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SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2013
Data sources: EconStor
EconStor
Research . 2012
Data sources: EconStor
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Tax and the City - A Theory of Local Tax Competition and Evidence for Germany

Authors: Janeba, Eckhard; Osterloh, Steffen;

Tax and the City - A Theory of Local Tax Competition and Evidence for Germany

Abstract

Despite the well-developed empirical literature on local tax competition, little is known about the actual spatial structure of inter-municipal competition. Assuming that competition takes place only among neighbours (as in the empirical literature) is at odds with the theoretical approaches where all jurisdictions compete simultaneously. In this paper we use a survey conducted among mayors in the German state of Baden-Wurttemberg to show that the perceived intensity of competition for firms varies considerably between jurisdictions and can mainly be explained by the size and location of the jurisdiction. Based on these findings, we develop a sequential tax competition model in which urban centres compete with other urban centres and rural jurisdictions in their own neighbourhood. This model predicts that larger jurisdictions do not necessarily rely more on capital taxes; in case they face strong competition with more distant competitors, larger cities even have lower capital taxes. In addition, we discuss how the model compares to a standard simultaneous approach and show that results from our sequential model are in line with trends in local taxation in Baden-Wurttemberg.

Country
Germany
Keywords

330, ddc:330, local tax competition,survey,intensity of competition,asymmetric tax competition, local tax competition, survey, H77, H71, asymmetric tax competition, H73, intensity of competition, jel: jel:H73, jel: jel:H71, jel: jel:H77

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    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).
    9
    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.
    Average
    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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    impulse
    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!
9
Average
Average
Top 10%
Green
bronze