Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte

The homicide rate in Brazil recorded a significant number of occurrences in the last decade, and Rio Grande do Norte (RN) led the growth in the states of the country, with a greater evolution of homicide rates. In order to explain how growth is sought, it is the case of theories that study crime. Th...

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Autor principal: Jales, Leoncio do Vale
Outros Autores: Alves, Janaina da Silva
Formato: bachelorThesis
Idioma:pt_BR
Publicado em: Universidade Federal do Rio Grande do Norte
Assuntos:
Taxa de homicídio
Economia do crime
Determinantes socioeconômicos
Endereço do item:https://repositorio.ufrn.br/handle/123456789/41667
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id ri-123456789-41667
record_format dspace
institution Repositório Institucional
collection RI - UFRN
language pt_BR
topic Taxa de homicídio
Economia do crime
Determinantes socioeconômicos
spellingShingle Taxa de homicídio
Economia do crime
Determinantes socioeconômicos
Jales, Leoncio do Vale
Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte
description The homicide rate in Brazil recorded a significant number of occurrences in the last decade, and Rio Grande do Norte (RN) led the growth in the states of the country, with a greater evolution of homicide rates. In order to explain how growth is sought, it is the case of theories that study crime. The present work had as general objective to analyze the socioeconomic determinants of homicide rate in Rio Grande do Norte. For this purpose, the evolution of homicide rates in the years 2000, 2010 and 2017 in the counties of RN was analyzed, through a comparison between these years. In addition, socioeconomic variables explaining the homicide rate, cross-sectional data for the year 2010 and 167 counties in the state were selected in the light of the Economic Crime literature. The methodology used in this work is the analysis of descriptive statistics and the application of a linear regression model, using Ordinary Least Squares (OLS). The variables used were the homicide rate (MTH), the unemployment rate (TD), the GINI index (GINI), the illiteracy rate (TA), the GDP per capita (PIBper) or the value of the benefits of the “Bolsa Família” Program (VBPBF) and Public expenditure on national security (DPSN). The results obtained showed the 15 counties with the highest homicide rates, where 6 of these are located in the region of Sertão do Apodi. When comparing homicide rates in different years (2000, 2010 and 2017), there was an increase in homicide rates in these counties. When observing as too many variables in the year 2010, it is possible to apply a high dispersion of the average GDP per capita among the municipalities of the state. In addition, it was found that public expenditure on national security is concentrated in the capital of RN. Regarding the economic model, considered a cross-section, whose dependent variable was MTH and explanatory variables were TD, GINI, TA, PIBper, VBPBF and a dummy variable for a region of the Sertão do Apodi. The results show that the model as a whole was statistically significant. There was a statistically positive relationship at the level of 5% between MTH and GINI, and MTH and PIBper, calculating the greater the income inequality, the higher the homicide rate, ceteris paribus. Finally, it was found that there are significant homicide rates among the municipalities located in the region of Sertão do Apodi and other counties.
author2 Alves, Janaina da Silva
author_facet Alves, Janaina da Silva
Jales, Leoncio do Vale
format bachelorThesis
author Jales, Leoncio do Vale
author_sort Jales, Leoncio do Vale
title Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte
title_short Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte
title_full Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte
title_fullStr Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte
title_full_unstemmed Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte
title_sort análise dos determinantes socioeconômicos da taxa de homicídios no rio grande do norte
publisher Universidade Federal do Rio Grande do Norte
publishDate 2020
url https://repositorio.ufrn.br/handle/123456789/41667
work_keys_str_mv AT jalesleonciodovale analisedosdeterminantessocioeconomicosdataxadehomicidiosnoriograndedonorte
