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Mafia risk perception: Evaluating the effect of organized crime on firm technical efficiency and investment proclivity

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  • Forgione, Antonio Fabio
  • Migliardo, Carlo

Abstract

The presence of illegal organizations in economic development settings contributes to the Italian economy’s regional heterogeneity by exacerbating other inefficiencies. We aim to investigate how three indicators of awareness of criminal interest in a firm’s activities affect the latter’s efficiency, as well as examining a potential channel through which illegal activities could hinder firm performance, using a unique set of firm-level data. According to our findings, the presence of criminal network pressure in a firm’s environment reduces its technical efficiency and propensity to invest. This phenomenon is particularly strong in Italy’s underdeveloped regions, across all illicit considered and risk classes, with inefficiency doubling when the fear of crime becomes significant. A similar pattern emerges in terms of firm investment proclivity. The research findings are relevant for policymakers because they demonstrate that even the perception of a criminal threat has significant effects on a firm’s performance; consequently, enhancing legal protection could prevent significant economic and social costs.

Suggested Citation

  • Forgione, Antonio Fabio & Migliardo, Carlo, 2023. "Mafia risk perception: Evaluating the effect of organized crime on firm technical efficiency and investment proclivity," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:soceps:v:88:y:2023:i:c:s0038012123001192
    DOI: 10.1016/j.seps.2023.101619
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    as
    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. 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.
    3. Graziella Bonanno, 2016. "ICT and R&D as inputs or efficiency determinants? Analysing Italian manufacturing firms (2007–2009)," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 383-404, December.
    4. Pinotti, Paolo, 2020. "The credibility revolution in the empirical analysis of crime," CEPR Discussion Papers 14850, C.E.P.R. Discussion Papers.
    5. Joachim Wagner, 2016. "Exports and Productivity: A Survey of the Evidence from Firm Level Data," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 1, pages 3-41, World Scientific Publishing Co. Pte. Ltd..
    6. Fan, Shuangrui & Wang, Cong, 2021. "Firm age, ultimate ownership, and R&D investments," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1245-1264.
    7. Lavinia Piemontese, 2021. "Uncovering Illegal and Underground Economies: The Case of Mafia Extortion Racketeering," Working Papers halshs-02928546, HAL.
    8. Awaworyi Churchill, Sefa & Hayward, Mathew & Smyth, Russell & Trinh, Trong-Anh, 2023. "Crime, community social capital and entrepreneurship: Evidence from Australian communities," Journal of Business Venturing, Elsevier, vol. 38(2).
    9. Livio Ferrante & Stefania Fontana & Francesco Reito, 2021. "Mafia and bricks: unfair competition in local markets and policy interventions," Small Business Economics, Springer, vol. 56(4), pages 1461-1484, April.
    10. Antonio Fabio Forgione & Carlo Migliardo, 2019. "An empirical analysis of the impact of trade credit on bank debt restructuring," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 415-438, July.
    11. Movahedi, Mohammad & Shahbazi, Kiumars & Gaussens, Olivier, 2017. "Innovation and willingness to export: Is there an effect of conscious self-selection?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-22.
    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. Giuseppe Albanese & Giuseppe Marinelli, 2013. "Organized Crime and Productivity: Evidence from Firm-Level Data," Rivista italiana degli economisti, Società editrice il Mulino, issue 3, pages 367-394.
    14. Roberto Ganau & Andrés Rodríguez†Pose, 2018. "Industrial clusters, organized crime, and productivity growth in Italian SMEs," Journal of Regional Science, Wiley Blackwell, vol. 58(2), pages 363-385, March.
    15. Hay, Donald A & Liu, Guy S, 1997. "The Efficiency of Firms: What Difference Does Competition Make?," Economic Journal, Royal Economic Society, vol. 107(442), pages 597-617, May.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Ashby, Nathan J. & Ramos, Miguel A., 2013. "Foreign direct investment and industry response to organized crime: The Mexican case," European Journal of Political Economy, Elsevier, vol. 30(C), pages 80-91.
    18. Andrés Rodríguez-Pose & Marco Di Cataldo, 2015. "Quality of government and innovative performance in the regions of Europe," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 673-706.
    19. Benjamin Powell & G.P. Manish & Malavika Nair, 2010. "Corruption, Crime and Economic Growth," Chapters, in: Bruce L. Benson & Paul R. Zimmerman (ed.), Handbook on the Economics of Crime, chapter 13, Edward Elgar Publishing.
    20. Hans Lööf & Pardis Nabavi Larijani & Gary Cook & Börje Johansson, 2015. "Learning-by-exporting and innovation strategies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 52-64, March.
    21. Paolo Pinotti, 2020. "The credibility revolution in the empirical analysis of crime," BAFFI CAREFIN Working Papers 20144, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    22. Paolo Buonanno & Daniel Montolio & Paolo Vanin, 2009. "Does Social Capital Reduce Crime?," Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 145-170, February.
    23. Paolo Pinotti, 2020. "The Credibility Revolution in the Empirical Analysis of Crime," 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 207-220, July.
    24. Peiró-Palomino, Jesús & Perugini, Francesco, 2022. "Regional innovation disparities in Italy: The role of governance," Economic Systems, Elsevier, vol. 46(4).
    25. 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.
    26. 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.
    27. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    28. Daniele, Vittorio & Marani, Ugo, 2011. "Organized crime, the quality of local institutions and FDI in Italy: A panel data analysis," European Journal of Political Economy, Elsevier, vol. 27(1), pages 132-142, March.
    29. 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.
    30. Berlemann Michael & Wesselhöft Jan-Erik, 2014. "Estimating Aggregate Capital Stocks Using the Perpetual Inventory Method: A Survey of Previous Implementations and New Empirical Evidence for 103 Countries," Review of Economics, De Gruyter, vol. 65(1), pages 1-34, April.
    31. Ravenda, Diego & Giuranno, Michele G. & Valencia-Silva, Maika M. & Argiles-Bosch, Josep M. & García-Blandón, Josep, 2020. "The effects of mafia infiltration on public procurement performance," European Journal of Political Economy, Elsevier, vol. 64(C).
    32. Robert Huggins & Piers Thompson, 2016. "Socio-Spatial Culture and Entrepreneurship: Some Theoretical and Empirical Observations," Economic Geography, Taylor & Francis Journals, vol. 92(3), pages 269-300, July.
    33. Claudio Detotto & Edoardo Otranto, 2010. "Does Crime Affect Economic Growth?," Kyklos, Wiley Blackwell, vol. 63(3), pages 330-345, August.
    34. Fazekas, Mihály & Tóth, Bence, 2018. "The extent and cost of corruption in transport infrastructure. New evidence from Europe," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 35-54.
    35. Mustafa U. Karakaplan, 2017. "Fitting endogenous stochastic frontier models in Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 39-55, March.
    36. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    37. George Saridakis & Anne-Marie Mohammed & Sandra Sookram, 2015. "Does Crime Affect Firm Innovation? Evidence from Trinidad and Tobago," Economics Bulletin, AccessEcon, vol. 35(2), pages 1205-1215.
    38. Vivekananda Mukherjee & Paramita Mukherjee & Saheli Bose, 2022. "Extortion, competition among states and private investment in a federation: evidence from Indian manufacturing sector," Economic Change and Restructuring, Springer, vol. 55(2), pages 973-1004, May.
    39. 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.
    40. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    41. Luisa R. Blanco & Isabel Ruiz & Rossitza B. Wooster, 2019. "The effect of violent crime on sector-specific FDI in Latin America," Oxford Development Studies, Taylor & Francis Journals, vol. 47(4), pages 420-434, October.
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