mining and
so on. This sort of policy has had little success, since it has proven ineffective
in penetrating those sectors of the economy that exploit natural resources
and produce goods and services.
More integrated environmental policy-making is still an incipient
phenomenon in the region. Environmental institutions have little effect on
implicit environmental policy —that is, decisions made in other policy areas,
or by productive sectors, that affect the transformation of natural resources
and the provision of environmental services. Successful strategic partnerships
between productive sectors and governmental entities around environmental
policy goals are rare, as are efforts to create links between environmental
management and other areas of public policy that are especially compatible
with environmental efforts, such as potable water and basic sanitation, among
other (Rodríguez-Becerra and Espinosa, 2002).
The region also suffers from poor compliance with environmental
legislation, and from insufficient monitoring and enforcement mechanisms.
Environmental legislation and regulations must be consistent with the
institutional capacity of the agencies responsible for enforcement, so that the
agents to which the standards established in such legislation apply are credible
targets. The operational, technical, financial and institutional capacity to
enforce environmental provisions and obligations, and to exercise functions of
control and oversight is inadequate, and true political will to support standards
is lacking. This has impeded effective enforcement of environmental law in
Latin America (Rodríguez-Becerra and Espinosa, 2002), affecting citizens’
environmental perceptions and the value that they place on environmental
issues —factors that in turn impact efforts to advance social cohesion.
- Environmental management mechanisms and instruments
Public environmental spending
Environmental ministries are a recent development, and are relatively weak,
since their authority, installed capacity and funding fall short of the ideal.
Although institutions such as the World Bank advise developing
countries to invest between 1.4% and 3% of GDP in environmental
management, the figures in the region’s countries have been on the order of
0.70% of GDP (Acquatella and Bárcena, 2005). Environmental funding as
a component of national budgets advances very slowly. Indeed, the trend
was downward in most of the countries as of 2003, as these authors point
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Social cohesion in Latin America: concepts, frames of reference and Indicators

out, and as the weakness of the States’ environmental institutions reflects.
Cooperation between environmental institutions and ministries in other
areas is lacking as well. This is of particular note in relation to ministries
of finance, due to their role in resource allocation and in dismantling fiscal
mechanisms —measures sometimes useful in reducing subsidies that have
adverse effects on the environment, or on populations in territories where
productive activities occur.
- Market instruments for environmental management
Economic instruments can be a useful environmental management tool,
and the region’s countries have used them as a complement to command and
control instruments. This has helped generate funding for environmental
institutions in a context where such funds are difficult to obtain.
The countries have generally emphasised subsidised credits and
tax exemptions for environmental investments, with special attention
to investment in tourism, industry, small-scale mining and efforts to
eliminate fluorocarbons. Specific major initiatives have focused on reducing
contamination or incorporating clean technologies (Brazil, Mexico, Colombia),
on tourism (Barbados), on reforestation (Chile, Colombia) and on controlling
mercury discharges in small-scale mining (Ecuador) (World Bank, 1998).
Other initiatives have charged companies for using natural resources
to produce minerals and hydroelectric power. The money thus generated
has been used to fund regional environmental agencies and to compensate
municipalities where the activities take place. Mexico, Colombia, Brazil and
Ecuador have taken advantage of economic instruments such as water use
and pollution fees, though pressure from actors in the relevant sectors has
succeeded in reducing and eliminating such charges.
Conventional taxation has also been used. In Colombia, a percentage has
been added to the property tax levied on regional autonomous corporations (Canal
and Rodríguez, 2008), and Brazil has imposed a green value-added tax.
Finally, the region’s countries have urged businesses to implement
environmental management systems (EMSs) in order to promote self-regulation
and harmonise environmental management standards under ISO 14000.
(iv) Component 3: Participation and sense of belonging

Social cooperation, a society’s ability to resist fragmentation and
its ability to move towards full social inclusion and cohesion depend
on the sense of belonging. Belonging, in turn, is closely associated with
the development of individual and collective identity in groups that
share cultures, values and principles that foster social relations, although
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peculiarities and differences in the sense of belonging are also seen (Sabatini,
2008). A recognised collective identity is essential to personal welfare, social
cohesion and environmental protection.
In the context of environmental sustainability, belonging consists
of people’s manifestations of feeling connected to and identified with a
geographical area and with a variety of cultural dynamics that place value
on the environment and its conservation —not as an economic issue, but as
a social phenomenon of respect for the natural system of which a human
group living in a territory is a part. In other words, environmental sustainability
depends on the extent to which people are able to value their environment3—
something that varies from place to place and over time.
Collective identities can be territorially specific or horizontal. They
develop over time, reflecting a group’s collective experience as it lives together
and constructs its collective imagination, interpreting past experience and recreating it in memory. Groups have origin or founding myths that distinguish
them from others, and shared visions of the future. As a group lives together
in a physical setting, it constructs social relationships whose meaning is shared
(culture), and defines the bounds of its specific territory or environment
(Sabatini, 2008).
• Components of participation and the environmental sense of
belonging
- Territorial identity
Human beings construct their identities in a matrix of relationships
(family, ethnic group, religion), some of which involve ties with a territory.4
In communities whose economic base and world view are intimately tied to
a territory, the territory serves as the foundation for social processes that
reproduce culture, identity and the local way of life.5 It constitutes a space in
which different actors can organise to influence decisions6 designed to protect
the environment or promote sustainable development, among other things.
Identities and the sense of rootedness can be of various types and
intensities, depending on a community’s fundamental interests, and on its
isolation from or integration with the larger society. Sabatini (2000) points
to these two elements in defining a territorial community as a “human group
that shares a territory in which it interacts on an ongoing basis, giving rise to
European Union. Agriculture: rural development. Leader+ initiative.

Boisier, Sergio, 2005, “Crónica de una muerte anunciada. Globalización, estrategias globales y estrategias
locales”, Polítika, Revista de Ciencia Política, no. 1, December.
5

Arocena, J. (2001), El desarrollo local: un desafío contemporáneo. Montevideo: Taurus.
6

Klein, J. L. (1997). “L’espace local à l’heure de la globalisation: la part de la mobilisation sociale.” Cahiers
de géographie du Québec, 41, 114, pp. 367-377.
3
4

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Social cohesion in Latin America: concepts, frames of reference and Indicators

a system of living composed of social, economic and cultural relationships
that on one hand tend to generate traditions, community interests and feelings
of rootedness, and on the other signify variable degrees of integration or
isolation with respect to the larger society.” The interests on which a territorial
community is based fall into two categories: interest in the habitat as the basis
for the quality of life, and interest in maintaining systems of living and local
customs. Territorial identity, feelings of rootedness and the sense of belonging
that occur in a community are of key importance in generating environmentfriendly values and attitudes, social cooperation and a capacity to defend the
community’s environmental rights and resolve environmental conflicts.
- Environment-friendly values and attitudes
People have differing attitudes to environmental subjects and problems.
Individuals may be predisposed in favour of the environment and support
specific initiatives to protect it, such as measures to preserve biodiversity or
recycle waste.
Knowledge of environment-friendly attitudes and values is important in
designing and evaluating both general environmental policy and interventions
to change patterns of natural resource management in specific communities.
It is sometimes useful for environmental intervention policies or programmes
to focus on changing environmental values and attitudes.
Progress in measuring environmental attitudes and behaviours in
Latin America is important, for the region lacks the information needed for
comparative purposes.
- Citizen participation and environmental governance
Promoting social cohesion means strengthening institutional instruments of
social integration and encouraging collective action. The participation of citizens
around individual and collective rights is essential to generating social cohesion,
resolving environmental conflicts and achieving sustainable development.
Citizen participation can take place in different contexts, two of which
are of special interest here. First, it can take the form of membership in
environmental organisations and social networks that defend environmental
interests. Actors come together in these contexts to exchange resources,
negotiate priorities and make decisions that promote common objectives. A
proliferation of environmental organisations, producers of goods and services
and professionals in Latin America now defend public interests, vying with
agencies that until recently seemed to have a monopoly in this area. There is a
window of opportunity for society here, and in it are appearing social networks
where actors who share an interest in an issue can coordinate horizontally,
negotiate and agree on solutions (Messner, 1995). This process depends on
a collective identity based on shared values, interests and motivations.
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Second, participation can take the form of collective mobilisation
around a given environmental conflict that affects a community, even if the
community is not organized beforehand. Writing on popular mobilisations
around environmental conflicts, Sabatini (2004) notes the temporary and
instrumental nature of citizen participation. In general terms, such movements
unfold in a political context, representing popular interests or particular sectors
through strategies such as demonstrating, publicising problems and creating
conflict (Santana Cova, 2005).
The processes of social cohesion cannot be consolidated without
active participation by public and private actors to ensure the integrity of the
environmental patrimony.
(v) Horizontal component: Social/environmental conflicts and
social cohesion

We now turn to the relationship between social/environmental
conflicts and social cohesion. Our central assumption here is that the
handling of conflicts affects social cohesion, since conflicts generate
change in societies by changing individuals, their forms of organisation
and a society’s institutions.
Social/environmental conflicts arise from human relationships and
from people’s relationship to nature. Human beings’ relationship to nature
includes their management of natural resources and the environment, and it
can be such as to jeopardise not only social cohesion but the very presence
of life on the planet.
Until a few decades ago, efforts to address environmental conflicts
focused on developing governmental standards and agencies. Conflict has
increased, however, with shocks due to scarcity of natural resources, problems
of unequal distribution and a deteriorating natural resource base. In this
context, society has lately developed conflict resolution mechanisms based
on a new type of environmental governance.
Participatory forms of environmental conflict resolution have emerged
and constitute a significant advance. As people gain access to information
and their views are considered in decision-making, their sense of social
belonging increases and social gaps can diminish. On the other hand,
essentially formal and instrumental mechanisms of participation7 can have
negative effects, separating communities from their government rather than
bringing them together.

7



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Chile’s environmental impact assessment system has been variously criticized on this account.

Social cohesion in Latin America: concepts, frames of reference and Indicators

- The relation between social cohesion and conflict
Promoting social cohesion requires reducing economic, social and
political disparities by strengthening institutional mechanisms of social
inclusion —ideally, promoting a sense of belonging in the process. In
other words, social cohesion is accompanied by reduced levels of conflict
in a society.8
Note that there are positive and negative conceptions of conflict. One
view is that conflict is dysfunctional and should be eliminated, or that proper
conflict management leads to the disappearance of conflict. The contrasting
point of view, based on various psychological, social and political theories,
is that conflict is an engine of social and personal development.9 Without
conflict, in this positive view, societies would not develop and generate new
institutions, and groups and individuals would be unable to respond to new
social demands.
From this perspective, not only cooperation, but conflict between groups
with different interests, is essential in understanding the dynamics of social
change. It is precisely the existence of these interests and the conflicts between
them that shape the social world. No solution to a social conflict totally solves
the conflict or fully satisfies the parties to it. The social dynamic produces
cycles: solutions have life cycles, conflicts evolve, new conflicts arise.
- Dimensions of social/environmental conflict
Given globalisation, and an age that stresses the recognition of diversity,
it is important as a starting point to take account of the fact that environmental
conflicts interact with the factors that shape them and make them complex,
namely, historical, cultural, economic and social factors, management of
knowledge and institutional and political dynamics.
From a historical point of view, environmental conflicts arise from
how a society organises its territory. Depending on social relationships, these
patterns can foster either deterioration or conservation. Latin American
societies show different tendencies in this respect. Some societies live
harmoniously with the cultural practices of indigenous peoples, while others,
which industrialised early, have only minimal populations of indigenous or
African descent. Conflict between Eurocentric lifestyles and lifestyles of
indigenous or African origin are a salient feature of yet other societies, which
8



9



The question of integration and conflict was a major focus of sociological debate. One work on conflict
theory that played a key role in attempting to get beyond this debate was Coser Lewis’s The Functions
of Social Conflict (Free Press, 1956), which sees conflict as positive for society, since it has benefits such
as bringing adversaries together.
A multidisciplinary synthesis of the different approaches and types of conflicts can be found in Redorta,
Joseph, Como analizar los conflictos, Editorial Paidós, Buenos Aires, 1956.

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tend to be destructive of indigenous and African-based forms of social
organisation and life.
Culturally speaking, coexistence and conflict persist between world
views that regard nature differently. Some of these centre on economic
growth, while others express themselves in protests by ethnic groups. Groups
and countries adopt their own educational and cultural policies to address
these problems, as a function of their realities and level of growth. Conflicts
range from differences over customs and world views to disputes over territory
and over the recognition of rights, including indigenous rights, and the rights
of communities more broadly.
Economically speaking, styles of production, consumption and trade
are a function of national norms and international factors, which shape
forms of trade and financing. These styles affect the maintenance of the
natural resource base. Economic and financial globalisation has increased
environmental conflict in the region, which arises around megaprojects in
forestry, farming, mining and infrastructure construction.
As a function of its management of knowledge, each group, institution,
country and region has developed its own knowledge and information, and
has created nodes of knowledge creation and distribution in a way that
facilitates or impedes good decision-making regarding the management
of social-environmental conflicts. The creation of knowledge for conflict
management, and access to the knowledge, are essential not only for dealing
with conflicts, but for establishing abiding mechanisms that create a sense
of belonging. Creating and providing access to such knowledge depends on
appropriate institutions and mechanisms, which are not equally developed in
Latin America’s different countries.
Each country’s environmental dynamics have led to environmental
institutions and conditions that place constraints on the public, private,
domestic and international sectors as their activity relates to the environment.
It is these dynamics that generate capacities to react, anticipate, prevent and
manage social-environmental conflict.
Finally, environmental decisions are made in a context of political give
and take. Pressure groups and social actors exercise their rights and seek
to further their interests by fighting for resources via democratic, pseudodemocratic and participatory means, as well as through social pressure.
Developing a conceptual framework to deal with the relationship
between social-environmental conflict and social cohesion clearly requires
exploring these different dimensions, taking account of the fact that two or
more are at work in some territories.
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(d) Proposed indicators of the environmental sustainability of development
and social cohesion

Both progress and major challenges in regard to sustainability in Latin America
and the Caribbean must be taken into account in defining the area in which
indicators must be developed if they are to capture the specifics and the overall
patterns of environmental sustainability as it relates to social cohesion.
In practice, tools for measuring progress or deterioration in the
sustainability of development have not derived from academic or philosophical
agreement, or even from recommendations by indicator experts. Rather, they
have emerged as a sort of “bottom line reality” phenomenon, a response to
the actual availability of more or less reliable statistics from the countries.
Statistics in this area have arisen as sporadic occurrences without organic
integrity, normally evolving over time towards systems of environmental
statistics that are integrated with the region’s national statistical systems.
With a few exceptions, environmental statistics10 are still an incipient
phenomenon in the region, covering only a part of the broad spectrum of
dynamic, complex and changing environmental phenomena present around
the region’s territories. As of 2009, what is available is rather simple basic
statistics, plus a few indicators that can be calculated systematically by a
significant number of the region’s countries. These indicators generally concern
environmental conditions and trends, and are not necessarily capable of
capturing even partially the environmental sustainability of development.
With a sustained process of capacity building in the region, it will
eventually be possible to combine these existing basic environmental
statistics and indicators with economic, social and demographic statistics,
providing more complex information that is capable of throwing light on
the sustainability of development in the region.
Thus, thinking through environmental indicators relating to social
cohesion is a challenge in light of the relevance and importance, not to
mention urgency, of the phenomena of sustainability that are major factors
in the region.
Below, we present a very synoptic view of a limited number of indicators
designed to provide a window on social cohesion in a way that includes
minimum considerations of environmental sustainability.



10

The term “environmental statistics” is used here in its broadest sense, i.e., to include basic statistical
series, indicators and integrated economic environmental accounts.

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Given their aim, the proposed indicators have been subjected to
an exhaustive review to determine their statistical viability. The resulting
preliminary list is consequently usable immediately in a significant number of
the region’s countries. Further indicators will require time and work before
they can be systematically implemented by national governments. These will
appear on a second list.11
Metadata on the indicators proposed below appear in other publications
by ECLAC and in the United Nations Statistics Division. Where this is not
the case, we have explained how the indicators are calculated.
(i) Environmental patrimony and social cohesion: assessing the
loss of natural resources and biodiversity, and levels of waste
matter and contamination

As mentioned above, a number of major sustainability problems
affect social processes in the region. They can be classified in two broad
groups: relationships that arise from the appropriation of natural resources
and environmental services by human societies and economies (hence, the
importance of attempting to capture the dynamics of changing resources), and
relationships that result when human societies put solid, liquid and gaseous
wastes from production back into the environment.
Of course, the principal problems and possible indicators to monitor
them should be related in a way that is directed at the sustainability of the
natural patrimony and the environment as these affect the process of fostering
social cohesion. Given the need to select a very limited number of indicators,
a group of three is proposed to throw light on the principal challenges to
the sustainability of the natural patrimony, which is a sine qua non for human
processes and social cohesion.
Proposed indicators
1. Proportion of surface covered by forests (MDG indicator 7.1)
2.Energy intensiveness of GDP
3. Renewability of energy supply



11

120

The statistical viability is the result of years of work in which the ECLAC Division of Statistics and Economic
Projections has provided technical support and worked with the region’s countries to build their capacities
through various initiatives. These include REDESA, BADEIMA, work on the supplementary MDG7
indicators, technical assistance for the ILAC indicators of the Forum of Ministers of the Environment of
Latin America and the Caribbean, and statistical work for the interagency MDG7 report on Latin America
and Caribbean that is currently coordinated by ECLAC.

Social cohesion in Latin America: concepts, frames of reference and Indicators

(ii) Disparities of access and distribution

This component includes indicators of very different kinds, designed
to measure inequalities in various areas: access and use of natural resources,
access to environmental services, concentration of contaminants and
environmental quality. Each of the proposed indicators compares territories
in different world regions, countries, subnational regions, and urban and
rural areas, or in different municipalities within metropolitan areas. Ideally,
some indicators should also reflect the distribution of poverty, contrasting
the poorest and richest quintiles.
We also propose to incorporate ecological footprint12 in measuring
disparities, as an indicator of inequality between developed and developing
countries in terms of their consumption of natural resources, and their impact
on the planet’s environment as a whole.
Proposed indicators
1.Ecological footprint by country and subnationally
2.Energy intensiveness of GDP
3. Green areas per capita in major urban areas (map showing contrasts, and
index consisting of the ratio of green area per capita in the municipality
with the least green area to the green area per capita in the municipality
with the most)
Note: We also suggest investigating the possibility of processing the potable water and
sanitation indicators that are suggested as indicators of social cohesion, to show their
Q1/Q5 (highest to lowest quintile) ratios.

(iii) Environmental institutions and rights

The indicators for this component are designed to measure the
opportunities and challenges involved when the region’s countries develop
environmental institutions and make efforts to guarantee the exercise of
environmental rights in the context of improving social cohesion. They
reflect the level of development of the various environmental institutional
structures designed to enforce environmental rights; the States’ capacity
to make policy and plan, and to establish standards and regulations for
environmental preservation; compliance with and enforcement of the
countries’ existing environmental legislation, and the States’ capacity to
monitor environmental conditions.
Another important factor to explore is the countries’ institutional
mechanisms for consolidating processes that further environmental
12



The method of calculating ecological footprint was developed in 1996 by Mathis Wackernagel and
William Rees.

