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Cited by 594

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Oil, Nontax Revenue, and the Redistributional Foundations of Regime Stability

Open access
Morrison, Kevin M.·2009·International Organization

Abstract

Nontax revenues make up a substantial amount of government revenue around the world, though scholars usually focus on individual sources of such revenue (for example, foreign aid and state-owned oil companies). Using a theory of regime change that builds on recent models of the redistributional foundations of dictatorships and democracies, I generate hypotheses regarding all nontax revenue and regime stability. I argue that an increase in nontax revenue should be associated with less taxation of elites in democracies, more social spending in dictatorships, and more stability for both regime types. I find support for all three of these hypotheses in a cross-sectional time-series analysis, covering all countries and years for which the necessary data are available. Significantly, I show that the particular source of nontax revenue does not make a difference: they all act similarly with regard to regime stability and the causal mechanisms.

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Metadata

Authors
Morrison, K. M.
Venue
International Organization
Published
2009-01
Volume
63
Issue
1
Pages
107-138
ISSN
  • 0020-8183 (ISSN-L)
  • 1531-5088
OpenAlex
W2132482742
Cited by
594
References
121
FWCI
76.44
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Oil, Nontax Revenue, and the Redistributional Foundations of Regime Stability. https://app.cochat.ai/papers/10.1017/s0020818309090043
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Morrison, K. M. (2009). Oil, Nontax Revenue, and the Redistributional Foundations of Regime Stability. International Organization. https://doi.org/10.1017/s0020818309090043

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.