Fighting multiple tax havens
May Elsayyad and
Kai Konrad
Journal of International Economics, 2012, vol. 86, issue 2, 295-305
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.
Keywords: Tax haven; Harmful tax practices; Bidding for haven inactivation (search for similar items in EconPapers)
JEL-codes: F21 H26 H77 H87 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (40)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022199611001176
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Fighting Multiple Tax Havens (2012) 
Working Paper: Fighting Multiple Tax Havens (2011) 
Working Paper: Fighting Multiple Tax Havens (2010) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:inecon:v:86:y:2012:i:2:p:295-305
DOI: 10.1016/j.jinteco.2011.09.002
Access Statistics for this article
Journal of International Economics is currently edited by Gourinchas, Pierre-Olivier and RodrÃguez-Clare, Andrés
More articles in Journal of International Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().