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sustainability, for making use of environmental management instruments,
for ensuring that businesses meet their environmental responsibilities and
for funding environmental public spending.
In light of the need to reduce the number of indicators to a minimum,
we propose an indicator analogous to social public spending —one that
measures public-sector spending to protect and manage the environment at
the national level. Although this indicator has only recently been created in a
few of the region’s countries, its use is spreading, and we may expect to see
it become an official statistic in an increasing number of nations.
Proposed indicator
1. Environmental public spending as a proportion of GDP

(iv)Participation and sense of belonging: instruments to measure
environment-friendly knowledge, attitudes and behaviours

The last three decades have seen the construction and testing of various
scales designed to investigate environmental attitudes and behaviours, and to
explore the relationship of these factors to values, behavioural predispositions
and other mediating factors. Nearly all of these instruments have been created
by researchers in developed or industrialised countries —Spain in a number
of cases.
Our review found no instruments specifically designed to measure
environmental attitudes in Latin American or Caribbean countries, and the
existing survey instruments contain items that must be adapted to be useful for
the region. If, even after such adaptation, these scales should prove inadequate
for measuring environment-friendly knowledge, values, attitudes and action
in Latin American populations, it would suffice to perfect the language of
the questionnaires and adopt the appropriate regional or national syntax and
vocabulary, and then pre-test the instrument a number of times to ensure
that informants understand everything fully. More important than this issue,
though, is the fact that the coverage and thematic emphasis of the existing
instruments is inadequate for our regional setting.
Latin America’s environmental problems have their own intensity and
nature. Presumably, environmental perceptions, awareness, attitudes and
behaviours in the region are also distinctive, particularly given the probable
relationship between socio-demographic factors and the information
that people have, as well as the values and cultures in the midst of which
individuals in our countries live. Consequently, an original, or ecometric,
Latin American instrument is needed. Developing one obviously requires a
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Social cohesion in Latin America: concepts, frames of reference and Indicators

programme of research to construct, validate and pilot test an instrument
at the regional scale.
The main issues on the environmental agenda in Latin America and the
Caribbean concern the over-exploitation of resources, with the resulting harm
to biodiversity and the resulting degradation or exhaustion of a variety of
natural resources, plus some issues of urban contamination and the fact that
populations in precarious settlements are particularly vulnerable to natural
disasters. In addition, lifestyles and styles of development in North and
South are markedly different. Consequently, questionnaire items exploring
behavioural intentions in a three-dimensional model of attitudes, if they are
to provide significant information, must be designed to include elements that
have meaning in the everyday life of the groups being studied. For example,
questions about heating in our countries should focus on what fuels are used
(kerosene, wood, gas, and so on), rather than on the intensity of the heating
(usually central heating), which is more relevant in the developed countries.
Similarly, responses in our region on intended or reported behaviour, as
well as on people’s information, knowledge, beliefs and values, can be expected
to correlate with material poverty and unequal access to information and
opportunity. This poses major methodological challenges for the construction
of questionnaire items, for in answering questions on what fuel they use,
Latin American informants are more likely to be influenced by their monthly
budget than by their attitudes or feelings about the environment (or even
about their own health).
Therefore, after analysing the possibilities of the existing instruments
and the obstacles to their use, an original instrument should be designed and
implemented that can better describe and measure environmental attitudes
in Latin American countries, as difficult as it may be to design and validate
such an instrument.
Proposed indicators

Neither our countries nor the region regularly measure pro-environmental
behaviour, attitudes and the like —or even participation in environmental
activity— so pending further developments, it is impossible to propose a list
of statistically viable indicators in this area.
At the global level, however, a new indicator has recently been developed
that could be used —although in a very limited way— to measure the sense
of identity, belonging and participation in relation to the environment and
quality of life. This is the Happy Planet Index (HPI) developed by the New
Economics Foundation.
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The HPI combines human welfare with environmental impact, as a
way of measuring the environmental efficiency required for long and happy
living. The index does not measure happiness, but the relative efficiency with
which a nation converts the planet’s natural resources into long and happy
lives. The nations with the highest scores demonstrate that it is possible to
live long and happily without over-stressing natural resources.
As a measure of efficiency, the HPI quantifies level of satisfaction per
unit of environmental impact. It is calculated on the basis of three indicators:
life expectancy, the satisfaction with life that the citizens of a country express
and their ecological footprint.
Happy Planet Index:


Well-being * life expectancy
Ecological impact

We recommend adopting this indicator for the Latin American countries,
and comparing it overall with that of the European Union countries.

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Klein, J.L. (1997), “L’espace local à l’heure de la globalisation: la part de la mobilisation
sociale”, Cahiers de géographie du Québec, vol. 41, No. 114.
Lavell, Allan and others (2004), “Conceptos y nociones relevantes para la gestión del
riesgo”, unpublished.
Londoño, B. (1998), Nuevos instrumentos de participación ambiental, Bogotá, Consultoría
Ambiental y Colectiva.
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política”, Centre for Development Studies (CENDES), unpublished.
Quiroga, Rayén (2007), “Indicadores ambientales y de desarrollo sostenible: avances
y perspectivas para América Latina y el Caribe”, Manuales series, No. 55 (LC/
L.2771–P), Santiago, Chile, Economic Commission for Latin America and the
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Redorta, Josep (2003), Cómo analizar los conflictos, Paidós, Buenos Aires.
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Caribe. Evolución, tendencias y principales prácticas, Washington, D.C., Inter-American
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Sabatini Francisco (2008), “Rol (y producción) de las identidades sociales y territoriales
en la sociedad contemporánea”, document presented at the workshop “Análisis
prospectivo. Evolución del sistema ‘cultura, identidad y cohesión social’ de la
Región de Coquimbo al 2020”, La Serena, 24 July 2008.
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(EURE), vol. 27, No. 82.
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Building bridges between sustainable development and social cohesion

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Chapter V

The feasibility of constructing a synthetic
index of social cohesion for Latin America
Roxana Maurizio

A. Introduction1

Synthetic indices of inequality, poverty and multidimensional welfare have
become increasingly popular, both in academia and among policy makers.
This has been accompanied by a broad-ranging debate about how to use
multi-dimensional approaches to design a synthetic index that effectively
describes the multiple dimensions which affect levels of deprivation, poverty
and welfare.
Kolm (1977) formally proposed multidimensional analysis of inequality
as an approach stemming from a set of generalisations of the Pigou-Dalton
transfer principle and applying them to the multivariate context. Following
this line of thinking, Atkinson and Bourguignon (1982) developed dominance
criteria to identify the conditions on the basis of which a given multivariate
distribution is more (or less) egalitarian than another.
However, empirical findings indicate that the dominance criterion is not
always met in the multidimensional context, which leads to an incomplete
ordering of the distributions. Synthetic indices accordingly become more
1



Ana Paula Monsalvo collaborated in producing this document, which also reflects the valuable and much
appreciated comments of Luis Beccaria, Juan Carlos Feres, Pablo Villatoro and Arturo León, as well as
those of the participants in the experts’ workshop entitled “Towards a synthetic index of social cohesion
in Latin America?”, which was held on 2 September 2009 at ECLAC headquarters in Santiago, Chile.

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important in such cases, since they ensure a complete ordering by reducing
to a real number all the information contained in each distribution of the
attributes considered.
Constructing an index of this sort entails a series of important
methodological decisions that can significantly affect the results of the process.
Consequently, the literature on this subject agrees that such construction must
obey rigorous technical criteria as well as be based on a solid and explicit
theoretical foundation.
There are currently a number of strategies for the conjoint analysis of
multiple dimensions. They vary in how they aggregate, transform and weight
the attributes considered. From different perspectives, but generally based
on Sen’s capacities approach (1985, 1987), they have created indicators that
attempt to assess degrees of inequality, poverty and social exclusion from a
multidimensional point of view.
Along this line, some international and regional organisations, such
as the United Nations Development Programme (UNDP), Inter-American
Development Bank (IDB) and European Commission, have urged the use
of some composite indicator of human and social development. In Latin
America and the Caribbean, there have been initiatives to conceptualise and
measure social cohesion. ECLAC, in particular, has developed a concept of
social cohesion that takes account of the complexity of the phenomenon,
defining it as the dialectic between mechanisms of social inclusion and
exclusion, and citizens’ responses and perceptions to the way in which these
mechanisms operate (ECLAC, 2007).
As that ECLAC publication mentions, globalisation, and factors such
as technological change and the demands of competitiveness, have heavy
economic, social and cultural impacts at the national level, and can undermine
the foundational elements of social cohesion, aggravating social inequalities
and gaps, as well as the very sense of social belonging and affiliation. This
places more of a burden than ever on policies to increase social cohesion:
they are not only more important, but must be more complex.
Relevant and timely information based on rigorous methodological
criteria is one of the starting points for designing measures and making
good decisions in this area. It is with this in mind, and with support from
the EUROsociAL program of the European Commission, that ECLAC has
constructed a system of indicators for monitoring social cohesion in Latin
America. The core of the system has three dimensions, or pillars: (i) disparities,
or gaps, (ii) institutional mechanisms of inclusion/exclusion and (iii) the sense
of belonging. These three pillars, which in turn are based on a conceptual
scheme that includes the objective processes of inequality and exclusion as
well as the perceptions and responses of actors to these processes.
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Social cohesion in Latin America: concepts, frames of reference and Indicators

The “disparities” component is designed to provide information on the
objective gaps that are symptoms of social exclusion in the region. Specifically,
this dimension reflects the material living conditions of groups who are
excluded from access to resources and opportunities, to basic social activities
and who are prevented from exercising their basic rights. These conditions
represent disparities with respect to groups that are not excluded, or with
respect to normative thresholds. As we shall see, some of the dimensions
of such disparities are employment, poverty, income, social protections,
education and health.
The “institutional mechanisms” component includes the actions of
institutional actors that can have an intentional or unintentional impact on the
processes of social inclusion and exclusion. The functioning of the democratic
system and the rule of law are important here, as are public policy and the
functioning of the market.
Finally, the “belonging” pillar is composed of the various ways in
which citizens identify with, and have ties with, the larger society and the
groups making it up (ECLAC, 2007). Factors here include multiculturalism,
non-discrimination, social capital, expectations for the future and sense of
integration, among other indicators.
There are various kinds and directions of relationships among the
system’s different components and variables, and they can change over
time. The selection of indicators presented here is based on the relevance,
quality, availability and cross-country comparability of information on
such relationships.
Our aim in this chapter is to assess the feasibility, relevance and
importance of creating a synthetic index of social cohesion for Latin America
and the Caribbean, using this system of indicators for the region’s countries as
a framework. In doing so, we must bear in mind that, as mentioned above, the
conceptual and empirical problems involved in constructing multidimensional
indices have not been fully solved. Pending issues include the selection of
dimensions, the indicators’ construction and means of measurement, and how
they are to be aggregated and weighted. While the first two of these issues
are relevant even to one-dimensional indices, the latter two are specific to
multidimensional analysis, and it is on them that we shall focus here.
Approaching this problem requires taking account of the complexity
of the concept of cohesion itself, and considering whether a broad set of
data can be included in a single composite indicator without losing valuable
information. The validity and relevance of such an index as a support for
social policy-making is also subject to debate.
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Below, we examine different methodological approaches to multidimensional studies. Section B focuses on conceptual issues in constructing
synthetic indices of social and human development. Section C broaches the
construction of a synthetic cohesion index based on the ECLAC indicators,
evaluating different methodological strategies for the purpose, and the
robustness of their results. Section D brings all of this together to discuss what
possibilities, advantages and limitations could come into play in attempting
to reduce the multiple dimensions of social cohesion to a representative and
comparable synthetic index for the region’s countries. Section E presents
final conclusions.
B. Alternative approaches to the conjoint analysis of multiple
dimensions

The international literature offers a variety of methodological strategies for
the multidimensional analysis of inequality, poverty and welfare. According
to Brandolini (2007), they can be classified according to the degree to which
they aggregate the multiple dimensions being studied —ranging from those
that analyse each attribute separately, to those that bring all their information
together in a single synthetic index. The following diagram represents these
different approaches schematically.
■■

Diagram V. 1

Methodological strategies for multidimensional analysis
Independent analysis
of individual attributes

Reduction of dimensions;
stochastic dominance

Vector dominance

Dominance criteria

Multivariate analysis

Single-stage strategies
Synthetic indices
Two-stage strategies

Source: Prepared by the author on the basis of Andrea Brandolini,  “On synthetic indices of multidimensional well-being:
health and income inequalities in France, Germany, Italy, and the United Kingdom”, Working Papers, No. 07/2007, Centre for
Household, Income, Labour and Demographic economics (CHILD), 2007.

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Three specific types of strategies can be identified, based on their levels
of aggregation: (i) strategies that analyze each of the univariate indicators
independently; (ii)  intermediate strategies that reduce the number of
dimensions or employ dominance analysis, and (iii)  complete aggregation
strategies. We now turn to each of these.
1.

Independent analysis of individual attributes

This type of strategy independently analyses each of the characteristics
of the dimension being studied (e.g., inequality or poverty). Thus, it does
not attempt to reduce the number of variables. One important aspect of
these strategies is that they can analyse patterns of positive or negative
correlation between individual attributes, and between the attributes and
other variables associated with, though not a part of, them (e.g., a country’s
level of economic development).2
As Brandolini (2007) explains, the advantage of this type of approach
is its methodological simplicity. It does not require a priori assumptions about
behaviours or patterns, and does not involve any loss of information. The
disadvantages are a lack of synthesis, which becomes more severe as the
number of dimensions being considered increases, the possibility of overlaps
or redundancies of the information contained in the indicators and the
difficulty of arriving at clear conclusions when working with many indicators
and/or when attempting to compare a large number of countries.
This type of analysis, along with, for example, analysis of distribution
functions or conjoint density functions, can be a first step in creating a
synthetic index, for it generates valuable information about the behaviour
of the different attributes considered.
2.

Comparison of vectors, reduction of dimensions and stochastic
dominance

This group of strategies can be construed as an intermediate level of
aggregation that does not attempt to entirely reduce all of the dimensions
into a single index. These strategies cover a range that includes one-toone comparison of vector elements, the extension of dominance criteria
for the multidimensional context, and different statistical techniques of
multivariate analysis.

2



Sen (1985 and 1998) and Fahey and others (2005) provide examples of this strategy.

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(a) Vector dominance

 The vector dominance strategy is based on an element by element
comparison of the vectors corresponding to the different dimensions under
consideration. In comparing the achievements of two individuals, for example,
vector A dominates vector B if, for each of its elements, a j ≥ b j , with j =
1,2,…k being the k attributes under consideration.
The advantages of this method include zero information loss, minimal
constraints on data, and the fact that it is simple to use. The most significant
drawback is that, like any ordinal indicator, it does not always ensure
complete ordering, especially if the set of attributes is large. Gaertner (1993),
for example, notes that in his multidimensional study of 130 countries,
vector dominance is present in at most 25% of the comparisons between
pairs of countries previously grouped according to national political or
economic features.
(b) Dominance criteria

 This method is a more sophisticated version of vector dominance. It
extends Lorenz’s dominance criterion to the multidimensional context along
lines explored by Kolm (1977), Atkinson and Bourguignon (1982, 1987),
Atkinson (1992), Jenkins and Lambert (1993) and others. There have recently
been important advances in constructing a test of stochastic dominance for
the analysis of multidimensional poverty (Bourguignon and Chakravarty, 2003;
Atkinson, 2003; Duclos and others, 2006) as extensions of the techniques
developed for the one-dimensional context by Atkinson (1987) and Foster
and Shorrocks (1988a and 1988b).3
The advantage of this type of approach is that it takes account of
the structure of the correlations between the different dimensions, which
explicitly differentiates it from univariate techniques. However, the cost of
the low information requirement, as with vector dominance, is the possibility
of an incomplete ordering.
(c) Multivariate statistical analysis

 In the context of concern to us here, these techniques are used primarily
to help interpret multiple attributes, either by using statistical tools to reduce
the number of dimensions, or by creating relatively homogeneous groups
in the dimension of interest. Multivariate techniques take account of the
structure of correlations between the different attributes. Thus, even in
3



132

Tests of statistical inference associated with tests of stochastic dominance have also been developed.
Some of these are based on the classic asymptotic theory, while others use the non-parametric
bootstrap technique.

Social cohesion in Latin America: concepts, frames of reference and Indicators

an exploratory phase, they can streamline the construction of a synthetic
index. The multivariate techniques most commonly used for this purpose are
cluster analysis, principal components techniques, correspondence analysis
and factor analysis.
Cluster analysis is generally used to relate observations in homogeneous
groups, but it can also be used to associate variables in order to reduce
dimensions. Using it requires making three important decisions. The first is
to select a measure of distance or similarity between the objects or variables
being considered. (If the variables are quantitative, they constitute a correlation
matrix; if categorical, a chi-square distance matrix). Secondly, one must decide
what method to use for the clustering. One may begin with a certain number
of clusters and then group them in a way that is, from a chosen point of
view, optimal, or one may do the reverse —begin with a single cluster and
divide it repeatedly until the optimal number is reached. Finally, one must
define the scale of “tolerance” to distance that determines the final number
of groupings considered.
The principal components (PC) technique makes it possible to determine
whether it is feasible to use a smaller number of components to represent the
information contained in the k dimensions. This is the first step in identifying
latent variables and ultimately transforming the original correlated variables
into a smaller number of uncorrelated variables. A similar technique that
applies to qualitative data is correspondence analysis, which summarises the
information in a contingency table. In other words, it represents the variables
in a space of fewer dimensions. This procedure is analogous in a sense to
the principal components approach, but it defines the distance between the
points in a way that is consistent with the interpretation of the data.4
Finally, there is factor analysis (FA), which identifies latent or unobserved
variables (called factors) based on the observed dimensions. Although this
technique shares some aspects of PC, there are also important differences
between the two. The most significant is that while PC is constrained by the
nature of descriptive statistical techniques, FA assumes a formal statistical
model. The main advantage of the latter approach is that it reduces the number
of dimensions, making it easier to understand the object being studied through
a small number of new variables deduced by using statistical correlation
structure techniques. The main problem with factor analysis is that it does
not always generate a clear and direct economic interpretation.

4



Specifically, rather than using the Euclidean distance, it uses the chi-square distance.

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3. Multidimensional synthetic indicator

Finally, strategies to associate a real number to a multivariate distribution fall
into two categories, depending on which of two methods they use. The first
—the single-stage method— directly assesses an entire population’s welfare,
inequality or poverty, without prior assessment at the individual level. As
Brandolini (2007) mentions, this research area has recently growth rapidly.
Examples can be found in Tsui (1995, 1999), Bourguignon and Chakravarty
(2003), Atkinson (2003) and Maasoumi (1999), among others.
On the other hand, the distinctive feature of the second approach
is its two-stage process for constructing the index. First, one obtains the
composite indicator for each individual, and then one uses traditional
univariate techniques to obtain the multidimensional indicator of inequality
or poverty for the entire population. Maasoumi (1986) provides one example
of this, using information theory to define the functional form of the welfare
indicator. An alternative formulation by Bourguignon (1999) provides a
further example.
These methods have the clear advantage of permitting a complete
ordering. What distinguishes them is that the second has to initially specify
the welfare indicator at the individual level, and only then apply some
univariate technique to the distribution of the variable, while the first uses
multidimensional indicators without aggregating attributes at the individual
level. Thus, they avoid specifying the indicator’s functional form.
It is important to understand, then, that the first method directly
constructs a multidimensional indicator of inequality or poverty, while
the second applies an index of one-dimensional inequality or poverty to a
multidimensional measure constructed at the individual level.
To conclude, let us note that the initial task in studying multiple
dimensions is to define whether all the information is to be collapsed into
a single value, or whether the dimensions that make it up are to be kept
separate. As mentioned above, each of the strategies has advantages and
disadvantages. On one hand, aggregation mechanisms may involve a loss of
information, and they are affected by a certain arbitrariness in the selection
of the mechanism. On the other hand, a synthetic indicator may be a very
effective way of bringing together a number of dimensions and complex
processes. This makes it easier to communicate findings, and facilitates
decision-making for policy-makers.
Taking all of these considerations into account, the next section focuses
exclusively on the conceptual and methodological issues of constructing
synthetic indices in multidimensional contexts.
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Social cohesion in Latin America: concepts, frames of reference and Indicators

C.  Methodological issues in constructing synthetic indicators of
social and human development

Suppose that our objective is to analyse the multiple dimensions that are
determinants of inequality, poverty, welfare or human development in
a society composed of i = [1,2….., n] individuals, regions or countries,
where j = [1,2,…..K] are the attributes that constitute the multidimensional
indicators. According to Decancq and Lugo (2007), it is possible in formal
terms to define a multidimensional indicator for each individual (or region,
country, etc.) as:

where xk represents the value that dimension j assumes, with k =
1,…..,K for individual i , wk are the weighting factors assigned to each
dimension (which are not negative, and which are generally assumed to sum
to unity, so that the denominator = 1) and β is the parameter that governs
the degree of substitution between the attributes.
The multidimensional indicator Si ( X β ) is thus defined as the
weighted sum of order β of certain transformations I j ( x j ) of the
attributes being considered.
Clearly, constructing such an indicator requires defining (1) the
transformation function, (2) the degree of substitution between each pair of
dimensions and (3) the weighting structure. Below, we analyse each of these
components in detail.
1.

