The DOI matches its Crossref record.
Crude democracy: natural resource wealth and political regimes
Abstract
This book challenges the conventional wisdom that natural resource wealth promotes autocracy. Oil and other forms of mineral wealth can promote both authoritarianism and democracy, the book argues, but they do so through different mechanisms; an understanding of these different mechanisms can help elucidate when either the authoritarian or democratic effects of resource wealth will be relatively strong. Exploiting game-theoretic tools and statistical modeling as well as detailed country case studies and drawing on fieldwork in Latin America and Africa, this book builds and tests a theory that explains political variation across resource-rich states. It will be read by scholars studying the political effects of natural resource wealth in many regions, as well as by those interested in the emergence and persistence of democratic regimes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
What Have We Learned about the Resource Curse?
Ross, M. L. (2015) · Annual Review of Political Science · doi:10.1146/annurev-polisci-052213-040359 · Cited by 1,146
Do natural resources fuel authoritarianism? A reappraisal of the resource curse
HABER, S., & MENALDO, V. (2011) · American Political Science Review · doi:10.1017/s0003055410000584 · Cited by 1,128
The Natural Resource Curse: A Survey
Frankel, J. (2010) · doi:10.3386/w15836 · Cited by 655
Carbon Democracy: Political Power in the Age of Oil
(2017) · The SHAFR Guide Online · doi:10.1163/2468-1733_shafr_sim280020537 · Cited by 649
Oil, Nontax Revenue, and the Redistributional Foundations of Regime Stability
Morrison, K. M. (2009) · International Organization · doi:10.1017/s0020818309090043 · Cited by 594
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2009-08-01
- Volume
- 46
- Issue
- 12
- Pages
- 46-7042-46-7042
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W566159822
- Cited by
- 518
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Crude democracy: natural resource wealth and political regimes. https://app.cochat.ai/papers/10.5860/choice.46-7042
- The paper
- Crude democracy: natural resource wealth and political regimes. (2009). Choice Reviews Online. https://doi.org/10.5860/choice.46-7042
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.