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Conditional tax competition in American states

Bibliographic Data

ID6296159
AuthorsVincent Arel-Bundock (0000-0003-2042-7063, Université de Montréal), Srinivas C Parinandi (0000-0001-5863-2965, University of Colorado Boulder), Srinivas Parinandi
Year2018
Volume38
Issue2
Pages191-220
Publication date2018-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Public Policy (JOURNAL)
Journal identifiersISSN: 0143-814X • E-ISSN: 1469-7815
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0143814x17000071
OpenAlexW2724426455
LanguageEN
Citations received3
References cited41

Cross-border commercial activity raises issues in federations where multiple jurisdictions can claim the right to tax the same income. In the United States, this coordination problem is resolved by splitting the tax base according to the geographic distribution of firms’ sales, capital and labour. The weight of each factor is determined on a state-by-state basis, which opens room for competitive legislative behaviour. In this complex issue area, however, policymakers must invest lot of resources to monitor competitors, evaluate policy alternatives and shepherd tax reform through the legislative process. This implies that highly professional legislatures should be more responsive to the policies of nearby states. We consider data on most American states over the period from 1986 to 2013 and find strong evidence of conditional spatial dependence . Our findings suggest that policy diffusion may often be moderated by institutional and political factors

Business · Capital (architecture · Competition (biology · Competitor analysis · Distribution (mathematics · Economics · Legislature · Political science · Politics · Public economics · State (computer science · State income tax · Tax competition · Tax policy · Tax reform · Corporate Taxation and Avoidance · Fiscal Policy and Economic Growth · Law · Local Government Finance and Decentralization

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Unique citing works3
Citations per year1
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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