Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap

The aim of the present article is to further develop the line of research initiated by Oreiro et al. (2019) by expanding the database used to calculate the EQI and the EQG, but also to control the effects of variables other than the EQG, such as the amount of capital per worker, over the PCIG and t...

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Main Authors: José Luis Da Costa Oreiro, Stefan Wilson D'Amato, Luciano Luiz Manarin D'Agostini, Paulo Sérgio De Oliveira Simões Gala
Format: Article
Language:English
Published: Associazione Economia civile 2022-06-01
Series:PSL Quarterly Review
Subjects:
Online Access:https://rosa.uniroma1.it/rosa04/psl_quarterly_review/article/view/17784
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author José Luis Da Costa Oreiro
Stefan Wilson D'Amato
Luciano Luiz Manarin D'Agostini
Paulo Sérgio De Oliveira Simões Gala
author_facet José Luis Da Costa Oreiro
Stefan Wilson D'Amato
Luciano Luiz Manarin D'Agostini
Paulo Sérgio De Oliveira Simões Gala
author_sort José Luis Da Costa Oreiro
collection DOAJ
description The aim of the present article is to further develop the line of research initiated by Oreiro et al. (2019) by expanding the database used to calculate the EQI and the EQG, but also to control the effects of variables other than the EQG, such as the amount of capital per worker, over the PCIG and to assess the impact of the determinants of the EQG, considering both price and non-price factors. Following Tregenna and Andreoni (2020), the EQI will be redefined as the ratio between the share of the workforce in the sectors of high technological intensity with respect to the share of the workforce in the sectors of medium and low technological intensity. The EQG will then be used as an independent variable to explain the behavior of the PCIG of a sample of 47 developing countries in Latin America, the Caribbean, the Middle East, Africa, and Asia from 2001 to 2014.   JEL codes:  C51, E24, O11
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spelling doaj.art-42caa57e1c5042c4aaee8c157ff809ba2023-02-03T16:42:08ZengAssociazione Economia civilePSL Quarterly Review2037-36352037-36432022-06-017530110.13133/2037-3643/17784Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gapJosé Luis Da Costa OreiroStefan Wilson D'AmatoLuciano Luiz Manarin D'AgostiniPaulo Sérgio De Oliveira Simões Gala The aim of the present article is to further develop the line of research initiated by Oreiro et al. (2019) by expanding the database used to calculate the EQI and the EQG, but also to control the effects of variables other than the EQG, such as the amount of capital per worker, over the PCIG and to assess the impact of the determinants of the EQG, considering both price and non-price factors. Following Tregenna and Andreoni (2020), the EQI will be redefined as the ratio between the share of the workforce in the sectors of high technological intensity with respect to the share of the workforce in the sectors of medium and low technological intensity. The EQG will then be used as an independent variable to explain the behavior of the PCIG of a sample of 47 developing countries in Latin America, the Caribbean, the Middle East, Africa, and Asia from 2001 to 2014.   JEL codes:  C51, E24, O11 https://rosa.uniroma1.it/rosa04/psl_quarterly_review/article/view/17784Structural changeeconomic developmentemployment quality gap
spellingShingle José Luis Da Costa Oreiro
Stefan Wilson D'Amato
Luciano Luiz Manarin D'Agostini
Paulo Sérgio De Oliveira Simões Gala
Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap
PSL Quarterly Review
Structural change
economic development
employment quality gap
title Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap
title_full Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap
title_fullStr Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap
title_full_unstemmed Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap
title_short Measuring the technological backwardness of middle- and low-income countries: The employment quality gap and its relationship with the per capita income gap
title_sort measuring the technological backwardness of middle and low income countries the employment quality gap and its relationship with the per capita income gap
topic Structural change
economic development
employment quality gap
url https://rosa.uniroma1.it/rosa04/psl_quarterly_review/article/view/17784
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