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Harnessing Resource Wealth for Inclusive Growth in Fragile States

Author

Listed:
  • Corinne C Delechat
  • John W Clark JR
  • Pranav Gupta
  • Malangu Kabedi-Mbuyi
  • Mesmin Koulet-Vickot
  • Carla Macario
  • Toomas Orav
  • Manuel Rosales Torres
  • Rene Tapsoba
  • Dmitry Zhdankin
  • Susan S. Yang

Abstract

Like other fragile sub-Saharan African countries, Côte d’Ivoire, Guinea, Liberia, and Sierra Leone are seeking to harness their natural resource potential in the context of ambitious development strategies. This study investigates options for scaling up public investment and expanding social safety nets in a general equilibrium setting. First, it assesses the macro-fiscal implications of alternative fiscal rules for public investment, and, second, it explicitly accounts for redistribution through direct cash transfers. Results show that a sustainable non-resource deficit target is robust to the high uncertainty of resources output and prices, while delivering growth benefits through higher public investment. The scaling-up magnitudes, however, depend on the size of projected resource revenue and absorptive capacity. Adding a social transfer raises private consumption, suggesting that a fraction of the resource revenue could be used to expand safety nets.

Suggested Citation

  • Corinne C Delechat & John W Clark JR & Pranav Gupta & Malangu Kabedi-Mbuyi & Mesmin Koulet-Vickot & Carla Macario & Toomas Orav & Manuel Rosales Torres & Rene Tapsoba & Dmitry Zhdankin & Susan S. Yang, 2015. "Harnessing Resource Wealth for Inclusive Growth in Fragile States," IMF Working Papers 15/25, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:15/25
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    References listed on IDEAS

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    1. Frederick van der Ploeg & Anthony J. Venables, 2011. "Harnessing Windfall Revenues: Optimal Policies for Resource‐Rich Developing Economies," Economic Journal, Royal Economic Society, vol. 121(551), pages 1-30, March.
    2. Gentilini, Ugo & Omamo, Steven Were, 2011. "Social protection 2.0: Exploring issues, evidence and debates in a globalizing world," Food Policy, Elsevier, vol. 36(3), pages 329-340, June.
    3. Frederick van der Ploeg, 2011. "Natural Resources: Curse or Blessing?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 366-420, June.
    4. Andrew Berg & Rafael A Portillo & Edward F Buffie & Catherine A Pattillo & Luis-Felipe Zanna, 2012. "Public Investment, Growth, and Debt Sustainability; Putting together the Pieces," IMF Working Papers 12/144, International Monetary Fund.
    5. World Bank, 2013. "Sierra Leone : Social Protection Assessment," World Bank Other Operational Studies 16755, The World Bank.
    6. F. ARESTOFF & Christophe HURLIN, 2008. "Estimates of Government Net Capital Stocks for 26 Developing Countries," LEO Working Papers / DR LEO 562, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    7. Ton S van den Bremer & Frederick van der Ploeg, 2013. "Managing and Harnessing Volatile Oil Windfalls," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(1), pages 130-167, April.
    8. Gros, Daniel & Mayer, Thomas, 2012. "A Sovereign Wealth Fund to Lift Germany’s Curse of Excess Savings," CEPS Papers 7229, Centre for European Policy Studies.
    9. Marcos Poplawski Ribeiro & Mauricio Villafuerte & Thomas Baunsgaard & Christine J. Richmond, 2012. "Fiscal Frameworks for Resource Rich Developing Countries," IMF Staff Discussion Notes 12/04, International Monetary Fund.
    10. Sanjeev Gupta & Alex Segura-Ubiergo & Enrique Flores, 2014. "Direct Distribution of Resource Revenues; Worth Considering?," IMF Staff Discussion Notes 14/5, International Monetary Fund.
    11. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
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    Cited by:

    1. Melina, Giovanni & Yang, Shu-Chun S. & Zanna, Luis-Felipe, 2016. "Debt sustainability, public investment, and natural resources in developing countries: The DIGNAR model," Economic Modelling, Elsevier, vol. 52(PB), pages 630-649.

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