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作 者:陈亮[1] Chen Liang(School of Criminal Investigation,People’s Public Security University of China,Beijing,100038)
出 处:《信息资源管理学报》2021年第5期27-37,共11页Journal of Information Resources Management
基 金:2020年度中国人民公安大学国家安全高精尖学科资助项目“应对重大安全危机的反脆弱系统研究”(2020GDLW008)的成果。
摘 要:洗钱犯罪活动在全球范围呈高发态势,为有效打击和遏制洗钱犯罪,基于情报主导警务理论可针对洗钱团伙进行威胁评估,以确定打击犯罪的重点,科学调配警务资源。本研究通过德尔菲法及皮尔森相关系数检验选取隐蔽能力、专业化程度、与上游犯罪团伙的勾联、情报能力等13项指标对洗钱团伙进行画像,并进一步对洗钱及其上游犯罪的危害性展开评级,从而构建测度洗钱犯罪威胁的综合评估模型。运用本模型可以帮助警方理清洗钱及相关犯罪团伙的组织结构、运行模式,发现其脆弱性,优化反洗钱情报侦查的战略决策。Money laundering has a high incidence in the world.In order to effectively combat and contain money laundering,we can carry out threat assessment against money laundering gangs,so as to determine key targets of fighting crimes and reasonably allocate police resources.This method originates from the theory of intelligence-led policing.Through Delphi and Pearson correlation coefficient,the author selects 13 indicators such as concealment ability,degree of specialization,connection with upstream criminal gangs,intelligence ability,etc.to profile money laundering gangs,and further evaluates the harmfulness of money laundering with its upstream crimes,thus forming a comprehensive evaluation model to measure the threat of these crimes.This model can help the police clarify the organizational structure and operation mode of money laundering and related criminal gangs,find their vulnerability and finally optimize the strategic decision-making of anti-money laundering intelligence investigation.
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