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Mining and petroleum boom and public spending policies in Niger: a dynamic computable general equilibrium analysis

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  • Sangare, Saadatou
  • Maisonnave, Hélène

Abstract

This study analyzes a public-spending option from mining and oil resources and its impact on Niger's economy. The windfall gain from mining and oil revenues provides an opportunity for the country to reinvest natural resource rents, enhance economic development, and address infrastructure gaps. Drawing on the country's recent and expected mining and oil exploitation, we evaluate the effects of a reinvestment policy in road infrastructure using a dynamic computable general equilibrium (CGE) model. We find that investment in road infrastructure brings positive spillover effects to other sectors of the economy and benefits to the economy in the long run. Our analysis additionally shows that reinvestment in road infrastructure, given the initial state of infrastructure in Niger, could help mitigate the resource curse.

Suggested Citation

  • Sangare, Saadatou & Maisonnave, Hélène, 2018. "Mining and petroleum boom and public spending policies in Niger: a dynamic computable general equilibrium analysis," Environment and Development Economics, Cambridge University Press, vol. 23(5), pages 580-590, October.
    • Handle: RePEc:cup:endeec:v:23:y:2018:i:05:p:580-590_00
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    Cited by:

    1. Fereira, Semertesides Bitica & Cateia, Júlio Vicente, 2023. "Trade reform, infrastructure investment, and structural transformation in Africa: Evidence from Guinea-Bissau," Emerging Markets Review, Elsevier, vol. 55(C).
    2. Tomás Fontalvo Herrera & José Morelos Gómez & Adel Mendoza Mendoza, 2019. "Evaluación de la eficiencia de las empresas del sector carbón en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 27(1), pages 43-56, February.
    3. Davaajargal Lkhagva & Zheng Wang & Changxin Liu, 2019. "Mining Booms and Sustainable Economic Growth in Mongolia—Empirical Result from Recursive Dynamic CGE Model," Economies, MDPI, vol. 7(2), pages 1-16, May.
    4. Cockburn, John & Henseler, Martin & Maisonnave, Hélène & Tiberti, Luca, 2018. "Vulnerability and policy responses in the face of natural resource discoveries and climate change: introduction," Environment and Development Economics, Cambridge University Press, vol. 23(5), pages 517-526, October.
    5. Júlio Vicente Cateia & Maurício Vaz Lobo Bittencourt & Terciane Sabadini Carvalho & Luc Savard, 2023. "Funding schemes for infrastructure investment and poverty alleviation in Africa: Evidence from Guinea‐Bissau," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1505-1529, August.
    6. Mariam Diallo & Fleur Wouterse, 2023. "Agricultural development promises more growth and less poverty in Africa: Modelling the potential impact of implementing the Comprehensive Africa Agriculture Development Programme in six countries," Development Policy Review, Overseas Development Institute, vol. 41(3), May.
    7. Sebri, Maamar & Issoufou Ahmed, Ousseini & Dachraoui, Hajer, 2023. "Public spending and the resource curse in WAEMU countries: An asymmetry analysis using the hidden cointegration and non-linear panel ARDL framework," Resources Policy, Elsevier, vol. 82(C).
    8. Júlio Vicente Cateia & Maurício Vaz Lobo Bittencourt & Terciane Sabadini Carvalho & Luc Savard, 2024. "The impacts of agricultural productivity on structural transformation, and poverty alleviation in Africa: evidence from Guinea-Bissau," Journal of Productivity Analysis, Springer, vol. 61(3), pages 305-320, June.

    More about this item

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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