Abstract
Academic literature has dedicated limited attention to the subnational allocation of development finance. The limited literature has highlighted the role of donor interests and regime type in foreign finance allocation. In this paper, I examine both factors using geocoded data on China and the World Bank’s grant and loan flow to 48 African countries from 2000 to 2012. In contrast to most of the existing empirical research, I found that the more democratic a regime is, the more likely co-ethnic regions of the incumbent leader are to receive development finance. I then focus on case studies of
elections in a hybrid regime, Zambia, and an autocratic regime, Ethiopia. The core argument is that domestic politics play a bigger role than donors’ conditionality in the subnational distribution of development finance. The widespread competitive clientelism in many African countries puts more political survival pressure on democratic leaders to target their co-ethnic regions, while autocratic leaders only need to secure the support of a small circle of elites. This research has broader implications for understanding how
political competition feeds clientelism in weak institutions.
elections in a hybrid regime, Zambia, and an autocratic regime, Ethiopia. The core argument is that domestic politics play a bigger role than donors’ conditionality in the subnational distribution of development finance. The widespread competitive clientelism in many African countries puts more political survival pressure on democratic leaders to target their co-ethnic regions, while autocratic leaders only need to secure the support of a small circle of elites. This research has broader implications for understanding how
political competition feeds clientelism in weak institutions.
| Original language | English |
|---|---|
| Place of Publication | Washington DC |
| Publisher | Johns Hopkins University Press |
| Pages | 1-29 |
| Number of pages | 29 |
| Volume | 2021 |
| Publication status | Published - Apr 2021 |
Publication series
| Name | China Africa Research Initiative Working Paper |
|---|
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