A Quantitative Application of Enterprise and Social Embeddedness Theories to the Transnational Trafficking of Cocaine in Europe

Alberto Aziani, Giulia Berlusconi, Luca Giommoni

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

3 Citazioni (Scopus)

Abstract

Illegal enterprise and social embeddedness theories have highlighted the importance of market forces and social factors, respectively, for analyzing organized crime and organized criminal activities. This paper empirically demonstrates the joint explanatory power of these respective theories in the case of the transnational trafficking of cocaine. It does so by conceptualizing transnational cocaine trafficking as a network of relationships among countries; a network whose structure reflects the actions of manifold organized criminal groups. The analysis utilizes exponential random graph models to analyze quantitative data on cocaine trafficking which are ordinarily difficult to capture in empirical research. The analysis presented focuses on a set of 36 European countries. The results yield insights into the nature of the relationship among economic incentives, social ties, geographic features and corruption, and how, in turn, this relationship influences the structure of the transnational cocaine network and the modi operandi of cocaine traffickers.
Lingua originaleEnglish
pagine (da-a)N/A-N/A
Numero di pagine23
RivistaDeviant Behavior
Volume2019
DOI
Stato di pubblicazionePubblicato - 2019

Keywords

  • Cocaine trafficking
  • Empirical analysis
  • Exponential Random Graph Models
  • Illegal enterprise theory
  • Social Network Analysis
  • Social embeddedness

Fingerprint Entra nei temi di ricerca di 'A Quantitative Application of Enterprise and Social Embeddedness Theories to the Transnational Trafficking of Cocaine in Europe'. Insieme formano una fingerprint unica.

Cita questo