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Does more crime mean fewer jobs and less economic growth?

Author

Listed:
  • Claudio Detotto

    (LISA - Lieux, Identités, eSpaces, Activités - UPP - Université Pascal Paoli - CNRS - Centre National de la Recherche Scientifique)

  • Manuela Pulina

    (UNISS - Università degli Studi di Sassari = University of Sassari [Sassari])

Abstract
This paper employs an Autoregressive Distributed Lags approach to investigate how a set of economic variables and a deterrence variable affect criminal activity. Furthermore, it highlights the extent to which crime is detrimental to economic activity. The case study is Italy for the time span 1970 up to 2004. A Granger causality test is implemented to establish temporal interrelationships. The empirical evidence shows that the lack of deterrence positively affects each type of crime and especially thefts. All crime typologies have a negative effect on legal economic activity, reducing the employment rate. Furthermore, homicides, robbery, extortion and kidnapping have a crowding-out effect on economic growth. Copyright Springer Science+Business Media, LLC 2013
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Claudio Detotto & Manuela Pulina, 2013. "Does more crime mean fewer jobs and less economic growth?," Post-Print hal-01972853, HAL.
    • Handle: RePEc:hal:journl:hal-01972853
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    References listed on IDEAS

    as
    1. Scorcu, Antonello E. & Cellini, Roberto, 1998. "Economic activity and crime in the long run: an empirical investigation on aggregate data from Italy, 1951-1994," International Review of Law and Economics, Elsevier, vol. 18(3), pages 279-292, September.
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    Cited by:

    1. Ms. Concha Verdugo Yepes & Mr. Peter L. Pedroni & Xingwei Hu, 2015. "Crime and the Economy in Mexican States: Heterogeneous Panel Estimates (1993-2012)," IMF Working Papers 2015/121, International Monetary Fund.
    2. Marcus Box & Karl Gratzer & Xiang Lin, 2020. "Destructive entrepreneurship in the small business sector: bankruptcy fraud in Sweden, 1830–2010," Small Business Economics, Springer, vol. 54(2), pages 437-457, February.
    3. Adekoya Adenuga Fabian & Razak Nor Azam Abdul, 2016. "The Link Between Economic Growth, Crime and Deterrence Measures in Nigeria," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 26(4), pages 24-40, November.
    4. Oliviero A. Carboni & Claudio Detotto, 2016. "The economic consequences of crime in Italy," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(1), pages 122-140, January.
    5. Umbach, Tim, 2020. "A Vicious Cycle of Regional Unemployment and Crime? - Evidence from German Counties," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224611, Verein für Socialpolitik / German Economic Association.
    6. Alexander, Adam C. & Chen, Weiyu & Ward, Kenneth D., 2018. "Is intelligence associated with mortality from lethal force by law enforcement?," Intelligence, Elsevier, vol. 70(C), pages 30-35.
    7. Bianca Biagi & Claudio Detotto, 2020. "Crime as Tourism Externality," Regional Studies, Taylor & Francis Journals, vol. 48(4), pages 693-709, July.
    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. 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.
    10. Giacomo Di Gennaro, 2018. "La mimetizzazione dell'attività estorsiva e i diversi tipi di autorità extralegale nei mercati illegali e legali," Moneta e Credito, Economia civile, vol. 71(284), pages 311-335.
    11. Kumar, Surender, 2013. "Crime and Economic Growth: Evidence from India," MPRA Paper 48794, University Library of Munich, Germany.

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    More about this item

    JEL classification:

    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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