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Offshore Financial Centres: Explaining the Regulation

Authors: Donato Masciandaro;

Offshore Financial Centres: Explaining the Regulation

Abstract

This paper claims that the regulation profile of the Offshore Financial Centres (OFCs) respect to the international standards defined to prevent potentially harmful phenomena - such as aggressive taxation, financial instability, money laundering and terrorism finance - depends on their specific structural features. In the designing of the regulatory framework the OFCs policymakers define the optimal degree of compliance maximizing a political cost benefit function. A simple model shows that the policymaker convenience to establish an OFC jurisdiction can depend on peculiar country endowments, consistently with a path dependency approach. The model is empirically tested using a 222 countries' sample, using different classifications of OFCs. On the one hand we find that the probability to be an OFC is greater with higher political stability, lower crime level, lower voice in international organizations, and if the country is characterized by a Common Law juridical system. Furthermore a low resources endowment seems to have a slightly influence on the choices to be an OFC. On the other hand it seems not to be crucial to use English as official language, to be a former colony, and also the geographical position it is not fundamental. The results are used for an overall assessment of the adequacy of the international policy aimed to fill the regulation gap, raising doubts on the persistency of the name and shame approach.

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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!
5
Average
Average
Average
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