IDEAS home Printed from
   My bibliography  Save this article

Mythical numbers and the proceeds of organised crime: estimating mafia proceeds in Italy


  • Francesco Calderoni


Organised crime is a field vulnerable to mythical numbers, i.e. exaggerated estimates lacking empirical support, but acquiring acceptance through repetition. The figures on mafia proceeds in Italy are a striking example of this problem. This study proposes an estimation of mafia proceeds in Italy from nine criminal activities (sexual exploitation of women, illicit firearms trafficking, drug trafficking, counterfeiting, the illicit cigarette trade, illicit gambling, illicit waste disposal, loan sharking, and extortion racketeering) by region and type of mafia (Cosa Nostra, Camorra, ‘Ndrangheta, Apulian mafias, and other mafias). The results estimate yearly mafia proceeds at approximately €10.7 bn (0.7% of the Italian GDP), discussing the impact on the regional and national economies and the differences among the types of mafias as to their geographical sources of revenues.

Suggested Citation

  • Francesco Calderoni, 2014. "Mythical numbers and the proceeds of organised crime: estimating mafia proceeds in Italy," Global Crime, Taylor & Francis Journals, vol. 15(1-2), pages 138-163, April.
  • Handle: RePEc:taf:fglcxx:v:15:y:2014:i:1-2:p:138-163
    DOI: 10.1080/17440572.2014.882778

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.


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

    Cited by:

    1. repec:eee:ecmode:v:68:y:2018:i:c:p:514-528 is not listed on IDEAS
    2. Carlo Capuano & Massimiliano Giacalone, 2018. "Measuring Organized Crime: Statistical Indicators and Economics Aspects," EERI Research Paper Series EERI RP 2018/11, Economics and Econometrics Research Institute (EERI), Brussels.

    More about this item


    Access and download statistics


    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:15:y:2014:i:1-2:p:138-163. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.