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Organised Crime and Technology

Author

Listed:
  • Mustafa Caglayan

    (Heriot Watt University)

  • Alessandro Flamini

    (Department of Economics and Management, University of Pavia)

  • Babak Jahanshahi

    (University of Edinburgh)

Abstract
This paper shows that organised crime harms technological development. We provide evidence that forced resettlement of bosses promoted the mafia’s rooting in northern Italy. With forced resettlement as an exogenous source of variation, we unveil that mafias cause a reduction in technology levels. Moving from the technology stock to a flow generating it -innovation- we demonstrate that mafias stifle innovation. We argue that without mafia, Nature selects agents for their innovation capacity. Instead, with mafia, agents face an alternative strategy: relate with mafia; this strategy, infringing property rights and competition, hinders innovation. Using evolutionary dynamics, we show that while mafias decrease innovation, proper sanctions/indemnities can address the problem.

Suggested Citation

  • Mustafa Caglayan & Alessandro Flamini & Babak Jahanshahi, 2018. "Organised Crime and Technology," DEM Working Papers Series 143, University of Pavia, Department of Economics and Management.
    • Handle: RePEc:pav:demwpp:demwp0143
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    File URL: http://dem-web.unipv.it/web/docs/dipeco/quad/ps/RePEc/pav/demwpp/DEMWP0143.pdf
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    References listed on IDEAS

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    Cited by:

    1. Mustafa Caglayan & Alessandro Flamini & Babak Jahanshahi, 2017. "Organized Crime and Technology," DEM Working Papers Series 136, University of Pavia, Department of Economics and Management.
    2. Marco Dugato & Francesco Calderoni & Gian Maria Campedelli, 2020. "Measuring Organised Crime Presence at the Municipal Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 237-261, January.
    3. Fortuna Casoria & Marianna Marino & Pierpaolo Parrotta & Davide Sala, 2019. "Local Government and Innovation: the case of Italian provinces," Working Papers halshs-02278092, HAL.
    4. Gaetano Perone, 2020. "The impact of agribusiness crimes on food prices: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 877-909, October.
    5. Alfredo Del Monte, 2016. "Le cause della differente diffusione della criminalit? organizzata nel Mezzogiorno," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2016(118-119-1), pages 271-311.
    6. Giovanni Bernardo & Irene Brunetti & Mehmet Pinar & Thanasis Stengos, 2021. "Measuring the presence of organized crime across Italian provinces: a sensitivity analysis," European Journal of Law and Economics, Springer, vol. 51(1), pages 31-95, February.

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    More about this item

    Keywords

    Organised crime; evolutionary game theory; innovation; technology.;
    All these keywords.

    JEL classification:

    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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