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The Resource Curse Hypothesis: Dynamic Heterogeneous Approach

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  • Dong-Hyeon Kim
  • Shu-Chin Lin

Abstract

Natural resources influence economic performance through many different mechanisms, both beneficial and harmful. Some of these mechanisms tend to set in fast while others are rather slow. This suggests that pooling the long- and short-run effect as typical in the resource empirical literature may lead to incorrect inferences. This article provides an evaluation of the income contribution of natural resources using a panel cointegration approach that allows for short-run dynamic heterogeneity while imposing the restriction of long-run homogeneity. It finds, in a sample of developing countries over the period 1990–2012, that natural resources are a curse in the long run. The evidence is robust to alternative dynamic specifications, different measures and types of natural resource wealth, and controlling for regional effects.

Suggested Citation

  • Dong-Hyeon Kim & Shu-Chin Lin, 2018. "The Resource Curse Hypothesis: Dynamic Heterogeneous Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(12), pages 2698-2717, September.
    • Handle: RePEc:mes:emfitr:v:54:y:2018:i:12:p:2698-2717
    DOI: 10.1080/1540496X.2017.1372281
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    Citations

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    Cited by:

    1. Sinha, Avik & Sengupta, Tuhin, 2019. "Impact of natural resource rents on human development: What is the role of globalization in Asia Pacific countries?," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    2. Liu Sicen & Anwar Khan & Allauddin Kakar, 2022. "The Role of Disaggregated Level Natural Resources Rents in Economic Growth and Environmental Degradation of BRICS Economies," Biophysical Economics and Resource Quality, Springer, vol. 7(3), pages 1-14, September.
    3. Maddah, Majid & Ghaffari Nejad, Amir Hossein & Sargolzaei, Mostafa, 2022. "Natural resources, political competition, and economic growth: An empirical evidence from dynamic panel threshold kink analysis in Iranian provinces," Resources Policy, Elsevier, vol. 78(C).
    4. Skare, Marinko & Gavurova, Beata & Polishchuk, Volodymyr, 2023. "Fuzzy multicriteria evaluation model of cross-border cooperation projects under resource curse conditions," Resources Policy, Elsevier, vol. 85(PB).
    5. Sweidan, Osama D. & Elbargathi, Khadiga, 2022. "The effect of oil rent on economic development in Saudi Arabia: Comparing the role of globalization and the international geopolitical risk," Resources Policy, Elsevier, vol. 75(C).
    6. Alssadek, Marwan & Benhin, James, 2023. "Natural resource curse: A literature survey and comparative assessment of regional groupings of oil-rich countries," Resources Policy, Elsevier, vol. 84(C).
    7. Destek, Mehmet Akif & Aydın, Sercan & Destek, Gamze, 2022. "Investigating an optimal resource dependency to prevent natural resource curse: Evidence from countries with the curse risk," Resources Policy, Elsevier, vol. 79(C).
    8. Sweidan, Osama D. & Elbargathi, Khadiga, 2023. "Economic diversification in Saudi Arabia: Comparing the impact of oil prices, geopolitical risk, and government expenditures," International Economics, Elsevier, vol. 175(C), pages 13-24.
    9. Rashid Khan, Haroon Ur & Zaman, Khalid & Usman, Bushra & Nassani, Abdelmohsen A. & Aldakhil, Abdullah Mohammed & Qazi Abro, Muhammad Moinuddin, 2019. "Financial management of natural resource market: Long-run and inter-temporal (forecast) relationship," Resources Policy, Elsevier, vol. 63(C), pages 1-1.

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