Transformation functions

As Decancq and Lugo (2008) explain, a transformation function in the
multidimensional context should satisfy two minimum requirements. First,
since the attributes are measured in different units, they must be translated
into a common scale for aggregation. Second, the functions should avoid
assigning high relative importance to extreme values if the original distribution
has extreme values.
Expression [1] can be used to construct a multidimensional indicator
either of welfare or of poverty. In the former case, the transformation
function I j ( x j ) represents the achievements attained in dimension j , while
in the second case it represents the deficits. In the latter case it will also be
necessary to establish a specific poverty line for each dimension.
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The most important and commonly used transformation methods
include standardisation based on range, on the normal distribution function
(or p-score), on distance from the attribute’s mean and on distance from the
optimal value achieved by the attribute, as well as logarithmic transformation.
The UNDP Human Development Index (HDI) uses the first of these
methods. This means that the index varies from 0 to 1, which makes it easy
to interpret accurately and facilitates temporal and spatial comparison.5 Below,
we detail some of these methods.
Method
x
Iij =
D

By z-score

Formula
–
ij – x j
S(xj )
xij – min (xj )

Iij =

based on the range

max (xj ) – min (xj )

Iij =

In relation to best performance

xij
max (xj )

The important thing to bear in mind here is that, on one hand, there is no
normative guideline to help decide exactly what method of transformation is
most appropriate, and on the other, different methods can produce different
results, especially if the objective is to order countries or individuals.
2.

Degree of substitution between attributes

Parameter β in [1] captures the extent of substitution between the dimensions
considered. Based on this, the elasticity of substitution is given by:

σ=



5

136

1
1− β

The HDI measures the average level of human development for each country as the simple average of
three dimensions: the logarithm of per capita GDP, life expectancy at birth and educational level, the latter
in turn being a weighted average of adult literacy test findings (2/3) and combined gross matriculation rates
for primary, secondary and tertiary education (1/3). Income is considered logarithmically in order to reflect
decreasing marginal yields when income is transformed into human capacities (Anand and Sen, 1994).

Social cohesion in Latin America: concepts, frames of reference and Indicators

As can be seen, the smaller the value of β the lower the elasticity of
substitution. In particular:
if - β → - ∞ , then σ → 0, i.e., there is no substitution between pairs of
attributes, and the function is a Leontief function, with an L-shape indicating
perfect complementarity between the two members of the pair, so that in this
case the only attribute that matters in Si is that of the worst performance;
if - β =0, then σ → 1, i.e., the elasticity of substitution is 1 between all
pairs of dimensions, and thus Si is a Cobb-Douglas function, and specifically
[1] becomes the geometric mean. We assume here that a 1% reduction in an
attribute can be compensated for by an increase of the same percentage in
any other attribute;
if - β =1, then σ → ∞ , and Si is a linear function of all the attributes
(their arithmetic mean), indicating that they are perfect substitutes. This
assumes that one attribute’s low value can be totally compensated for by a
high value in another.
In general terms, in the case of the welfare indicator, if β ≤ 1, then
the index is represented by a convex function, reflecting a certain preference
for more equally distributed “baskets of attributes”. By the same logic, the
equivalent for the case of a poverty indicator would be β ≥ 1.
In empirical analyses, especially those that seek to establish a ranking of
countries or other units of analysis, one generally specifies β =1 for the sake
of simplicity. The HDI is an illustration of this. As we mentioned, however,
this constraint is based on the “strong” assumption that the attributes that
make up the level of development or welfare are “interchangeable”, so that,
for example, a low educational level can be compensated for by a higher
income level. Clearly, this assumption becomes even more questionable when,
for example, variables designed to measure institutional functioning or other
variables related to people’s perceptions are incorporated into the analysis
—as would be the case of a social cohesion index.
3.

Weighting structure

In addition to the two parameters we have just analysed, the structure of the
weighting factors of the different attributes that make up a multidimensional
index are very important. It must be borne in mind that any weighting scheme
involves a trade-off among the dimensions considered, and hence represents
an implicit value judgment regarding the elements that determine (and to
what extent they determine) the numeric value of the synthetic indicator
being analysed.
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As Brandolini (2007) explains, the practical importance of the weighting
factors depends on the level of positive or negative correlation between
the components. As their positive correlation increases, their importance
diminishes. The literature offers different weighting strategies, which are
outlined below.6
(a) Equal weighting for all attributes

 The simplest strategy is to weight all attributes equally. This can be
justified from an “agnostic” perspective that attempts to reduce interference
from the researcher to a minimum. Thus, it simply considers all the attributes
equally important —or, alternatively, it reflects a judgment that available
information or consensus is insufficient to justify assigning them different
levels of importance.
Despite its popularity, this alternative has been strongly questioned.
Its pretensions of “impartiality” ignore the fact that any weighting scheme
represents a position with respect to trade-offs between attributes. Equal
weighting has the obvious disadvantage of not distinguishing the effective
roles of each dimension, and leading to “double counting” in cases where
data on two or more attributes overlap. Thus, as Decancq and Lugo (2008)
point out, equal weighting is as much a weighting scheme as any other,
but with the disadvantage of being rather unattractive from a normative
point of view.
Nevertheless, a study by Chowdhury and Squire (2006) shows that this
approach is widely accepted. The authors surveyed international experts on
inequality and poverty about the weighting structure that they would assign
for the HDI. The findings are notable, in that the experts’ weighting schemes
were very close to giving equal weight to the three dimensions composing
the HDI —a demonstration, as the authors mention, of the wide support
that the HDI enjoys despite criticism of its weighting structure. In any case,
we shall not explore here whether this consensus is based on real acceptance
of equal weighting, or merely on the fact that the information needed for
another approach is unavailable.
(b) Weighting based on the data

 A second way of weighting is to “let the data speak for themselves.”
Such strategies are based on the relative frequency of the attributes, or
on more sophisticated mechanisms that draw on multivariate techniques
or regression analysis.
6



138

Here, we follow the classification that appears in Brandolini (2007) and Decancq and Lugo (2008).

Social cohesion in Latin America: concepts, frames of reference and Indicators

• In the first case, the weighting factors are computed as a function
of the attributes’ relative frequency. In some cases, more weight
is assigned to certain deprivations if relatively few individuals are
subject to them. The rationale here is that the lack of an attribute
is important in inverse relation to its prevalence in the population
(Desai and Shah, 1988; Cerioli and Zani, 1990). This criterion has
been criticised (e.g., by Brandolini and D´Alessio, 1998) on the basis
that the resulting structure can be highly unbalanced when the lack
of different attributes in the population is very uneven. On the other
hand, Osberg and Sharpe (2002) assign greater weight to dimensions
in which a smaller percentage of individuals have a deficit.
• Another alternative has been proposed by Jacobs and others (2004),
who suggest assigning less weight to dimensions for which the
quality of information is low, or where there is a high percentage of
non-response. The advantage of this approach is that the resulting
indicator is based on high-quality information.
• Both strategies, however, raise the question of what justifies using the
relative frequency of attributes to determine their relative importance
in the composite index.
• Some authors propose a third alternative: assigning each individual
the weighting factors that are endogenously determined to be most
favourable, i.e., that maximise the individual’s welfare. Specifically, the
greatest weight is assigned to the attribute in which the individual is
most favoured, though to prevent the entire weight from being assigned
to the best attribute, some additional constraints are imposed.
 The disadvantages of this approach are, first, that such multiple
weighting complicates comparisons between individuals, and second,
that the results depend on the additional constraints imposed. Finally,
as we have noted in other cases, such mechanisms do not guarantee
reasonable trade-offs, since there is no a priori rationale for assuming
that the dimension in which an individual obtains the best results
contributes most to his or her general welfare.
• A procedure different from all of the above is the use of multivariate
techniques such as clusters (Hirschberg and others, 1991) or principal
components (Klasen, 2000; Noorbaksh, 1998). The rationale behind
these techniques is that they prevent double counting, since they
take the correlation between different attributes into account when
determining weighting. They do this by considering uncorrelated
dimensions, or by giving them less weight than those that are
correlated (Nardo and others, 2005).
An alternative method is to employ latent variables models, which
assume that the variables observed (the attributes under consideration) are
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a construction based on a certain number of latent (unobserved) variables.
As we have mentioned, the most commonly used of these approaches is
factor analysis, where the dimensions considered are interpreted as different
manifestations of a composite latent index. This technique has been widely
used in welfare analysis (examples include Maasoumi and Nickelsburg,
1988, and Nolan and Whelam, 1996). More complex latent variables models
incorporate other exogenous variables that are not among the attributes being
studied, but that may influence the latent variable.7
As in the previous cases, however, multivariate techniques have some
disadvantages for the type of work we are discussing. In particular, they can
lead to results that are inadequate from a normative point of view (e.g., in
principal component analysis, some studies come up with negative weights).
As Decancq and Lugo (2008) mention, the object of multivariate techniques
is to reduce the number of dimensions under analysis, and to do so in a
statistically valid way. It does not follow, however, that an adequate weighting
structure can always be obtained.
As Schokkaert and Van Ootegem (1990) mention, factor analysis is a
way of reducing data, and the relative weights assigned to the data represent
only the data’s role in the variability of the dimension being examined —not
in the dimension itself.
(c) Weighting based on market prices

 Another alternative is based on market prices. The obvious problem
with this approach is that not all attributes are associated with market prices
—and even if they did, prices are not always an appropriate way of comparing
welfare, as Foster and Sen (1997) have pointed out.
(d) Weighting based on a normative approach

 Finally, weighting can be based on a normative criterion. The problem
here is that there are no “ethical” criteria to indicate how to weight the
different dimensions. One strategy, as mentioned above, has been to consult
members of the population (or of a subgroup —in particular, experts or
policy makers) on the weight that they would assign to each of the dimensions
being studied. Another is based on hierarchical analysis, in which individuals
are asked to compare pairs of dimensions, and then a matrix is constructed
with weighting factors based on a multidimensional scale of measurement
(Nardo and others, 2005).
In concluding this section, it is important to reiterate that the weighting
structure for each attribute, its degree of substitution and its transformation


7

140

The MIMIC (Multiple Indicator Multiple Causes) model and SEM (Structural Equation Model) are
examples.

Social cohesion in Latin America: concepts, frames of reference and Indicators

function reflect alternative value judgments regarding the notion of poverty
and welfare, or regarding the composite index itself, and that, in addition,
these factors can have major impacts on findings. The situation is further
complicated by the lack of any procedure indicating how to weight the
different dimensions —nor is there a single criterion by which to establish
the value of the other two parameters in the multidimensional context.
Moreover, additional decisions are at issue in the one-dimensional context,
e.g., the selection of indicators (the evaluation “space”), their measurement
and, in the case of inequality, the degree of aversion to inequality.
Faced with the difficulty of finding a rationale for a single set weighting
structure, some authors, such as Foster and Sen (1997), suggest establishing
“ranges” of reasonable weighting factors. The problem with this is that it
is likely to produce an incomplete ordering of distributions. Of course, the
practical importance of this constraint increases with the amplitude of the
range and decreases with the degree of correlation between the attributes.
Finally, a reflection on the conjoint interpretation of parameter β
and the weighting factors is in order. As mentioned earlier, the first of these
establishes whether the attributes are mutually “interchangeable”, and to
what extent such “interchange” can be carried out. The latter define the
relative importance of each attribute in the overall index. The important
point here is that both factors are ultimately fundamental in determining the
magnitude of the impact that a small change in the value of an attribute has
on the composite indicator. In particular, as Decancq and Lugo (2008) show,
that depends on (1) the attribute’s relative weight (the greater a dimension’s
weight the greater the impact that changes in it will have on the overall index);
(2) the derivative of the transformation curve with respect to the attribute
(the greater the derivative, the more impact change in the attribute will have),
and (3) the value of [ I j( x j ) / S ( X ) β −1 , i.e., the ratio of the value of the
]
transformation of the attribute to the value of the overall index.
This last factor suggests that for β  1 , if the individual (or region, or
country) has a lower value on the dimension considered than in the overall
indicator, an increase in the former will have an important impact on the
latter. Therefore, this parameter (like the weighting factor) makes it possible
to increase an attribute’s relative impact on the overall index. In particular, the
smaller the value of β , the more sensitive the index will be to the dimensions
that show the worst findings. The logic is that the “value” of the attributes
increases as a function of their scarcity. In the case of β = 1 , the value of
the ratio is equal to 1, and the effect of a change in an attribute depends only
on (1) and (2) (Decancq and Lugo, 2008).
We must remember that this is the case of the HDI, where β = 1
suggests perfect substitution between the three attributes considered. This,
added to the logarithmic transform of income, means that it will not always
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be possible to obtain results that evoke full consensus. For a given value of
the education index and the HDI, for example, a reduction in life expectancy
should be accompanied by a certain percentage increase in income. This clearly
means that the implicit value assigned to the extension of life expectancy in
wealthier countries is greater than in lower-income countries. In other words,
due to decreasing yields, as GDP grows more income will be necessary to
acquire the other components of well-being.

D.  By way of exploration: constructing a synthetic index
of social cohesion in Latin America based on the
ECLAC indicators

As the foregoing sections demonstrate, a plethora of methodological decisions
must be made in constructing a synthetic index, and there is a wide range of
possibilities for each. In addition, their effects on results may not be neutral.
Nevertheless, it can be argued that the empirical importance of these questions
is ultimately small, and that the range of results that one obtains by modifying
these choices is in practice minimal.
In order to evaluate this argument, we now examine different exercises
in estimating the degree of social cohesion in Latin America, not neglecting to
analyse the sensitivity and robustness of findings in a wide range of available
alternatives. The objective here is not to conduct an exhaustive analysis of
degrees of social cohesion in individual countries (or differences between
countries in this respect), but simply to evaluate the range of results obtained
and the country ranking that results in each case.
For this purpose, we have used the variables associated with the ECLAC
social cohesion indicators, for which complete information is available from
all countries. In other words, variables for which any country does not have
data have been eliminated. After standardising the variables, those where
the index moved inversely to cohesion were transformed (in the case of the
range, by subtracting one from the value obtained, while in the case of the
z-score, the figure was multiplied by -1). Annex I contains a complete list of
the variables in the system.
1.

Descriptive analysis

So as to obtain a first set of descriptive data from the variables that make
up the system of social cohesion indicators, table V.A-2 (see annexes) shows
the matrix of Pearson correlations, which measure the linear relationship
between each pair of attributes.
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In the first place, as regards the “disparities” variables, we can see that
there is a high positive correlation between those that measure poverty and
those that measure inequality (variables a-11 to a-16). In all of these cases,
the correlations are in excess of 50%, and even close to 90% in many cases.
There is also a high correlation between the poverty indicators as a whole
and the health and education indicators, suggesting close links between
the countries’ more structural conditions. However, no significant positive
correlation between the unemployment rate and the other variables in this
set is in evidence (indeed, in some cases the correlation is negative).
As to the institutional variables, there is scant correlation between the
democracy index (variable b-11, the Freedom House Index) and citizens’
perception of the level of democracy (b-12) and their degree of satisfaction
with democracy (b-13). There is a significant correlation between these last
two as well as between the two of them and the poverty level. In other words,
countries with less poverty seem also to have higher indices of democracy
and citizen perception of democracy.
Finally, as regards the variables associated with the sense of belonging,
the correlation is significant in only one case (where it is negative, however)
—the variables representing expectations for the future and expectations of
social mobility (c-31 and c-32).
Thus, on one hand, we see highly correlated variables, and on the
other, linearly independent —or even inversely related— ones. All of this
information is very important, not only for understanding patterns and
correlations in the variables, but to move towards some strategy that can
reduce the number of variables.
2.

Multivariate analysis: country clusters

In order to generate some additional results before constructing the synthetic
index, we conducted a cluster analysis on all the variables in the system.
As we have mentioned, this is a multivariate technique designed to group
variables so as to maximise homogeneity in each group and differences
between groups.8
A dendogram is a graphic representation that helps to interpret the results
of an analysis by showing the formation of the clusters and the distances
between them. Below, we present a dendogram for the analysis of all the
variables. The horizontal axis shows the countries, while the vertical axis
represents the distance on the basis of which the number of clusters is
8



A cumulative hierarchical algorithm was employed.

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defined. In other words, different numbers of groupings will be produced
by different “tolerances” within the clusters. For example, the horizontal line
in the top part of figure V.1 shows the distance between the countries based
on which four groupings are defined.
■■

Figure V.1

Latin America (18 countries): country dendograms

Country dendograms
All variables

L2 dissimilarity measure

3

2

1

N

SL
V

VE

EC
U
ME
X
PE
R
PA
N
PR
Y

NI
C
BR
A
CO
L
DO
M

BO
L
GT
M
HN
D

I

Y

CR

UR

AR

G
CH
L

0

Countries
Source: Economic Commission for Latin America and the Caribbean(ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

As may be seen, the most distant value observed is for Venezuela, since
that is the last country to be incorporated in the final cluster. On the other
hand, the observations that are closest to each other (the ones forming the
first group) are for Ecuador and Mexico. Figure V.1 also shows how the
clusters are composed for each distance or tolerance criterion.
A Duda and Hart test (1973) shows that the optimal number of
groups is four or five. In each case, the groups are composed of the
following countries:

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■■

Table V.1

Latin America (18 countries): country grouping
4 Clusters

5 Clusters

Argentina

Country

1

1

Chile

1

1

Costa Rica

1

1

Uruguay

1

1

Bolivia (Plurinational State of)

2

2

Guatemala

2

2

Honduras

2

2

Nicaragua

2

2

Brazil

3

3

Colombia

3

4

Ecuador

3

4

Mexico

3

4

Panama

3

4

Peru

3

4

Paraguay

3

4

El Salvador

3

4

Dominican Republic

3

4

Venezuela (Bolivarian Republic of)

4

5

Source: Economic Commission for Latin America and the Caribbean(ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

We see here that the Bolivarian Republic of Venezuela remains alone in
both cases. Also, in the four-cluster grouping, Argentina, Chile, Costa Rica
and Uruguay form one group, Bolivia, Guatemala, Honduras and Nicaragua
another, and the rest of the countries the final group. In the five-group
configuration, Brazil is separated from the other countries.
Thus, this method can be very useful in revealing how the countries are
distributed in terms of achievements in the different dimensions analysed
without making a priori assumptions or imposing strong constraints.
3.

