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Cited by 2,283

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Natural Resources: Curse or Blessing?

Open access
Ploeg, Frederick van der·2011·Journal of Economic Literature

Abstract

Are natural resources a “curse” or a “blessing”? The empirical evidence suggests that either outcome is possible. This paper surveys a variety of hypotheses and supporting evidence for why some countries benefit and others lose from the presence of natural resources. These include that a resource bonanza induces appreciation of the real exchange rate, deindustrialization, and bad growth prospects, and that these adverse effects are more severe in volatile countries with bad institutions and lack of rule of law, corruption, presidential democracies, and underdeveloped financial systems. Another hypothesis is that a resource boom reinforces rent grabbing and civil conflict especially if institutions are bad, induces corruption especially in nondemocratic countries, and keeps in place bad policies. Finally, resource rich developing economies seem unable to successfully convert their depleting exhaustible resources into other productive assets. The survey also offers some welfare-based fiscal rules for harnessing resource windfalls in developed and developing economies. (JEL O47, Q32, Q33)

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Metadata

Authors
Ploeg, F. V. D.
Venue
Journal of Economic Literature
Published
2011-06-01
Volume
49
Issue
2
Pages
366-420
ISSN
0022-0515 (ISSN-L)
OpenAlex
W3123261979
Cited by
2,283
References
9
FWCI
274.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Natural Resources: Curse or Blessing? https://app.cochat.ai/papers/10.1257/jel.49.2.366
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Ploeg, F. V. D. (2011). Natural Resources: Curse or Blessing? Journal of Economic Literature. https://doi.org/10.1257/jel.49.2.366

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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.