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Putting your money where your mouth is: Geographic targeting of World Bank projects to the bottom 40 percent.
- Source :
-
PloS one [PLoS One] 2019 Jun 21; Vol. 14 (6), pp. e0218671. Date of Electronic Publication: 2019 Jun 21 (Print Publication: 2019). - Publication Year :
- 2019
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Abstract
- The adoption of the shared prosperity goal by the World Bank in 2013 and Sustainable Development Goal 10, on inequality, by the United Nations in 2015 should strengthen the focus of development interventions and cooperation on the income growth of the bottom 40 percent of the income distribution. This paper contributes to the incipient literature on within-country allocations of development institutions and assesses the geographic targeting of World Bank projects to the bottom 40 percent. Bivariate correlations between the allocation of project funding approved over 2005-14 and the geographical distribution of the bottom 40 as measured by survey income or consumption data are complemented by regressions with population and other potential factors affecting the within-country allocations as controls. The correlation analysis shows that, of the 58 countries in the sample, 41 exhibit a positive correlation between the shares of the bottom 40 and World Bank funding, and, in almost half of these, the correlation is above 0.5. Slightly more than a quarter of the countries, mostly in Sub-Saharan Africa, exhibit a negative correlation. The regression analysis shows that, once one controls for population, the correlation between the bottom 40 and World Bank funding switches sign and becomes significant and negative on average. This is entirely driven by Sub-Saharan Africa and not observed in the other regions. Hence, the significant and positive correlation in the estimations without controlling for population suggests that World Bank project funding is concentrated in administrative areas in which more people live (including the bottom 40) rather than in poorer administrative areas. Furthermore, capital cities receive disproportionally high shares of World Bank funding on average.<br />Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: Lodewijk Smets was a staff member of the Independent Evaluation Group (IEG) of the World Bank at the time this paper was written. Renzo Massari was a consultant for the World Bank. Željko Bogetić is a staff member of the Independent Evaluation Group (IEG) of the World Bank. We confirm that these associations in no way influenced our analysis. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
- Subjects :
- Africa South of the Sahara epidemiology
Asia, Central epidemiology
Bangladesh epidemiology
Caribbean Region epidemiology
Developing Countries statistics & numerical data
Financial Support
Financing, Government economics
Financing, Government trends
Geography
Global Health standards
Global Health trends
Healthcare Financing
Humans
International Agencies economics
International Agencies organization & administration
International Agencies trends
International Cooperation
Latin America epidemiology
Nepal epidemiology
Public Policy trends
Resource Allocation economics
Resource Allocation organization & administration
Resource Allocation standards
Resource Allocation trends
Socioeconomic Factors
Sustainable Development trends
United Nations economics
United Nations organization & administration
United Nations standards
Developing Countries economics
Financing, Government organization & administration
Global Health economics
Public Policy economics
Sustainable Development economics
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 14
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 31226139
- Full Text :
- https://doi.org/10.1371/journal.pone.0218671