Construction of a synthetic index of social cohesion

Finally, we proceeded to construct a synthetic index based on the HDI
methodology, but allowing different degrees of substitution between attributes
considered, and using different weighting systems. Specifically, we conducted
various exercises to analyse the countries’ ranking as a function of changes in:
• The transformation function. In particular, we standardised (1) by
range (as in the HDI), (2) by z-score and (3) based on the maximum
value that the variable had in the sample.
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• The substitution parameter. The following values were tested: -3,
-2, -1, 1/3, 1/2 and 1. (As mentioned above, this last case is the one
of the HDI).
• The weighting structure. We used three different schemes:
(1)  constant weighting (as in the HDI), (2)  structure based on
principal component analysis and (3) structure based on analysing
clusters of variables.
Before examining the results, we must note that for each dimension
there is information at the national level, and thus the unit of analysis is
the country. Since we do not aim here to produce any regional result, the
strategy will be a single-stage one, where Si ( X β ) represents the level of
social cohesion in each country, as measured by an average of the values of
the attributes considered.

E. Findings
1.

Changes in the transformation function

Figure V.2 shows the ranking of countries resulting from three methods of
standardising the variables, assuming β = 1 and equal weighting for all the
variables. The ranking was organised in such a way that the degree of cohesion
increases clockwise. Thus, Uruguay is the country with the most cohesion in
the region, followed by Costa Rica, Chile and Argentina. At the other end of
the scale are Guatemala, Honduras, Bolivia, Paraguay and Nicaragua.
This finding seems consistent with the cluster analysis, where the former
four countries were in one group, and Guatemala, Honduras, Bolivia and
Nicaragua in another. Only for Paraguay do the findings not coincide precisely,
since the general ranking shows Paraguay as one of the countries with least
cohesion, just before Nicaragua and after Bolivia, while the cluster analysis
identifies it as one of the countries with most cohesion. In the rest of the
cases, the two rankings coincided precisely, suggesting that multivariate analysis
is a relevant and valid preliminary step in constructing a synthetic index.
Figure V.2 superimposes points showing how the countries’ relative
positions vary with different standarization schemes. The results change little
using alternative.

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■■

Figure V.2

Index of social cohesion: sensitivity to the transformation function
18
17
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1

URY
CRI
CHL

ARG

VEN

GTM
HND
BOL

PRY

NIC

PAN

PER
MEX

SLV
BRA

DOM
COL

Z-score
Range
Maximum

ECU

Source: Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

This same information appears in annex table V.A-3. Gray indicates
countries that change position if the alternative transformation functions
are applied. As can be seen, the changes are not numerous, occurring in only
4 of the 18 countries considered, and the variations only shift the countries
one or two positions up or down in the ranking.
Thus far, our analysis has covered all the variables in the system.
However, given the heterogeneous nature of the variables, we provide figure
V.3 and annex table V.A-4, which show the same analysis separately for each
of the three major components: disparities, institutions and belonging. As
will be seen, figure V.3 shows more “disorder” than does the preceding
figure, indicating that the countries’ relative positions shift very substantially
according to which dimension is being analysed.

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Figure V.3

■■

Index of social cohesion by component (standardised by range)
BOL

URY
CRI
CHL

ARG

18
17
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1

HND
NIC
GTM

DOM

MEX

PRY

VEN

PER
ECU

SLV
PAN

COL
BRA

Gaps
Institutions
Belonging

Source: Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

The last columns in annex table V.A-4 show the specific changes of
position. Given the heterogeneity of each country’s performance on the
different dimensions, nearly all change position according to what component
is considered. Moreover, some countries change drastically —e.g., Peru (which
is sixth in the general ranking, 7 in the gaps ranking, 3 in the institutions
ranking and 15 in belonging), Mexico, Ecuador, Bolivia and Colombia. The
countries best positioned in the general index change less, as the cases of
Uruguay and Costa Rica illustrate.
This suggests that the general ranking represents an average of situations
that are very heterogeneous in terms of achievements on the different
dimensions. This raises questions about the validity and relevance of the
general average for evaluating social cohesion in the region.
2.

Changes in the value of the substitution parameter

Figure V.4 and annex table V.A-5 show the results of the overall index with
changes in the value of the substitution parameter ( β ) , assuming equal
weighting for all the variables, and using range as the standardisation method.
As may be seen, the positive or negative value of this parameter produces
substantial changes in the country ranking.
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■■

Figure V.4

Index of social cohesion: sensitivity to beta value

URY
CRI

CHL

ARG

GTM
18
17
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1

HND
BOL

PRY

NIC

VEN

PER

PAN

SLV

Beta=-3
Beta=-2

MEX

DOM
BRA

ECU
COL

Beta=-1
Beta=1/3
Beta=1/2
Beta=1

Source: Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

As indicated above, the difference in final results with changes in the beta
value clearly demonstrates the role that this parameter can play in increasing
or reducing the relative impact of one dimension on the composite index. In
particular, the lower this value, the more sensitive the index is to the dimensions
with the worst results. Therefore, countries with a very low level of some variable
are heavily penalised. This occurs, for example, with Argentina, which moves
from fifteenth place with a beta value of 1, to fifth place with a beta value of -3.
Honduras is an example of a country in the opposite situation, and Uruguay’s
place remains practically unchanged, as does Chile’s.
The great variability that emerges when the value of the substitution
parameter is changed is particularly important, since the habitual practice of
assigning it a value of 1 does not seem to work well for social cohesion. In
particular, the possibility of “interchanging” dimensions and compensating
for low levels of one attribute with high levels of another seems to contradict
the very idea of cohesion, which incorporates not only objective disparities
but perceptions of them.
3.

Changes in the weighting structure

Finally, figure V.5 and table V.A-6 show the results of the overall index with changes
in the weighting structure, assuming β = 1 , and standardising by range.
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Figure V.5

■■

Index of social cohesion: sensitivity to weighting factors

GTM
URY
CRI
CHL

ARG

18
17
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1

HND
BOL
PRY

NIC

VEN

PER

PAN

SLV
MEX

DOM
BRA

ECU
COL

Constant
By PC analysis
By clusters

Source: Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

As we have mentioned, this compares ranking based on constant
weighting (as in the previous cases) with the structure that emerges when we
use the principal component (PC) method and with the structure produced
by using clusters as variables. In the case of PC, as is usual in these cases, the
weighting factors chosen were the elements of the eigenvector associated
with the maximum eigenvalue (principal component). In the case of the
clusters, following Hirschberg (1991), the variables were weighted on the
basis of the calculation:

wj =

1 
mc n j

[2]

where mc is the number of clusters, and n j is the number of variables
in the same clusters as variable j. The analysis produced five clusters.
The results indicate that the strongest changes in position as a function
of what weighting scheme is used emerge when weighting by cluster, since
the variations are smaller in the other case.
These findings suggest some reflections. On one hand, they are indeed
highly sensitive to methodology, and the countries’ positions in the ranking
changes drastically as a function of methodological decisions. The choice
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Social cohesion in Latin America: concepts, frames of reference and Indicators

of the value of the substitution parameter seems to be the most critical,
since it generates more scatter in the results. On the other hand, the results
do not seem to be highly sensitive to alternative standardisation schemes for
the variables.
All of this is more important yet if we consider that there is no normative
guideline to help select among the available alternatives. As pointed out by
Decancq and Lugo (2008, p. 21) in connection with the choice of weighting
system, “Ultimately, the definite test for any weighting scheme should be
in terms of its reasonability in terms of implied trade-offs between the
dimensions. As long as there is no widely accepted theoretical framework
how to set these trade-offs, the researcher has no choice than to rely on her
common sense and to be very cautious in interpreting the obtained orderings
of the well-being bundles. In all cases, robustness tests to determine whether
results are driven solely by the specific value of weights selected, should be
called upon”. If this statement is true, it would prove difficult for ECLAC
to construct a synthetic index of social cohesion.
Finally, the empirical results shown suggest that, as a minimum, the three
pillars included in the index should be analysed separately, since performance
with respect to the different pillars is so divergent in each country that the
ranking changes substantially from one pillar to the other, significantly
diminishing the usefulness of the aggregate index.

F.  Advantages and limitations of an index of social cohesion
for Latin America and the Caribbean

Based on all the preceding analysis, this section attempts an overall evaluation
of the advantages and limitations that would accompany an ECLAC index
of social cohesion for Latin America and the Caribbean.
Although the previous sections provide valuable elements, there are
at least three additional important matters to consider. First, the region has
very high levels of inequality and polarisation, both within and between
countries. Second, the concept of social cohesion is extremely complex, and
the multiplicity of factors that determine it very large. Finally, ECLAC is an
influential international organisation in the region, a factor that must not be
taken lightly when deciding whether to publish an indicator of this sort.
Before setting out the advantages and limitations of a composite
index, it may be helpful to recall the sequence of tasks involved in
constructing a relevant and technically rigorous index of this type, which
include the following.
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1.

The feasibility of constructing a synthetic index of social cohesion for Latin America

Defining a theoretical framework

The first step in constructing a composite indicator is to define and specify the
object of study, and to recognise the effort involved in reducing a multiplicity
of determinants to a single dimension. As we have mentioned, ECLAC has
taken important strides in defining the concept of social cohesion.
2.

Selecting indicators and considering the availability of information

Each indicator selected should be closely tied to the dimension being studied,
the information needed to measure it should be available and of acceptable
quality, and the indicator should be easy to interpret and to relate with the
other indicators. ECLAC already has a proposed system of indicators for
monitoring social cohesion in the region.
3.

Exploratory descriptive and multivariate analysis

As preliminary steps, before actually constructing the synthetic index, it can be
very useful to analyse correlations and bivariate density functions, and to conduct
a multivariate “dimension reduction” analysis. These exercises help to get a handle
on the patterns in the dimensions being studied, and on their interrelationships,
and the results can serve as input to improve the specification of the composite
index. Cluster analysis of variables also can identify similarities and common
patterns among them, and make it possible to reduce some redundancies. Applied
to countries, cluster analysis can help to form groups of relatively homogeneous
countries, which is important input in analysing the rankings produced by the
synthetic index. These exercises could also prove a valuable end in themselves if
the decision is made not to proceed with constructing a synthetic index, since they
provide a wealth of information on various dimensions related to the number
and composition of groups of similar countries.
4.  Standardising the indicators, weighting structure and substitution
parameter

We have discussed these issues in detail, explaining the wide range of options
available in each case, and —perhaps more important— the fact that the
choice made may affect findings in non-neutral ways.
5.

Analysing the sensitivity and robustness of findings

Thus, given the multiplicity of value judgments and arbitrary decisions
inherent in the process of constructing a synthetic indicator, it is indispensable
to conduct various explorations of sensitivity in order to assess the range of
variability of findings.
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6.

Degree to which the index is accepted and used, is transparent,
and evokes consensus

One of the important conditions for the acceptance and widespread use of
the index is that its procedures be transparent, as well as easy to communicate
and understand —not only for academics, but for policy makers. Thus,
consensus during the earlier steps in the process, and regarding the results
of the process, are essential to the index’s being accepted and used over time.
This is particularly important when the index is designed to produce a ranking
of countries in terms of their social cohesion.
With these factors in mind, and touching on some issues that we have
described before, let us summarise the advantages and disadvantages of any
synthetic index:
Advantages

• Synthetic indices reduce the multiplicity of information, making
it easier to interpret the dimension being studied.
• Overlaps of information are reduced or eliminated.
• Comparability between countries, regions, etc. is enhanced, and
the identification of patterns over time is facilitated.
Disadvantages

• Valuable information may be lost.
• There may be some arbitrariness in the choice of parameters,
with very significant impact on findings. Normative frameworks are
not always available to provide the rationale for these decisions, and
it can be difficult to achieve consensus on them.
• In constructing the index, one may confront a trade-off between
rigour and the ease of communicating findings.
• The “dilemma of the average” arises with any synthetic index.
When components of an index behave similarly, the aggregate
indicator based on them may have relatively little to contribute
(although it obviously facilitates comprehension). To make matters
worse, when the components behave differently, the aggregate or
average measure becomes even less useful.
Two additional considerations —one conceptual, the other empirical—
can be added to these general considerations. These would seem particularly
relevant in the case of an indicator of social cohesion for the region:
(i) The conceptual issue involves the very complexity of the concept of
social cohesion, which can only be represented by including a large
number of indicators. A number of questions arise as a result of this.
To what extent can the indicator of cohesion as defined by ECLAC
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be reduced to a single dimension? How is the dialectic between
mechanisms of inclusion and exclusion expressed in an average?
Are not the very contradictions between the progress made on each
pillar, as well as between pillars, an essential part of the indicator?
To what extent can the deficit of an attribute be totally or partially
compensated for by better performance in another attribute, so that
the average reflects “some degree of cohesion”?
 Considering the nature of the concept, and the results of the broad
analysis provided here, it wouldn’t seem workable for a synthetic index
that averages progress in various diverse dimensions to faithfully
reflect the realities of social cohesion in the region’s countries, or to
serve as an adequate basis for policy-making decisions. In particular,
a single synthetic indicator would seem inadequate to describe
something as complex and multidimensional as social cohesion.
This means that to properly understand what factors determine the
relative position of each of the countries, we must go through the
construction of the index in reverse, so to speak, identifying the
individual behaviour of each variable in each country.
(ii) All of this becomes even more complex if empirical questions are
incorporated in the evaluation. On one hand, it is difficult to reduce
all of these dimensions and interpret the result of the synthetic
indicator, given the very divergent patterns of its components. On
the other hand, the results are sensitive to alternative constructions
of the index, which produce different country rankings. This is
more important yet considering the great number of decisions to
be made in constructing the indicator, and the diversity of opinions
available in each case.
All of these elements are essential in evaluating the importance,
relevance and utility of a synthetic index of social cohesion for the region that
attempts to facilitate country comparisons. Such indicators should not only
be based on a solid theoretical framework and be constructed rigorously, but
should accurately reflect the nature of the phenomenon being studied and
provide robust results. As we have mentioned, it is essential to consider that
widespread use of this type of index by the countries depends on consensus
about it, which will be based, among other things, on the extent to which
four requirements are fulfilled. Although the first two seem to be met, since
ECLAC has developed a theoretically rigorous approach and a proposed
system of indicators based on it, the second two requirements do not seem
to be met, and this raises doubts about the appropriateness of constructing
a composite indicator of this sort.
In this connection, it should be noted that one of the reasons for the
popularity of the HDI is the consensus that exists around the idea that
154

Social cohesion in Latin America: concepts, frames of reference and Indicators

income patterns over time are not associated only with social and human
development, and that thus a more complex analysis involving a greater
number of dimensions is required (Sen, 1999). Another reason the popularity
of the HDI is its simplicity of construction and the fact that it is easy to
interpret. Finally, the availability of information at the national level facilitates
its ongoing use. Despite these advantages, nevertheless, the HDI has not been
exempt from criticisms along a different line.
As Brandolini (2007) mentions, the HDI is a simple example of
the problems that can arise in constructing an index based on complete
aggregation. As he shows based on two-dimensional iso-HDI curves of per
capita GDP and life expectancy (with a set value for education), a single HDI
value for 2002-2003 is consistent with very different values of its components.
For example, the values for Argentina and Hungary are virtually identical
(0.863 and 0.862, respectively), but life expectancy in Argentina is 1.8 years
greater, while its per capita GDP is 17% lower. If the weighting structure were
not the same for all the attributes —if, for example, life expectancy had three
times the weight of income— Argentina would beat Hungary, with 0.867
versus 0.856. These results not only show the importance of the weighting
structure, but reveal a loss of valuable information, since the synthetic
indicator can hide very significant differences in its components. All of this
becomes even more important when comparing and ranking countries.
Finally, our analysis to this point suggests that a decision on moving
toward constructing a synthetic index of social cohesion should be based on
a theoretical and empirical assessment of such an index’s pros and cons. The
difficulty of attaining a thorough understanding of the region’s countries on
the basis of a single indicator, the arbitrary decisions that go into constructing
it, the lack of complete normative guidelines and the pronounced volatility
of results, which leads to very different rankings of countries, do not seem
to be compensated for by the “communicational” advantage of a synthetic
indicator of this sort.

G. Final reflections

Multidimensional approaches to human and social development are
receiving increasing attention, both in academia and in the public
policy sphere. These efforts have led to various indicators of inequality,
deprivation, exclusion and social cohesion that take account of the multifaceted nature of these phenomena.
The results have not been uncontroversial, however, and consensus
has not been forthcoming. From an empirical point of view, it is clear that
155

Chapter V

The feasibility of constructing a synthetic index of social cohesion for Latin America

assumptions about the different parameters (particularly the weighting
structure and the elasticity of substitution between attributes) are not neutral
for findings, while the lack of a complete normative framework prevents
reducing the options.
The questions that arise, given all of this, are: What usefulness would
an index of social cohesion for the region have? What is the final aim of
creating such an index? Is the objective to influence decision-making?
How can valid policy recommendations be made on the basis of a single
synthetic indicator?
Another issue that must be borne in mind if the decision is made to
create a composite indicator involves the steps entailed in creating it and
assuring that it will be widely used. In particular, it seems unadvisable to
advance in such an undertaking without a broad consensus in the region’s
countries about the concept of social cohesion itself, its importance and the
dimensions that constitute it.
Given the countries’ needs, then, it would seem best for ECLAC to work
towards national studies of social cohesion rather than towards a composite
index. This can serve not only to provide in-depth analysis of all the factors
associated with social cohesion, but to put the issue on the public agenda in
a way that contributes to good decision-making, and ultimately to the general
population’s welfare.

