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Aid dispersion: Measurement in principle and practice

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  • Fløgstad, Cathrin

    (Department of Economics, University of Bergen)

  • Hagen, Rune Jansen

    (Department of Economics, University of Bergen)

Abstract

Excessive dispersion of development assistance has been high on the Paris Agenda on aid effectiveness. However, there is no agreement in the existing literature on how aid dispersion should be measured and few studies of the extent of the problem. We argue for using the Theil Index for both recipients and donors. This relative inequality measure has a major advantage: it allows for a perfect decomposition into variation between and within entities. Exploiting this property, we can rank official donors and recipients not only in terms of the total spread, but also assess the contributions of geographic and sectoral dispersion. We provide a detailed picture of developments along various dimensions (globally as well as for countries, income groups, and regions, over 1998-2013). We further distinguish between bilateral and multilateral donors. Consistent with other studies using more limited samples, we find little effect of the Paris Agenda overall. Aid is more fragmented in Sub-Saharan Africa and in the poorest countries. Globally as well as for most donor and recipient countries, between variation is the main driver of the spread, lending support to the geographic concentration policies many donor countries have adopted. Bilateral aid has been somewhat more dispersed than multilateral aid and in both cases the large number of donors controlling similar shares of total funds is a major driver of the total spread. The latter suggests that concentration could also be achieved through a reduction of the number of actors on the donor side of the aid industry, a perspective that previous studies using other measures have been unable to capture.

Suggested Citation

  • Fløgstad, Cathrin & Hagen, Rune Jansen, 2017. "Aid dispersion: Measurement in principle and practice," Working Papers in Economics 03/17, University of Bergen, Department of Economics.
  • Handle: RePEc:hhs:bergec:2017_003
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    References listed on IDEAS

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    Cited by:

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    3. Andrew W. Horowitz & Raja Kali & Hongwei Song, 2021. "Rethinking the aid–growth relationship: A network approach," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 359-380, February.
    4. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    5. Gehring, Kai & Michaelowa, Katharina & Dreher, Axel & Spörri, Franziska, 2017. "Aid Fragmentation and Effectiveness: What Do We Really Know?," World Development, Elsevier, vol. 99(C), pages 320-334.
    6. Quinn Marshall & Alexandra L. Bellows & Rebecca McLaren & Andrew D. Jones & Jessica Fanzo, 2021. "You Say You Want a Data Revolution? Taking on Food Systems Accountability," Agriculture, MDPI, vol. 11(5), pages 1-16, May.
    7. Malte Toetzke & Nicolas Banholzer & Stefan Feuerriegel, 2022. "Monitoring global development aid with machine learning," Nature Sustainability, Nature, vol. 5(6), pages 533-541, June.

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    More about this item

    Keywords

    Foreign aid; aid dispersion; transaction COSTs; Paris Agenda; Theil Index;
    All these keywords.

    JEL classification:

    • F35 - International Economics - - International Finance - - - Foreign Aid
    • H87 - Public Economics - - Miscellaneous Issues - - - International Fiscal Issues; International Public Goods

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