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spelling ri-123456789-416672021-10-05T14:03:55Z Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte Jales, Leoncio do Vale Alves, Janaina da Silva Alves, Janaina da Silva Campos, Maria da Luz Góis Taxa de homicídio Economia do crime Determinantes socioeconômicos The homicide rate in Brazil recorded a significant number of occurrences in the last decade, and Rio Grande do Norte (RN) led the growth in the states of the country, with a greater evolution of homicide rates. In order to explain how growth is sought, it is the case of theories that study crime. The present work had as general objective to analyze the socioeconomic determinants of homicide rate in Rio Grande do Norte. For this purpose, the evolution of homicide rates in the years 2000, 2010 and 2017 in the counties of RN was analyzed, through a comparison between these years. In addition, socioeconomic variables explaining the homicide rate, cross-sectional data for the year 2010 and 167 counties in the state were selected in the light of the Economic Crime literature. The methodology used in this work is the analysis of descriptive statistics and the application of a linear regression model, using Ordinary Least Squares (OLS). The variables used were the homicide rate (MTH), the unemployment rate (TD), the GINI index (GINI), the illiteracy rate (TA), the GDP per capita (PIBper) or the value of the benefits of the “Bolsa Família” Program (VBPBF) and Public expenditure on national security (DPSN). The results obtained showed the 15 counties with the highest homicide rates, where 6 of these are located in the region of Sertão do Apodi. When comparing homicide rates in different years (2000, 2010 and 2017), there was an increase in homicide rates in these counties. When observing as too many variables in the year 2010, it is possible to apply a high dispersion of the average GDP per capita among the municipalities of the state. In addition, it was found that public expenditure on national security is concentrated in the capital of RN. Regarding the economic model, considered a cross-section, whose dependent variable was MTH and explanatory variables were TD, GINI, TA, PIBper, VBPBF and a dummy variable for a region of the Sertão do Apodi. The results show that the model as a whole was statistically significant. There was a statistically positive relationship at the level of 5% between MTH and GINI, and MTH and PIBper, calculating the greater the income inequality, the higher the homicide rate, ceteris paribus. Finally, it was found that there are significant homicide rates among the municipalities located in the region of Sertão do Apodi and other counties. A taxa de homicídios no Brasil obteve aumentos significantes na última década, e o Rio Grande do Norte (RN) liderou esse crescimento dentre os estados do país, com a maior evolução da taxa de homicídios. No intuito de explicar tal crescimento buscou-se respaldo nas teorias que estudam a criminalidade. O presente trabalho teve como objetivo geral analisar os determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte. Para tanto, foi analisada a evolução das taxas de homicídios nos anos de 2000, 2010 e 2017 nos municípios do RN, através de um comparativo entre esses anos. Além disso foram selecionadas, à luz da literatura sobre Economia do Crime, variáveis socioeconômicas que explicam a taxa de homicídio, através de dados de corte transversal para o ano de 2010 e os 167 municípios do estado. A metodologia utilizada nesse trabalho se baseou em análises de estatísticas descritivas e na estimação de um modelo econométrico de regressão linear, através do método dos Mínimos Quadrados Ordinários (MQO). As variáveis utilizadas foram a Taxa de homicídios (MTH), a Taxa de desemprego (TD), o índice de GINI (GINI), a Taxa de analfabetismo (TA), o PIB per capita (PIBper), o Valor dos benefícios do programa Bolsa família (VBPBF) e as Despesas públicas com segurança nacional (DPSN). Os resultados iniciais apresentaram os 15 municípios com maiores taxas de homicídios, onde 6 desses estão localizados na região do Sertão do Apodi. Ao comparar as taxas de homicídio em diferentes anos (2000, 2010 e 2017) verificou-se aumento da taxa de homicídios nesses municípios. Ao observar as demais variáveis no ano de 2010, observou-se uma alta dispersão da média do PIB per capita entre os municípios do estado. Além disso, verificou-se que as Despesas públicas com Segurança Nacional se concentram na capital do RN. Com relação ao modelo econométrico, foi considerado o corte transversal, cuja variável dependente foi MTH e as variáveis explicativas foram TD, GINI, TA, PIBper, VBPBF e uma variável qualitativa (dummy) para a região do Sertão do Apodi. Os resultados da estimação mostraram que o modelo como um todo foi estatisticamente significante. Verificou-se uma relação estatisticamente positiva ao nível de 5% entre MTH e GINI, e MTH e PIBper, indicando que quanto maior a desigualdade de renda, maior a taxa de homicídio, ceteris paribus. Por fim, verificou-se que há diferencial significativo de taxa de homicídios entre os municípios localizados na região do Sertão do Apodi e os demais do estado. 2020-07-31T14:58:01Z 2021-10-05T14:03:55Z 2020-07-31T14:58:01Z 2021-10-05T14:03:55Z 2020-07 bachelorThesis 20160113889 JALES, Leoncio do Vale. Análise dos determinantes socioeconômicos da taxa de homicídios no Rio Grande do Norte. 2020. 52f. Monografia (Graduação em Ciências Econômicas) - Curso de Ciências Econômicas, Departamento de Economia, Universidade Federal do Rio Grande do Norte, Natal, 2020. https://repositorio.ufrn.br/handle/123456789/41667 pt_BR Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Universidade Federal do Rio Grande do Norte Brasil UFRN Ciências Econômicas

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