Estévez-Soto, P;
(2021)
Determinants of extortion compliance: Empirical evidence from a victimisation survey.
The British Journal of Criminology
, Article azab007. 10.1093/bjc/azab007.
(In press).
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Abstract
This article focuses on the situational-, victim- and area-level determinants of extortion compliance. Extortion, a quintessential organized crime, is one of the most common crimes in Mexico. However, compliance with extortion demands is relatively rare. Previous research suggests that compliance with extortion depends on the perceived risk of punishment for non-compliance. However, most research has been theoretical or experimental. The article offers empirical evidence of patterns of extortion compliance based on data from a large commercial victimization survey conducted in Mexico. Findings suggest that situational factors (extortion type, the presence of weapons and number of offenders) are the main determinants of extortion compliance. Victim- and area-level variables have comparatively smaller effects. Implications for research and practice are discussed.
| Type: | Article |
|---|---|
| Title: | Determinants of extortion compliance: Empirical evidence from a victimisation survey |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/bjc/azab007 |
| Publisher version: | https://doi.org/10.1093/bjc/azab007 |
| Language: | English |
| Additional information: | © The Author(s) 2021. Published by Oxford University Press on behalf of the Centre for Crime and Justice Studies (ISTD). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10119511 |
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