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

The 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 th...

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Autores principales:	Díaz Rodríguez, Héctor Eduardo, Aroche Reyes, Fidel
Formato:	Texto
Lenguaje:	English
Publicado:	2020
Materias:	EMPLEO TRABAJO PRODUCTIVIDAD DEL TRABAJO INNOVACIONES TECNOLOGIA DE LA INFORMACION TECNOLOGIA DE LAS COMUNICACIONES REDES DE COMPUTADORAS EMPLOYMENT LABOUR LABOUR PRODUCTIVITY INNOVATIONS INFORMATION TECHNOLOGY COMMUNICATION TECHNOLOGY COMPUTER NETWORKS
Acceso en línea:	http://hdl.handle.net/11362/45980
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spelling	oai-11362-459802020-09-02T19:18:24Z Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks Díaz Rodríguez, Héctor Eduardo Aroche Reyes, Fidel EMPLEO TRABAJO PRODUCTIVIDAD DEL TRABAJO INNOVACIONES TECNOLOGIA DE LA INFORMACION TECNOLOGIA DE LAS COMUNICACIONES REDES DE COMPUTADORAS EMPLOYMENT LABOUR LABOUR PRODUCTIVITY INNOVATIONS INFORMATION TECHNOLOGY COMMUNICATION TECHNOLOGY COMPUTER NETWORKS The 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. 2020-09-01T21:23:54Z 2020-09-01T21:23:54Z 2020-04-20 Texto Sección o Parte de un Documento http://hdl.handle.net/11362/45980 LC/PUB.2020/4-P 8 en CEPAL Review CEPAL Review 130 .pdf application/pdf MEXICO MEXICO
institution	Cepal
collection	Cepal
language	English
topic	EMPLEO TRABAJO PRODUCTIVIDAD DEL TRABAJO INNOVACIONES TECNOLOGIA DE LA INFORMACION TECNOLOGIA DE LAS COMUNICACIONES REDES DE COMPUTADORAS EMPLOYMENT LABOUR LABOUR PRODUCTIVITY INNOVATIONS INFORMATION TECHNOLOGY COMMUNICATION TECHNOLOGY COMPUTER NETWORKS
spellingShingle	EMPLEO TRABAJO PRODUCTIVIDAD DEL TRABAJO INNOVACIONES TECNOLOGIA DE LA INFORMACION TECNOLOGIA DE LAS COMUNICACIONES REDES DE COMPUTADORAS EMPLOYMENT LABOUR LABOUR PRODUCTIVITY INNOVATIONS INFORMATION TECHNOLOGY COMMUNICATION TECHNOLOGY COMPUTER NETWORKS Díaz Rodríguez, Héctor Eduardo Aroche Reyes, Fidel Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
description	The 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.
format	Texto
author	Díaz Rodríguez, Héctor Eduardo Aroche Reyes, Fidel
author_facet	Díaz Rodríguez, Héctor Eduardo Aroche Reyes, Fidel
author_sort	Díaz Rodríguez, Héctor Eduardo
title	Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
title_short	Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
title_full	Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
title_fullStr	Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
title_full_unstemmed	Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks
title_sort	determinants of labour productivity in mexico: an approach from the endogenous growth theory using artificial neural networks
publishDate	2020
url	http://hdl.handle.net/11362/45980
work_keys_str_mv	AT diazrodriguezhectoreduardo determinantsoflabourproductivityinmexicoanapproachfromtheendogenousgrowththeoryusingartificialneuralnetworks AT arochereyesfidel determinantsoflabourproductivityinmexicoanapproachfromtheendogenousgrowththeoryusingartificialneuralnetworks
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Determinants of labour productivity in Mexico: an approach from the endogenous growth theory using artificial neural networks

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