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Empirical research on the relationship between violence and social development in Colombia

Author

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  • Alexander Cotte Poveda

    (Faculty of Accounting and Administration, University of La Salle. Bogotá, Colombia.)

Abstract

Violence is a significant development constraint that generates economic problems, limits public and private investments, and damages the country’s infrastructure. This paper offers an explanation of violence through an empirical analysis of Colombian departments that takes into account categories of violence and variables of economic development and the deterrence of violence. We use different datasets to measure violence and economic development, and we employ panel fixed-effects regressions and a dynamic panel model for a sample of 32 Colombian departments between 1993 and 2007. We find that the aggregate-level production per capita, education, deterrence variables and employment rate show a negative effect on violence, whereas the GINI coefficient and lagged rate show a positive effect on violence. Moreover, the objective conditions and their interrelationships have been important in the trends of violence in Colombian departments.

Suggested Citation

  • Alexander Cotte Poveda, 2012. "Empirical research on the relationship between violence and social development in Colombia," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 37-56, November.
    • Handle: RePEc:ere:journl:v:xxxi:y:2012:i:2:p:37-56
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    File URL: http://www.economia.uanl.mx/revistaensayos/xxxi/2/Empirical-research-Cotte.pdf
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    References listed on IDEAS

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    1. World Bank & United Nations Office on Drugs and Crime, 2007. "Crime, Violence, and Development : Trends, Costs, and Policy Options in the Caribbean," World Bank Publications - Reports 7687, The World Bank Group.
    2. Alexander Cotte Poveda, 2007. "Growth, inequality and poverty: an analysis of the violence in Colombia," Serie de Documentos en Economía y Violencia 3984, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    3. Joshua D. Angrist & Adriana D. Kugler, 2008. "Rural Windfall or a New Resource Curse? Coca, Income, and Civil Conflict in Colombia," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 191-215, May.
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    8. Boris Salazar & Maria del Pilar Castillo, 2003. "Rationality, preferences and irregular war," Colombian Economic Journal, Academia Colombiana de Ciencias Economicas, Colegio Mayor de Nuestra Senora del Rosario, Pontificia Universidad Javeriana, Universidad de Antioquia, Universidad de los Andes, Universidad del Valle, Universidad Externado de Colombia, Universidad Nacional de Colombia, vol. 1(1), pages 15-33, December.
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    10. Solimano, Andrés, 2004. "Political violence and economic development in Latin America: issues and evidence," Macroeconomía del Desarrollo 5395, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Alejandro Gaviria Uribe & Carlos Eduardo Vélez, 2001. "Who Bears the Burden of Crime in Colombia," Informes de Investigación 3776, Fedesarrollo.
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    Cited by:

    1. Adenuga Fabian Adekoya & Nor Azam Abdul Razak, 2018. "Unemployment and Violence: ARDL Endogeneity Approach. (Desempleo y violencia: Enfoque de endogeneidad ARDL)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 155-176, October.

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    More about this item

    Keywords

    Economic development; categories of violence; deterrence variables; Panel Data; Colombia;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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