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Corruption, Natural Capital and Economic Development: A Dynamic GMM Analysis

Joshua Ping Ang & Jason Patalinghug

Review of Economic Analysis2025https://doi.org/10.15353/rea.v17i1.5608article
AJG 1ABDC B
Weight
0.50

What the paper says

Using a dynamic panel dataset of 150 countries for the period of 2006-2018 and a two-step system GMM estimation model, this paper shows that natural resources have a positive effect on economic development while holding corruption constant. Our findings support the notion that natural resources have a positive effect on the economy of a nation. When a country has less corruption, it improves the appropriation of economic gains from natural resources which serves as natural capital that would drive further capital accumulation and further development. We also find that physical capital, human capital, and freedom from corruption show strong positive effects on economic development, controlling for other economic and institutional variables.

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https://doi.org/https://doi.org/10.15353/rea.v17i1.5608

Or copy a formatted citation

@article{joshua2025,
  title        = {{Corruption, Natural Capital and Economic Development: A Dynamic GMM Analysis}},
  author       = {Joshua Ping Ang & Jason Patalinghug},
  journal      = {Review of Economic Analysis},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.15353/rea.v17i1.5608},
}

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Corruption, Natural Capital and Economic Development: A Dynamic GMM Analysis

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.