Branislav Hock, Mark D. Button, David Shepherd, P. Gilmour
{"title":"What works in policing money laundering?","authors":"Branislav Hock, Mark D. Button, David Shepherd, P. Gilmour","doi":"10.1108/jmlc-07-2023-0109","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis paper aims to provide a comprehensive review of literature on policing money laundering to evaluate the quality of evidence presented in academic and grey literature. In doing so, this paper reflects upon what strategies and mechanisms work in preventing, detecting and disrupting money laundering.\n\n\nDesign/methodology/approach\nTo investigate the quality of evidence presented in academic and grey literature on money laundering, the authors have conducted a structured literature review of over 1,000 sources. The authors have then evaluated the quality of evidence of these sources by using three distinct methods, namely, the Maryland scale, research excellence framework and quality of empirical evidence framework.\n\n\nFindings\nThis paper finds a large number of studies on money laundering meeting the highest academic quality standard. However, only a very small number of those studies include empirical evidence that policing measures actually work with no study able to demonstrate a correlation between money laundering measures and risk factors at any point in time.\n\n\nOriginality/value\nThis paper provides practical and theoretical insights into what works in money laundering and the role of scientific evaluations. It is particularly relevant for the successful implementation of anti-money laundering policy measures, including, for example, the UK’s Economic Crime Plan 2023–2026, which aspires to measure the progress and impact of policing in this area.\n","PeriodicalId":46042,"journal":{"name":"Journal of Money Laundering Control","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Money Laundering Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jmlc-07-2023-0109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This paper aims to provide a comprehensive review of literature on policing money laundering to evaluate the quality of evidence presented in academic and grey literature. In doing so, this paper reflects upon what strategies and mechanisms work in preventing, detecting and disrupting money laundering.
Design/methodology/approach
To investigate the quality of evidence presented in academic and grey literature on money laundering, the authors have conducted a structured literature review of over 1,000 sources. The authors have then evaluated the quality of evidence of these sources by using three distinct methods, namely, the Maryland scale, research excellence framework and quality of empirical evidence framework.
Findings
This paper finds a large number of studies on money laundering meeting the highest academic quality standard. However, only a very small number of those studies include empirical evidence that policing measures actually work with no study able to demonstrate a correlation between money laundering measures and risk factors at any point in time.
Originality/value
This paper provides practical and theoretical insights into what works in money laundering and the role of scientific evaluations. It is particularly relevant for the successful implementation of anti-money laundering policy measures, including, for example, the UK’s Economic Crime Plan 2023–2026, which aspires to measure the progress and impact of policing in this area.
本文旨在对监管洗钱的文献进行全面回顾,以评估学术文献和灰色文献中提供的证据质量。在此过程中,本文反映了哪些战略和机制在预防、发现和破坏洗钱方面起作用。设计/方法/方法为了调查关于洗钱的学术文献和灰色文献中提供的证据的质量,作者对1000多个来源进行了结构化的文献综述。然后,作者通过使用三种不同的方法来评估这些来源的证据质量,即马里兰量表、研究卓越框架和经验证据框架的质量。本文发现大量关于洗钱的研究达到了最高的学术质量标准。然而,这些研究中只有极少数包括经验证据,表明警务措施确实有效,没有研究能够在任何时间点证明洗钱措施与风险因素之间的相关性。原创性/价值本文提供了在洗钱中起作用的实践和理论见解以及科学评估的作用。这对于成功实施反洗钱政策措施尤其重要,例如,英国的《2023-2026年经济犯罪计划》(Economic Crime Plan 2023-2026)旨在衡量这一领域警务工作的进展和影响。