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159

Chapter V

The feasibility of constructing a synthetic index of social cohesion for Latin America

Annex
■■

Table V.A-1

Eclac system of indicators of social cohesion
Codes
Gaps
a11
a12
a13
a14
a15
a16
a21
a22
a23
a24
a31
a32
a33
a41
a42
a43
a44
a45
a51
a52
a53
a54
a55
a61
a62
a53
Institutions
b11
b12
b13
b14
b21
b22
b23
b24
b31
b32
b33
b34
b35
b41
b42
b43
b44
b45
Belonging
c11
c12
c13
c21
c22
c23
c31
c32
c41
c42

160

Indicadors
Poverty
Poverty gap coefficient
Indigence
Indigence gap coefficient
Income quintile ratio (Q5/Q1)
Gini coefficient
Open urban unemployment rate
Persons employed in low productivity sectors
Male/female ratio of urban wages
Under-employment rate
Women’s participation in non-agricultural wage work
Employed persons contributing to social security
Working-age population contributing to social security
Complete secondary education
Net pre-school matriculation rate (pre-primary education)
Illiteracy rate in 15+ population
Access to preschool: quintile ratio (Q1/Q5)
Complete primary education in 25+ population
Infant mortality rate
Life expectancy at birth - year olds with measles vaccine
Percentage of 1
Births assisted by specialised health workers
HIV/AIDS mortality rate (cases per 100,000 inhabitants)
Percentage of population with less than the minimum food energy consumption
Population with access to improved sanitary services
Population with sustainable access to improved sources of drinking water
Democracy index (Freedom House)
Citizen perception of level of democracy in country
Satisfaction with democracy
Citizens with positive attitudes towards democracy
Index of perceived corruption (Transparency International)
Perceived advance in combating corruption
Citizen evaluation of performance of judiciary
Persons stating that they have been victims of a crime in the last year
Tax burden as percentage of GDP
Confidence that tax monies will be well spent
Public spending on education as percentage of GDP
Public spending on health as percentage of GDP
Social public spending as percentage of GDP
Index of labour productivity (1980=100)
Median real wages
Employed persons worried about losing job
Private educational spending as percentage of GDP
Household out -of-pocket expenditure on health care as percent age of total health care spending
Ethnic population
Population that feels mistreated because of face or skin colour
Proportion of seats in nacional legislatura held by women
Confidence in State institutions and political parties
Votes in parliamentary elections as percentage of total voting - age population
Political activism index
Percentage of citizens who believe that their children will live better than they
Percentage of citizens who believe that the social structure is open and egalitarian
Rate of mortality due to suicide and self - inflicted injury
Homicide rate

a11
a12
a13
a14
a15
a16
a21
a23
a31
a41
a43
a45
a51
a52
a53
a54
a55
a61
a62
a63
b11
b12
b13
b14
b21
b22
b23
b24
b31
b32
b34
b35
b43
b45
c12
c13
c21
c22
c23
c31
c32

a11

1
0.9829*
0.9557*
0.9231*
0.6383*
0.5439*
-0.2079
-0.2006
0.1658
0.5796*
0.7222*
0.8548*
0.7569*
0.7378*
-0.0949
0.6996*
0.2015
0.6460*
0.6830*
0.6607*
0.6927*
0.6045*
0.4366
0.5624*
0.6320*
-0.0397
0.1979
0.0265
0.4306
0.4222
0.2516
0.4945*
0.5006*
0.5098*
0.0774
0.2493
0.5477*
0.2256
0.1969
0.3903
-0.2048

1
0.9841*
0.9758*
0.7071*
0.5785*
-0.1973
-0.1702
0.1422
0.5676*
0.7120*
0.8491*
0.7619*
0.7388*
-0.087
0.7161*
0.2029
0.6199*
0.6852*
0.6482*
0.6281*
0.5556*
0.4197
0.5431*
0.5853*
-0.024
0.2033
0.0609
0.3482
0.3975
0.2594
0.4102
0.438
0.4467
0.0858
0.2078
0.4707*
0.2125
0.2172
0.3808
-0.1762

a12

1
0.9791*
0.7082*
0.5678*
-0.2189
-0.2023
0.1545
0.5987*
0.7127*
0.8353*
0.7519*
0.7100*
-0.0369
0.7330*
0.2143
0.6093*
0.6777*
0.6120*
0.5888*
0.5101*
0.3606
0.5047*
0.5441*
-0.0374
0.1708
0.0083
0.3588
0.3523
0.1845
0.365
0.3635
0.4504
0.0534
0.2184
0.4051
0.2475
0.2587
0.3995
-0.1924

a13

1
0.7285*
0.5555*
-0.215
-0.1689
0.0963
0.5429*
0.6372*
0.7912*
0.7286*
0.6837*
-0.0316
0.7021*
0.1862
0.5520*
0.6490*
0.6062*
0.5449*
0.4743*
0.381
0.4885*
0.5150*
-0.0176
0.2115
0.1067
0.303
0.3424
0.266
0.3281
0.3376
0.3815
0.0616
0.13
0.3671
0.2275
0.2283
0.3673
-0.1671

a14

1
0.8796*
0.1533
0.1198
-0.0112
0.2557
0.4402
0.5668*
0.7202*
0.6640*
-0.1385
0.4828*
0.2579
0.4582
0.5033*
0.1607
0.2985
0.2336
0.285
0.3625
0.3536
-0.1176
0.0689
-0.0572
-0.0088
0.4396
0.2236
-0.0219
0.3896
0.052
0.4127
0.2771
0.1234
0.1506
0.1125
0.1089
-0.1503

a15

1
0.1008
0.2239
0.0388
0.1631
0.429
0.4777*
0.5545*
0.4897*
-0.4227
0.4746*
0.1505
0.3157
0.3017
0.0171
0.2024
0.4224
0.5023*
0.5040*
0.2922
0.1685
0.2861
-0.1335
-0.0736
0.5597*
0.0291
0.0117
0.3421
0.1304
0.4647
0.3291
0.3586
-0.0553
0.2193
-0.1677
0.0565

a16

1
0.0332
-0.2631
-0.4996*
-0.3183
-0.3609
-0.0066
0.0392
-0.0354
-0.5048*
0.5271*
0.0855
-0.0955
-0.2133
-0.2301
-0.4092
-0.2616
-0.3161
-0.1133
-0.164
-0.254
-0.1476
-0.3099
-0.2761
0.2139
-0.2395
-0.0644
-0.5832*
-0.0751
0.1562
-0.3986
0.0096
-0.2524
-0.0649
0.3037

a21

1
0.2962
-0.2168
-0.0511
0.0866
0.1153
0.1329
-0.4618
0.186
-0.2521
-0.1197
-0.0624
-0.3211
-0.3559
0.0443
0.123
0.0479
-0.3867
0.0934
-0.0119
0.1044
-0.354
0.1555
0.0673
-0.2675
-0.1095
-0.1764
0.5787*
0.014
-0.1077
-0.6088*
-0.0303
-0.5722*
0.352

a23

■■

Table V.A-2

1
0.0944
0.3967
0.3566
0.1973
0.1108
-0.0559
0.3869
-0.2008
0.5155*
0.5116*
0.245
0.1187
0.0423
-0.0295
-0.0801
0.1476
-0.1323
0.0787
-0.1589
0.0047
0.3349
0.212
0.0939
0.1819
0.4483
0.2636
-0.0997
0.1923
-0.3154
-0.0376
-0.0853
-0.3348

a31

1
0.7158*
0.6644*
0.3353
0.2837
-0.1239
0.4965*
0.1414
0.2461
0.2245
0.2162
0.308
0.1445
-0.097
0.2449
0.2756
-0.2107
-0.2797
-0.1799
0.2734
0.1264
-0.2861
0.2898
0.2065
0.5848*
-0.115
0.1506
0.2337
0.0768
0.241
0.5751*
-0.313

a41

1
0.8924*
0.4446
0.5190*
-0.2472
0.6885*
0.2352
0.5754*
0.4800*
0.385
0.468
0.3734
0.0943
0.4621
0.3897
-0.0926
-0.0461
-0.1741
0.1954
0.2777
-0.1067
0.4034
0.4366
0.5622*
0.0736
0.2257
0.3634
0.0221
0.3703
0.5025*
-0.264

a43

1
0.6865*
0.7191*
-0.1794
0.8235*
0.1876
0.6146*
0.5667*
0.4794*
0.5519*
0.5188*
0.279
0.5767*
0.4087
-0.0913
0.044
-0.0098
0.3741
0.3679
0.0883
0.5074*
0.5269*
0.5701*
0.2115
0.2227
0.4102
0.1184
0.3056
0.4421
-0.2575

a45

a51

1
0.9292*
0.0481
0.6579*
0.223
0.6813*
0.6986*
0.4486
0.5494*
0.3947
0.2776
0.3241
0.5690*
-0.0777
0.1599
0.0716
0.2514
0.3899
0.3915
0.1591
0.4178
0.3809
0.5225*
0.3257
0.2775
0.1349
-0.0296
0.2105
-0.1654

Matrix of pearson correlations

1
0.0987
0.6602*
0.1955
0.6309*
0.6923*
0.5019*
0.6342*
0.4171
0.2312
0.3774
0.5342*
-0.1029
0.0627
0.192
0.1586
0.2585
0.357
0.136
0.4019
0.2642
0.5069*
0.3971
0.2088
0.1787
-0.0506
0.2471
-0.0907

a52

1
-0.0501
-0.0889
0.0099
0.2555
0.2654
0.4208
-0.3056
-0.3543
-0.2342
0.1813
-0.3721
-0.2839
0.3531
0.1337
-0.3585
0.2864
-0.1467
-0.0127
0.0021
-0.0784
0.0886
-0.4615
0.6766*
-0.5545*
0.2049
-0.4584

a53

1
-0.0311
0.4921*
0.5145*
0.3934
0.5313*
0.5477*
0.3939
0.5621*
0.3953
0.1167
0.2743
0.0527
0.2725
0.4135
0.048
0.26
0.2118
0.5605*
0.4774*
0.2544
0.353
0.0053
0.1423
0.1336
-0.2057

a54

1
0.3794
-0.0596
-0.0836
0.0746
-0.1347
-0.1661
0.1168
0.2312
-0.0333
-0.1324
-0.3359
0.3134
-0.1398
0.0952
0.3527
0.3015
0.1068
-0.2076
0.1406
-0.2069
0.2669
0.1074
0.5486*
-0.0878

a55

1
0.7344*
0.4175
0.4656
0.1616
-0.007
0.0401
0.5592*
-0.3142
0.1719
-0.3613
0.359
0.362
0.4103
0.3495
0.4447
0.3335
0.297
0.1325
0.2991
0.0021
0.1444
0.4834*
-0.4374

a61

1
0.7374*
0.6049*
0.2829
0.1562
0.1295
0.6139*
-0.2563
0.0536
0.0321
0.1235
0.3895
0.5197*
0.0181
0.3634
0.2873
0.2632
0.1608
0.1908
0.1046
-0.1547
0.1842
-0.4089

a62

1
0.5786*
0.5242*
0.3858
0.3899
0.5097*
0.0971
0.1718
0.2591
0.2125
0.1725
0.4199
0.2513
0.3661
0.3449
-0.1534
0.1525
0.3047
0.2458
-0.1465
0.2161
-0.1292

a63

1
0.4305
0.2476
0.4237
0.7931*
-0.1082
0.1002
0.3638
0.4325
0.2297
0.3593
0.4044
0.4734*
0.5635*
0.1427
0.2332
0.3399
0.5385*
-0.2286
0.3104
-0.4355

b11

Social cohesion in Latin America: concepts, frames of reference and Indicators

161

162

1
0.8705*
0.8453*
0.3449
0.5580*
0.6174*
0.1556
0.415
0.4353
0.0815
0.4837*
0.414
0.4525
0.1335
0.2675
0.7040*
0.0279
0.3228
-0.1556
0.2125

b12

1
0.7493*
0.3213
0.7060*
0.6935*
0.193
0.2231
0.6151*
0.0986
0.285
0.2802
0.2684
0.1615
0.0353
0.6360*
0.001
0.1584
-0.3778
0.2164

b13

1
0.2347
0.4647
0.3566
0.1928
0.383
0.2585
0.0758
0.5143*
0.5576*
0.4603
0.077
0.4297
0.3944
0.2106
0.1777
-0.0658
0.14

b14

1
0.1297
0.2751
0.1137
0.2886
0.5531*
0.286
0.2204
0.3643
0.5587*
0.1594
-0.0737
0.4415
0.3331
-0.1485
0.3309
-0.4908*

b21

1
0.6483*
0.2064
-0.0898
0.2881
-0.2342
0.0137
-0.1421
0.2106
-0.0112
-0.1691
0.3716
-0.1358
0.2014
-0.3858
0.4604

b22

1
0.0771
0.2244
0.4281
0.1907
0.2721
0.0705
0.2391
0.251
-0.1665
0.6530*
-0.2079
0.371
-0.2772
0.2084

b23

1
-0.1711
-0.201
0.3234
-0.036
-0.0109
0.0939
0.0248
-0.1407
-0.018
0.2931
-0.3507
-0.2622
0.2158

b24

1
0.0978
0.1863
0.8237*
0.4791*
0.4891*
-0.1955
0.0856
0.3202
0.4294
0.2814
0.436
-0.3657

b31

Table V.A-2

(conclusion)

1
-0.025
0.0668
0.2598
0.3132
0.408
-0.2729
0.6150*
-0.1166
0.1377
-0.0877
-0.3754

b32

1
0.1813
0.4634
0.0559
0.2127
0.1238
-0.0681
0.0421
-0.4091
-0.0876
-0.1267

b34

1
0.6171*
0.5467*
-0.272
0.0485
0.5067*
0.2849
0.3776
0.4323
-0.1544

b35

*Indicates statistical significance.

1
0.4624
0.1078
0.343
0.2831
0.3151
0.0025
0.2792
-0.3549

b43

Matrix of pearson correlations

Source: Prepared by the author on the basis of System of Indicators of Social Cohesion (ECLAC/SEGIB, 2007).

b11
b12
b13
b14
b21
b22
b23
b24
b31
b32
b34
b35
b43
b45
c12
c13
c21
c22
c23
c31
c32

■■

1
0.0571
0.0694
0.4856*
0.1692
0.0701
0.2459
-0.3535

b45

1
0.2553
0.1006
-0.3327
-0.181
-0.3292
-0.0804

c12

1
-0.1224
0.0532
-0.2055
-0.1015
0.2092

c13

1
-0.1453
0.4566
0.0062
0.0387

c21

1
-0.1733
0.4286
-0.4301

c22

1
0.2798
0.1838

c23

1
-0.5127*

c31

1

c32

Chapter V
The feasibility of constructing a synthetic index of social cohesion for Latin America

Social cohesion in Latin America: concepts, frames of reference and Indicators

■■

Table V.A-3

Changes in transformation function
Country

Transformation function
Range

z-score

GTM
HND
BOL
PRY
NIC
PER
SLV
DOM
ECU
COL
BRA
MEX
PAN
VEN
ARG
CHL
CRI

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17

1
2
4
3
5
6
7
8
9
10
11
12
13
14
15
16
17

Maximum
1
2
4
3
5
7
8
6
9
10
11
12
13
14
15
16
17

URY

18

18

18

Source: Prepared by the author on the basis of System of Indicators of Social Cohesion (ECLAC/SEGIB, 2007).

■■

Table V.A-4

Ranking by component
Gaps
Country

Institutions

Membership

Change in ranking

Range z-score Maximum Range z-score Maximum Range z-score Maximum

Inst.Gaps.

Bel.Gaps.

Bel.Inst.
-4

GTM

1

1

2

8

8

8

4

5

3

7

3

HND

2

2

1

5

5

5

7

7

9

3

5

2

BOL

3

3

3

9

9

9

9

8

13

6

6

0

PRY

4

4

4

2

3

3

1

1

1

-2

-3

-1

NIC

5

5

5

11

11

11

8

9

8

6

3

-3

PER

6

6

6

1

1

1

3

3

4

-5

-3

2

SLV

7

7

9

3

2

2

15

15

15

-4

8

12

DOM

8

9

7

7

7

7

2

2

2

-1

-6

-5

ECU

9

8

8

13

13

15

6

6

5

4

-3

-7

COL

10

10

10

12

12

12

12

14

7

2

2

0

BRA

11

11

11

14

15

14

10

11

10

3

-1

-4
1

MEX

12

13

12

4

4

4

5

4

6

-8

-7

PAN

13

12

13

10

10

10

17

18

14

-3

4

7

VEN

14

14

14

6

6

6

16

16

17

-8

2

10

ARG

15

15

15

16

16

13

14

12

16

1

-1

-2

CHL
CRI

16

16

18

15

14

16

11

10

12

-1

-5

-4

17

18

16

17

17

17

18

17

18

0

1

1

URY

18

17

17

18

18

18

13

13

11

0

-5

-5

Source: The author, based on System of Indicators of Social Cohesion (ECLAC/SEGIB, 2007).

163

Chapter V

The feasibility of constructing a synthetic index of social cohesion for Latin America

■■

Table V.A-5

Changes in substitution (beta) parameter
Value of beta parameter
Country

–3

–2

–1

1/3

1/2

1

GTM

6

4

2

1

1

1

HND

11

10

10

2

2

2

BOL

7

7

6

3

3

3
4

8

8

5

4

4

NIC

12

9

8

5

5

5

PER

13

13

12

7

7

6

PRY

SLV

4

5

7

6

6

7

DOM

10

11

11

8

8

8

ECU

3

3

3

9

9

9

COL

1

1

1

12

11

10

BRA

2

2

4

11

10

11

MEX

15

15

13

13

13

12

PAN

14

14

14

14

14

13

VEN

18

17

17

10

12

14

ARG

5

6

9

15

15

15

CHL
CRI

17

16

15

16

16

16

9

12

16

17

17

17

URY

16

18

18

18

18

18

Source: Prepared by the author on the basis of System of Indicators of Social Cohesion (ECLAC/SEGIB, 2007).

■■

Table V.A-6

Changes in weighting structure
Weighting
Country

Constant

By PC analysis

Byclusters

GTM

1

2

3

HND

2

1

11

BOL

3

4

1

PRY

4

5

9

NIC

5

3

5

PER

6

7

4

SLV

7

6

13
2

DOM

8

8

ECU

9

9

7

COL

10

10

10

BRA

11

12

12

MEX

12

11

17

PAN

13

13

8

VEN

14

14

6

ARG

15

15

14

CHL

16

16

15

CRI

17

17

18

URY

18

18

16

Source: Prepared by the author on the basis of System of Indicators of Social Cohesion (ECLAC/SEGIB, 2007).

164

Social cohesion in Latin America: concepts, frames of reference and Indicators

Chapter VI

Towards a nucleus of key indicators
of social cohesion: one step back,
two steps forward1
Juan Carlos Feres, Pablo Villatoro

A. Introduction

One of the main challenges relating to social cohesion is to place the issue high
on the national agenda of the countries of Latin America and the Caribbean.
This endeavour is by no means straightforward since one of the features of
this region is the coexistence of sharply differing realities and institutional
capacities. Moreover, Latin American and Caribbean nations, unlike their
European counterparts, are not bound by supranational consensuses or
commitments to monitor a set of common social development targets as
part of a regional integration effort.
The difficulties referred to above manifest themselves in a number
of ways. Different interpretations of the concept of social cohesion have
emerged from the various consultations organized by ECLAC,2 and one
problem, among others, is the lack of clarity in terms of the boundaries
1



2



This article was based on the valuable inputs produced by Andrés Palma, relating both to the
systematization of consultations of experts from different international cooperation agencies and to the
evaluation of indicators of cohesion contained in the first proposal developed by ECLAC.
For more detail, see the website of the project entitled “Measuring social cohesion in Latin America”;
[online] http://www.eclac.org/deype/.

165

Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

between the components and what the different indicators are being used to
measure. All these factors make it difficult to use the social cohesion approach
to monitor the public policies implemented by countries.3
This chapter seeks to define, in public-policy terms the conceptual
approach that ECLAC has developed for measuring social cohesion. It
proposes a selection of key indicators of cohesion for Latin America, retaining
the central elements of the original ECLAC approach, but attempting to
achieve more simplicity and usability. Thus, it begins with some reflections
on the concept of social cohesion, continues with a re-definition of the
pillars or components of cohesion and then proposes a list of key indicators.
It concludes with reflections on the challenges that need to be addressed
in order to move forward with the measurement of social cohesion in the
countries of the region.

B. The concept of social cohesion and the pillars on which it
is based

ECLAC (2007a) initially defined social cohesion as the dialectic between
established mechanisms of social inclusion and exclusion, and citizens’ perceptions
and reactions with respect to how these mechanisms operate (belonging). This
definition brings together and relates various elements that are important
in the development of Latin American societies, such as the dynamics of
inclusion and exclusion and the perceptions and reactions of social actors.
It constitutes a starting point for creating a more comprehensive approach
to the dynamics of social development in the region. The novelty of this
approach is that it incorporates subjective information to supplement the
traditional kinds of data used by ECLAC.
Overall, the ECLAC definition is a description of the mechanisms
involved in the dynamics of social transformation. The conceptual approach
of ECLAC identifies the pillars that are most important for development in
the regional context (inclusion and a sense of belonging), and emphasises
the relationship between them as the key issue. Some examples of relevant
questions that emerge from this analytical perspective are: How will citizens
perceive, and react to, mechanisms of exclusion that deepen social gaps?
How will citizens perceive the implementation of institutional reforms (e.g.,
increased tax burdens) designed to close these gaps?
3



166

Nevertheless, some countries have given some very encouraging signs. For example, the Office of the
Comptroller General of the Republic of Colombia, and in particular the Directorate of Sectoral Studies
of that office used the approach developed by ECLAC for measuring social cohesion in its social report
entitled “Inclusión y exclusión social en Colombia (salud, educación y asistencia social): mercado y
política social”.

