Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Redes (Santa Cruz do Sul. Online) |
Texto Completo: | https://online.unisc.br/seer/index.php/redes/article/view/2680 |
Resumo: | Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators. |
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Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areasRacial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areasRacial segregation. Socioeconomic segregation. Metropolitan areas. Brazil.Racial segregationSocioeconomic segregationMetropolitan areasBrazilBrazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators.Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators. Keywords: Racial segregation; socioeconomic segregation; metropolitan areas; Brazil.Edunisc - Universidade de Santa Cruz do Sul2013-05-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/268010.17058/redes.v18i1.2680Redes ; Vol. 18 No. 1 (2013); 248-262Redes; Vol. 18 Núm. 1 (2013); 248-262Redes; Vol. 18 No. 1 (2013); 248-262Redes; v. 18 n. 1 (2013); 248-2621982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporhttps://online.unisc.br/seer/index.php/redes/article/view/2680/2510de Lima Amaral, Ernesto Friedrichinfo:eu-repo/semantics/openAccess2019-10-03T17:47:14Zoai:ojs.online.unisc.br:article/2680Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2019-10-03T17:47:14Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false |
dc.title.none.fl_str_mv |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
title |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
spellingShingle |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas de Lima Amaral, Ernesto Friedrich Racial segregation. Socioeconomic segregation. Metropolitan areas. Brazil. Racial segregation Socioeconomic segregation Metropolitan areas Brazil |
title_short |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
title_full |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
title_fullStr |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
title_full_unstemmed |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
title_sort |
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas |
author |
de Lima Amaral, Ernesto Friedrich |
author_facet |
de Lima Amaral, Ernesto Friedrich |
author_role |
author |
dc.contributor.author.fl_str_mv |
de Lima Amaral, Ernesto Friedrich |
dc.subject.por.fl_str_mv |
Racial segregation. Socioeconomic segregation. Metropolitan areas. Brazil. Racial segregation Socioeconomic segregation Metropolitan areas Brazil |
topic |
Racial segregation. Socioeconomic segregation. Metropolitan areas. Brazil. Racial segregation Socioeconomic segregation Metropolitan areas Brazil |
description |
Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-05-03 |
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://online.unisc.br/seer/index.php/redes/article/view/2680 10.17058/redes.v18i1.2680 |
url |
https://online.unisc.br/seer/index.php/redes/article/view/2680 |
identifier_str_mv |
10.17058/redes.v18i1.2680 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://online.unisc.br/seer/index.php/redes/article/view/2680/2510 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Edunisc - Universidade de Santa Cruz do Sul |
publisher.none.fl_str_mv |
Edunisc - Universidade de Santa Cruz do Sul |
dc.source.none.fl_str_mv |
Redes ; Vol. 18 No. 1 (2013); 248-262 Redes; Vol. 18 Núm. 1 (2013); 248-262 Redes; Vol. 18 No. 1 (2013); 248-262 Redes; v. 18 n. 1 (2013); 248-262 1982-6745 reponame:Redes (Santa Cruz do Sul. Online) instname:Universidade de Santa Cruz do Sul (UNISC) instacron:UNISC |
instname_str |
Universidade de Santa Cruz do Sul (UNISC) |
instacron_str |
UNISC |
institution |
UNISC |
reponame_str |
Redes (Santa Cruz do Sul. Online) |
collection |
Redes (Santa Cruz do Sul. Online) |
repository.name.fl_str_mv |
Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC) |
repository.mail.fl_str_mv |
redes_unisc_maff@terra.com.br||etges@unisc.br |
_version_ |
1800218768624844800 |