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The Structure and Dynamics of International Development Assistance

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  • Coscia, Michele
  • Hausmann, Ricardo
  • Hidalgo, César A.

Abstract

We study the structure of international aid coordination by creating and analyzing a tripartite network of donor organizations, recipient countries and development issues using web-based information. We develop a measure of coordination and find that it is moderate, achieving about 60% of its theoretical maximum. Many countries are strongly connected to organizations that are related to the issues that are salient there. Nevertheless, we identify many countries that are poorly served, issues that are inadequately attended to, and organizations that focus on the wrong combination of places and issues. Our approach may be used to improve decentralized coordination.

Suggested Citation

  • Coscia, Michele & Hausmann, Ricardo & Hidalgo, César A., 2013. "The Structure and Dynamics of International Development Assistance," Scholarly Articles 10649346, Harvard Kennedy School of Government.
    • Handle: RePEc:hrv:hksfac:10649346
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    References listed on IDEAS

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    1. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    2. Kornai, Janos, 1992. "The Postsocialist Transition and the State: Reflections in the Light of Hungarian Fiscal Problems," American Economic Review, American Economic Association, vol. 82(2), pages 1-21, May.
    3. Oecd, 2004. "DAC Reflection on Reconstruction in Iraq," OECD Journal on Development, OECD Publishing, vol. 4(4), pages 7-42.
    4. William Easterly, 2007. "Was Development Assistance a Mistake?," American Economic Review, American Economic Association, vol. 97(2), pages 328-332, May.
    5. Ocde, 2004. "Réflexion du CAD sur la reconstruction en Irak," Revue de l'OCDE sur le développement, Éditions OCDE, vol. 4(4), pages 7-49.
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    Cited by:

    1. Matias Nehuen Iglesias, 2021. "The Overlooked Insights from Correlation Structures in Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 2105, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2021.
    2. Chen, Xue & Jiao, Pengfei & Yu, Yandong & Li, Xiaoming & Tang, Minghu, 2019. "Toward link predictability of bipartite networks based on structural enhancement and structural perturbation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C), pages 1-1.

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