Social cohesion in Latin America: concepts, frames of reference and Indicators

Here, one might ask whether, in order to encourage a greater focus on
cohesion in public policy, we need to define an explicit development horizon. In
principle, the answer is affirmative, since normative thresholds fulfil essential
functions in public policymaking, orienting action (and hence policy design)
and facilitating the follow-up and evaluation of outcomes. Clearly, this goes
well beyond a purely analytical role.
In terms of horizons, the countries of the region should take steps
to reduce social exclusion; institutions, especially those directly involved in
designing and implementing public and social policy, would need to have the
necessary capacities to achieve that purpose. Naturally, not all exclusions will
be targeted by public policy. An ordinary citizen may find it galling not to be
accepted in “The Sphere”4 (a social network notable for its extreme luxury), for
example, but such exclusions are not of interest for public policy-making.
One of the ways of operationalising the concept of exclusion in the
region is through the notion of social gaps —the socioeconomic disparities and
deficits in the countries as a result of which some groups are unable to exercise
their basic rights, and are deprived of opportunities to develop their potential.
These disparities, which should be a public-policy objective, may be (i) absolute,
which is to say measured against a normative benchmark, or (ii) relative, in other
words, defined on the basis of differences in income distribution between
groups (ECLAC/EUROsociAL, 2007). The concept of social disparities goes
beyond the notion employed in many developed countries (European countries
in particular), which use a notion of relative deprivation. Since both relative and
absolute deprivations are present in Latin America, both types of disparities
are meaningful objects of consideration here.
One argument that could be used to reduce the number of pillars of
social cohesion is that it will be sufficient to monitor disparities, since existing
disparities will be approximate reflections of institutional capacities to
reduce them. However, this fails to take account of the fact that comparable
institutional performances can generate different outcomes in terms of
social disparity, and, moreover, that they may be perceived differently by the
public. Thus, retaining the institutional pillar makes for greater analytical
richness, since it provides ways to identify factors associated with reducing or
aggravating disparities and designing policy responses. Furthermore, various
indicators of institutional functioning are relevant in themselves to those
interested in monitoring policy —for example, indicators of public social
spending and indicators of changes in taxation.
4



The applicant seeking to enter this network must go “through a careful selection process conducted by
a strict committee.” After passing through the initial filter, those interested must pay an entry fee of three
thousand euros. The network’s web address is https://www.the-sphere.com/user_session/new.

167

Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

The situation of the belonging component is more complex than that
of the disparities and institutions pillars, for a number of conceptual,
methodological and practical reasons, for the belonging pillar includes aspects
of reality which are present at different levels, and the measurement of which
requires different sorts of methodological operations. To be precise, the
subjective elements captured by this pillar include not only direct perceptions
of how institutions operate and of how extensive social disparities are (the
surface level of subjectivity), but also underlying issues such as ties and values
of solidarity, which can be expected to influence the disposition of actors
with respect to the res publica.5
However, a number of problems arise in conceptualising and measuring
these “deeper” aspects of the problem. The first is that “belonging” involves
different degrees of membership in groups, which may or may not be related
with people’s views of institutions.6 Indeed, very high levels of a sense of
belonging to particular groups may be associated with negative attitudes
towards other groups and towards institutions. Something similar is true of
social ties. There is no unequivocal answer to the question of what ties need
to be strengthened, and to what degree. The issue is even more complex if a
desired outcome is not clearly defined (it is one thing to strengthen ties as a
way of combating poverty, and another to do so in order to increase citizen
support for consensus around inclusion). Nor is it clear whether belonging
and social ties actually constitute a “subjective” dimension. There is, after all,
an entire line of research that deals with material issues such as the structure
and density of social networks.7
Incorporating belonging, ties, and even values, expands the universe of
dimensions that can be observed in a case where data is not easily obtained.
As ECLAC (2007a) points out in reference to Latinobarómetro, which is
the principal source of subjective data for the system of social cohesion
indicators, this instrument was not designed to investigate complex dimensions
of perception and feeling such as solidarity or the sense of belonging.
The document goes on to note the need for “theoretical discussion of the
content of these attitudes, values or predispositions and … deployment of
numerous methodological procedures and of statistical tools that can ensure
5



6



7



168

For example, ECLAC suggests that “while cultural changes encourage greater individualism... [t]he primacy
of the private sphere over the public sphere, and of personal autonomy over collective solidarity, is a
product of both the economy and the media culture, as well as the heightened role of consumption... [T]
hese phenomena coincide with the decline of utopias, collective endeavours and the sense of belonging
to a community. These trends have led to a search for ways to recreate social ties, from small family
circles to society at large... From that perspective, working to achieve social cohesion means working
to recreate social ties…” (ECLAC, 2007a, p. 22).”
In recent years, the citizens of Latin American countries have shown high levels of mistrust in the institutions
of government, but at the same time high levels of identifying with or having a sense of belonging to the
nation-State.
See, for example, the study by Stone (2001).

Social cohesion in Latin America: concepts, frames of reference and Indicators

the validity and reliability of the measurements (ECLAC, 2007a, p. 76). In
addition to these problems of quality, there are constraints in terms of
available information, which led the initial ECLAC proposal for indicators
of cohesion to use “objective” proxies (ECLAC/EUROsociAL, 2007). This
creates confusion, since in that very document ECLAC defined belonging as a
subjective component composed of attitudes, perceptions and values.
This does not mean that the quality of ties and the sense of belonging
have nothing to do with citizens’ predispositions towards the res publica.
Certainly, social cohesion in a broad sense is not limited to the relations
between “public opinion” (or the aggregates of individual responses that
make it up) and institutions. Clearly, then, a sustained effort must be made to
pursue a research agenda that explores the relationship between phenomena
such as, on the one hand, senses of belonging and conflicts between groups at
different levels, and, on the other, social cohesion in the aggregate, or between,
on one hand, the articulations between certain structures and qualities of
social ties and, on the other, people’s values.
At this stage of the discussion, it will be useful to return to the original
proposal set forth in ECLAC (2007a), where the interest and usefulness of
demoscopic data are primarily a result of capturing perceptions that reflect
the degree of trust in, adherence to and support of a political system and
socio-economic order. Strictly speaking, “long-term policies that seek to
level the playing field require a social contract to lend them force and staying
power, and such a contract must have the support of a wide range of actors willing
to negotiate and reach broad agreements” (emphasis added) (ECLAC, 2007a,
p. 19). Up to this point, ECLAC is speaking simply of citizens’ reactions to
and perceptions of institutional operations, and of their support for the
legitimation of agreements to reduce social gaps.
Thus, what is of primary interest is information on the subjective
elements that reflect the state of citizen support for institutional action and
for social agreements to reduce disparities. Here, we invoke the notion of the
state of support because it is not clear from the outset that social agreements
require massive consensus by citizens in order to work. Strictly speaking,
it is plausible for these social contracts to be “underwritten” by certain
stakeholders (sections of the elites in particular), though even then public
opinion remains a relevant input, especially in democracies that are not yet
very strong, as is the case in a number of the region’s countries. Moreover,
the state of citizen support is easy to measure with surveys.
In short, this review of the ECLAC approach to social cohesion suggests
a series of proposals regarding the concept of cohesion. These include
defining a normative horizon, retaining the disparities component as well as
the institutional one, and further circumscribing the concept of the belonging
component. In this way, social cohesion can be understood as the capacity
169

Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

of institutions to sustainably8 reduce social gaps with citizen support (belonging). Such a
definition lies within the tradition of the ECLAC approach to social cohesion,
but more clearly indicates the divisions between the pillars and ties them in
together in the form of public policies.
Reformulating the meaning of cohesion in this way from the publicpolicy perspective also aligns the concept more fully with the debate that is
in progress in the region, which focuses on what institutional configurations
are best for promoting social protections and reducing social disparities, and
on the need to achieve citizens’ covenants oriented towards these objectives.
Moreover, the proposed reformulation facilitates measurement, interpretation
of findings and their dissemination, since it makes it easier to attribute
numerical values to the different pillars of cohesion, and to communicate
findings. Thus, more citizen support, greater institutional capacity and reduced
disparities in combination will indicate more social cohesion. The reformulation
also preserves the possibility of exploring relationships between the different
pillars of cohesion —the approach’s principal analytical “value added”.
C. Re-defining the frame of reference

The concept of social cohesion that we have reviewed here in terms of
public-policy aims (the ability of institutions to reduce social disparities with
citizen support) can be decomposed into three interrelated pillars to generate
processes and results of cohesion in the region’s different countries. The pillars
are (a) social gaps, (b) institutional capacity and (c) citizen support. The first
two constitute the “objective” or material components of social cohesion,
while the third includes aspects of subjectivity which are directly linked to
the way institutions function and to the spread of social disparities.
The social gaps pillar includes the material living conditions of groups and
communities deprived of access to their basic rights and of opportunities to
develop their potential. These gaps may be relative (in comparison with other
social groups) or absolute (measured against normative thresholds of access to
resources). The areas in which social disparities are seen include employment,
income and poverty, social protections, education, health, consumption and
access to basic services.
Our normative thresholds of access to resources reflect various of
the goals defined at the Millennium Summit of the United Nations, but
adapted to the regional context —which means that the horizons are more
ambitious. One example, which we shall examine in more detail in the section
8



170

For more detail on the notion of sustainability, see the article by Canal and others in this book.

Social cohesion in Latin America: concepts, frames of reference and Indicators

on indicators, is that we use poverty rather than indigence as a criterion for
establishing absolute income gaps. Also, relative disparities by sex, ethnicity
and area of residence are treated as dimensions that cut across the various
areas of observation. In practical terms, this means that for each area of
disparities, the feasibility of disaggregating by sex, ethnic group and/or area
of residence was a criterion in selecting the indicators.
In any case, a more rigorous set of standards for the ECLAC approach
to social cohesion remains to be developed, with reduction goals ideally based
on regional commitments. Discussion is also in progress on incorporating
other areas of social disparity, such as residential segregation, the environment9
and the new information technologies. The general reasons for not including
these factors for observation at this point are conceptual, methodological and
related to the availability of data (for more details, see the final section E of
this chapter, entitled “Summary and major challenges”).
The institutional pillar includes the actions of the various institutional
players, which may affect the structure of opportunities and the processes and
results of inclusion/exclusion. Here, we give priority to initiatives explicitly
designed to reduce social disparities, although activities not explicitly designed
with that intention can also affect inclusion and exclusion. The areas that this
pillar addresses are the functioning of the democratic system, the rule of law,
public policy and dynamics that are strictly economic and market-driven. We
also include one area of observation not considered in the initial proposal
—the family.
Certainly, the process of defining the areas to be observed as a part
of the institutional pillar —as with the other pillars— is not complete.
For example, the institutional pillar does not take account of civil society
institutions or non-governmental organisations, which may play a crucial
role in reducing social disparities by providing services directly to the most
vulnerable populations, by conducting campaigns to promote awareness and
foster solidarity, or simply by monitoring public programmes. As in some
cases mentioned above, these factors are not included because of the lack
of statistical information. However, this is a temporary situation, and as the
region’s statistical systems develop, such factors will be incorporated.
The citizen support pillar includes perceptions that reveal the extent of
adherence to the political system and socioeconomic order, and social actors’ trust in and
predisposition towards institutional initiatives to reduce social disparities. Given this
definition, the short list should include indicators that provide information
on (i)  citizens’ support of the democratic system; (ii)  perceptions of
9



For more detail, see the articles by Kaztman and Canal/Rodríguez in this book.

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Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

existing inequality in a country; (iii) economic assessments and expectations;
(iv) confidence in the institutions of the State, and (v) citizens’ willingness
to fund and support action to reduce social disparities.
Redefining the subjective pillar of the system of social cohesion
indicators means omitting areas such as social capital, values of solidarity, and a
sense of integration and social belonging. This does not imply a major loss of
information —either because some of the indicators were originally included
in this pillar to measure citizens’ perceptions and opinions of institutions
and were retained for that reason, or because very few direct indicators of
social ties, belonging and values of solidarity were initially included since
there were problems of availability and because most such indicators have
not been tested for validity and reliability.
■■

Diagram VI.1

Pillars and areas of observation

Gaps

• Poverty and income
• Employment
• Social protections
• Education

Institutions

• Democratic system
• Rule of law
• Public policy

• Digital gap
• Health

• Economy and market

• Consumption and
access to services

• Family

Citizen support

• Support for democratic
system
• Confidence in
institutions
• Economic assessments
and expectations
• Perceptions of
inequality and conflict
• Support for initiatives
to reduce gaps

Indicators:
Objetive and subjective
Quantitative and qualitative
Source: Prepared by the authors, on the basis of Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL,
A System of Indicators for Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

D. Towards a nucleus of key indicators of social cohesion

Constructing a list of key social cohesion indicators requires more rigorous
analysis of the yardsticks considered in the original ECLAC/EUROsociAL
(2007) proposal, so as to assess more thoroughly the relevance of the different
pillars and areas of observation that constitute the system’s architecture.
Accordingly, this exercise does not take account of the targeting of technical
assistance, since selecting the “best” indicators produces a bias towards the
types of measurement for which national statistical systems have the least need
172

Social cohesion in Latin America: concepts, frames of reference and Indicators

of technical assistance (which is not to say that the measurements should not
be verified). We should note that the final list incorporates some indicators
not included in the initial ECLAC (2007b) proposal. This is due to the fact
that we have had access to series of survey data not available in 2007, which
has facilitated somewhat stronger data analysis.
1.

Criteria for the selection of indicators

The indicators were selected on the basis of a number of criteria, which were
not always applied in the same way. This is because situations vary substantially
from one pillar, area of observation and corresponding data source to another
(the sources generally being household and public opinion surveys). Thus,
the weight that each of the criteria had in making the selection depended
on the specific context in which the choice was made. Faced, for example,
with two indicators with similar data availability but different explanatory
power, explanatory power prevailed. The criteria used to select the short list
of indicators were:
• Balance between the different areas of observation included in
the system. To maintain the balance between the different areas, we
opted to include in the short list at least one indicator per dimension
within the pillars, and no more than three per dimension.
• Relevance. The degree to which proposed indicators would reflect
the area of observation and the component or pillar in question
was taken into account. This criterion is close to the notion of the
validity of content, which refers to the extent to which a type of
measurement is a true conceptual reflection of the phenomenon
that one wishes to measure.
• Discriminatory power. This refers to an indicator’s explanatory
power or sensitivity in the regional context —a property that
determines the extent to which it successfully captures differences
(especially social gaps) between and within countries.
• Disaggregated information. The extent to which published
information is available to facilitate detecting relative gaps. In this
case, we considered socioeconomic disaggregations (by income
quintiles or deciles) as well as disaggregations by sex, area of
residence and ethnic group.10
• Availability. Geographical and temporal coverage of published
information on the indicator.


10

We are not judging the actual “disaggregability” of the indicator here.

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Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

■■

Diagram VI.2

Criteria for the selection of key indicators of social cohesion

Relevance

Discriminatory
power

Balance

Disaggregations

Availability

Source: Prepared by the authors, on the basis of Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL,
A System of Indicators for Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

Certainly, this list of criteria for selecting indicators is far from optimal,
since it fails to take account systematically of at least two properties that
merit consideration in a later exercise, namely, harmonisation/comparability
and reliability. The present indicators also (though not in every case) were
evaluated for their degree of political/institutional legitimacy.
Harmonisation/comparability is the extent to which the concepts and
instruments that different countries use to gather statistical information are
equivalent. This criterion was not included in all cases, simply because studies
or information were not available with good coverage of the different areas
of observation that the system of indicators includes.
Reliability is the extent to which an indicator measures what it sets out
to measure and has internal consistency, equivalence and stability. Internal
consistency here is the extent to which the different questions in an instrument
point in the same direction, equivalence the degree to which the different parts
of an instrument can substitute for each other, and stability the extent to which
an instrument produces equal results in a given population under different
conditions and at different times.
The criterion of political acceptability was used systematically in the
“institutions” and “citizen support” pillars. Since one of the purposes of
the system of indicators is to provide information that will be used by
those involved in public policy, we attempted to avoid indicators that are
controversial because of their patently normative character, or that could
provoke controversies that work against incorporating social cohesion on
the countries’ agendas.
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Social cohesion in Latin America: concepts, frames of reference and Indicators

2.

Key indicators of social gaps

One thing that is not sufficiently explicit in the initial ECLAC proposal
(ECLAC/EUROsociAL, 2007) is the general normative perspective that it uses
to select indicators of gaps, for the parameters involved should not only permit
monitoring and evaluation, but should represent relevant social development
goals (and ones that can effectively be demanded) in most of the region’s
countries. Since there is no regional integration strategy incorporating social
cohesion in Latin America that is binding on the countries, there is a risk that
the information provided by the indicators of cohesion will be underused.
The starting point for selecting the indicators of gaps came from
the United Nations Millennium Summit (2000), where some countries
committed themselves in writing to efforts to improve their population’s living
conditions. The human rights approach provides a framework of principles for
development, and paves the way for national and international accountability
mechanisms (Abramovich, 2006). Here, we have opted for a version adapted
to the regional context, in light of the need (expressed in ECLAC, 2002) to
define common denominators that represent the principal challenges facing
the countries of Latin America and the Caribbean, and that make it possible
to incorporate more ambitious targets in the Millennium Development Goals
in matters that are critical for the region’s development.
The discussion of what common denominators represent the principal
challenges —in this context, the social gaps that it is most urgent for the
countries’ social policy to address— should be seen as a process still unfolding.
ECLAC, along with other international cooperation agencies, has done a great
deal of work on proposals to enlarge or adapt the Millennium Development
Goals to the regional context, and the present work builds on that. This
approach facilitates synergy between work in different thematic areas and
by different divisions within the institution, prevents overlaps and extra
burdens for national statistical systems, makes indicators more relevant, and
also produces progress in terms of entitlements, both by reducing disparities
and by making information available to monitor them.
The basic questions that can be answered by indicators of gaps have
to do with the impact of institutional action on a population’s material living
conditions. It will be recalled that gaps can be either absolute (as in the case
of unmet basic needs) or relative (as in the case of disparities of material
welfare between different social groups). Generally speaking, the gaps included
here relate to access to given goods and services, but may also have to do with
outcomes (such as finishing certain levels of schooling). Even where disparities
in the acquisition of capacities or skills are very important, we do not include
indicators to measure them directly, because information with adequate
175

Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

coverage and comparability for a sufficient number of countries and years
is lacking. However, some indicators of results can be used as approximate
indicators of capacities.
The arguments for selecting a list of key indicators for the “gap”
pillar are developed with a considerable amount of detail in the previous
document (ECLAC, 2007b), which distinguished between primary and
secondary indicators. It emerges from this classification that the selection
of key indicators of gaps is a subset of the long list originally developed by
ECLAC. The table below sets out the long list and explains the thinking
and criteria that governed the selection of each of the yardsticks chosen
as key indicators.
■■

Table VI.1

Indicators of gaps: long list
Area to be observed

Primary indicators

Secondary indicators

Poverty and income

1. Percentage of population under poverty line.
2. Poverty gap.
3. Inter-quintile ratio.

15. Percentage of population under indigence line.
16. Indigence gap.
17. Gini coefficient.

Employment

4. Open unemployment rate.
5. Urban workers employed in low-productivity
sectors.
6. Long-term unemployment rate.
7. Male/female wage ratio.

18. Modified open unemployment rate.
19. Underemployment rate.
20. Women’s participation in non-agricultural
wage work.

Access to social protections

8. Employed persons contributing to pension/
insurance plans.

21. Working age population contributing to pension/
insurance plans.

Education

9. Percentage of population with complete
secondary education.
10. Net pre-school matriculation rate.
11. Illiteracy rate in 15+ population.

22. Ratio of access to preschool by income
quintiles.
23. Percentage of population 25+ with complete
primary education.

Health

12. Infant mortality rate.
13. Life expectancy.

24. One-year-olds with measles vaccination.
25. Births attended by specialised health personnel.
26. HIV/AIDS mortality rate.

Consumption and access to
basic services

14. Undernourished population.

27. Population with adequate access to improved
sewage systems.
28. Population with access to improved potable
water supplies.

