This paper studies extortion of firms operating in legal sectors by a profit-maximizing criminal organization. We develop a simple taxation model under asymmetric information to find the Mafia optimal extortion as a function of firms’ observable characteristics, namely size and sector. We test the predictions of the model on a unique dataset on extortion in Sicily, the Italian region where the Sicilian Mafia, one of the most ancient criminal organizations, operates. In line with our theoretical model, our empirical findings show that extortion is strongly concave with respect to firm size and highly regressive. The percentage of profits appropriated by the Mafia ranges from 40% for small firms to 2% for large enterprises. We derive some implications of these findings for market structure and economic development.

The economics of extortion: Theory and the case of the Sicilian Mafia / Balletta, Luigi; Lavezzi, Andrea Mario. - In: JOURNAL OF COMPARATIVE ECONOMICS. - ISSN 0147-5967. - 51:(2023), pp. 1109-1141. [10.1016/j.jce.2023.05.003]

The economics of extortion: Theory and the case of the Sicilian Mafia

Balletta, Luigi;
2023

Abstract

This paper studies extortion of firms operating in legal sectors by a profit-maximizing criminal organization. We develop a simple taxation model under asymmetric information to find the Mafia optimal extortion as a function of firms’ observable characteristics, namely size and sector. We test the predictions of the model on a unique dataset on extortion in Sicily, the Italian region where the Sicilian Mafia, one of the most ancient criminal organizations, operates. In line with our theoretical model, our empirical findings show that extortion is strongly concave with respect to firm size and highly regressive. The percentage of profits appropriated by the Mafia ranges from 40% for small firms to 2% for large enterprises. We derive some implications of these findings for market structure and economic development.
2023
The economics of extortion: Theory and the case of the Sicilian Mafia / Balletta, Luigi; Lavezzi, Andrea Mario. - In: JOURNAL OF COMPARATIVE ECONOMICS. - ISSN 0147-5967. - 51:(2023), pp. 1109-1141. [10.1016/j.jce.2023.05.003]
File in questo prodotto:
File Dimensione Formato  
1BallettaLavezzi2023.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 2.29 MB
Formato Adobe PDF
2.29 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/924623
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 7
social impact