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The Effects of Money Laundering (ML) on Growth Application to the Gulf Countries

The Effects of Money Laundering (ML) on Growth Application to the Gulf Countries
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Author(s): Fakhri Issaoui (University of Tunis, Faculty of Economics and Management, Tunis, Tunisia), Toumi Hassen (University of Sfax, Economics and Management, Sfax, Tunisia)and Touili Wassim (University of Tunis, Economics, Tunis, Tunisia)
Copyright: 2020
Pages: 14
Source title: Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-2466-4.ch084

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Abstract

The strategic goal of this paper is to study the effects of the prevention policies against money laundering on growth in the gulf countries (Saudi Arabia, Kuwait, Qatar, Bahrain, UAE and Oman) from 1980 to 2014. Thus, the logistic regression (logit model) had given three fundamental results. The first had shown that the main policies in matter of fight against money laundering (anti money laundering law AMLL, suspicious transaction reporting STR, the criminalizing of terrorist financing CTF) have had positive effects on the increasing of probabilities to realize more growth. The second is that the said policies have had positive effects on the increasing of the degree of openness of the whole sample. The third is that the variable (proximity) had a positive and significant effect on anti-money laundering policies.

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