Source: Economic Commission for Latin America and the Caribbean (ECLAC)/EUROsociAL, A System of Indicators for
Monitoring Social Cohesion in Latin America (LC/G.2362), Santiago, Chile, December 2007.

176

Social cohesion in Latin America: concepts, frames of reference and Indicators

■■

Table VI.2

Key indicators of social gaps
Area to be observed

Indicators

Poverty and income

1. Percentage of population under poverty line.
3. Inter-quintile ratio.

Employment

3. Open unemployment rate.
4. Urban workers employed in low-productivity sectors.
5. Wage ratios by sex and educational level.

Access to social protections

6. Employed persons contributing to pension/insurance plans.

Education

7. Percentage of population with complete secondary education.
8. Net pre-school matriculation rate.

Health

9. Infant mortality rate.
10. Life expectancy.

Consumption and access to basic services

11. Undernourished population.
12. Population with access to healthy drinking water.

Source: Prepared by the author.

For poverty and income, we opted for the percentage of the population
under the poverty line, because this is more relevant than indigence for
monitoring policies in most of the region’s countries, which generally target
overall poverty, not solely indigence. (This amounts to the implicit use of a
Millennium Summit conceptual framework that is enlarged, or adapted to the
regional situation, as mentioned above.) Practically speaking in the regional
context, moreover, the poverty rate has more explanatory power than the
indigence rate, since indigence affects a very small portion of the population
in some of the region’s countries.
For detecting gaps in the “poverty and income” area, we chose the ratio
between income quintiles over the Gini coefficient. As indicated in ECLAC/
EUROsociAL (2007), the latter is more sensitive to changes in the mean
distribution, and less sensitive to changes in the groups at the extremes of the
continuum, which makes it less valuable as a measure of exclusion, while the
inter-quintile ratio is a better way of determining gaps or disparities between
groups, because it measures only the variations at the extremes.
In the labour dimension, we opted for three indicators that reflect the
quantity and quality of available jobs, and the relative gaps in labour markets
by sex. For quantity, we use the open unemployment rate, the great advantage
of which is its availability (ample coverage in different countries and over
time). To measure quality, we opted for the percentage of workers employed in
low-productivity sectors, which provides an assessment of the incidence of
informal-sector work.11 For the third objective, we chose the wage ratios by sex
and educational level. This indicator detects gaps in wages by sex, controlling
for the variability related with schooling.


11

Some indicators, such as the under-employment rate and long-term unemployment, although relevant
from the point of view of cohesion, were not included in the short list because they have problems of
harmonisation and availability.

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Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

Access to social protection refers to the extent to which the population
has resources to prevent and respond to the different types of risks that
arise in the course of the human lifecycle. There are few alternatives for
indicators here, given criteria such as the availability of data over time and
the geographical coverage of information published by governments. We
therefore selected percentage of employed persons who contribute to pension and insurance
plans, an indicator that is disaggregated and is available for a good number
of the region’s countries.
The selection of an indicator that only measures protection from the
risks associated with ageing leaves us without information on risk exposure
for other age groups. In this respect, Arim and Vigorito indicate that with
recent changes in the distribution of vulnerability in the region’s countries,
the structure of social risk is skewed to the younger age brackets. This not
only puts new demands on policy, but makes clear the need for indicators
that capture risk for these age groups.
For education, we opted for the percentage finishing secondary school as an
indicator for the short list, since it has more relevance and explanatory power
in the regional context than does primary schooling. As various international
studies and reports have documented, completion of primary school is nearly
universal in Latin America. Hence, there is room for more ambitious goals. The
criteria of relevance and explanatory power were also decisive when we included
the net pre-primary matriculation rate on the short list, both because matriculation
at this level is associated with substantial life-long benefits and because preprimary matriculation is still low in many Latin American countries.
Access to and completion of the different levels of schooling will not
be sufficient if educational services are not of adequate quality, since children
will not learn and acquire the skills they need to participate effectively in social
life. However, we did not include indicators of learning on the short list, due
to lack of data (both in terms of country coverage and in the form of time
series), as well as because of problems of the comparability of international
studies. However, we do not dismiss the possibility of including some indicator
from the Second Regional Comparative and Explanatory Study (SERCE)12
implemented by the UNESCO Regional Office for Education in Latin
America and the Caribbean (OREALC) and the Latin American Laboratory
for Assessment of the Quality of Education (LLECE) from 2003 to 2006
in a substantial number of the region’s countries.13




12
13

178

For more detail, see http://llece.unesco.cl/proyectos/2.act?estado=En%20Curso.
In this research, learning achievements for third- and sixth-grade students were established in the areas
of language, mathematics, natural sciences and life skills. It is not clear at this point whether this research
is comparable with the 1996 OREALC-LLECE study.

Social cohesion in Latin America: concepts, frames of reference and Indicators

In the area of health, although infant mortality in Latin America’s urban
areas has declined, and socioeconomically determined gaps in mortality have
been reduced, indigenous populations remain the most disadvantaged group.
Another argument for including this indicator is that the alternatives, such
as percentages of one-year-olds vaccinated for measles, and births attended
by specialised health workers, measure institutional performance rather than
gaps in health outcomes. Disparities of life expectancy also persist in the region
as a function of the countries’ level of development. Thus, this indicator
continues to be relevant and has explanatory power in the region. In addition,
both general data and time series on infant mortality and life expectancy are
sufficiently available.
Lastly, where access to goods and basic services is concerned, food
consumption is an important variable to monitor, both because of the
rise in food prices over the last few years and because the most vulnerable
populations in terms of food security are more likely to be members of
indigenous peoples and to live in rural areas. The indicator selected here is
the percentage of the population that is undernourished —which is to say individuals
whose energy consumption is regularly less than the requirements for leading
a healthy life under conditions of light physical activity.14 It is important to
realise that this indicator is based on food available to households, and does
not reflect inequalities of food distribution within families. For its part, the
indicator “population that has healthy potable water” has the advantage of
permitting the detection of gaps in access in rural areas and precarious urban
areas. Moreover, data on this are widely available.
3.

Key indicators of institutional capacity

Various conceptual, methodological and practical dilemmas must be dealt with
in selecting a group of key institutional indicators. The first is the problem
of establishing normative standards. This may be necessary to interpret the
values of institutional indicators without referring to a gap, or in contexts
where correlations between institutions and gaps are not clear. Establishing
standards is more complex for institutional parameters than for gaps. For
example, science can determine how many calories a person needs to function
in daily life, but determining what institutional configuration is required for a
population of millions to have access to the food needed to meet the standard
over time is less simple.
The question of standards is a problem not only in measuring the
capacity of institutional mechanisms designed to reduce gaps (e.g., social


14

For more detail, see http://www.fao.org/faostat/foodsecurity/index_es.htm.

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Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

policies), but also in assessing the operation of institutions indirectly
associated with these outcomes, such as the institutions of democracy and
the rule of law. For example, in the area of democracy, the equivalent to the
debate between universal or residual welfare schemes is the tension between
minimalistic (procedures-oriented) approaches and those that emphasise
participatory or direct democracy. This latter difference becomes even more
complex when designing indicators, especially when the indicators are based
on a normative perspective that is biased towards one of the approaches
that are in tension.
One possible strategy is to begin with a desirable minimum guarantee,
and raise the bar until it reaches a threshold of political-institutional
tolerance (or viability). This produces a pattern of provision needed for
inclusion and social cohesion that should not be incompatible with a
country’s institutional conditions, and that should be politically acceptable.
In the area of democracy, for example, the threshold is defined by the fact
that a democratic regime will always be preferable to an authoritarian one.
The construction of indicators to capture specific democratic configurations
will therefore not be relevant, since is any form of democracy is above the
threshold of political-institutional tolerance.
In addition to the problem of standards, there are a number of
methodological restrictions. One difficulty is that the reduction of gaps will be
due to action by more than one institution (State, market, civil society, family).
It is very difficult to isolate these institutions or study their interactions.15
Another problem is lack of clarity about what is measured by some indicators
that can be used for the institutional pillars. This raises questions about
distinguishing gaps from institutions. For example, some indicators can be
used as measures of institutional reach, but also as means to estimate the
population’s access to certain institutional services. A typical case is school
matriculation, which has been used as a measure of access to education, but
also as an indicator of the coverage of the educational system.16
What emerges as central from the revised definition of social cohesion
is the capacity of institutions to reduce social gaps. Indicators must therefore
be selected to provide information on institutional actions and mechanisms
that can both indirectly and directly affect the structure of opportunity and
the results of inclusion/exclusion. Thus, indicators of impact, which measure
institutional capacity to diminish gaps (for instance, by comparing levels of
inequality before and after public transfers and taxes) will be preferable to
proxies. However, given the fact that there are very few such direct measures,



15
16

180

For more detail, see Arim and Vigorito in this book.
See, for example, Guadalupe (2002).

Social cohesion in Latin America: concepts, frames of reference and Indicators

we must employ indicators of institutional commitment to reducing gaps, as well as the
sufficiency and quality of institutional functioning (which is to say institutional
capacity as power to impact, not as action).
The initial indicators of institutional capacity proposed by ECLAC/
EUROsociAL (2007) included both objective measures, which principally
reflected commitment to institutional action (such as public spending as a
percentage of GDP, or tax burden) and subjective indicators, which measured
citizens’ evaluation of institutional action. Given changes in the concept of
social cohesion and in the frame of reference, the list of institutional indicators
proposed here is not a subset of the set initially developed by ECLAC. Accordingly,
it automatically excludes measures of public opinion, since the institutional
pillar is one of the “objective” components of the system of indicators.
In the area of the democratic functioning, one of the measures most used
in comparative international studies is the Freedom House index, which has
advantages such as broad availability and harmonised information. However,
it exceeds thresholds of political-institutional tolerance because of its heavily
normative approach based on a minimalistic concept of democracy that
focuses on guaranteeing basic civil and political rights. The heavy normative
approach is also a problem with alternatives such as the Economist Intelligence
Unit’s Democracy Index (for further details, see ECLAC, 2007b) and the
democracy-autocracy scale developed by the Center for Systemic Peace and
the Integrated Network for Societal Conflict Research (INSCR).17
One indicator apparently without such normative problems is the
number of valid votes in parliamentary elections as a percentage of the votingage population. ECLAC considered this in its original proposal (ECLAC/
EUROsociAL, 2007) as a part of the “belonging” pillar, on the rationale that
voting in parliamentary elections reveals citizens’ participation and interest in
public affairs. However, comparing simple averages of voting in parliamentary
elections between 1950-1970 and 1985-2005 in Latin America shows an
increase from 47% to 63%, which would indicate that citizen participation,
and consequently the region’s democracies, are considerably healthier than a
great deal of the literature suggests.
Figure VI.1 shows the relationship between voting in parliamentary
elections and mistrust of political institutions, taking as a benchmark the
averages for both variables in the 2000-2005 period. The correlation for
all the countries is -0.34, a figure without much statistical significance.
However, the correlation does have some conceptual plausibility, since, as
mistrust in political institutions increases, voting in parliamentary elections


17

See http://www.systemicpeace.org/polity/polity4.htm.

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Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

decreases. This would imply that the indicator of voting in parliamentary
elections is something more than a reflection of the reach of the electoral
process. Without Uruguay, however, the correlation plunges to -0.05, which
suggests that for at least 16 countries this indicator says little about the
quality of democracy.18
Figure VI.1

■■

Latin America (17 countries): voting in parliamentary elections
in relation to mistrust of political institutions, 2000/2005

(Values expressed as simple averages)

Voting in parliamentary elections

100
URY

90

PER

80
PAN
70

CHL

60

ARG
HON
BOL

CRI

PRY

MEX

50

GUA

DOM

40

VEN

SLV

ECU

COL

30
40

50

60

70

80

90

100

Mistrust in political institutions

Source: Prepared by the authors, on the basis of special tabulations of Latinobarómetro surveys from 2000 to 2005 and
International Institute for Democracy and Electoral Assistance (IDEA), “Voter Turnout” [online] http://www.idea.int/vt/index.cfm.

Thus, the best option is to use the percentage of women in parliament as an
indicator, since this approximates the capacity of the democratic system to
include and represent the interests of groups that until fairly recently were
excluded from political life.19 In fact, Inglehart and others (2002) found
correlations between women’s participation in parliament and normative
measures of democracy. They believe that modernisation leads both to
greater democratisation and to increased participation by women in public
life. And beyond the question of whether the co-variation of democracy
and women’s participation signals a syndrome of post-materialist values
association with modernisation,20 what matters here is that the proportion
of seats in the legislature occupied by women can be used as a proxy for the


18



19



20

182

There is a sort of paradox in the presence of a greater reach or quantitative penetration of democracy at
the same time as citizens distance themselves from the institutions of democracy.
Unfortunately, owing to a lack of indicators of the extent of representation in parliament of other groups
in the region, such as indigenous peoples and Afro-descendants, which traditionally suffer exclusion,
these groups are not taken into account in this proposal.
The expansion of democracy and of women’s participation are presumably the result of a broad cultural
change (characterised by the emergence of post-materialist values such as freedom of expression,
tolerance and subjective well-being) related with economic development and constituting a new type of
modernising dynamic (Inglehart and others, 2002).

Social cohesion in Latin America: concepts, frames of reference and Indicators

quality of democratic functioning. This circumvents the problems associated
with normative indices of the quality of democratic institutions.
To measure the rule of law, we have chosen the corruption index developed
by Transparency International. Although based on perceptions, this measure is
not an indicator of public opinion, since it reflects the views of experts and
is designed to provide an assessment of the corruption “objectively existing”
in the countries, which cannot be measured directly. Latin America’s levels of
institutional transparency are far from having reached desirable thresholds
(see figure VI.2). The problem is aggravated by the scope of social gaps
in the region. In a study of 129 countries in different world regions, Yong
Sung and Kaghram (2005) observed that inequality is related to corruption
through various material and normative channels, and with different causeeffect relationships. Thus, for example, in an institutional framework of great
opacity, the poorest groups will be vulnerable to extortion and there will be
little possibility of their demanding transparency from their institutions.
■■

Figure VI.2

Latin America and other world regions: corruption index, 2006

(Values in simple averages, 1 to 10, where 1=highly opaque, and 20=highly transparent)
8

8

7

7

7
6

6
5
4

4.5

5
4.2

4

3.4
2.8

3

2.9

3
2

2

1

1

0
Latin
America
(19 countries)

Western
Europe
(28 countries)

Corruption index 2006

Asia-Pacific
(25 countries)

Middle
East
(14 countries)

Eastern Europe
and Central Asia

Africa
(45 countries)

(21 countries)

Change in corruption index 2006

Source: Prepared by the authors, on the basis of Transparency International [online] http://www.transparency.org/.

To evaluate the operation of the institutions that implement public
policy, and social policy in particular, as Arim and Vigorito indicate elsewhere
in this book, it is desirable to have indicators that directly measure the impact
of public transfers, and this means comparing household incomes before and
after transfers, discounting taxes. However, as ECLAC/EUROsociAL (2007)
points out, a substantial number of countries do not yet have the relevant
data or time series. Thus, for the time being, we have chosen per capita social public
spending, which provides a rough approximation of the sufficiency of social
spending (including social security and assistance, education, health, housing,
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Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

and so on). This indicator replaces “social public spending as a percentage
of GDP”, which only provides information on institutional commitments
to social policy.
As indicated in ECLAC (2007a), funding State action requires
mechanisms of solidarity, and this in turn calls for transfers to redistribute
from those who have more to those who have less. Tax burden becomes
relevant in such cases, since taxes are governments’ principal source of
funds. One indicator of a country’s capacity to fund policies of inclusion and
to absorb gaps is tax burden as a percentage of GDP. This figure is low today
in the region in comparison with more developed countries and regions,
and provides a rather minimal funding floor for policy implementation.
Meanwhile, tax burden as an indicator approximates the distributive impact
of taxes, given the regressive nature of indirect taxes and the progressive
nature of direct taxes. Our short list includes the tax burden simply as a
reflection of policy priorities.
As to the functioning of economic institutions, GDP and inflation
are determinants of social gaps both instantaneously and diachronically. As
various editions of the Social Panorama21 have documented, GDP growth
is associated with a reduction in poverty and indigence, while increased
inflation is associated with greater levels of deprivation. These indicators are
also relevant in considering the sustainability of action designed to reduce
such gaps, since heavily expansionary fiscal and monetary policy, although
it may reduce poverty and inequality in the short term, fuels inflation in the
medium term, reducing the population’s purchasing power, and widening
social gaps.
The family as an institutional category is new since the 2007 ECLAC
proposal. Problems related to gender gaps and women’s rights are salient
factors here. ECLAC (2006) identifies a series of changes in family patterns
and gender roles, including (1) growth of single-parent families (especially
those headed by women) and of unmarried couples, (2) spread of contraceptive
methods and low fertility rates and (3) changes in gender roles, whereby men
have gradually ceased to be the exclusive source of household income, and
women have become important providers as well.
Despite this progress, the region’s countries still face major challenges
in freeing women from the domestic activities of reproduction and care, and
allowing them to participate more in the labour market. One indicator that
provides an approximation of the persistence of traditional gender roles in
the family is the percentage of women exclusively devoted to household work.


21

184

See http://www.eclac.org/dds/.

Social cohesion in Latin America: concepts, frames of reference and Indicators

This indicator is based on the universe of women 15 years old and older, and
is available for 16 countries, with data series covering the 1994-2007 period.
However, it is only computed for urban areas, and is not disaggregated by
income quintiles or poverty. For these reasons, it is included in the short list
only on a preliminary basis.
By way of summary, table VI.3 shows the key indicators of institutional
capacity disaggregated by area of observation. The list naturally can and
should be enlarged by incorporating supplementary indicators, because, as
mentioned above, the redesigned architecture of the system of social cohesion
indicators no longer includes a long list of institutional indicators.
■■

Table VI.3

Key indicators of institutional capacity
Area of observation

Indicators

Functioning of democracy

1. Percentage of women in parliament

Functioning of rule of law

2. Corruption index

Public policy

3. Per capita social public spending
4. Tax burden as percentage of GDP

Economy and market

5. Per capita GDP
6. Inflation (annual change)

Family

7. Percentage of women 15 and older exclusively devoted to household work

Source: Prepared by the authors.

4.

Key indicators of citizen support (subjective component)

One practical consequence of the revised definition of social cohesion from
the public-policy viewpoint , which makes citizen support the subjective
pillar, is that the short list now includes indicators of citizens’ confidence
in and support of the political system and socioeconomic order, as well as
the predisposition of social actors vis-à-vis institutional initiatives designed
to reduce social gaps. The revision also excludes by definition indicators of
social capital, values of solidarity and a sense of social integration, which
were originally used as indications of the sense of belonging.
Before presenting the indicators of citizen support included on the
short list, we must explain their methodological peculiarities, which come
from the fact that they are based on public opinion surveys. In the first
place, public opinion is highly associated with the mass media, and is shaped
by the information that citizens consume on a daily basis. Secondly, these
data are not normative and do not all refer to the same unit. Hence, they
must be put in context if they are to be understood, and comparability is a
185

Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

problem.22 Thirdly, public opinion studies measure use few questions to study
many variables, which makes it difficult to measure complex variables such
as attitudes.23 Fourthly, there is little information based on Latin American
samples to determine the validity and reliability of the information obtained
from these sources and questions.
Table VI.4 presents the short list of citizen support indicators, which
draw solely on the Latinobarómetro survey for their data. In this case,
we do not present the original list proposed by ECLAC/EUROsociAL
(2007), because the belonging component there included measures of social
capital and sense of social integration and non-discrimination, which are
automatically eliminated by the revised concept and pillars of cohesion. Some
of the indicators on the earlier list were categorised with the institutional
component. Here, we shall begin with a short explanation of the arguments
that governed the selection of the citizen support pillar indicators, which, as
in the case of the institutional pillar, are not a subset of the initial list.
■■

Table VI.4

Key indicators of citizen support
Indicators

Area to be observed
Support for the democratic system

1. Percent of support for democracy

Confidence in institutions

2. Confidence in governmental institutions and political parties.a

Economic expectations

3. Percentage of population that believes that their children will live better than they have

Perceptions of inequality

4. Percentage of population that believes that the distribution of income is very unfair

Support for initiatives to reduce gaps

5. Perception of tax burden
6. Confidence in the quality of spending of tax revenues

Source: Prepared by the authors.
a

 A composite index constructed as follows: (1) individual scores from responses to questions on confidence in the executive
branch of government, the legislature, the judiciary and political parties are summed; (2) total scores are divided by 4 to
standardise them to the scale used for the original responses (1=a lot; 2=somewhat; 3=little; 4: not at all), and (3) the scores
are recoded, so that those that average scores between 3 and 4 are classified as having little or no trust in political institutions,
while those with averages between 1 and 2 are classified as trusting a lot or somewhat.

