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引用次数: 8
摘要
学术和政策文献还没有对犯罪组织如何洗钱进行系统的分析,除了描述谁进行这种非法活动和现有的犯罪收益洗钱的类型和做法之外。本文试图弥合非法经济文献中两种缺乏视角的分歧:一种与贩毒组织(dto)的结构有关,另一种与洗钱的理论概念化有关。它提供了一个关于dto如何选择洗钱的工作假设,这取决于每个结构的风险偏好,这是他们在管理层面进行人力资本投资的结果。我使用墨西哥dto作为案例研究(Arellano Felix、Sinaloa、La Familia Michoacana和Zetas),以及在与参与反洗钱措施的美国和墨西哥官员进行实地调查时收集的数据,展示了分层结构——被理解为处理信息和获取知识的结构——倾向于规避风险的方法,而轮毂网络倾向于使用风险容忍程序来洗钱。这些发现对理论发展和政策设计具有重要意义。
The Structure of Drug Trafficking Organizations and Money Laundering Practices: A Risk Appetite Hypothesis
Scholarly and policy literature has yet to provide a systematic analysis on how criminal organizations launder money beyond descriptions of who conducts this illegal activity and the existing types and practices for laundering the proceeds of crime. This article seeks to bridge the divide of two scant perspectives within illicit economies literature: one related to the structure of drug trafficking organizations (DTOs) and the other related to theoretical conceptualizations of money laundering. It provides a working hypothesis on how DTOs choose to launder money contingent on the risk appetite each structure has as a result of the investment in human capital they conduct at the managerial levels. Using Mexican DTOs as case studies (Arellano Felix, Sinaloa, La Familia Michoacana, and Zetas) and data collected during fieldwork with US and Mexican officials involved with anti-money laundering measures, I show hierarchical structures—understood as structures that process information and acquire knowledge—prefer risk-averse methods, whereas wheel networks tend to use risk-tolerant procedures for laundering money. These findings have important implications for theory development and policy design.