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城市收入隔离与凶杀案:一项使用萨卢尔巴尔项目选定的巴西城市进行的分析。

Urban income segregation and homicides: An analysis using Brazilian cities selected by the Salurbal project.

作者信息

Santos Maria Izabel Dos, Santos Gervásio Ferreira Dos, Freitas Anderson, Sousa Filho J Firmino de, Castro Caio, Paiva Aureliano S Souza, Friche Amélia A de Lima, Barber Sharrelle, Caiaffa Waleska Teixeira, Barreto Maurício L

机构信息

Center of Data and Knowledge Integration for Health (CIDACS), Brazil.

Faculty of Economics (PPGE) - Federal University of Bahia, Brazil.

出版信息

SSM Popul Health. 2021 May 17;14:100819. doi: 10.1016/j.ssmph.2021.100819. eCollection 2021 Jun.

Abstract

This paper investigates the associations of income segregation with homicide mortality across 152 cities in Brazil. Despite GDP increases, an important proportion of the Brazilian population experiences poverty and extreme poverty. Segregation refers to the way that different groups are located in space based on their socioeconomic status, with groups defined based on education, unemployment, race, age, or income levels. As a measure of segregation, the dissimilarity index showed that overall, it would be necessary to relocate 29.7% of urban low-income families to make the spatial distribution of income homogeneous. For the ten most segregated cities, relocation of more than 37% of families would be necessary. Using negative binomial models, we found a positive association between segregation and homicides for Brazilian cities: one standard deviation higher segregation index was associated with a 50% higher homicide rate when we analyze all the socioeconomic context. Income segregation is potentially an important determinant of homicides, and should be considered in setting public policies.

摘要

本文研究了巴西152个城市中收入隔离与凶杀死亡率之间的关联。尽管国内生产总值有所增长,但巴西仍有很大一部分人口处于贫困和极端贫困状态。隔离是指不同群体根据其社会经济地位在空间中的分布方式,群体是根据教育、失业、种族、年龄或收入水平来界定的。作为一种隔离衡量指标,差异指数表明,总体而言,有必要重新安置29.7%的城市低收入家庭,以使收入的空间分布均匀。对于隔离程度最高的十个城市,有必要重新安置超过37%的家庭。使用负二项式模型,我们发现巴西城市的隔离与凶杀案之间存在正相关:当我们分析所有社会经济背景时,隔离指数每高出一个标准差,凶杀率就会高出50%。收入隔离可能是凶杀案的一个重要决定因素,在制定公共政策时应予以考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0133/8142279/ca62e38ae068/gr1.jpg

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