The indicator of support for democracy is available in a harmonised form
(the same question for all the countries) from 1996 to 2008 for 18 Latin
American countries. This measure is less sensitive to economic performance
than the indicator of satisfaction with democracy, showing that it has more
to do with the population’s support for the democratic system than with a
country’s economic situation. This question also has explanatory power in
the framework of the ECLAC proposals regarding the creation of social
22



23



186

This is a problem for public opinion poll data, since they are based on the classic theory of measurement,
where the relation between the expected value (Y) and the attribute (A) is linear, i.e., Y = A+e, e being the
error. In practice, two procedures are used to control for this: randomisation (R), which some opinion polls
use, and standardisation (S), which is not used. (We do not refer here to standardisation in the sense of
using the same questions.) In the absence of R and S, values of Y can be due to informants’ external or
internal conditions.
For further details, see ECLAC (2009).

Social cohesion in Latin America: concepts, frames of reference and Indicators

protection pacts that substantiate citizen support for closing social gaps. As
figure VII.3 shows, support for democracy was systematically greater between
1996 and 2008 in countries with less poverty and inequality.
■■

Figure VI.3

Latin america (18 countries): support for democracya
by groups of countries defined in terms of social disparitiesb, 1996-2008

(Percentages of populations agreeing with the statement
“Democracy may have problems, but it is the best form of government”)

Small gaps

Medium gaps

Large gaps

Source: Prepared by the author, on the basis of special tabulations of Latinobarómetro surveys from 1996 to 2008 and
Economic Commission for Latin America and the Caribbean (ECLAC), “CEPALSTAT” [online database] http://websie.eclac.cl/
sisgen/ConsultaIntegrada.asp?idAplicacion=1.
The question used by the Latinobarómetro study is “With which of the following statements do you agree most? (1) “Democracy
may have problems, but it is the best form of government”, (2) “In some circumstances, an authoritarian government can be
preferable” or (3) “It’s the same to us whether the government is authoritarian or democratic.”

a

b

 The countries were classified on the basis of a non-hierarchical cluster analysis, using 2007 values of the following variables:
(1) percentage of the population under the poverty line, and (2) ratio of first-quintile to fifth-quintile incomes. This generated
the following classification: countries with small gaps: Uruguay, Costa Rica, Argentina, Chile and the Bolivarian Republic of
Venezuela; countries with medium gaps: Brazil, Mexico, Colombia, Panama, Peru, Dominican Republic, El Salvador and
Ecuador; countries with large gaps: Plurinational State of Bolivia, Guatemala, Honduras, Paraguay and Nicaragua.

The index of confidence in governmental institutions (which reflects feelings about
all three branches of government) and political parties was based on inquiring about
citizens’ confidence in the executive, legislative and judicial branches of
government, as well as the political parties. Responses are available for every
year in the 2002-2008 period, with coverage for 18 countries from 2004 on. In
general, the index seems to meet the requirement of being one-dimensional,24
and it shows adequate internal consistency. For example, as table VI.5
shows, the questions on confidence in the institutions of the three branches
of government, as well as the political parties, point to a single underlying



24

In any case, note that principal component analysis does not provide the strongest tests of a measuring
instrument’s one-dimensionality, above all because of the problem of common variance.

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Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

dimension that persists through the years and across different sample sizes.25
The alpha coefficients of the confidence questions (see table VI.6) indicate
internal consistency between acceptable and good, with different sample
sizes and different years.26
■■

Table VI.5

Latin America (18 countries): one-dimensionality of questions on confidence
in governmental institutions and political parties, 2002-2008

(Explained variances of factors and correlation matrix of factors and variables) a
2002-2006

FACTORS

2007

I

Percentage explained
variance
Legislature
Judicial branch
Political parties
Executive branch
Armed forces
Police
Television
Church
Sample sizes

II

I

41.3%

12.8%

40%

0.789
0.737
0.730
0.728
0.493
0.585
0.225
-0.021

0.117
0.199
0.050
0.109
0.451
0.349
0.612
0.839
80530

0.797
0.747
0.675
0.753
0.301
0.448
0.306
-0.119

2008
II

2008b

I

II

I

14%

43.9%

13.1%

43%

13%

II

0.131
0.190
0.226
0.098
0.680
0.524
0.407
0.819
16339

0.845
0.807
0.766
0.640
0.505
0.421
0.151
0.047

0.116
0.183
0.111
0.257
0.482
0.538
0.740
0.746
16442

0.840
0.766
0.724
0.715
0.444
0.449
0.245
-0.031

0.118
0.222
0.157
0.166
0.520
0.466
0.666
0.823
836

Source: Prepared by the authors, on the basis of special tabulations of Latinobarómetro surveys from 2002 to 2008.
 Principal components model with rotation of the maximum variation. Figures (or correlations with the factor) of at least 0.4 are
acceptable. For more detail, see Straub and others (2004).

a

Estimate based on a simple random sample of 5% of the total 2008 sample.

b

■■

Table VI.6

Latin America (18 countries): internal consistency of questions
on confidence in political institutions, 2002-2008

(Values in Cronbach alpha coefficients) a
Countries

2002-2006

2007

2008

2008b

Total alpha coefficient
Alpha coefficient upon elimination of the question on:
Confidence in the legislature
Confidence in the judicial branch
Confidence in the political parties
Confidence in the executive branch
Sample size

0.775

0.773

0.801

0.795

0.695
0.719
0.734
0.737
89517

0.681
0.712
0.750
0.725
18885

0.703
0.731
0.759
0.809
18823

0.696
0.734
0.762
0.780
952

Source: Prepared by the authors, on the basis of special tabulations of Latinobarómetro surveys from 2002 to 2008.
a

 The alpha coefficient varies between 0 and 1. The closer to 1 it is, the greater the internal consistency of the measurement.
George and Mallery (2003) suggest the following criteria for interpreting the alpha values:  0.8 = good;  0.7 = acceptable;
 0.6 = questionable; 0.5 poor, and  0.5 = unacceptable.

b

Estimate based on a simple random sample of 5% of the total 2008 sample.



25



26

188

Various hypotheses could be tested regarding the cognitive mechanisms involved in the covariance of
confidence in different institutions. One is that a halo effect is in operation —in other words, a bias in which
people evaluate unfamiliar objects on the basis of how they categorise objects with which they have a
closer relation. Another is that there is a summary construct of confidence in institutions, which would
imply that the subjects process and store fragments of information on institutions on a second-order
cognitive level, which would explain their responses to stimuli related to the institutions. For more details
on these hypotheses as they apply to studying the effect of country image on consumer behaviours,
see Min Han (1989). This assumes an absence of measurement errors generated by the sequence and
syntax of survey questions.
The values of the alpha coefficient are sensitive to sample size, the number of items in the questionnaire
and the way in which they are presented, as well as the specific areas being explored, among other
factors. For more details, see Vos and others (2000) and Iacobucci and Duhachek (2003).

Social cohesion in Latin America: concepts, frames of reference and Indicators

Information on the population’s expectations is also relevant, since
expectations can erode social cohesion, either by being particularly low or by
being excessively high. For example, in societies with high levels of exclusion,
individuals may cease to believe in social mobility. This increases the gap between
expectations and aspirations, which can generate frustration and aggressive
behaviour. At the same time, very high expectations of social mobility (which
can be provoked by the consumption of cultural contents associated with the
spreading availability of new information technologies) may be beyond the
system’s capacity to provide social mobility. Thus, in this case, we have opted
for an indicator of expectations of intergenerational mobility: the percentage of
the population that believes that their children will live better than they have.
One area not considered in the initial ECLAC/EUROsociAL (2007)
proposal is perceptions of inequality. This is an area in which both theory
and measuring instruments are in a very early stage of development. In any
case, it is important to have information on this, since it is connected with
the legitimacy of a given socioeconomic, cultural and symbolic order. We
have opted for an indicator of citizens’ perceptions of the present fairness of income
distribution in their country, since some previous research has found sharp
differences between the countries in the three years for which information is
available. The differences seem to be associated with factors that go beyond
the strictly economic, ultimately relating to issues around the distribution of
symbolic goods such as dignity, recognition and the possibility of exerting
more influence (ECLAC, 2009).
As noted, perception of inequality is a developing field, and certainly has
room for measures of perceived discrimination in relation to ethnic groups
and gender (to mention only two factors) —which have not been included
in this short list, primarily because of problems with the availability of data.
Similarly, ECLAC (2007a) has posited that one of the problems for social
cohesion is the existence of a gap between formal equality under the law and
the actual heavy asymmetries of access to justice. Nevertheless, although the
Latinobarómetro survey includes a number of questions about equality under
the law, changes in how the question is formulated and in the options for
answers offered create difficulties when it comes to selecting an indicator.27


27

For example, the 1996-2000 rounds included the question “Is there equality under the law or not?” with
the response options “Yes, all are equal under the law” and “No, there is not equality under the law.” The
2000 and 2007 rounds asked about equal opportunity for access to justice, again with two response
options: “All have equal opportunity” and “Not all have equal opportunity.” The 2003, 2004 and 2005
surveys used an ordinal scale (a lot, a fair amount, little, not at all), where the question was “How much
equality is there under the law?” In 2008, the ordinal response was used again (a lot, a fair amount, little,
not at all), but the question was “Would you say that [the citizens of your country] are equal under the
law?” It should be noted that, at least in aggregate terms, the results are fairly comparable, since, in
each case, one question or another detects percentages of the population between 68% and 78% that
believe that there is not equality under the law, or that there is not equal access to justice, or that there
is little or no equality under the law.

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Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

Thus, we have opted to leave pending the inclusion of some measure of
perceived fairness of the justice system.
Lastly, the need to fund public policy by increasing the tax burden makes
citizen support all the more important, and this requires reducing hostility
to taxes, which is still very high in the region. Doing this depends in turn on
citizens’ feeling that the State will make good use of the resources it obtains
through taxes (see figure VI.4). In this respect, the Latinobarómetro indicators,
which inquire into these issues, and for which data series are available, are:
the proportion of people who have confidence that the money obtained from taxes will be
spent well by the State, and the percentage of individuals who believe that the tax burden
is high or very high.
■■

Figure VI.4

Latin america (18 countries): population that believes that the tax burden is very high, broken down by
confidence in spending of tax monies, and by social gaps in the countries,a 2003 and 2005

Small gaps

Medium gaps

Trusts

High gaps

Does not trust

Source: Economic Commission for Latin America and the Caribbean (ECLAC), América Latina frente al espejo. Dimensiones
objetivas y subjetivas de la inequidad social y el bienestar en la región, Santiago, Chile, in press, 2009.
 The questions used in the Latinobarómetro are: “Everything considered, do you think that the levels of taxes paid in [country
name] are very high, somewhat high, somewhat low or very low, or that they are fine?” and “Are you confident that the money
from taxes will be spent well by the State?”.

a

E. Summary and major challenges

Table VI.7 shows the list of key indicators of social cohesion. Besides the
fact that the list represents a substantial reduction from the proposal that
ECLAC put forth in 2007,28 this exercise made it possible to analyse in more
depth the concept and frame of reference that ECLAC had developed, and
which it used as a starting point to select indicators of social cohesion in
Latin America. Thus, it offers a revised concept of cohesion and a new list of
the components of cohesion (which have been renamed “pillars,” adopting


28

190

The original ECLAC list had 59 indicators.

Social cohesion in Latin America: concepts, frames of reference and Indicators

the metaphor proposed by Rodrigo Márquez in a previous chapter). The
result is that the boundaries between the pillars have been modified, that the
notion of “belonging” has been put in parentheses, so to speak, and that
citizen support has been designated as the subjective pillar of cohesion in
the specific area of public policy.
■■

Table VI.7

List of key indicators of social cohesion

Gaps
1.

Percentage of persons under the
poverty line

Institutional capacity

Citizen support
1.

Support for democracy

Corruption index

2.

Confidence in the institutions of the State
and the political parties

3.

Perceived fairness of income distribution

4.

Perception of tax burden

5.

Confidence in quality of public spending

6.

Percentage of population that believes
that their children will live better than
they have

Ratio between extreme income quintiles

3.

Percentage of women in parliament

2.
2.

1.

Open employment rate

3.
4.
5.

Urban workers employed in lowproductivity sectors
Wages as a function of gender and
educational level (ratios)

Per capita social spending

4.

Tax burden as percentage of GDP

5.

Per capita GDP

6.

Inflation rate

7.
6.

Employed individuals contributing to
pension/insurance plans

7.

Percentage who have completed
secondary school

8.

Net pre-school matriculation rate

9.

Percentage of women 15 and older
devoted exclusively to household tasks

Infant mortality rate

10. Life expectancy
11. Undernourished population
12. Population with access to improved
supply of healthy drinking water
Source: Prepared by the author.

Certainly, the conceptual, methodological and practical challenges that
must be met to advance in measuring social cohesion in a more or less reliable
way while putting the issue on the agendas of the region’s countries are still
myriad. Below, we sketch them briefly, beginning with the conceptual and
methodological issues, and concluding with a discussion of the strategy that
will be required if social cohesion is to attain an important place on public
policy agendas in the Latin American countries. More than answers, this
summary of points should be considered a list of questions remaining to
be answered.
Is social cohesion “a complex characteristic of societies” (León, 2009) that can be
reduced to a single dimension? (On this question, see the paper by Roxana
Maurizio in this book.) Can social cohesion be seen as a latent factor that
191

Chapter VI

Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

explains the variability in gaps, institutions and citizen support? Of course,
it can be thought of and modelled that way, like any other multidimensional
construct of development. The question is whether there is a solid basis for
such a conceptual approach, aside from the rating points that could be gained
from the “creative destruction” of quality by a numerical value.
The first thing that must be reiterated is that social cohesion as defined
in this article is both a normative formulation and a metaphor29 that provides a
vision of the collective effort needed to reach certain standards of development
(reduced gaps). It is desirable —leaving aside the conceptual problems and data
constraints— for institutions to reduce gaps with support (and even a sense of
belonging) on the part of citizens. But there is a considerable distance between
this expression of good intentions and the statement that social cohesion is a
characteristic or property of social societies or systems.
It is not that the normative nature of the concept of social cohesion
a priori excludes the possibility of a numerical synthesis. Science constructs
theories that model relationships between data that are representations of
different aspects of reality. Doing so in this case, however, requires some
plausible theory regarding the relations between the pillars of cohesion that
can be modelled conceptually and tested empirically. Thus, the best approach
would seem to be to continue to strengthen and validate the pillars before
putting forth any conceptual scheme to describe their relationships at the
aggregate level.
Is a notion of cohesion sustainable that translates into a simple sum
—or weighted sum— of the values its components, or pillars? Such linearity,
which could be appropriate in the case of the relationship between institutions
and gaps, will not necessarily work once the subjective pillar is added to the
mix, even if only the most easily observable aspects are involved. What
does the little evidence available in Latin America indicate? It indicates, for
example, that perceptions of distributive justice are not correlated with the
Gini coefficient, and that hostility to taxation is not associated with actual tax
burden. Moreover, it suggests that some relationships between subjective and
objective factors may not be linear (for more detail, see ECLAC, 2009).
Along this line, efforts must continue to attempt to validate the subjective
indicators and advance in understanding their relationships with objective measures. To
date, there has been virtually no strong research validating the indicators of
the subjective pillar, and there is little chance under current conditions that
“the market will provide”. This is a serious problem, for a decision maker is at
considerable risk in considering an item as an indicator of “a” when it actually


29

192

In a way, this is an analogy between society and the human body, since it refers to the contribution of
the parts to the whole. Here, we might invoke Oedipus’s answer to the Sphinx’s riddle: It is a man!

Social cohesion in Latin America: concepts, frames of reference and Indicators

measures a*b*c. At the same time, specifying a priori a set of dimensions to
be evaluated entails the risk of artificially creating an attitudinal domain or field
that does not actually exist. Validating the subjective indicators is a necessary
condition for constructing a theory that opens the door to understanding
the relations between the subjective and the objective. If we do not have a
clear understanding of what “something” is, it will be difficult to know how
it relates with another “something.”
Another challenge that must be faced is how to conceptualise and
measure belonging. Although the theme’s relevance and appeal are undeniable,
the available conceptual frameworks do not provide clear answers to the
questions regarding “belongings” at different levels and their relationship with
cohesion. Moreover, belonging is not consubstantial with subjectivity, because
social ties and relationships also have material expressions. This means that
more efforts will be needed to improve the conceptual frameworks and the
indicators of belonging.
In addition to the problems of reduction, there are the requirements
to incorporate new thematic areas into the system of indicators —for example, the
environment and sustainable development, urban residential segregation and
the types of segmentation associated with it, and the new information and
communication technologies. The decision to integrate these new ingredients
has been postponed, since it involves various difficulties that have yet to be
dealt with. In the case of the environment, the problems are conceptual.
Despite the fact that the article by Canal and others in this book states that
social cohesion and the environment are two “interacting and mutually
modifying subsystems”, social cohesion, as the diagram in figure V.1 shows,
is a part of the more general reality of the ecosystemic base. Naturally, the
perspective underlying the relationships between the two systems creates room
for a set of pigeonholes in the system of social cohesion indicators. However,
it is also plausible that the subject of the environment itself could be fertile
ground for a special system of indicators.30 The problems with the subjects
of urban residential segregation and new information and communication
technologies are basically data problems.
As indicated earlier, the main challenge is to design and implement
a strategy that allows us to advance significantly in putting social cohesion in a central
place on national agendas. The strategy followed to date has placed priority on
creating the conditions for creating an aggregate regional view. This has
involved activities to validate conceptual and operational frameworks with


30

Strictly speaking, what the work of Canal and others does is to produce the scaffolding for a special
system of indicators in a field that could be called environmental cohesion. In fact, the idea of differentiating
different areas of cohesion has been followed up in various recent pieces of work in Europe, for example,
Gallina and Ferrugia (2007) and Maier (2008).

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Towards a nucleus of key indicators of social cohesion: one step back, two steps forward

the participation of various actors. Although there was a rationale for such
an approach in the first phase of the effort to put the subject on the agenda
in Latin America, today there is a need for mechanisms by which the actors
involved in national policy can move from being spectators to taking a much
more protagonistic and autonomous role.
One possible strategy to achieve greater appropriation of the ECLAC
approach to social cohesion on the part of national social policy actors is to conduct
systematic activities to create awareness and provide technical assistance, so
as to ensure that the basic competencies needed to monitor social cohesion
within the countries are present, and to ensure that national actors can
develop their own national reports on social cohesion in a sufficiently autonomous
way. A strategy of this type would make it possible to translate into action
the principal strength of the ECLAC approach to social cohesion, which
provides a conceptual and methodological toolkit for exploring and relating
different dimensions of development (its dialectic) in a way that addresses
national realities.

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