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dc.creatorSepúlveda Murillo F.H., Chica - Olmo J., de Cortázar A.R.G.spa
dc.date.accessioned2018-04-13T16:35:13Z
dc.date.available2018-04-13T16:35:13Z
dc.date.created2018spa
dc.identifier.issn1436228spa
dc.identifier.urihttp://hdl.handle.net/11407/4573
dc.description.abstractIn Latin America, homicide is a leading cause of death among women. The aim of this paper is to examine the spatial heterogeneity of factors influencing feminicide in Antioquia, Colombia. This article adds the impact of drug trafficking location on feminicide to the existing research. Classic models assume that the parameters of these factors are spatially distributed in a constant manner. However, this assumption has been frequently challenged due to the systematic differences of feminicide occurring within different geographical units, giving rise to the presence of spatial heterogeneity. In this article, geographically weighted Poisson regression (GWPR) is used to explore the spatial heterogeneity in these data relationships. Feminicide in the Department of Antioquia, Colombia, is studied using a range of classic explanatory factors. The results show that, in addition to the classic factors, coca-producing areas in Antioquia are directly related to number of feminicides. The findings also show that relationships in feminicide data are better presented by GWPR than by the classic model. © 2018 Elsevier Ltdeng
dc.language.isoengspa
dc.publisherElsevier Ltdspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85041644852&doi=10.1016%2fj.apgeog.2018.01.006&partnerID=40&md5=32703ca08f475a8f10f0110e7b77110fspa
dc.sourceScopusspa
dc.titleThe spatial heterogeneity of factors of feminicide: The case of Antioquia-Colombiaspa
dc.typeArticlespa
dc.typeinfo:eu-repo/semantics/publishedVersionspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessspa
dc.contributor.affiliationFaculty of Basic Sciences, University of Medellin, Medellin, Colombia; Department of Quantitative Methods for Economics and Business, University of Granada, Spain; Faculty of Economics and Business Administration, Campus de Cartuja s/n, Granada, Spain; Department of Sociology, University of Granada, Spain; Faculty of Political Sciences and Sociology, Rector López Argüeta, Granada, Spainspa
dc.identifier.doi10.1016/j.apgeog.2018.01.006spa
dc.subject.keywordCoca production; Drug trafficking; Feminicide; Geographically weighted Poisson regression; Spatial non-stationarityeng
dc.subject.keyworddrug; Gross Domestic Product; heterogeneity; mortality; parameterization; regression analysis; trafficking; womens status; Antioquia [Colombia]; Colombiaeng
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.abstractIn Latin America, homicide is a leading cause of death among women. The aim of this paper is to examine the spatial heterogeneity of factors influencing feminicide in Antioquia, Colombia. This article adds the impact of drug trafficking location on feminicide to the existing research. Classic models assume that the parameters of these factors are spatially distributed in a constant manner. However, this assumption has been frequently challenged due to the systematic differences of feminicide occurring within different geographical units, giving rise to the presence of spatial heterogeneity. In this article, geographically weighted Poisson regression (GWPR) is used to explore the spatial heterogeneity in these data relationships. Feminicide in the Department of Antioquia, Colombia, is studied using a range of classic explanatory factors. The results show that, in addition to the classic factors, coca-producing areas in Antioquia are directly related to number of feminicides. The findings also show that relationships in feminicide data are better presented by GWPR than by the classic model. © 2018 Elsevier Ltdeng
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dc.creator.affiliationSepúlveda Murillo, F.H., Faculty of Basic Sciences, University of Medellin, Medellin, Colombia; Chica - Olmo, J., Department of Quantitative Methods for Economics and Business, University of Granada, Spain, Faculty of Economics and Business Administration, Campus de Cartuja s/n, Granada, Spain; de Cortázar, A.R.G., Department of Sociology, University of Granada, Spain, Faculty of Political Sciences and Sociology, Rector López Argüeta, Granada, Spainspa
dc.relation.ispartofesApplied Geographyspa


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