https://orcid.org/0000-0002-6030-7018
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ABSTRACT
This study explores the capacity of GST theory at the community level to explain differences in homicide rates across Mexico City neighborhoods. We find that higher levels of economic deprivation, population size, and organized crime activity, the latter being a source of strain leading to the deterioration of Mexican communities, are positively associated with homicide rates. However, neither crowding, residential mobility, nor Indian speaking population, the latter as a proxy of minority population, behave consistent with the theory. Interestingly, population density is consistently associated with homicide rates; however, in the opposite direction that is theorized. Furthermore, stable and statistically consistent relationships seem to have a negative quadratic functional form with homicide, meaning that the impact of these sources of strain will increase along the homicide rates distribution only up to a certain value.
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No potential conflict of interest was reported by the author(s).
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Additional information
Notes on contributors
Carlos Vilalta-Perdomo
Carlos Vilalta is Professor-Researcher at CentroGeo. He studies the geography of crime and fear of crime. He has been visiting researcher in Cambridge, McGill,UC San Diego, U. of Florida, U. of Missouri in St. Louis, Washington University in St. Louis, U. of Houston, and UNC-Chapel Hill
Pablo López-Ramírez
Pablo López-Ramírez obtained a Bachelors degree in Physics from the National University, MSc. in Geomatics, and a PhD in Geospatial Information Sciences from CentroGeo. He is currently an Associate Researcher at CentroGeo where he is chair of the Graduate Studies Program. He has been a professor of Spatial Analysis, Geographic Information Systems and Geoinformatics at the CentroGeo. Besides his work as professor, he has been a member of several research and development teams involved in the design and implementation of technological platforms for the assimilation and use of Geographic Information within public institutions. His main research interests are the construction of Geographic databases for the development of urban pollution inventories; the development of socio-technical tools for the construction of institutional data catalogs and Geographic Knowledge Discovery and Data Mining, currently working at the intersection of Spatial Analysis and Data Science.
Gustavo Fondevila
Gustavo Fondevila is a professor and researcher at the Centro de Investigación y Docencia Económicas in Mexico, where he concentrates on empirical and comparative quantitative criminology. Specifically, his research focuses on criminal justice and prisons in Latin America by use of surveys of prisons, court records and more. His most recent work examines the relationship between prison violence and criminal government within prisons of the region. He also studies criminal justice institutions from a quantitative perspective, such as prosecution, defense and courts.