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The effect of corruption factor in harnessing global anti-money laundering regimes

机译:腐败因素在利用全球反洗钱制度中的作用

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Purpose – The purpose of this paper is to examine the effect of corruption on the transposition of global anti-money laundering regimes (AML), such as customer due diligence (CDD) locally. Design/methodology/approach – The global AML framework for purposes of this paper is underscored by the 40+9 recommendations of the Financial Action Task Force (FATF) and the principles of the Basle Committee on Banking Supervision. These standards are contained in FATF recommendations 2003; and the FATF nine special recommendations against Financing of Terrorism 2001 (updated in February 2008). The paper examines some aspects of the current anti-money laundering and combating financing of terrorism (AML/CFT) framework such as CDD and know your customer to highlight the challenges of harnessing the global AML/CFT regimes locally in some jurisdictions. Findings – The paper establishes that money laundering (ML) and corruption are embedded in each other. By way of examples, cases of ML are rampant in highly corrupt countries. Research limitations/implications – The dichotomy of corruption and its effect negates the global efforts on fighting ML/financing of terrorism. Social implications – Corruption in its various manifestations undermines a country's capacity to harness the global framework against ML and financing of terrorism. Thus, the twin offences of corruption and ML should be accorded the same level of attention as serious financial crimes at a global level. Originality/value – The paper is written based on the challenges of harnessing the global AML/CFT regimes in inherently corrupt governments. It draws particularly on experiences of corruption and ML in some countries in Africa.
机译:目的–本文的目的是研究腐败对全球反洗钱制度(AML)换位的影响,例如本地的客户尽职调查(CDD)。设计/方法/方法–金融行动任务组(FATF)的40 + 9建议和巴塞尔银行监管委员会的原则强调了针对本文的全球反洗钱框架。这些标准包含在2003年的FATF建议中。以及反洗钱金融行动特别组织的9项《 2001年打击资助恐怖主义的特别建议》(2008年2月更新)。本文研究了CDD等目前的反洗钱和打击恐怖主义融资(AML / CFT)框架的某些方面,并了解您的客户以突显在某些辖区本地利用全球AML / CFT机制的挑战。调查结果–该文件确定洗钱(ML)和腐败相互融合。举个例子,在高度腐败的国家里,机器学习的案例非常普遍。研究的局限性/意义–腐败的二分法及其影响否定了全球在打击洗钱/恐怖主义融资方面的努力。社会影响–各种形式的腐败破坏了一个国家利用全球框架打击洗钱和资助恐怖主义的能力。因此,应当在全球范围内将腐败和ML的双重犯罪与严重的金融犯罪同等重视。原创性/价值–本文是基于在固有腐败的政府中利用全球AML / CFT机制的挑战而撰写的。它特别借鉴了非洲一些国家的腐败和劳动大军经验。

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