Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://hdl.handle.net/1843/59813 |
Resumo: | 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 EQGwill 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 |
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2023-10-20T18:50:49Z2023-10-20T18:50:49Z20227530113915910.13133/2037-3643/177842037-3635http://hdl.handle.net/1843/59813The 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 EQGwill 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 2014O objetivo do presente artigo é aprofundar a linha de pesquisa iniciada por Oreiro et al. (2019) ao expandir a base de dados utilizada para calcular o EQI e o EQG, mas também para controlar os efeitos de outras variáveis que não o EQG, como o montante de capital por trabalhador, sobre o PCIG e para avaliar o impacto dos determinantes da o EQG, considerando fatores de preço e não-preço. Seguindo Tregenna e Andreoni (2020), o IQA será redefinido como a razão entre a participação da força de trabalho nos setores de alta intensidade tecnológica em relação à participação da força de trabalho nos setores de média e baixa intensidade tecnológica. O EQG será então utilizado como variável independente para explicar o comportamento do PCIG de uma amostra de 47 países em desenvolvimento da América Latina, Caribe, Oriente Médio, África e Ásia de 2001 a 2014engUniversidade Federal de Minas GeraisUFMGBrasilFCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICASPSL Quarterly ReviewMao de obra qualificadaTecnologiaStructural changeEconomic developmentEmployment quality gapMeasuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gapinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://rosa.uniroma1.it/rosa04/psl_quarterly_review/article/view/17784/16859José Luís da Costa OreiroStefan Wilson D'amatoLuciano Luiz Manarin DagostiniPaulo Sérgio de Oliveira Simões Galainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/59813/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALMeasuring the technological backwardness.pdfMeasuring the technological backwardness.pdfapplication/pdf1915706https://repositorio.ufmg.br/bitstream/1843/59813/2/Measuring%20the%20technological%20backwardness.pdf39080bc0aa4b9e83e382dc57d4435779MD521843/598132023-10-23 17:09:21.66oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-23T20:09:21Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
title |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
spellingShingle |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap José Luís da Costa Oreiro Structural change Economic development Employment quality gap Mao de obra qualificada Tecnologia |
title_short |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
title_full |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
title_fullStr |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
title_full_unstemmed |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
title_sort |
Measuring technological backwardness of middle-and low-income countries: the employment quality gap and its relationship with per-capita income gap |
author |
José Luís da Costa Oreiro |
author_facet |
José Luís da Costa Oreiro Stefan Wilson D'amato Luciano Luiz Manarin Dagostini Paulo Sérgio de Oliveira Simões Gala |
author_role |
author |
author2 |
Stefan Wilson D'amato Luciano Luiz Manarin Dagostini Paulo Sérgio de Oliveira Simões Gala |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
José Luís da Costa Oreiro Stefan Wilson D'amato Luciano Luiz Manarin Dagostini Paulo Sérgio de Oliveira Simões Gala |
dc.subject.por.fl_str_mv |
Structural change Economic development Employment quality gap |
topic |
Structural change Economic development Employment quality gap Mao de obra qualificada Tecnologia |
dc.subject.other.pt_BR.fl_str_mv |
Mao de obra qualificada Tecnologia |
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 EQGwill 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 |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-10-20T18:50:49Z |
dc.date.available.fl_str_mv |
2023-10-20T18:50:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/59813 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.13133/2037-3643/17784 |
dc.identifier.issn.pt_BR.fl_str_mv |
2037-3635 |
identifier_str_mv |
10.13133/2037-3643/17784 2037-3635 |
url |
http://hdl.handle.net/1843/59813 |
dc.language.iso.fl_str_mv |
eng |
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eng |
dc.relation.ispartof.none.fl_str_mv |
PSL Quarterly Review |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
FCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
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reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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UFMG |
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UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG |
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