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Criminal spillovers in Brasilia’s integrated development region: An analysis of violent crime (2010-2017)

Author

Listed:
  • da Silva, Luciano Pereira

    (Instituto Federal de Brasília (IFB))

  • de Oliveira, Ivanilton José

    (Universidade Federal de Goiás (UFG))

  • Gomes, Carlos Eduardo

    (Universidade Federal de Roraima (UFRR))

Abstract

The objective of this article is to understand the spatial distribution of crime in Brasilia’s Integrated Development Region. It concludes that the crime rates in this region are not randomly distributed spatially, because an exploratory analysis of spatial data indicates the existence of spatial dependence. This means that the municipalities that border the Federal District are responsible for more than 80% of the crimes carried out in the period under examination. The main victims are young people, mainly black men shot by firearms, and the proportion of young people between 15 and 19 years of age was a determining factor in this positive correlation, among other significant conditions obtained by using estimates of spatial regressions using Spatial Durbin Models – SDM and data panels for the years 2010 to 2017. We detected a 51% incidence of spillovers for fatal crimes.

Suggested Citation

  • da Silva, Luciano Pereira & de Oliveira, Ivanilton José & Gomes, Carlos Eduardo, 2022. "Criminal spillovers in Brasilia’s integrated development region: An analysis of violent crime (2010-2017)," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 16(3), pages 387-410.
    • Handle: RePEc:ris:rberur:0154
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    References listed on IDEAS

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    1. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. BAUMONT, Catherine, 2004. "Spatial effects in housing price models. Do housing prices capitalize urban development policies in the agglomeration of Dijon (1999)?," LEG - Document de travail - Economie 2004-04, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    4. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    5. Sah, Raaj K, 1991. "Social Osmosis and Patterns of Crime," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1272-1295, December.
    6. Bartz, Maicker & Quartieri, Ewerton & Menezes , Gabrielito, 2018. "Criminalidade no Rio Grande do Sul: uma análise econométrica para os COREDES no ano de 2010," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 12(1), pages 110-128.
    7. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    8. Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-565, May-June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Brasilia’s Integrated Development Region; Crime; Spatial Econometrics; Spillover;
    All these keywords.

    JEL classification:

    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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