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Impact of health aid in developing countries: The public vs. the private channels

Author

Listed:
  • Muhammad Asim Afridi
  • Bruno Ventelou

    (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD - Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale - IRD - Institut de Recherche pour le Développement - AMU - Aix Marseille Université - INSERM - Institut National de la Santé et de la Recherche Médicale, GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper examines the efficient allocation of international health aid. We built a simple macroeconomic model which considers an endogenous allocation of aid mixed between the public and the private channels. We derive a non-cooperative interaction-game involving the private sector, the donor and the recipient government. We compare the equilibrium of the game to the optimal level of health aid allocation, showing a gap between both. The empirical analysis is based on the Institute for Health Metrics and Evaluation (IHME) and World Health Organization (WHO) data sets using dynamic panel data model with fixed effects (system-GMM). Our results show that health aid actually reduces adult mortality in developing countries. Furthermore, we show that the actual allocation of aid-mix between government and private channels is not health efficient and there is room for reallocation.

Suggested Citation

  • Muhammad Asim Afridi & Bruno Ventelou, 2013. "Impact of health aid in developing countries: The public vs. the private channels," Post-Print hal-01498263, HAL.
    • Handle: RePEc:hal:journl:hal-01498263
    DOI: 10.1016/j.econmod.2013.01.009
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    Cited by:

    1. Ryota Nakamura & James Lomas & Karl Claxton & Farasat Bokhari & Rodrigo Moreno-Serra & Marc Suhrcke & Peter Berman, 2020. "Assessing the Impact of Health Care Expenditures on Mortality Using Cross-Country Data," World Scientific Book Chapters, in: Paul Revill & Marc Suhrcke & Rodrigo Moreno-Serra & Mark Sculpher (ed.), Global Health Economics Shaping Health Policy in Low- and Middle-Income Countries, chapter 1, pages 3-49, World Scientific Publishing Co. Pte. Ltd..
    2. Iyabo Adeola Olanrele & Segun Subair Awode, 2020. "Development Aid and Human Capital Development in Nigeria: A Sector Level-Analysis," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 7(1), pages 25-35.
    3. Gabani, Jacopo & Suhrcke, Marc & Neelsen, Sven & Eozenou, Patrick Hoang-Vu & Smitz, Marc-Francois, 2024. "Does health aid matter to financial risk protection? A regression analysis across 159 household surveys, 2000–2016," Social Science & Medicine, Elsevier, vol. 356(C).
    4. Xu, Zhicheng Phil & Zhang, Yu, 2020. "Can Chinese aid win the hearts and minds of Africa’s local population?," Economic Modelling, Elsevier, vol. 90(C), pages 322-330.
    5. Maruta, Admasu Asfaw & Banerjee, Rajabrata & Cavoli, Tony, 2020. "Foreign aid, institutional quality and economic growth: Evidence from the developing world," Economic Modelling, Elsevier, vol. 89(C), pages 444-463.
    6. Maame Esi Woode & Duncan Mortimer & Rohan Sweeney, 2021. "The impact of health sector‐wide approaches on aid effectiveness and infant mortality," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(5), pages 826-844, July.

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