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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.

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  • 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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    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. 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.
    9. Sharma, Chandan & Paramati, Sudharshan Reddy, 2022. "Resource curse versus resource blessing: New evidence from resource capital data," Energy Economics, Elsevier, vol. 115(C).
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    15. 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.
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    19. 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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    More about this item

    Keywords

    C33; Q32; H52;
    All these keywords.

    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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