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A Loan You Can’t Refuse: Credit Rationing and Organized Crime Infiltration of Distressed Firms

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  • Gianmarco Daniele
  • Marco De Simoni
  • Domenico J. Marchetti
  • Giovanna Marcolongo
  • Paolo Pinotti

Abstract

We show that credit constraints significantly increase the risk that firms are infiltrated by organized crime, defined as the covert involvement of criminal organizations in corporate decision-making. Using confidential data on criminal investigations, credit ratings, and loan histories for the universe of Italian firms, we find that a downgrade to substandard credit status reduces credit availability by 30% over five years and increases the probability of infiltration by 5%, relative to comparable firms. A local randomization design comparing firms just above and below the downgrade threshold confirms this result. The effect is pervasive across sectors and regions, but particularly strong in real estate, where the probability of infiltration rises by 10% following a downgrade. Infiltrated firms also display higher survival rates than other downgraded firms, despite similar declines in employment and revenues. These findings suggest that organized crime can serve as a financial backstop – sustaining non-viable businesses and potentially redirecting their strategies to serve criminal interests.

Suggested Citation

  • Gianmarco Daniele & Marco De Simoni & Domenico J. Marchetti & Giovanna Marcolongo & Paolo Pinotti, 2025. "A Loan You Can’t Refuse: Credit Rationing and Organized Crime Infiltration of Distressed Firms," CESifo Working Paper Series 12219, CESifo.
  • Handle: RePEc:ces:ceswps:_12219
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    1. 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.
    2. 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.
    3. Kalina Manova, 2013. "Credit Constraints, Heterogeneous Firms, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(2), pages 711-744.
    4. Giacomo Rodano & Nicolas Serrano-Velarde & Emanuele Tarantino, 2018. "Lending Standards over the Credit Cycle," The Review of Financial Studies, Society for Financial Studies, vol. 31(8), pages 2943-2982.
    5. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    6. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    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. Abhijit V. Banerjee & Esther Duflo, 2014. "Do Firms Want to Borrow More? Testing Credit Constraints Using a Directed Lending Program," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 572-607.
    9. Rodano, Giacomo & Serrano-Velarde, Nicolas & Tarantino, Emanuele, 2016. "Bankruptcy law and bank financing," Journal of Financial Economics, Elsevier, vol. 120(2), pages 363-382.
    10. 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.
    11. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2023. "A Practical Introduction to Regression Discontinuity Designs: Extensions," Papers 2301.08958, arXiv.org, revised Mar 2024.
    12. Daron Acemoglu & Giuseppe De Feo & Giacomo Davide De Luca, 2020. "Weak States: Causes and Consequences of the Sicilian Mafia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 537-581.
    13. Federico Cingano & Francesco Manaresi & Enrico Sette, 2016. "Does Credit Crunch Investment Down? New Evidence on the Real Effects of the Bank-Lending Channel," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2737-2773.
    14. Fabiano Schivardi & Enrico Sette & Guido Tabellini, 2020. "Identifying the Real Effects of Zombie Lending," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 569-592.
    15. Brigitte Unger & Joras Ferwerda, 2011. "Money Laundering in the Real Estate Sector," Books, Edward Elgar Publishing, number 13952, June.
    16. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    17. Fabio Panetta & Fabiano Schivardi & Matthew Shum, 2009. "Do Mergers Improve Information? Evidence from the Loan Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 673-709, June.
    18. Dimico, Arcangelo & Isopi, Alessia & Olsson, Ola, 2017. "Origins of the Sicilian Mafia: The Market for Lemons," The Journal of Economic History, Cambridge University Press, vol. 77(4), pages 1083-1115, December.
    19. Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2024. "Revisiting Event-Study Designs: Robust and Efficient Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3253-3285.
    20. Thea How Choon & Giovanna Marcolongo & Paolo Pinotti, 2024. "Money Talks to Autocrats, Bullets Whistle to Democrats: Political Influence under Different Regimes," CESifo Working Paper Series 11323, CESifo.
