Exploring the determinants of anti-mafia entrepreneurial behaviour: an empirical study on southern Italian SMEs

Loredana Picciotto, Fabio La Rosa

Risultato della ricerca: Article

2 Citazioni (Scopus)

Abstract

This study analyses organized crime from an economic perspective and highlights the crucial role of extortion in mafia activities. From an economic viewpoint, we debate the conditions that lead companies to resist mafia extortion. To study the reactions of firms to extortion, we adopt an institutional perspective and consider the contribution of different theories in the socially responsible behaviour and organized crime literature, in an attempt to understand this complex entrepreneurial behaviour better. A sample of 116 southern Italian SMEs, whose entrepreneurs have publicly opposed mafia extortion, was selected. By adopting a matched-pair design, anti-mafia firms were subsequently matched against a control sample. Determinants of anti-mafia behaviour were investigated by using both unconditional and conditional logistic regression models, in order to regress the anti-mafia choice on a set of economic, demographic, governance, and control variables. The results show that both financial and governance variables are significant determinants of anti-mafia entrepreneurial behaviour (AEB), whereas demographic variables are not relevant.
Lingua originaleEnglish
pagine (da-a)1-37
Numero di pagine37
RivistaEntrepreneurship and Regional Development
Stato di pubblicazionePublished - 2017

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Entrepreneurial behavior
Extortion
Empirical study
Small and medium-sized enterprises
Organized crime
Economics
Governance
Demographic economics
Demographic variables
Institutional perspective
Logistic regression model
Control variable
Entrepreneurs

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Economics and Econometrics

Cita questo

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title = "Exploring the determinants of anti-mafia entrepreneurial behaviour: an empirical study on southern Italian SMEs",
abstract = "This study analyses organized crime from an economic perspective and highlights the crucial role of extortion in mafia activities. From an economic viewpoint, we debate the conditions that lead companies to resist mafia extortion. To study the reactions of firms to extortion, we adopt an institutional perspective and consider the contribution of different theories in the socially responsible behaviour and organized crime literature, in an attempt to understand this complex entrepreneurial behaviour better. A sample of 116 southern Italian SMEs, whose entrepreneurs have publicly opposed mafia extortion, was selected. By adopting a matched-pair design, anti-mafia firms were subsequently matched against a control sample. Determinants of anti-mafia behaviour were investigated by using both unconditional and conditional logistic regression models, in order to regress the anti-mafia choice on a set of economic, demographic, governance, and control variables. The results show that both financial and governance variables are significant determinants of anti-mafia entrepreneurial behaviour (AEB), whereas demographic variables are not relevant.",
keywords = "anti-mafia entrepreneurial behaviour; Mafia; organized crime; small firms; socially responsible behaviour; southern Italy; Business and International Management; Economics and Econometrics",
author = "Loredana Picciotto and {La Rosa}, Fabio",
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journal = "Entrepreneurship and Regional Development",
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AU - Picciotto, Loredana

AU - La Rosa, Fabio

PY - 2017

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N2 - This study analyses organized crime from an economic perspective and highlights the crucial role of extortion in mafia activities. From an economic viewpoint, we debate the conditions that lead companies to resist mafia extortion. To study the reactions of firms to extortion, we adopt an institutional perspective and consider the contribution of different theories in the socially responsible behaviour and organized crime literature, in an attempt to understand this complex entrepreneurial behaviour better. A sample of 116 southern Italian SMEs, whose entrepreneurs have publicly opposed mafia extortion, was selected. By adopting a matched-pair design, anti-mafia firms were subsequently matched against a control sample. Determinants of anti-mafia behaviour were investigated by using both unconditional and conditional logistic regression models, in order to regress the anti-mafia choice on a set of economic, demographic, governance, and control variables. The results show that both financial and governance variables are significant determinants of anti-mafia entrepreneurial behaviour (AEB), whereas demographic variables are not relevant.

AB - This study analyses organized crime from an economic perspective and highlights the crucial role of extortion in mafia activities. From an economic viewpoint, we debate the conditions that lead companies to resist mafia extortion. To study the reactions of firms to extortion, we adopt an institutional perspective and consider the contribution of different theories in the socially responsible behaviour and organized crime literature, in an attempt to understand this complex entrepreneurial behaviour better. A sample of 116 southern Italian SMEs, whose entrepreneurs have publicly opposed mafia extortion, was selected. By adopting a matched-pair design, anti-mafia firms were subsequently matched against a control sample. Determinants of anti-mafia behaviour were investigated by using both unconditional and conditional logistic regression models, in order to regress the anti-mafia choice on a set of economic, demographic, governance, and control variables. The results show that both financial and governance variables are significant determinants of anti-mafia entrepreneurial behaviour (AEB), whereas demographic variables are not relevant.

KW - anti-mafia entrepreneurial behaviour; Mafia; organized crime; small firms; socially responsible behaviour; southern Italy; Business and International Management; Economics and Econometrics

UR - http://hdl.handle.net/10447/243401

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JO - Entrepreneurship and Regional Development

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