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

Aziani, Alberto, Berlusconi, Giulia and Giommoni, Luca (2019) A Quantitative Application of Enterprise and Social Embeddedness Theories to the Transnational Trafficking of Cocaine in Europe Deviant Behavior.

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Aziani et al. (2019) Transnational trafficking ofcocaine_manuscript.pdf - Accepted version Manuscript
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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.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Sociology
Authors :
NameEmailORCID
Aziani, Alberto
Berlusconi, Giuliag.berlusconi@surrey.ac.uk
Giommoni, Luca
Date : 18 September 2019
DOI : 10.1080/01639625.2019.1666606
Copyright Disclaimer : This is an Accepted Manuscript of an article published by Taylor & Francis in Deviant Behavior on 18 September 2019, available online: http://www.tandfonline.com/10.1080/01639625.2019.1666606.
Uncontrolled Keywords : Enterprise theory; Social embeddedness; Cocaine trafficking; Social Network Analysis; Exponential Random Graph Models
Related URLs :
Depositing User : Clive Harris
Date Deposited : 10 Sep 2019 14:04
Last Modified : 13 Dec 2019 12:26
URI: http://epubs.surrey.ac.uk/id/eprint/852599

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