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Organized Crime and Technology

Author

Listed:
  • Mustafa Caglayan

    (Heriot-Watt University)

  • Alessandro Flamini

    (Department of Economics and Management, University of Pavia)

  • Babak Jahanshahi

    (Department of Economics and Management, University of Pavia)

Abstract

This paper investigates the relation between the presence of organized crime and the technology level in north Italy. Our analysis proposes two provincial indexes. The first portrays technology at a fine-grained industrial sector level. The second describes mafia-type organizations in line with the investigation approach currently used by Italian National Antimafia Directorate (DNA) and Antimafia District Directorates (DDAs). With these indexes, we provide empirical evidence that in north Italy, the larger the presence of organized crime, the less innovation and the technological level of the industrial fabric. Our reading of this finding is that without organized crime, Nature selects agents according to their capacity to innovate. Instead, with organized crime, agents can choose an alternative strategy: relate with organized crime, which hinders innovation. Modelling the interaction innovation - relation with mafias by evolutionary game theory, we show that the presence of organized crime, through natural selection, leads to low levels of technology. Our model also shows how to use sanctions and indemnities to address the problem.

Suggested Citation

  • Mustafa Caglayan & Alessandro Flamini & Babak Jahanshahi, 2017. "Organized Crime and Technology," DEM Working Papers Series 136, University of Pavia, Department of Economics and Management.
  • Handle: RePEc:pav:demwpp:demwp0136
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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. Fortuna Casoria & Marianna Marino & Pierpaolo Parrotta & Davide Sala, 2019. "Local Government and Innovation: the case of Italian provinces," Working Papers halshs-02278092, HAL.
    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. Alfredo Del Monte, 2016. "Le cause della differente diffusione della criminalità organizzata nel Mezzogiorno," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2016(118-119-1), pages 271-311.
    5. 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

    organized crime; evolutionary game theory; innovation; silent mafia; technology; technology index; mafia index; north Italy.;
    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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