Decomposition of Brazil’s per capita income growth: a regional-sectoral approach
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/4197 |
Resumo: | The article measures the determinants of the Brazil's per capita income growth in the 2004-15 period, based on the role of productivity and variables related to the labor market and the demography. The investigation is carried out jointly in a regional (by Major Regions) and sectoral approach (contribution of each activity of the productive structure to the growth of each geographical unit). The role of productive efficiency and structural changes in the composition of employment and relative prices in this growth is highlighted. The article brings some contributions to the literature, mainly due to the empirical approach not yet explored within the regional and sectoral context. The results indicate important differences in the contributions of each component of the decomposition depending on the geographical unit analyzed, as well as relevant sectoral heterogeneities within and between such units. |
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Decomposition of Brazil’s per capita income growth: a regional-sectoral approachDecomposição do crescimento da renda per capita do Brasil: uma abordagem regional-setorialcontabilidade do crescimentoprodutividade e mudança estruturalmercado de trabalho e demografiaabordagem regional-setorialBrasil e grandes regiõesgrowth accountingproductivity and structural changelabor market and demographyregional-sectoral approachBrazil and Major RegionsThe article measures the determinants of the Brazil's per capita income growth in the 2004-15 period, based on the role of productivity and variables related to the labor market and the demography. The investigation is carried out jointly in a regional (by Major Regions) and sectoral approach (contribution of each activity of the productive structure to the growth of each geographical unit). The role of productive efficiency and structural changes in the composition of employment and relative prices in this growth is highlighted. The article brings some contributions to the literature, mainly due to the empirical approach not yet explored within the regional and sectoral context. The results indicate important differences in the contributions of each component of the decomposition depending on the geographical unit analyzed, as well as relevant sectoral heterogeneities within and between such units.Este artigo mensura os determinantes do crescimento da renda per capita do Brasil no período 2004-2015, a partir do papel da produtividade e de variáveis socioeconômicas e demográficas. A investigação é feita de forma conjunta em uma abordagem regional (por grandes regiões) e setorial (contribuição de cada um dos setores da estrutura produtiva para o crescimento da renda per capita de cada unidade geográfica). Explicita-se o papel da eficiência produtiva e das mudanças estruturais na composição do emprego e dos preços relativos nesse crescimento. O artigo traz algumas contribuições para a literatura, sobretudo pela abordagem empírica ainda não explorada dentro do contexto regional e setorial. Os resultados indicam diferenças importantes nas contribuições de cada componente da decomposição a depender da unidade geográfica analisada, bem como heterogeneidades setoriais relevantes dentro e entre as unidades geográficas.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-05-30info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/419710.1590/0103-6351/6968porhttps://preprints.scielo.org/index.php/scielo/article/view/4197/7954Copyright (c) 2022 Tomás Amaral Torezanihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTorezani, Tomás Amaralreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-05-30T15:21:44Zoai:ops.preprints.scielo.org:preprint/4197Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-05-30T15:21:44SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach Decomposição do crescimento da renda per capita do Brasil: uma abordagem regional-setorial |
title |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach |
spellingShingle |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach Torezani, Tomás Amaral contabilidade do crescimento produtividade e mudança estrutural mercado de trabalho e demografia abordagem regional-setorial Brasil e grandes regiões growth accounting productivity and structural change labor market and demography regional-sectoral approach Brazil and Major Regions |
title_short |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach |
title_full |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach |
title_fullStr |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach |
title_full_unstemmed |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach |
title_sort |
Decomposition of Brazil’s per capita income growth: a regional-sectoral approach |
author |
Torezani, Tomás Amaral |
author_facet |
Torezani, Tomás Amaral |
author_role |
author |
dc.contributor.author.fl_str_mv |
Torezani, Tomás Amaral |
dc.subject.por.fl_str_mv |
contabilidade do crescimento produtividade e mudança estrutural mercado de trabalho e demografia abordagem regional-setorial Brasil e grandes regiões growth accounting productivity and structural change labor market and demography regional-sectoral approach Brazil and Major Regions |
topic |
contabilidade do crescimento produtividade e mudança estrutural mercado de trabalho e demografia abordagem regional-setorial Brasil e grandes regiões growth accounting productivity and structural change labor market and demography regional-sectoral approach Brazil and Major Regions |
description |
The article measures the determinants of the Brazil's per capita income growth in the 2004-15 period, based on the role of productivity and variables related to the labor market and the demography. The investigation is carried out jointly in a regional (by Major Regions) and sectoral approach (contribution of each activity of the productive structure to the growth of each geographical unit). The role of productive efficiency and structural changes in the composition of employment and relative prices in this growth is highlighted. The article brings some contributions to the literature, mainly due to the empirical approach not yet explored within the regional and sectoral context. The results indicate important differences in the contributions of each component of the decomposition depending on the geographical unit analyzed, as well as relevant sectoral heterogeneities within and between such units. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/4197 10.1590/0103-6351/6968 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/4197 |
identifier_str_mv |
10.1590/0103-6351/6968 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/4197/7954 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Tomás Amaral Torezani https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Tomás Amaral Torezani https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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reponame:SciELO Preprints instname:SciELO instacron:SCI |
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SciELO |
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SCI |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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scielo.submission@scielo.org |
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1797047828600586240 |