Estimating the International Cocaine Market: A Novel Combination of Excess Compensation and Stochastic Frontier Analysis

Ba Tam Le, Xuan Thi Thanh Mai, T. Ngo, Tu D. Q. Le
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Abstract

Abstract Although there are different ways to estimate the value of the illicit drug markets, the main issue remains that one cannot estimate the unseized or floating value of drugs at the country- and international-level markets. This study applies a novel estimation method that combines excess compensation estimation (from the financial field) and stochastic frontier analysis (from the operations research field) to estimate the value of the international cocaine market in 2019. Our estimations show that in 2019, the unseized market accounted for 32.16 % of the total market of cocaine and was smaller than the ratio of 48 % in 2007, indicating that the effectiveness of countries in disrupting the illicit cocaine market has improved. More importantly, we show that improvement in dealing with money laundering risks could also help reduce the illicit market of cocaine since illicit cocaine/drug proceeds must be laundered before they can be used by criminal organisations.
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估算国际可卡因市场:超额补偿与随机前沿分析的新组合
摘要 尽管有不同的方法来估算非法毒品市场的价值,但主要问题仍然是无法估算毒品在国家和国际层面市场的未实现价值或浮动价值。本研究采用一种新颖的估算方法,将超额补偿估算(来自金融领域)和随机前沿分析(来自运筹学领域)结合起来,估算 2019 年国际可卡因市场的价值。我们的估算结果表明,2019 年,未被查封的市场占可卡因总市场的 32.16%,小于 2007 年的 48%,表明各国打击非法可卡因市场的效果有所改善。更重要的是,我们表明,在应对洗钱风险方面的改进也有助于减少可卡因非法市场,因为非法可卡因/毒品收益在被犯罪组织使用之前必须经过洗钱。
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CiteScore
1.10
自引率
14.30%
发文量
16
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