Subsidy Competition for FDI: Fierce or Weak?

Tomas Havranek

No 2009/07, Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies

Abstract: The objective of this paper is to empirically assess the recently introduced models of subsidy competition based on the classical oligopoly theories, using both cross-sectional and panel data. Three crucial scenarios (including coordination, weak competition, and fierce competition) are tested employing OLS, iteratively re-weighted least squares, fixed effects, and Blundell-Bond estimator. The results suggest that none of the scenarios can be strongly supported—although there is some weak support for cooperation—, and thus that empirical evidence is not in accordance with the tested models. Further, it seems that by means of FDI incentives countries try to compensate foreign investors for high wages or low productivity of their citizens.

Keywords: Panel data; Investment incentives; Foreign direct investment; Subsidy competition (search for similar items in EconPapers)
JEL-codes: C21 C23 F21 F23 H25 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2009-02, Revised 2009-02
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://ies.fsv.cuni.cz/default/file/download/id/12678 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://ies.fsv.cuni.cz/default/file/download/id/12678 [301 Moved Permanently]--> https://ies.fsv.cuni.cz/default/file/download/id/12678)

Related works:
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:fau:wpaper:wp2009_07

Access Statistics for this paper

More papers in Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Natalie Svarcova ().