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Journal of Comparative Economics
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2003 . Peer-reviewed
Data sources: Crossref
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Provincial Protectionism

Authors: Sonin, Konstantin;

Provincial Protectionism

Abstract

In a federal state, political leaders of constituent units might protect their enterprises from the federal center (e.g., allowing them not to pay federal taxes). The effectiveness of such protection depends crucially on the ability of local authorities to extract rents from enterprises. They can easily do so, if there are a small number of enterprises with large employment, and local monopolies can be effectively sustained. They cannot do it so easily if regional industry is competitive, political opposition is strong, and the federal center has enough means to enforce payment of taxes. We build a simple model to argue that it is the industrial structure of constituent units that determines political relations between them and the federal centre. The theory is supported by the recent experience of Russia, China, and Argentina.

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Keywords

china; federalism; political economics; russia, jel: jel:P30, jel: jel:P20, jel: jel:H77

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    popularity
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    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.
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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!
36
Top 10%
Top 10%
Top 10%
bronze