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Natural resources: Funds and economic performance of resource-rich countries

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  • Ouoba, Youmanli

Abstract

Resource funds have been widely defended in the theoretical literature as a solution to the resource curse. In this work, empirical analyses of a sample of 28 resource-rich countries over the period 1985–2010 do not support this argument. Rather, the results indicate that resource funds have a negative and significant effect on growth and that this finding is robust under alternative estimation techniques. Moreover, the results do not validate the hypothesis of the resource curse due to the positive effect of resource dependence on growth. Finally, the study provides evidence that the negative component of the curse is captured by the resource funds. The implications in terms of natural resources funds management are discussed.

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  • Ouoba, Youmanli, 2016. "Natural resources: Funds and economic performance of resource-rich countries," Resources Policy, Elsevier, vol. 50(C), pages 108-116.
    • Handle: RePEc:eee:jrpoli:v:50:y:2016:i:c:p:108-116
    DOI: 10.1016/j.resourpol.2016.09.003
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    16. Souleymane DIALLO, 2023. "Access to modern energy and poverty in regions of Burkina Faso: Evidence from a panel data analysis," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 58, pages 51-63.
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    More about this item

    Keywords

    Resource funds; Resource dependence; Resource curse; Economic growth; Panel; Q32; Q38; C23;
    All these keywords.

    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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