Commodity taxation in a 'linear' world: a spatial panel data approach [An article from: Regional Science and Urban Economics] Buy on Amazon

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Commodity taxation in a 'linear' world: a spatial panel data approach [An article from: Regional Science and Urban Economics]

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PublisherElsevier
ISBN / ASINB000RR548O
ISBN-13978B000RR5489
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MarketplaceUnited States  🇺🇸

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This digital document is a journal article from Regional Science and Urban Economics, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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The assessment of tax competition in an economic geography framework has been of growing concern in the theory of public economics. For commodity taxes, Ohsawa [Regional Science and Urban Economics 29 (1999) 33] has analyzed the pattern of tax rates among countries that differ in size and geographical position. His findings suggest that commodity tax rates are (i) positively related to neighboring countries' tax rates, (ii) positively related to domestic country size, and (iii) increasing in the (weighted) competitors' country size. This paper evaluates these hypotheses, employing the spatial GMM estimators proposed by Kelejian and Prucha [International Economic Review 40 (1999) 509] and Kapoor et al. (unpublished), utilizing panel data for 22 OECD countries and the time period from 1965 to 1997. Our findings strongly support the core-periphery view of tax competition, and in particular Ohsawa's hypotheses on commodity taxation.

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