IDEAS home Printed from https://ideas.repec.org/p/gat/wpaper/2025.html
   My bibliography  Save this paper

Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering

Author

Listed:
  • Lavinia Piemontese

    (Univ Lyon, ENS de Lyon, GATE UMR 5824, F-69342 Lyon, France)

Abstract

This paper proposes a new approach for quantifying the economic cost of hidden economies. I specifically apply the method to the case of mafia racketeering in Northern Italy, and in so doing, provide the first explicit estimate of the economic cost of mafia spread in this area. I show both theoretically and empirically that acts of extortion imposed on certain firms are linked to resource misallocation. I quantify the share of output that the mafia extorts from firms, which ranges between 0.5 and 5 percent of firm-level output for the taxed firms. I then consider what these estimates imply and find that between 2000 and 2012, the Northern Italian economy suffered an aggregate loss of approximately 2.5 billion Euros. Quite remarkably, only one-fourth of this cost consists of the aggregate transfer to the mafia. The remaining three-fourths corresponds to the contraction of production due to misallocation.

Suggested Citation

  • Lavinia Piemontese, 2020. "Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering," Working Papers 2025, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    • Handle: RePEc:gat:wpaper:2025
    as

    Download full text from publisher

    File URL: ftp://ftp.gate.cnrs.fr/RePEc/2020/2025.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paolo Buonanno & Ruben Durante & Giovanni Prarolo & Paolo Vanin, 2015. "Poor Institutions, Rich Mines: Resource Curse in the Origins of the Sicilian Mafia," Economic Journal, Royal Economic Society, vol. 125(586), pages 175-202, August.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Timothy Besley & Hannes Mueller, 2018. "Predation, Protection, and Productivity: A Firm-Level Perspective," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(2), pages 184-221, April.
    4. Paolo Angelini & Andrea Generale, 2008. "On the Evolution of Firm Size Distributions," American Economic Review, American Economic Association, vol. 98(1), pages 426-438, March.
    5. Ranasinghe, Ashantha, 2017. "Property rights, extortion and the misallocation of talent," European Economic Review, Elsevier, vol. 98(C), pages 86-110.
    6. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    7. Barone, Guglielmo & Narciso, Gaia, 2015. "Organized crime and business subsidies: Where does the money go?," Journal of Urban Economics, Elsevier, vol. 86(C), pages 98-110.
    8. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    9. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    10. Antonio Acconcia & Giancarlo Corsetti & Saverio Simonelli, 2014. "Mafia and Public Spending: Evidence on the Fiscal Multiplier from a Quasi-experiment," American Economic Review, American Economic Association, vol. 104(7), pages 2185-2209, July.
    11. Scognamiglio, Annalisa, 2018. "When the mafia comes to town," European Journal of Political Economy, Elsevier, vol. 55(C), pages 573-590.
    12. Diego Restuccia & Richard Rogerson, 2008. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 707-720, October.
    13. Lavinia Piemontese, 2013. "The Spread of Mafia in Northern Italy: The Role of Public Infrastructure," Rivista di Politica Economica, SIPI Spa, issue 4, pages 113-140, October-D.
    14. Galletta, Sergio, 2017. "Law enforcement, municipal budgets and spillover effects: Evidence from a quasi-experiment in Italy," Journal of Urban Economics, Elsevier, vol. 101(C), pages 90-105.
    15. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2013. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," American Economic Review, American Economic Association, vol. 103(1), pages 305-334, February.
    16. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    17. Stergios Skaperdas, 2001. "The political economy of organized crime: providing protection when the state does not," Economics of Governance, Springer, vol. 2(3), pages 173-202, November.
    18. Andrew Atkeson & Patrick J. Kehoe, 2005. "Modeling and Measuring Organization Capital," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 1026-1053, October.
    19. Francesco Amodio & Michele Di Maio, 2018. "Making Do With What You Have: Conflict, Input Misallocation and Firm Performance," Economic Journal, Royal Economic Society, vol. 128(615), pages 2559-2612, November.
    20. 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.
    21. Paolo Pinotti, 2015. "The Economic Costs of Organised Crime: Evidence from Southern Italy," Economic Journal, Royal Economic Society, vol. 125(586), pages 203-232, August.
    22. Litterio Mirenda & Sauro Mocetti & Lucia Rizzica, 2019. "The real effects of 'ndrangheta: firm-level evidence," Temi di discussione (Economic working papers) 1235, Bank of Italy, Economic Research and International Relations Area.
