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

Detalhes bibliográficos
Autor(a) principal: José Luís da Costa Oreiro
Data de Publicação: 2022
Outros Autores: Stefan Wilson D'amato, Luciano Luiz Manarin Dagostini, Paulo Sérgio de Oliveira Simões Gala
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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spelling 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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dc.relation.ispartof.none.fl_str_mv PSL Quarterly Review
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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
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
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