IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/120306.html
   My bibliography  Save this paper

The effectiveness of a certification of legality. Evidence from Italian firms

Author

Listed:
  • Alfano, Maria Rosaria
  • Cantabene, Claudia
  • de Iudicibus, Alessandro

Abstract

Over the past decade, Italy has enacted a variety of measures to combat organized crime. White lists of legitimate businesses, established within each Italian prefecture, are a strategic tool to thwart mafia encroachment in the sectors most susceptible to infiltration. By replacing anti-mafia documentation, this mechanism fosters trust in the legality of enterprises among potential clients, suppliers, and financial institutions. Drawing on an extensive firm-level dataset, we employ a comprehensive, generalized difference-in-differences design to investigate the consequences of such certification on firms’ access to credit and their profitability. Our findings indicate that this certification engenders tangible positive effects on firms’ performance, manifested in improved credit access and enhanced profitability. Notably, the impact on banking obligations is particularly pronounced in regions where organized crime is more prevalent, such as the Southern regions of Italy. Conversely, the effect on profitability appears to be more accentuated in the North. These effects are more pronounced for firms that maintain certification over multiple years.

Suggested Citation

  • Alfano, Maria Rosaria & Cantabene, Claudia & de Iudicibus, Alessandro, 2024. "The effectiveness of a certification of legality. Evidence from Italian firms," MPRA Paper 120306, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:120306
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/120306/1/MPRA_paper_120306.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    White List; Organized crime; Certification; Reputation; DID;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • H81 - Public Economics - - Miscellaneous Issues - - - Governmental Loans; Loan Guarantees; Credits; Grants; Bailouts
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

    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:pra:mprapa:120306. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.