Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks

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cepal.articleNo8
cepal.bibLevelSección o Parte de un Documento
cepal.callNumberLC/PUB.2020/4-P
cepal.docTypeRevistas
cepal.jelCodeC46
cepal.jelCodeO47
cepal.jelCodeO33
cepal.jobNumberRVI130_Diaz
cepal.physicalDescriptiongráficos., tablas.
cepal.regionalOfficeSantiago
cepal.sdg8
cepal.sdg9
cepal.topicEngEMPLOYMENT
cepal.topicEngINFORMATION AND COMMUNICATIONS TECHNOLOGIES (ICTS)
cepal.topicEngINNOVATION, SCIENCE AND TECHNOLOGY
cepal.topicEngPRODUCTIVITY
cepal.topicSpaEMPLEO
cepal.topicSpaINNOVACIÓN, CIENCIA Y TECNOLOGÍA
cepal.topicSpaPRODUCTIVIDAD
cepal.topicSpaTECNOLOGÍAS DE LA INFORMACIÓN Y LAS COMUNICACIONES (TIC)
cepal.workareaEngECONOMIC DEVELOPMENT
cepal.workareaEngPRODUCTION, PRODUCTIVITY AND MANAGEMENT
cepal.workareaSpaDESARROLLO ECONÓMICO
cepal.workareaSpaDESARROLLO PRODUCTIVO Y EMPRESARIAL
dc.contributor.authorDíaz Rodríguez, Héctor Eduardo
dc.contributor.authorAroche Reyes, Fidel
dc.coverage.spatialEngMEXICO
dc.coverage.spatialSpaMEXICO
dc.date.accessioned2020-09-01T21:23:54Z
dc.date.available2020-09-01T21:23:54Z
dc.date.issued2020-04-20
dc.description.abstractThe widespread adoption of information and communications technology (ICT) has increased research on the link between such technology and economic growth. The use of ICT has a significant impact on growth, but studies tend to ignore the determinants of this use and the differing conditions across the companies, industries and countries that adopt them. In this study, we analyse the determinants of the differentiated impact of ICT on labour productivity growth in Mexican companies, using microdata from the ICT survey of the National Institute of Statistics and Geography (INEGI) and based on factor analysis and artificial neural network techniques. The results indicate that the strength of companies’ links with the external sector and their capacities (educational level of staff and organizational maturity) determine the impact of ICT on labour productivity in Mexico.
dc.formatTexto
dc.format.extentpáginas. 149-16
dc.format.mimetypeapplication/pdf
dc.identifier.unSymbolLC/PUB.2020/4-P
dc.identifier.urihttps://hdl.handle.net/11362/45980
dc.language.isoeng
dc.physicalDescriptionp. 149-166: gráfs., tabls.
dc.relation.isPartOfCEPAL Review
dc.relation.isPartOfNo130
dc.relation.isPartOfSeriesCEPAL Review
dc.relation.translationLanguagespa
dc.relation.translationRecordDeterminantes de la productividad laboral en México: una aproximación desde la teoría del crecimiento endógeno con redes neuronales artificiales
dc.relation.translationUrihttps://hdl.handle.net/11362/45429
dc.rights.coarDisponible
dc.subject.unbisEngEMPLOYMENT
dc.subject.unbisEngLABOUR
dc.subject.unbisEngLABOUR PRODUCTIVITY
dc.subject.unbisEngINNOVATIONS
dc.subject.unbisEngINFORMATION TECHNOLOGY
dc.subject.unbisEngCOMMUNICATION TECHNOLOGY
dc.subject.unbisEngCOMPUTER NETWORKS
dc.subject.unbisSpaEMPLEO
dc.subject.unbisSpaTRABAJO
dc.subject.unbisSpaPRODUCTIVIDAD DEL TRABAJO
dc.subject.unbisSpaINNOVACIONES
dc.subject.unbisSpaTECNOLOGIA DE LA INFORMACION
dc.subject.unbisSpaTECNOLOGIA DE LAS COMUNICACIONES
dc.subject.unbisSpaREDES DE COMPUTADORAS
dc.titleDeterminants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
dc.type.coarrevista
dspace.entity.typePublication
relation.isAuthorOfPublication366bfb07-96cb-438a-8123-2f3efec5d6a9
relation.isAuthorOfPublicationd3627134-2214-4dc8-9fb4-54a3d730a26c
relation.isAuthorOfPublication.latestForDiscovery366bfb07-96cb-438a-8123-2f3efec5d6a9
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