Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019

Detalhes bibliográficos
Autor(a) principal: de Vasconcelos Souza, Diego
Data de Publicação: 2023
Outros Autores: Jorge Alves, Pedro
Tipo de documento: Artigo
Idioma: por
Título da fonte: Economia Ensaios
Texto Completo: https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/61526
Resumo: This paper aims to identify the determinants of labor productivity in the Brazilian regions for 2012-2019. With data from PNADC (National Continuous Household Survey), a panel fixed-effect analysis and a quantile regression were used to detect the determinants of productivity. The results indicate that in all regions the majority of the population is male and that the service sector employs the most workers. Regarding the income variable, the Northeast region has the lowest remuneration, and the Midwest region stands out with the highest. It can be inferred that the variables education, public and formal, are statistically significant and have a positive impact on productivity in all Brazilian regions for 2012 and 2019. Through the quantile regression estimated for Brazil, it was found that for the year 2012, productivity can be explained for the lower quantiles, while in 2019, the significance of the data had an impact on the larger quantiles.
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spelling Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019Análise dos determinantes da produtividade do trabalho nas regiões brasileiras nos períodos 2012 e 2019Produtividadedados em painelregiões brasileirasProductivitypanel dataBrazilian regionsThis paper aims to identify the determinants of labor productivity in the Brazilian regions for 2012-2019. With data from PNADC (National Continuous Household Survey), a panel fixed-effect analysis and a quantile regression were used to detect the determinants of productivity. The results indicate that in all regions the majority of the population is male and that the service sector employs the most workers. Regarding the income variable, the Northeast region has the lowest remuneration, and the Midwest region stands out with the highest. It can be inferred that the variables education, public and formal, are statistically significant and have a positive impact on productivity in all Brazilian regions for 2012 and 2019. Through the quantile regression estimated for Brazil, it was found that for the year 2012, productivity can be explained for the lower quantiles, while in 2019, the significance of the data had an impact on the larger quantiles.Este artigo tem como objetivo identificar os determinantes da produtividade do trabalho nas regiões brasileiras para os anos de 2012 e 2019. Com os dados da PNADC (Pesquisa Nacional por Amostra de Domicílios Contínua), utilizou-se uma análise de efeito fixo para painel e uma regressão quantílica para detectar os determinantes da produtividade. Os resultados indicam que em todas as regiões a maioria da população é masculina e que o setor de serviços é o que mais ocupa trabalhadores. Em torno da variável “rendimento”, a região Nordeste é a que apresenta menor remuneração e a região Centro Oeste se destaca com a maior. Pode-se inferir que as variáveis escolaridade, público e formalidade do trabalhador são significantes estatisticamente e impactam positivamente na produtividade em todas as regiões brasileiras para os anos de 2012 e 2019. Mediante regressão quantílica estimada para o Brasil, apurou-se que para o ano de 2012 a produtividade consegue ser explicada para os quantis mais baixos, enquanto que em 2019, a significância dos dados teve um impacto nos quantis maiores.EDUFU2023-04-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/6152610.14393/REE-v38n1a2023-61526Revista Economia Ensaios; Vol. 38 No. 1 (2023)Revista Economia Ensaios; v. 38 n. 1 (2023)1983-19940102-2482reponame:Economia Ensaiosinstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/61526/35989Copyright (c) 2023 Revista Economia Ensaiosinfo:eu-repo/semantics/openAccessde Vasconcelos Souza, DiegoJorge Alves, Pedro2023-04-26T16:18:33Zoai:ojs.www.seer.ufu.br:article/61526Revistahttps://seer.ufu.br/index.php/revistaeconomiaensaiosPUBhttps://seer.ufu.br/index.php/revistaeconomiaensaios/oai||ecoensaios@ufu.br|| ecoensaios@ufu.br1983-19940102-2482opendoar:2023-04-26T16:18:33Economia Ensaios - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
Análise dos determinantes da produtividade do trabalho nas regiões brasileiras nos períodos 2012 e 2019
title Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
spellingShingle Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
de Vasconcelos Souza, Diego
Produtividade
dados em painel
regiões brasileiras
Productivity
panel data
Brazilian regions
title_short Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
title_full Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
title_fullStr Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
title_full_unstemmed Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
title_sort Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019
author de Vasconcelos Souza, Diego
author_facet de Vasconcelos Souza, Diego
Jorge Alves, Pedro
author_role author
author2 Jorge Alves, Pedro
author2_role author
dc.contributor.author.fl_str_mv de Vasconcelos Souza, Diego
Jorge Alves, Pedro
dc.subject.por.fl_str_mv Produtividade
dados em painel
regiões brasileiras
Productivity
panel data
Brazilian regions
topic Produtividade
dados em painel
regiões brasileiras
Productivity
panel data
Brazilian regions
description This paper aims to identify the determinants of labor productivity in the Brazilian regions for 2012-2019. With data from PNADC (National Continuous Household Survey), a panel fixed-effect analysis and a quantile regression were used to detect the determinants of productivity. The results indicate that in all regions the majority of the population is male and that the service sector employs the most workers. Regarding the income variable, the Northeast region has the lowest remuneration, and the Midwest region stands out with the highest. It can be inferred that the variables education, public and formal, are statistically significant and have a positive impact on productivity in all Brazilian regions for 2012 and 2019. Through the quantile regression estimated for Brazil, it was found that for the year 2012, productivity can be explained for the lower quantiles, while in 2019, the significance of the data had an impact on the larger quantiles.
publishDate 2023
dc.date.none.fl_str_mv 2023-04-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/61526
10.14393/REE-v38n1a2023-61526
url https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/61526
identifier_str_mv 10.14393/REE-v38n1a2023-61526
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/61526/35989
dc.rights.driver.fl_str_mv Copyright (c) 2023 Revista Economia Ensaios
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Revista Economia Ensaios
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Revista Economia Ensaios; Vol. 38 No. 1 (2023)
Revista Economia Ensaios; v. 38 n. 1 (2023)
1983-1994
0102-2482
reponame:Economia Ensaios
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Economia Ensaios
collection Economia Ensaios
repository.name.fl_str_mv Economia Ensaios - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||ecoensaios@ufu.br|| ecoensaios@ufu.br
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