    23. Cristiana Donati & Domenico Sarno, 2015. "Are firms in "backward" areas of developed regions more financially constrained? The case of Italian SMEs," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(6), pages 1353-1375.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Francesca Maria Calamunci & Federico Fabio Frattini, 2023. "When Crime Tears Communities Apart: Social Capital and Organised Crime," Working Papers 2023.08, Fondazione Eni Enrico Mattei.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lavinia Piemontese, 2021. "Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering," Working Papers halshs-02928546, HAL.
    2. Jung Ho Choi, 2021. "Accrual Accounting and Resource Allocation: A General Equilibrium Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 59(4), pages 1179-1219, September.
    3. Marco Di Cataldo & Nicola Mastrorocco, 2022. "Organized Crime, Captured Politicians, and the Allocation of Public Resources [“Mafiaand Public Spending: Evidence on the Fiscal Multiplier from a Quasi-Experiment]," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 38(3), pages 774-839.
    4. Federico Cingano & Marco Tonello, 2020. "Law Enforcement, Social Control and Organized Crime: Evidence from Local Government Dismissals in Italy," 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 221-254, July.
    5. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.
    6. De loecker, Jan & Asker, John & Collard-Wexler, Allan, 2011. "Productivity volatility and the misallocation of resources in developing economies," CEPR Discussion Papers 8469, C.E.P.R. Discussion Papers.
    7. Neira, Julian, 2019. "Bankruptcy and cross-country differences in productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 359-381.
    8. Luis Garicano & Claire Lelarge & John Van Reenen, 2016. "Firm Size Distortions and the Productivity Distribution: Evidence from France," American Economic Review, American Economic Association, vol. 106(11), pages 3439-3479, November.
    9. Bloom, Nicholas & Van Reenen, John, 2011. "Human Resource Management and Productivity," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 19, pages 1697-1767, Elsevier.
    10. Russell W. Cooper & Immo Schott, 2023. "Capital reallocation and the cyclicality of aggregate productivity," Quantitative Economics, Econometric Society, vol. 14(4), pages 1337-1365, November.
    11. David, Joel M. & Schmid, Lukas & Zeke, David, 2022. "Risk-adjusted capital allocation and misallocation," Journal of Financial Economics, Elsevier, vol. 145(3), pages 684-705.
    12. Drago, Francesco & Calamunci, Francesca, 2020. "The economic impact of organized crime infiltration in the legal economy: evidence from the judicial administration of organize," CEPR Discussion Papers 14326, C.E.P.R. Discussion Papers.
    13. Alfano, Maria Rosaria & Cantabene, Claudia & Silipo, Damiano Bruno, 2019. "Mafia Firms and Aftermaths," ETA: Economic Theory and Applications 294194, Fondazione Eni Enrico Mattei (FEEM).
    14. van der Geest, Jesse, 2024. "Economic effects of tax avoidance and compliance," Other publications TiSEM aaca33bf-975d-4e21-9b5f-5, Tilburg University, School of Economics and Management.
    15. Francesca Calamunci & Francesco Drago, 2020. "The Economic Impact of Organized Crime Infiltration in the Legal Economy: Evidence from the Judicial Administration of Organized Crime Firms," 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 275-297, July.
    16. Andrea Pozzi & Fabiano Schivardi, 2016. "Demand or productivity: what determines firm growth?," RAND Journal of Economics, RAND Corporation, vol. 47(3), pages 608-630, August.
    17. Nicola Mastrorocco, 2018. "Organised Crime, Captured Politicians and the Allocation of Public Resources," Trinity Economics Papers tep1018, Trinity College Dublin, Department of Economics.
    18. Arnold, Jens & Scarpetta, Stefano & Nicoletti, Giuseppe, 2011. "Regulation, resource reallocation and productivity growth," EIB Papers 4/2011, European Investment Bank, Economics Department.
    19. Strauss, Hubert, 2011. "Productivity and growth in Europe: Editor's introduction," EIB Papers 1/2011, European Investment Bank, Economics Department.
    20. Haltiwanger, John, 2011. "Firm dynamics and productivity growth," EIB Papers 5/2011, European Investment Bank, Economics Department.

    More about this item

    Keywords

    Organized crime; Extortion Racketeering; Resource Misallocation; Welfare Loss; within-industry OP covariance;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gat:wpaper:2025. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Nelly Wirth (email available below). General contact details of provider: https://edirc.repec.org/data/gateefr.html .

    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.