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Usura ed estorsione nel mezzogiorno: una stima delle determinanti

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  • Elvira Sapienza

Abstract

Many studies analyze the economics of crime and the relationship between the motives and the illegitimate activities that slow down economic growth in the long run. This work aims to contribute to the general debate examining specific types of crime, usury and extortion in a particular Italian region: the Mezzogiorno strongly affected by them, in order to measure the impact of deterrence measures and financial and socioeconomic variables on these crimes.

Suggested Citation

  • Elvira Sapienza, 2013. "Usura ed estorsione nel mezzogiorno: una stima delle determinanti," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2013(109), pages 45-67.
    • Handle: RePEc:fan:steste:v:html10.3280/ste2013-109003
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    References listed on IDEAS

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    1. Imrohoroglu, Ayse & Merlo, Antonio & Rupert, Peter, 2000. "On the Political Economy of Income Redistribution and Crime," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(1), pages 1-25, February.
    2. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    3. Steven D. Levitt, 1996. "The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Litigation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 319-351.
    4. Paolo Buonanno & Giacomo Pasini & Paolo Vanin, 2012. "Crime and social sanction," Papers in Regional Science, Wiley Blackwell, vol. 91(1), pages 193-218, March.
    5. Paolo Buonanno, 2003. "The Socioeconomic Determinants of Crime. A Review of the Literature," Working Papers 63, University of Milano-Bicocca, Department of Economics, revised Nov 2003.
    6. Gray, Tara, 1994. "Research note: Using cost-benefit analysis to measure rehabilitation and special deterrence," Journal of Criminal Justice, Elsevier, vol. 22(6), pages 569-575.
    7. Morgan Kelly, 2000. "Inequality And Crime," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 530-539, November.
    8. Nikolaos Dritsakis & Alexandros Gkanas, 2009. "The effect of socio-economic determinants on crime rates: An empirical research in the case of Greece with cointegration analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 2(2), pages 51-64, December.
    9. Richard B. Freeman, 1994. "Crime and the Job Market," NBER Working Papers 4910, National Bureau of Economic Research, Inc.
    10. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
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    Cited by:

    1. Amedeo Argentiero & Bruno Chiarini & Elisabetta Marzano, 2020. "Does Tax Evasion Affect Economic Crime?," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 441-482, June.
    2. Sonia Stefanizzi & Tatiana Lysova, 2024. "Usury vulnerability: measuring and modelling the phenomenon in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3845-3862, August.
    3. Amedeo Argentiero & Bruno Chiarini & Elisabetta Marzano, 2015. "Tax Evasion and Economic Crime. Empirical Evidence for Italy," CESifo Working Paper Series 5497, CESifo.

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    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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