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Fighting Multiple Tax Havens

Authors: May Elsayyad; Kai A. Konrad;

Fighting Multiple Tax Havens

Abstract

This paper develops a competition theory framework that evaluates an important aspect of the OECD’s Harmful Tax Practices Initiative against tax havens. We show that the sequential nature of the process is harmful and more costly than a "big bang" multilateral agreement. The sequentiality may even prevent the process from being completed successfully. Closing down a subset of tax havens reduces competition among the havens that remain active. This makes their "tax haven business" more profitable and shifts a larger share of rents to these remaining tax havens, making them more reluctant to give up their "tax haven business". Moreover, the outcome of this process, reducing the number of tax havens, but not eliminating them altogether, may reduce welfare in the OECD.

Country
Germany
Keywords

Steuerpolitik, 330, Welt, H26, OECD-Staaten-seitig, OECD-Staaten, Kritik, tax haven; harmful tax practices; bidding for haven inactivation, H77, tax haven, harmful tax practices, ddc:330, Steuerflucht, Steuerwettbewerb, bidding for haven inactivation, tax haven, harmful tax practices, bidding for haven inactivation, F21, H87, Steueroase, jel: jel:F21, jel: jel:H87, jel: jel:H26, jel: jel:H77

  • BIP!
    Impact byBIP!
    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).
    44
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
44
Top 10%
Top 10%
Top 10%
Green
bronze