IDEAS home Printed from https://ideas.repec.org/a/taf/fglcxx/v9y2008i3p198-220.html

Economic structure and vulnerability to organised crime: Evidence from Sicily

Author

Listed:
  • Andrea Mario Lavezzi

Abstract

The economic analysis of organised crime suggests that some economic activities are particularly vulnerable to penetration by criminal organisations. This paper provides an analysis of the structure of the Sicilian economy and shows that, when compared with other Italian regions, it is characterised by a disproportionate presence of such activities. In particular, the economy of Sicily appears characterised by: (i) a large dimension of traditional sectors, such as the Construction sector, which also has a strong territorial specificity; (ii) a large presence of small firms; (iii) a low level of technology; (iii) a large public sector. The joint presence of these features creates fertile soil for the typical activities of organised crime, such as extortion and cartel enforcement. Hence, we propose an alternative explanation of the persistence of organised crime with respect to explanations based on cultural and social factors.

Suggested Citation

  • Andrea Mario Lavezzi, 2008. "Economic structure and vulnerability to organised crime: Evidence from Sicily," Global Crime, Taylor & Francis Journals, vol. 9(3), pages 198-220, August.
  • Handle: RePEc:taf:fglcxx:v:9:y:2008:i:3:p:198-220
    DOI: 10.1080/17440570802254312
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17440570802254312
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17440570802254312?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francesco Calderoni & Tommaso Comunale & Gian Maria Campedelli & Martina Marchesi & Deborah Manzi & Niccolò Frualdo, 2022. "Organized crime groups: A systematic review of individual‐level risk factors related to recruitment," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.
    2. Silvia Dal Bianco, 2009. "A Reassessment of Italian Regional Convergence through a Non-Parametric Approach," Quaderni di Dipartimento 099, University of Pavia, Department of Economics and Quantitative Methods.
    3. 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.
    4. Campana, Paolo & Giovannetti, Andrea, 2025. "The structure of cooperation among organized crime groups: A network study of Merseyside, UK," Journal of Criminal Justice, Elsevier, vol. 96(C).
    5. Michele Battisti & Andrea Mario Lavezzi & Lucio Masserini & Monica Pratesi, 2018. "Resisting the extortion racket: an empirical analysis," European Journal of Law and Economics, Springer, vol. 46(1), pages 1-37, August.
    6. Tamara Fioroni & Andrea Mario Lavezzi & Giovanni Trovato, 2025. "Organized Crime, Corruption, and Economic Growth," Journal of Regional Science, Wiley Blackwell, vol. 65(2), pages 535-560, March.
    7. Francesca M. Calamunci & Livio Ferrante & Rossana Scebba, 2022. "Closed for mafia: Evidence from the removal of mafia firms on commercial property values," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1487-1511, November.
    8. Robert McLean & Grace Robinson & James Densley, 2018. "The Rise of Drug Dealing in the Life of the North American Street Gang," Societies, MDPI, vol. 8(3), pages 1-10, September.
    9. Balletta, Luigi & Lavezzi, Andrea Mario, 2023. "The economics of extortion: Theory and the case of the Sicilian Mafia," Journal of Comparative Economics, Elsevier, vol. 51(4), pages 1109-1141.
    10. Valeria Virginia Checchi & Michele Polo, 2020. "Blowing in the Wind: The Infiltration of Sicilian Mafia in the Wind Power Business," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(2), pages 325-353, July.
    11. Alfano, Maria Rosaria & Cantabene, Claudia & Silipo, Damiano Bruno, "undated". "Mafia Firms and Aftermaths," ETA: Economic Theory and Applications 294194, Fondazione Eni Enrico Mattei (FEEM).
    12. Gianmarco Daniele & Gemma Dipoppa, 2018. "Doing Business Below the Line: Screening, Mafias and Public Funds," BAFFI CAREFIN Working Papers 1898, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    13. Ken Yahagi, 2018. "Welfare effects of forming a criminal organization," European Journal of Law and Economics, Springer, vol. 46(3), pages 359-375, December.
    14. Nicola Mastrorocco, 2018. "Organised Crime, Captured Politicians and the Allocation of Public Resources," Trinity Economics Papers tep1018, Trinity College Dublin, Department of Economics.
    15. Astarita, Caterina & Capuano, Carlo & Purificato, Francesco, 2018. "The macroeconomic impact of organised crime: A post-Keynesian analysis," Economic Modelling, Elsevier, vol. 68(C), pages 514-528.
    16. Áron Székely & Luis G. Nardin & Giulia Andrighetto, 2018. "Countering Protection Rackets Using Legal and Social Approaches: An Agent-Based Test," Complexity, Hindawi, vol. 2018, pages 1-16, December.
    17. 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.
    18. Luigi Balletta & Andrea Mario Lavezzi, 2019. "The Economics of Extortion: Theory and Evidence on the Sicilian Mafia," Discussion Papers 2019/242, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.

    More about this item

    JEL classification:

    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:fglcxx:v:9:y:2008:i:3:p:198-220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FGLC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.