Party affiliation: an important forgotten variable in Brazil

Detalhes bibliográficos
Autor(a) principal: Cervi, Emerson Urizzi
Data de Publicação: 2021
Outros Autores: Terron, Sonia, Soares, Glaucio Ary Dillon
Tipo de documento: Artigo
Idioma: por
Título da fonte: Opinião Pública (Online)
Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/op/article/view/8663870
Resumo: If we consider only the recent affiliated to political parties in Brazil, they are three times the votes received by Jânio Quadros in the 1960 presidential election. According to the database of the Brazilian electoral justice, about 16.8 million voters were members of political parties at the end of 2018: the equivalent of 11,4% of the electorate. How are these members distributed in Brazil? What variables explain the geographical differences of the affiliation? Our objectives are: 1) verify the growth of party affiliation in Brazilian municipalities in the 2014, 2016, 2018 election years; 2) analyze de variations between them, from a social-spatial perspective. It is an exploratory study. We use spatial-statistical and cartographic methods to analyze the party affiliationdatabase. We found a network of associations with socio-demographic, economic and electoral indicators. We wanted to know what changed, when it changed, where it changed, and what changed together. We identify patterns of associations that are presented in the article.
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spelling Party affiliation: an important forgotten variable in BrazilAfiliación partidista: una importante variable olvidada en BrasilFiliação partidária: uma importante variável esquecida no BrasilFiliação partidáriaDistribuição geográficaBrasilAfiliación partidariaDistribución geográficaBrasilParty affiliationGeographical distributionBrazilIf we consider only the recent affiliated to political parties in Brazil, they are three times the votes received by Jânio Quadros in the 1960 presidential election. According to the database of the Brazilian electoral justice, about 16.8 million voters were members of political parties at the end of 2018: the equivalent of 11,4% of the electorate. How are these members distributed in Brazil? What variables explain the geographical differences of the affiliation? Our objectives are: 1) verify the growth of party affiliation in Brazilian municipalities in the 2014, 2016, 2018 election years; 2) analyze de variations between them, from a social-spatial perspective. It is an exploratory study. We use spatial-statistical and cartographic methods to analyze the party affiliationdatabase. We found a network of associations with socio-demographic, economic and electoral indicators. We wanted to know what changed, when it changed, where it changed, and what changed together. We identify patterns of associations that are presented in the article.Si tomamos en cuenta solo a los afiliados recientes de los partidos políticos en Brasil, son tres veces los votos recibidos por Jânio Quadros en la elección presidencial de 1960. Según la base de datos de la justicia electoral brasileña, alrededor de 16,8 millones de votantes eran miembros de partidos políticos al final de 2018: el equivalente al 11,4% del electorado. ¿Cómo se distribuyen los partidarios en Brasil? ¿Qué variables explanan las diferencias geográficas de la afiliación? Nuestros objetivos son: 1) verificar el crecimiento de la afiliación partidaria en los municipios brasileños en los años electorales de 2014, 2016 y 2018; 2) analizar las variaciones entre ellos, desde una perspectiva socio espacial. Es un estudio exploratorio. Usamos métodos estadísticoespaciales y cartográficos para analizar la base en los datos de afiliación a partidos políticos. Encontramos una red de asociaciones con indicadores sociodemográficos, económicos y electorales. Queríamos saber que cambió, cuándo cambió, dónde cambió y qué cambió juntos. Identificamos patrones de asociaciones que presentamos en el artículo.Se considerarmos apenas os filiados recentes a partidos políticos no Brasil, eles equivalem ao triplo dos votos recebidos por Jânio Quadros na eleição presidencial de 1960. Segundo a base de dados da justiça eleitoral brasileira, cerca de 16,8 milhõesde eleitores estavam filiados a partidos políticos no final de 2018, o equivalente a 11,4% do eleitorado. Como os filiados se distribuem no Brasil? Que variáveis explicam as diferenças geográficas da filiação? Nossos objetivos são: 1) constatar o crescimento da filiação partidária nos municípios brasileiros nos anos eleitorais de 2014, 2016 e 2018; 2) analisar as variações entre eles, desde uma perspectiva socioespacial. É um estudo exploratório. Utilizamos métodos estatístico-espaciais e cartográficos para analisar a base de dados de filiação partidária. Constatamos uma teia de