    21. Luigi Guiso & Luigi Pistaferri & Fabiano Schivardi, 2013. "Credit within the Firm," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 211-247.
    22. Müge Adalet McGowan & Dan Andrews & Valentine Millot & Thorsten BeckManaging Editor, 2018. "The walking dead? Zombie firms and productivity performance in OECD countries," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(96), pages 685-736.
    23. Alberto Alesina & Salvatore Piccolo & Paolo Pinotti, 2019. "Organized Crime, Violence, and Politics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(2), pages 457-499.
    24. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    25. Thea How Choon & Giovanna Marcolongo & Paolo Pinotti, 2024. "Money Talks to Autocrats, Bullets Whistle to Democrats: Political Influence under Different Regimes," BAFFI CAREFIN Working Papers 24229, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    26. Viral V. Acharya & Matteo Crosignani & Tim Eisert & Christian Eufinger, 2024. "Zombie Credit and (Dis‐)Inflation: Evidence from Europe," Journal of Finance, American Finance Association, vol. 79(3), pages 1883-1929, June.
    27. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    28. Campedelli, Gian Maria & Daniele, Gianmarco & Martinangeli, Andrea F.M. & Pinotti, Paolo, 2023. "Organized crime, violence and support for the state," Journal of Public Economics, Elsevier, vol. 228(C).
    29. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    30. 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.
    31. Ricardo J. Caballero & Takeo Hoshi & Anil K. Kashyap, 2008. "Zombie Lending and Depressed Restructuring in Japan," American Economic Review, American Economic Association, vol. 98(5), pages 1943-1977, December.
    32. Marco Le Moglie & Giuseppe Sorrenti, 2022. "Revealing "Mafia Inc."? Financial Crisis, Organized Crime, and the Birth of New Enterprises," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 142-156, March.
    33. Pablo Slutzky & Stefan Zeume, 2024. "Organized Crime and Firms: Evidence from Antimafia Enforcement Actions," Management Science, INFORMS, vol. 70(10), pages 6569-6596, October.
    34. Aghion, Philippe & Angeletos, George-Marios & Banerjee, Abhijit & Manova, Kalina, 2010. "Volatility and growth: Credit constraints and the composition of investment," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 246-265, April.
    35. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    36. Emilia Bonaccorsi di Patti, 2009. "Weak institutions and credit availability: the impact of crime on bank loans," Questioni di Economia e Finanza (Occasional Papers) 52, Bank of Italy, Economic Research and International Relations Area.
    37. Cattaneo Matias D. & Frandsen Brigham R. & Titiunik Rocío, 2015. "Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate," Journal of Causal Inference, De Gruyter, vol. 3(1), pages 1-24.
    38. 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.
    39. Daniele, Gianmarco & Dipoppa, Gemma, 2017. "Mafia, elections and violence against politicians," Journal of Public Economics, Elsevier, vol. 154(C), pages 10-33.
    40. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    41. Litterio Mirenda & Sauro Mocetti & Lucia Rizzica, 2022. "The Economic Effects of Mafia: Firm Level Evidence," American Economic Review, American Economic Association, vol. 112(8), pages 2748-2773, August.
    42. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    43. Marco Castelluccio & Lucia Rizzica, 2023. "Mafia infiltrations in times of crisis: Evidence from the Covid-19 shock," IFS Working Papers W23/28, Institute for Fiscal Studies.
    44. Alessandra Fenizia & Raffaele Saggio, 2024. "Organized Crime and Economic Growth: Evidence from Municipalities Infiltrated by the Mafia," American Economic Review, American Economic Association, vol. 114(7), pages 2171-2200, July.
    45. D'Auria, Claudio & Foglia, Antonella & Reedtz, Paolo Marullo, 1999. "Bank interest rates and credit relationships in Italy," Journal of Banking & Finance, Elsevier, vol. 23(7), pages 1067-1093, July.
    46. 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.
    47. Gianmarco Daniele & Gemma Dipoppa, 2023. "Fighting Organized Crime by Targeting their Revenue: Screening, Mafias, and Public Funds," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 39(3), pages 722-746.
    48. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, November.
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    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

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