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Violence And Economic Development In Colombian Cities: A Dynamic Panel Data Analysis

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  • Alexander Cotte Poveda

Abstract

This paper studies the socio-economic determinants of violence in the seven most important cities in Colombia. Derived from theories rooted in classic works, including Becker's paradigm, criminal inertia, social disorganisation, urbanism and strain, we formulate several hypotheses on the socio-economic determinants of violence. To test these hypotheses, a dynamic panel data analysis is employed. The analysis shows that cities´ deprivation and high population density are strong predictors of homicide rates. Comparing the results among Colombian cities, we find support indicating that city-level homicide rates are influenced by the city's level of development. Moreover, we find evidence that economic growth, inequality, poverty and human capital influence violence in the cities studied, which could generate negative effects on the economic and social development of Colombia.
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Suggested Citation

  • Alexander Cotte Poveda, 2012. "Violence And Economic Development In Colombian Cities: A Dynamic Panel Data Analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 24(7), pages 809-827, October.
    • Handle: RePEc:wly:jintdv:v:24:y:2012:i:7:p:809-827
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    Cited by:

    1. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    2. Luiz G A Alves & Haroldo V Ribeiro & Ervin K Lenzi & Renio S Mendes, 2013. "Distance to the Scaling Law: A Useful Approach for Unveiling Relationships between Crime and Urban Metrics," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    3. Hyeon-Woo Kang & Hang-Bong Kang, 2017. "Prediction of crime occurrence from multi-modal data using deep learning," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-19, April.
    4. Adenuga Fabian ADEKOYA & SNor Azam Abdul RAZAK, 2016. "Effect Of Crime On Poverty In Nigeria," Romanian Economic Business Review, Romanian-American University, vol. 11(2), pages 29-42, June.
    5. Felipe Santos‐Marquez & Carlos Mendez, 2021. "Regional convergence, spatial scale, and spatial dependence: Evidence from homicides and personal injuries in Colombia 2010–2018," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1162-1184, August.
    6. Thomas Bassetti & Raul Caruso & Darwin Cortes, 2015. "Behavioral differences in violence: The case of intra-group differences of Paramilitaries and Guerrillas in Colombia," DISCE - Quaderni del Dipartimento di Politica Economica ispe0073, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    7. Kumar, Surender, 2013. "Crime and Economic Growth: Evidence from India," MPRA Paper 48794, University Library of Munich, Germany.
    8. Roberto Coronado & Eduardo Saucedo, 2019. "Drug-related violence in Mexico and its effects on employment," Empirical Economics, Springer, vol. 57(2), pages 653-681, August.
    9. Cotte Poveda Alexander, 2011. "Socio-Economic Development and Violence: An Empirical Application for Seven Metropolitan Areas in Colombia," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 17(1), pages 1-23, September.

    More about this item

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

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