FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL

Detalhes bibliográficos
Autor(a) principal: Procópio, Diego Pierotti
Data de Publicação: 2017
Outros Autores: Toyoshima, Silvia Harumi
Tipo de documento: Artigo
Idioma: por
Título da fonte: Análise Econômica (Online)
Texto Completo: https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/51903
Resumo: The objective of the present study was to evaluate which factors are associated with violent crime in Brazil. The categories of crimes were selected homicide, robbery and willful corporal lesion followed by death. For this study we used the econometric model in the data structure in panel for all Brazilian federal units. The results indicated that the fixed effects model is the most suitable. In addition, it was found that the drug market and the unemployment rate positively influence analyzed crime rates. On the other hand, social assistance policies offered by Social Assistance Reference Centres have contributed to improving the quality of life of many Brazilian families living in situation socioeconomic vulnerability and, therewith, such a government measure has contributed to the fight against violent criminality in the country.
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spelling FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZILFATORES ASSOCIADOS À CRIMINALIDADE VIOLENTA NO BRASILCriminalidade ViolentaMercado de DrogasDados em PainelK42Violent criminalityDrug marketPanel dataK42The objective of the present study was to evaluate which factors are associated with violent crime in Brazil. The categories of crimes were selected homicide, robbery and willful corporal lesion followed by death. For this study we used the econometric model in the data structure in panel for all Brazilian federal units. The results indicated that the fixed effects model is the most suitable. In addition, it was found that the drug market and the unemployment rate positively influence analyzed crime rates. On the other hand, social assistance policies offered by Social Assistance Reference Centres have contributed to improving the quality of life of many Brazilian families living in situation socioeconomic vulnerability and, therewith, such a government measure has contributed to the fight against violent criminality in the country.Objetiva-se neste estudo avaliar quais fatores estão associados à criminalidade violenta no Brasil. As categorias de crimes selecionadas foram as de homicídios, latrocínio e lesão corporal dolosa seguida de morte. Para a realização deste estudo é utilizado o modelo econométrico na estrutura de dados em painel para todas as unidades federativas brasileiras. Os resultados indicam que o modelo de efeitos fixos é o mais adequado. Além disso, constata-se que o mercado de drogas e a taxa de desemprego influenciam positivamente as taxas de crimes analisadas. Por outro lado, as políticas socioassistenciais ofertadas pelos Centros de Referência de Assistência Social (Cras) têm contribuído para a melhoria da qualidade de vida de diversas famílias brasileiras que vivem em situação de vulnerabilidade socioeconômica, e, com isso, tal medida governamental tem colaborado para o combate da criminalidade violenta no país.UFRGS2017-08-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/5190310.22456/2176-5456.51903Análise Econômica; Vol. 35 (2017): n. especial, julho de 2017Análise Econômica; v. 35 (2017): n. especial, julho de 20172176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/51903/42804Copyright (c) 2019 Análise Econômicainfo:eu-repo/semantics/openAccessProcópio, Diego PierottiToyoshima, Silvia Harumi2017-08-05T20:48:05Zoai:seer.ufrgs.br:article/51903Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2017-08-05T20:48:05Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
FATORES ASSOCIADOS À CRIMINALIDADE VIOLENTA NO BRASIL
title FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
spellingShingle FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
Procópio, Diego Pierotti
Criminalidade Violenta
Mercado de Drogas
Dados em Painel
K42
Violent criminality
Drug market
Panel data
K42
title_short FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
title_full FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
title_fullStr FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
title_full_unstemmed FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
title_sort FACTORS ASSOCIATED WITH VIOLENT CRIME IN BRAZIL
author Procópio, Diego Pierotti
author_facet Procópio, Diego Pierotti
Toyoshima, Silvia Harumi
author_role author
author2 Toyoshima, Silvia Harumi
author2_role author
dc.contributor.author.fl_str_mv Procópio, Diego Pierotti
Toyoshima, Silvia Harumi
dc.subject.por.fl_str_mv Criminalidade Violenta
Mercado de Drogas
Dados em Painel
K42
Violent criminality
Drug market
Panel data
K42
topic Criminalidade Violenta
Mercado de Drogas
Dados em Painel
K42
Violent criminality
Drug market
Panel data
K42
description The objective of the present study was to evaluate which factors are associated with violent crime in Brazil. The categories of crimes were selected homicide, robbery and willful corporal lesion followed by death. For this study we used the econometric model in the data structure in panel for all Brazilian federal units. The results indicated that the fixed effects model is the most suitable. In addition, it was found that the drug market and the unemployment rate positively influence analyzed crime rates. On the other hand, social assistance policies offered by Social Assistance Reference Centres have contributed to improving the quality of life of many Brazilian families living in situation socioeconomic vulnerability and, therewith, such a government measure has contributed to the fight against violent criminality in the country.
publishDate 2017
dc.date.none.fl_str_mv 2017-08-05
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://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/51903
10.22456/2176-5456.51903
url https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/51903
identifier_str_mv 10.22456/2176-5456.51903
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/51903/42804
dc.rights.driver.fl_str_mv Copyright (c) 2019 Análise Econômica
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Análise Econômica
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRGS
publisher.none.fl_str_mv UFRGS
dc.source.none.fl_str_mv Análise Econômica; Vol. 35 (2017): n. especial, julho de 2017
Análise Econômica; v. 35 (2017): n. especial, julho de 2017
2176-5456
0102-9924
reponame:Análise Econômica (Online)
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Análise Econômica (Online)
collection Análise Econômica (Online)
repository.name.fl_str_mv Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv ||rae@ufrgs.br
_version_ 1799766267541848064

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