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Natural resource curse in oil exporting countries: A nonlinear approach

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  • Damette, Olivier
  • Seghir, Majda

Abstract

This paper aims at extending the concept of conditional natural resource curse and examining the quantity as well as the quality of public spending as the main drivers of the oil curse in oil exporting countries. Using nonlinear threshold models, there is evidence in favor of non-linear relationship between oil incomes and economic performances. We show that highly oil dependent countries are more likely to experience inefficiencies in government decision and, by extension, oil revenues misallocation leading to underdevelopment. Relying on human capital as the mirror of the quantity as well as the quality of government spending in education, we find a similar pattern. The alteration in government efficiency is the main mechanism through which oil incomes lead to poor economic performances. Indeed, the direct contribution of oil incomes to total output is rather positive, even if the magnitude of this effect is likely to decrease with the relative level of oil dependence. The estimates indicate that the non-linear model is the better for explaining economic growth divergences across oil exporting countries as well as for reconciling the conflicting results from the empirical literature of the oil curse.

Suggested Citation

  • Damette, Olivier & Seghir, Majda, 2018. "Natural resource curse in oil exporting countries: A nonlinear approach," International Economics, Elsevier, vol. 156(C), pages 231-246.
  • Handle: RePEc:eee:inteco:v:156:y:2018:i:c:p:231-246
    DOI: 10.1016/j.inteco.2018.04.001
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    1. Savranlar, Buket & Atay Polat, Melike & Aslan, Alper, 2023. "What are the mistakes we think are correct about the ‘Natural resource curse’ hypothesis? New insights from quantile regressions via method of moments for EU," Resources Policy, Elsevier, vol. 85(PA).
    2. Maryam Barzegar Marvasti & Somayeh Razzaghi, 2020. "Investigating the Determinants of Financial Development in OPEC Countries: An Application of Bayesian Model Averaging Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 342-352.
    3. Chandan Sharma & Ritesh Kumar Mishra, 2022. "On the Good and Bad of Natural Resource, Corruption, and Economic Growth Nexus," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 889-922, August.
    4. Gao, Pengfei & Li, Zhiyi & Shi, Rubiao, 2024. "Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data," Resources Policy, Elsevier, vol. 92(C).
    5. Simplice A. Asongu & Samba Diop & Ekene ThankGod Emeka & Amarachi O. Ogbonna, 2024. "The role of governance and infrastructure in moderating the effect of resource rents on economic growth," Journal of Africa SEER Centre(ASC) 24/013, Africa SEER Centre(ASC).
    6. Zhang, Hongli & Shen, Lei & Zhong, Shuai & Elshkaki, Ayman, 2020. "Coal resource and industrial structure nexus in energy-rich area: The case of the contiguous area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Resources Policy, Elsevier, vol. 66(C).
    7. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Does oil price really matter for the wage arrears in Russia?," Energy, Elsevier, vol. 208(C).
    8. Tarek Ghazouani & Samir Maktouf, 2024. "Impact of natural resources, trade openness, and economic growth on CO2 emissions in oil‐exporting countries: A panel autoregressive distributed lag analysis," Natural Resources Forum, Blackwell Publishing, vol. 48(1), pages 211-231, February.
    9. Ramez Abubakr Badeeb & Jeremy Clark & Abey P. Philip, 2021. "The Nonlinear Effects of Oil Rent Dependence on Malaysian Manufacturing: Implications from Structural Change using a Markov-Regime Switching Model," Working Papers in Economics 21/11, University of Canterbury, Department of Economics and Finance.
    10. Sharma, Chandan & Paramati, Sudharshan Reddy, 2022. "Resource curse versus resource blessing: New evidence from resource capital data," Energy Economics, Elsevier, vol. 115(C).
    11. Belaid, Fateh & Dagher, Leila & Filis, George, 2021. "Revisiting the resource curse in the MENA region," Resources Policy, Elsevier, vol. 73(C).
    12. Oluwatosin Adeniyi & Terver Theophilus Kumeka & Oladimeji Alagbada, 2022. "Natural Resource Dependence and Tax Effort in Sub-Saharan Africa," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(1), pages 29-64.
    13. Boniface Ngah Epo & Dief Reagen Nochi Faha, 2020. "Natural Resources, Institutional Quality, and Economic Growth: an African Tale," Post-Print halshs-02157588, HAL.
    14. Badeeb, Ramez Abubakr & Szulczyk, Kenneth R. & Zahra, Samia & Mukherjee, Tanusree Chakravarty, 2023. "Innovation dynamics in the natural resource curse hypothesis: A new perspective from BRICS countries," Resources Policy, Elsevier, vol. 81(C).
    15. Bildirici, Melike E. & Gokmenoglu, Seyit M., 2020. "Precious metal abundance and economic growth: Evidence from top precious metal producer countries," Resources Policy, Elsevier, vol. 65(C).
    16. Mahieddine Adnan Ghecham, 2020. "Further attempt to explain the oil curse mechanism using a debt overhang concept," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(4), pages 852-868, October.
    17. Ganhane, José Jeremias & Stage, Jesper, 2024. "Estimating resource rents for Mozambique," Resources Policy, Elsevier, vol. 94(C).
    18. Boniface Ngah Epo & Dief Reagen Nochi Faha, 2020. "Natural Resources, Institutional Quality, and Economic Growth: an African Tale," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(1), pages 99-128, January.
    19. Chandan Sharma & Debdatta Pal, 2021. "Revisiting resource curse puzzle: new evidence from heterogeneous panel analysis," Applied Economics, Taylor & Francis Journals, vol. 53(8), pages 897-912, February.
    20. Nasiru Inuwa & Sagir Adamu & Mohammed Bello Sani & Haruna Usman Modibbo, 2022. "Natural resource and economic growth nexus in Nigeria: a disaggregated approach," Letters in Spatial and Resource Sciences, Springer, vol. 15(1), pages 17-37, April.

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    Keywords

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education

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