Aid Fragmentation and Effectiveness: What Do We Really Know?

Published: 17 Jun 2019 | Version 1 | DOI: 10.17632/2fdmft845w.1

Description of this data

Aid Fragmentation and Effectiveness: What do we Really Know? (With Katja Michaelowa, Axel Dreher, and Franziska Spörri), World Development 99 (11/ 2017)

Aid fragmentation is widely recognized as being detrimental to development outcomes. We reinvestigate the impact of fragmentation in the context of growth, bureaucratic policy, and education, focusing on a number of conceptually different indicators of fragmentation, and paying attention to potentially heterogeneous effects across countries, sectors, and channels of influence. Our systematic and detailed reexamination of existing empirical studies shows that this differentiation is crucial. In some sectors—such as primary education—donor concentration or limiting donor numbers appear to be detrimental rather than beneficial for development outcomes. In other areas, we find the expected negative effect, but only when we conceptualize fragmentation as a lack of lead donors (too limited concentration), rather than in terms of donor numbers. In all cases, sufficient initial administrative capacity in recipient countries prevents the negative and reinforces the positive effects of fragmentation. This stresses the importance of questioning the sweeping conclusions drawn by much of the previous literature. Based on what we currently know, generalizing judgments about the effect of aid fragmentation may be misleading.

Experiment data files

Steps to reproduce

See readme in zip file.

Latest version

  • Version 1


    Published: 2019-06-17

    DOI: 10.17632/2fdmft845w.1

    Cite this dataset

    Gehring, Kai; Dreher, Axel; Michaelowa , Katharina ; Spoerri, Franziska (2019), “Aid Fragmentation and Effectiveness: What Do We Really Know?”, Mendeley Data, v1


Views: 11
Downloads: 2


Data Replication


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.