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EconStor
Research . 2012
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Combating Money Laundering and the Financing of Terrorism: A Survey

Authors: Stefan Haigner; Friedrich Schneider; Florian Wakolbinger;

Combating Money Laundering and the Financing of Terrorism: A Survey

Abstract

Policy programs on anti-money laundering and combating the financing of terrorism (AML/CFT) have largely called for preventive measures like keeping record of financial transactions and reporting suspicious ones. In this survey study, we analyze the extent of global money laundering and terrorist financing and discuss the preventive policies and their evaluations. Moreover, we investigate whether more effective tax information exchange would bolster AML/CFT policies in that it reduced tax evasion, thus the volume of transnational financial flows (i.e. to and from offshore financial centres) and thus in turn cover given to money laundering and terrorist financing. We conclude that such a strategy can reduce financial flows, yet due to a "weakest link problem" even a few countries not participating can greatly undo what others have achieved.

Keywords

money laundering, tax information exchange, ddc:330, K42, H56, H26, terrorist financing, money laundering, terrorist financing, tax information exchange, jel: jel:K42, jel: jel:H56, jel: jel:H26

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green