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  5. Mostly Harmless? A Subnational Analysis of the Aid-Conflict Nexus
 
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Mostly Harmless? A Subnational Analysis of the Aid-Conflict Nexus

Author(s)
Weezel, Stijn van  
Uri
http://hdl.handle.net/10197/9102
Date Issued
2017-12
Date Available
2017-12-12T17:50:41Z
Abstract
Although most aid projects are aimed at local development, most research on the aid-conflict nexus is based on the country-year as unit of analysis. In contrast, this study examines the link between aid commitments and conflict intensity at the local level for three African countries between 1999-2008, using data from a unique dataset containing information on local aid allocations. The data shows that in general the spatial interdependence between aid and conflict is low, as aid is allocated relatively close to the capital and conflicts tend to occur in the peripheral areas. Fitting a Bayesian linear regression model the empirical analysis finds that there is no strong correlation between changes in lagged aid commitments and changes in conflict intensity. Looking at the extensive margin the results do show that fungible aid is correlated with increased conflict risk, in line with rent-seeking behaviour, but the estimated magnitude of the coefficient is very small. The results are stronger at the district level compared to the province level, suggesting that the possible link between aid and conflict is highly localised.
Type of Material
Working Paper
Publisher
University College Dublin. School of Economics
Start Page
1
End Page
29
Series
UCD Centre for Economic Research Working Paper Series
2017/28
Copyright (Published Version)
2017 the Author
Subjects

Foreign aid

Armed conflict

Africa

Classification
C11
D74
F35
O55
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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WP17_28.pdf

Size

1.43 MB

Format

Adobe PDF

Checksum (MD5)

c396329b5e7980a271747e0d4855049a

Owning collection
Economics Working Papers & Policy Papers

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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