Eleição e gênero : o perfil das candidatas para as prefeituras em 2020
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2023
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A proposta deste artigo é responder à pergunta: como as características
das candidatas eleitas impactam no seu sucesso eleitoral? Para tanto,
foram avaliados os dados constantes no repositório do Tribunal
Superior Eleitoral (TSE) sobre candidatos e candidatas às prefeituras
nas eleições municipais de 2020. As variáveis analisadas foram: taxa de
escolaridade; estado civil; e cor ou raça, para aferir o peso do impacto
de cada uma para explicar o perfil da eleita. A análise considerou 18.478
candidatos, divididos por gênero, sucesso na eleição e região do país,
a fim de conhecer as características das candidatas eleitas e como elas
impactam no sucesso eleitoral. O software estatístico SPSS foi utilizado
para análise dos dados e cruzamento das variáveis. A conclusão é de
que existem diferenças entre os perfis de candidatos e candidatas ao
Executivo municipal, eleitas e não eleitas, e por região do país.
The purpose of this following article is to answer the question: how do the characteristics of elected female candidates impact their electoral success in Brazil? To this end, we evaluated the data contained in the repository collected from the Brazilian Superior Electoral Court on male and female candidates for the municipal elections of 2020. The variables analyzed were range from education rate level, marital status, and ethnicity or race to gauge the weight of the impact of each one to explain the profile of the elected. The analysis considered 18,478 candidates, divided by gender, success in the election and region of the country to understand what the characteristics of elected women candidates are and how they impact electoral success. We used SPSS to cross-reference the variables and analyze the data. The conclusion is that there are differences between the profiles of elected and nonelected male and female candidates and by region within Brazil.
The purpose of this following article is to answer the question: how do the characteristics of elected female candidates impact their electoral success in Brazil? To this end, we evaluated the data contained in the repository collected from the Brazilian Superior Electoral Court on male and female candidates for the municipal elections of 2020. The variables analyzed were range from education rate level, marital status, and ethnicity or race to gauge the weight of the impact of each one to explain the profile of the elected. The analysis considered 18,478 candidates, divided by gender, success in the election and region of the country to understand what the characteristics of elected women candidates are and how they impact electoral success. We used SPSS to cross-reference the variables and analyze the data. The conclusion is that there are differences between the profiles of elected and nonelected male and female candidates and by region within Brazil.
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BARBABELA, Eduardo et al. Eleição e gênero: o perfil das candidatas para as prefeituras em 2020. Estudos Eleitorais, Brasília, DF, v. 16, n. 1, p. 215-236, jan./jul. 2022. DOI: 10.57025/14145146_v16n1_bar.edu.