associações com indicadores sociodemográficos, econômicos e eleitorais. Queríamos saber o que mudou, quando mudou, onde mudou. Identificamos padrões de associações que apresentamos no artigo.Universidade Estadual de Campinas2021-01-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoTextoinfo:eu-repo/semantics/otherapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/op/article/view/8663870Opinião Pública; Vol. 26 No. 3 (2020): set./dez.; 494-521Opinião Pública; Vol. 26 Núm. 3 (2020): set./dez.; 494-521Opinião Pública; v. 26 n. 3 (2020): set./dez.; 494-5211807-0191reponame:Opinião Pública (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPporhttps://periodicos.sbu.unicamp.br/ojs/index.php/op/article/view/8663870/25817Brazil; ContemporaryBrasil; ContemporáneoBrasil; ContemporâneoCopyright (c) 2020 Oplinião Públicahttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessCervi, Emerson Urizzi Terron, Sonia Soares, Glaucio Ary Dillon2021-01-08T11:19:03Zoai:ojs.periodicos.sbu.unicamp.br:article/8663870Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/opPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/op/oaicesop@unicamp.br||racael@unicamp.br || rop@unicamp.br1807-01910104-6276opendoar:2021-01-08T11:19:03Opinião Pública (Online) - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv Party affiliation: an important forgotten variable in Brazil
Afiliación partidista: una importante variable olvidada en Brasil
Filiação partidária: uma importante variável esquecida no Brasil
title Party affiliation: an important forgotten variable in Brazil
spellingShingle Party affiliation: an important forgotten variable in Brazil
Cervi, Emerson Urizzi
Filiação partidária
Distribuição geográfica
Brasil
Afiliación partidaria
Distribución geográfica
Brasil
Party affiliation
Geographical distribution
Brazil
title_short Party affiliation: an important forgotten variable in Brazil
title_full Party affiliation: an important forgotten variable in Brazil
title_fullStr Party affiliation: an important forgotten variable in Brazil
title_full_unstemmed Party affiliation: an important forgotten variable in Brazil
title_sort Party affiliation: an important forgotten variable in Brazil
author Cervi, Emerson Urizzi
author_facet Cervi, Emerson Urizzi
Terron, Sonia
Soares, Glaucio Ary Dillon
author_role author
author2 Terron, Sonia
Soares, Glaucio Ary Dillon
author2_role author
author
dc.contributor.author.fl_str_mv Cervi, Emerson Urizzi
Terron, Sonia
Soares, Glaucio Ary Dillon
dc.subject.por.fl_str_mv Filiação partidária
Distribuição geográfica
Brasil
Afiliación partidaria
Distribución geográfica
Brasil
Party affiliation
Geographical distribution
Brazil
topic Filiação partidária
Distribuição geográfica
Brasil
Afiliación partidaria
Distribución geográfica
Brasil
Party affiliation
Geographical distribution
Brazil
description If we consider only the recent affiliated to political parties in Brazil, they are three times the votes received by Jânio Quadros in the 1960 presidential election. According to the database of the Brazilian electoral justice, about 16.8 million voters were members of political parties at the end of 2018: the equivalent of 11,4% of the electorate. How are these members distributed in Brazil? What variables explain the geographical differences of the affiliation? Our objectives are: 1) verify the growth of party affiliation in Brazilian municipalities in the 2014, 2016, 2018 election years; 2) analyze de variations between them, from a social-spatial perspective. It is an exploratory study. We use spatial-statistical and cartographic methods to analyze the party affiliationdatabase. We found a network of associations with socio-demographic, economic and electoral indicators. We wanted to know what changed, when it changed, where it changed, and what changed together. We identify patterns of associations that are presented in the article.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/op/article/view/8663870/25817
dc.rights.driver.fl_str_mv Copyright (c) 2020 Oplinião Pública
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Oplinião Pública
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
Brasil; Contemporáneo
Brasil; Contemporâneo
dc.publisher.none.fl_str_mv Universidade Estadual de Campinas
publisher.none.fl_str_mv Universidade Estadual de Campinas
dc.source.none.fl_str_mv Opinião Pública; Vol. 26 No. 3 (2020): set./dez.; 494-521
Opinião Pública; Vol. 26 Núm. 3 (2020): set./dez.; 494-521
Opinião Pública; v. 26 n. 3 (2020): set./dez.; 494-521
1807-0191
reponame:Opinião Pública (Online)
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Opinião Pública (Online)
collection Opinião Pública (Online)
repository.name.fl_str_mv Opinião Pública (Online) - Universidade Estadual de Campinas (UNICAMP)
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