The magnitude and consequences of money laundering

Author:

Nazar Sadia,Raheman Abdul,Anwar ul Haq Muhammad

Abstract

Purpose This study aims to estimate the amount of money laundering (ML) with multiple proxy approaches and measure the effects of ML on various indicators of the economic and financial sectors. Theoretical justifications are recruited from the parasite theory of organised crime. Design/methodology/approach A quantitative research methodology was used on a balanced panel data set to test the study’s hypothesis through generalised method of moment (GMM). The study sample consisted of 77 countries, and the data was collected for 15 years (2005–2019). Findings A study has found that 1.23% of global gross domestic product is laundered yearly, and there is no noticeable decline in ML activities. Further study has also found that ML has devastating effects on countries, government revenue, foreign investment, economic development, political and peace conditions, bank liquidity, interest rate volatility and exchange rate volatility. The study has not witnessed the negative consequence of ML on countries’ inflation rates. Practical implications Estimates of the study guide policymakers about the volume of resources fleeing and helps them to decide the level of response needed. Further findings help them prioritise the response system according to the area most affected. Originality/value This study is an original contribution by the authors and has studied the effects of ML by computing the amount of ML by four different proxies.

Publisher

Emerald

Subject

Law,General Economics, Econometrics and Finance,Public Administration

Reference13 articles.

1. The impact of exchange-rate volatility on export growth: some theoretical considerations and empirical results;Journal of Policy Modeling,1987

2. The impact of corruption on government revenues: the Turkish case,2019

3. Concentration and other determinants of bank profitability in Europe, North America and Australia;Journal of Banking and Finance,1989

4. A simple formula to compute the implied standard deviation;Financial Analysts Journal,1988

5. Claessens, S. and Naude, D. (1993), “Recent estimates of capital flight”, Policy Research Working Papers, (October 1993).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3