Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities

Detalhes bibliográficos
Autor(a) principal: Brambilla, Marcos Aurélio
Data de Publicação: 2021
Outros Autores: da Cunha, Marina Silva
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/3397
Resumo: The aim of the present study was to analyze the spatial distribution of multidimensional poverty in Brazilian municipalities considering the Minimally Comparable Areas (AMC) and its convergence in the years 1991, 2000 and 2010. For this purpose, a Multidimensional Poverty Index (MPI) the exploratory analysis of spatial data was performed and the spatial econometric approach was used to verify the convergence of multidimensional poverty. The results indicated that housing conditions and demography were the dimensions that contributed most to multidimensional poverty, and the dimensions of health and sanitation and income contributed most to the reduction of multidimensional poverty. The study also pointed out that Brazil showed absolute convergence and multidimensional poverty convergence clubs, especially from 2000 to 2010. In addition, the dimensions of work and housing conditions have contributed most to the convergence of multidimensional poverty.
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spelling Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalitiesPobreza multidimensional no Brasil, 1991, 2000 e 2010: uma abordagem espacial para os municípios brasileirospobreza multidimensionalconvergênciaeconometria espacialmultidimensional povertyconvergencespatial econometricsThe aim of the present study was to analyze the spatial distribution of multidimensional poverty in Brazilian municipalities considering the Minimally Comparable Areas (AMC) and its convergence in the years 1991, 2000 and 2010. For this purpose, a Multidimensional Poverty Index (MPI) the exploratory analysis of spatial data was performed and the spatial econometric approach was used to verify the convergence of multidimensional poverty. The results indicated that housing conditions and demography were the dimensions that contributed most to multidimensional poverty, and the dimensions of health and sanitation and income contributed most to the reduction of multidimensional poverty. The study also pointed out that Brazil showed absolute convergence and multidimensional poverty convergence clubs, especially from 2000 to 2010. In addition, the dimensions of work and housing conditions have contributed most to the convergence of multidimensional poverty.O presente estudo analisa a distribuição espacial da pobreza multidimensional nos municípios brasileiros considerando as Áreas Minimamente Comparáveis (AMC) e sua convergência nos anos de 1991, 2000 e 2010. Para isso, foi construído um Índice de Pobreza Multidimensional (IPM), realizada a análise exploratória de dados espaciais (AEDE) e, para verificar a convergência da pobreza multidimensional, utilizou-se a abordagem de econometria espacial. Os resultados indicaram que condições de habitação e demografia foram as dimensões que mais contribuíram para a pobreza multidimensional, e as dimensões de saúde e saneamento e renda são as que mais contribuíram para a redução da pobreza multidimensional. O estudo também apontou que o Brasil apresentou convergência absoluta e clubes de convergência da pobreza multidimensional, especialmente de 2000 para 2010. Além disso, as dimensões trabalho e condições de habitação foram as que mais contribuíram para a convergência da pobreza multidimensional.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-12-22info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/339710.1590/0103-6351/6196porhttps://preprints.scielo.org/index.php/scielo/article/view/3397/6154Copyright (c) 2021 Marcos Aurélio Brambilla, Marina Silva da Cunhahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBrambilla, Marcos Aurélioda Cunha, Marina Silvareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-12-22T13:35:09Zoai:ops.preprints.scielo.org:preprint/3397Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-12-22T13:35:09SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
Pobreza multidimensional no Brasil, 1991, 2000 e 2010: uma abordagem espacial para os municípios brasileiros
title Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
spellingShingle Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
Brambilla, Marcos Aurélio
pobreza multidimensional
convergência
econometria espacial
multidimensional poverty
convergence
spatial econometrics
title_short Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
title_full Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
title_fullStr Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
title_full_unstemmed Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
title_sort Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities
author Brambilla, Marcos Aurélio
author_facet Brambilla, Marcos Aurélio
da Cunha, Marina Silva
author_role author
author2 da Cunha, Marina Silva
author2_role author
dc.contributor.author.fl_str_mv Brambilla, Marcos Aurélio
da Cunha, Marina Silva
dc.subject.por.fl_str_mv pobreza multidimensional
convergência
econometria espacial
multidimensional poverty
convergence
spatial econometrics
topic pobreza multidimensional
convergência
econometria espacial
multidimensional poverty
convergence
spatial econometrics
description The aim of the present study was to analyze the spatial distribution of multidimensional poverty in Brazilian municipalities considering the Minimally Comparable Areas (AMC) and its convergence in the years 1991, 2000 and 2010. For this purpose, a Multidimensional Poverty Index (MPI) the exploratory analysis of spatial data was performed and the spatial econometric approach was used to verify the convergence of multidimensional poverty. The results indicated that housing conditions and demography were the dimensions that contributed most to multidimensional poverty, and the dimensions of health and sanitation and income contributed most to the reduction of multidimensional poverty. The study also pointed out that Brazil showed absolute convergence and multidimensional poverty convergence clubs, especially from 2000 to 2010. In addition, the dimensions of work and housing conditions have contributed most to the convergence of multidimensional poverty.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-22
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/3397
10.1590/0103-6351/6196
url https://preprints.scielo.org/index.php/scielo/preprint/view/3397
identifier_str_mv 10.1590/0103-6351/6196
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/3397/6154
dc.rights.driver.fl_str_mv Copyright (c) 2021 Marcos Aurélio Brambilla, Marina Silva da Cunha
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Marcos Aurélio Brambilla, Marina Silva da Cunha
https://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 SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
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institution SCI
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repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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