Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019)
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta Scientiarum. Human and Social Sciences (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/56101 |
Resumo: | This article aims to analyze the effects of pro-poor growth in Brazil considering the states’ heterogeneity. For this, the panel data regression model with information from the Continuous PNAD from 2012 to 2019 was estimated. The variables analyzed were: average income (proxy to economic growth), income inequality, average schooling of people aged 25 and over, and the informality rate in the labor market. It is also intended to assess the relative importance of each of these variables in determining poverty in the country. The results showed that education and economic growth were pro-poor, while high income inequality and informality are factors that hinder poverty reduction. Schooling had the greatest impact on poverty reduction followed by a drop in income inequality. |
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Acta Scientiarum. Human and Social Sciences (Online) |
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Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019)Crescimento pró-pobre: uma análise da heterogeneidade nos estados brasileiros (2012-2019)income inequality; schooling; informality; poverty; average income.desigualdade de renda; escolaridade; informalidade; pobreza; renda média.This article aims to analyze the effects of pro-poor growth in Brazil considering the states’ heterogeneity. For this, the panel data regression model with information from the Continuous PNAD from 2012 to 2019 was estimated. The variables analyzed were: average income (proxy to economic growth), income inequality, average schooling of people aged 25 and over, and the informality rate in the labor market. It is also intended to assess the relative importance of each of these variables in determining poverty in the country. The results showed that education and economic growth were pro-poor, while high income inequality and informality are factors that hinder poverty reduction. Schooling had the greatest impact on poverty reduction followed by a drop in income inequality.Este artigo tem como objetivo analisar os efeitos do crescimento pró-pobre no Brasil considerando a heterogeneidade das suas unidades da federação. Para isso foi estimado o modelo de regressão de dados em painel com informações da PNAD Contínua de 2012 a 2019. As variáveis analisadas foram: renda média per capita (proxy do crescimento econômico), desigualdade de renda, escolaridade média das pessoas com 25 anos e mais e a taxa de informalidade no mercado de trabalho. Pretende-se ainda avaliar a importância relativa de cada uma dessas variáveis na determinação da pobreza no país. Os resultados mostraram que a educação e o crescimento econômico foram pró-pobres, enquanto a alta desigualdade de renda e informalização se constituem em fatores que dificultam a queda da pobreza. A escolaridade obteve o maior impacto na redução da pobreza seguida da diminuição da desigualdade de renda.Universidade Estadual De Maringá2021-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/5610110.4025/actascihumansoc.v43i1.56101Acta Scientiarum. Human and Social Sciences; Vol 43 No 1 (2021); e56101Acta Scientiarum. Human and Social Sciences; v. 43 n. 1 (2021); e561011807-86561679-7361reponame:Acta Scientiarum. Human and Social Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/56101/751375152547Copyright (c) 2021 Acta Scientiarum. Human and Social Scienceshttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Couto, Ana Cristina Lima Brito, Elohá Cabreira Silva, Claudeci da2021-09-09T12:25:47Zoai:periodicos.uem.br/ojs:article/56101Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/indexPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/oai||actahuman@uem.br1807-86561679-7361opendoar:2021-09-09T12:25:47Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) Crescimento pró-pobre: uma análise da heterogeneidade nos estados brasileiros (2012-2019) |
title |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) |
spellingShingle |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) Couto, Ana Cristina Lima income inequality; schooling; informality; poverty; average income. desigualdade de renda; escolaridade; informalidade; pobreza; renda média. |
title_short |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) |
title_full |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) |
title_fullStr |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) |
title_full_unstemmed |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) |
title_sort |
Pro-poor growth: an analysis of heterogeneity in Brazilian states (2012-2019) |
author |
Couto, Ana Cristina Lima |
author_facet |
Couto, Ana Cristina Lima Brito, Elohá Cabreira Silva, Claudeci da |
author_role |
author |
author2 |
Brito, Elohá Cabreira Silva, Claudeci da |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Couto, Ana Cristina Lima Brito, Elohá Cabreira Silva, Claudeci da |
dc.subject.por.fl_str_mv |
income inequality; schooling; informality; poverty; average income. desigualdade de renda; escolaridade; informalidade; pobreza; renda média. |
topic |
income inequality; schooling; informality; poverty; average income. desigualdade de renda; escolaridade; informalidade; pobreza; renda média. |
description |
This article aims to analyze the effects of pro-poor growth in Brazil considering the states’ heterogeneity. For this, the panel data regression model with information from the Continuous PNAD from 2012 to 2019 was estimated. The variables analyzed were: average income (proxy to economic growth), income inequality, average schooling of people aged 25 and over, and the informality rate in the labor market. It is also intended to assess the relative importance of each of these variables in determining poverty in the country. The results showed that education and economic growth were pro-poor, while high income inequality and informality are factors that hinder poverty reduction. Schooling had the greatest impact on poverty reduction followed by a drop in income inequality. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-16 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/56101 10.4025/actascihumansoc.v43i1.56101 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/56101 |
identifier_str_mv |
10.4025/actascihumansoc.v43i1.56101 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/56101/751375152547 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Acta Scientiarum. Human and Social Sciences http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Acta Scientiarum. Human and Social Sciences http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Human and Social Sciences; Vol 43 No 1 (2021); e56101 Acta Scientiarum. Human and Social Sciences; v. 43 n. 1 (2021); e56101 1807-8656 1679-7361 reponame:Acta Scientiarum. Human and Social Sciences (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Human and Social Sciences (Online) |
collection |
Acta Scientiarum. Human and Social Sciences (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actahuman@uem.br |
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1799317509674893312 |