Factors of Money Laundering Risk in China's Pilot Free Trade Zones Based on Fuzzy Cognitive Map

doi:10.12005/orms.2022.0166

Abstract

Abstract: The factors affecting money laundering risk in China's Pilot Free Trade Zones (CPFTZs) are interrelated, and their relationships are evaluated by experts' cognition. The paper uses the iterative reasoning mechanism of fuzzy cognitive map and the grey relational analysis to calculate the correlation degree between the factors and CPFTZ money laundering risk, and then recognizes the mainfactors that affect money laundering risk in CPFTZs. It finds that the soundness of anti-money laundering laws and regulations, the scale of predicate crimes, the effectiveness of anti-money laundering supervision authorities and obligatory subjects, the level of judicial cooperation, and the rate of settlement of predicatecrimes aremajor influencing factors, which can be referred to in CPFTZs'anti-money laundering decision-making practice.

Key words: China's pilot free trade zones (CPFTZs), money laundering risk, factors, fuzzy cognitive map, grey relational analysis

摘要： 自贸区洗钱风险的影响因素相互关联,通过专家认知判断自贸区洗钱风险各影响因素间相互关系。运用模糊认知图的迭代推理机制,借助灰色关联度,计算各影响因素与自贸区洗钱风险的关联度,识别影响自贸区洗钱风险的主要因素。研究表明,自贸区内反洗钱法律法规健全度、上游犯罪规模、反洗钱监管当局和义务主体履职效力、司法合作水平、上游犯罪结案率是影响自贸区洗钱风险的主要因素,这为我国自贸区反洗钱实务工作提供了决策参考。

关键词: 自贸区, 洗钱风险, 影响因素, 模糊认知图, 灰色关联度

CLC Number:

F727
C934

GAO Zeng-an, WANG Xiao-cao. Factors of Money Laundering Risk in China's Pilot Free Trade Zones Based on Fuzzy Cognitive Map[J]. Operations Research and Management Science, 2022, 31(5): 177-182.

高增安, 汪小草. 基于模糊认知图的我国自贸区洗钱风险影响因素研究[J]. 运筹与管理, 2022, 31(5): 177-182.

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