IMF Working Papers

Has Chinese Aid Benefited Recipient Countries? Evidence from a Meta-Regression Analysis

By Pierre Mandon, Martha Tesfaye Woldemichael

February 25, 2022

Download PDF

Preview Citation

Format: Chicago

Pierre Mandon, and Martha Tesfaye Woldemichael. Has Chinese Aid Benefited Recipient Countries? Evidence from a Meta-Regression Analysis, (USA: International Monetary Fund, 2022) accessed November 23, 2024

Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

This paper employs a meta-regression analysis of 473 estimates from 15 studies to take stock of the empirical literature on Chinese aid effectiveness. After accommodating publication selection bias, we find that, on average, Beijing’s foreign assistance has had a positive impact on economic and social outcomes in recipient countries but an opposite effect on governance, albeit negligible in size. We also show that (i) studies that fail to uncover statistically significant effects are less likely to be submitted to journals, or accepted for publication; and (ii) results are not driven by authors’ institutional affiliation. Differences in study characteristics such as the type of development outcome considered, how the Chinese aid variable is measured, the geographic region under study, and publication outlet explain the heterogeneity among Chinese aid effectiveness estimates reported in the literature.

Subject: Development assistance, Foreign aid, Infrastructure, National accounts

Keywords: Africa, Aid variable, Caribbean, China, Development assistance, Evidence from a Meta-regression analysis, Foreign aid, Global, Infrastructure, Meta-regression analysis, Publication selection bias, Recipient country

Publication Details

  • Pages:

    39

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2022/046

  • Stock No:

    WPIEA2022046

  • ISBN:

    9798400200670

  • ISSN:

    1018-5941