Concepedia

TLDR

The study investigates whether Chinese aid projects increase local corruption in Africa. By geo‑matching a dataset of Chinese development finance projects (2000–2012) with Afrobarometer survey respondents across 29 countries, the authors compare individuals near active projects to those near future projects to control for time‑invariant factors. The analysis finds that active Chinese projects are linked to higher local corruption, not to economic activity, and that unlike World Bank aid, which stimulates local economic activity without raising corruption.

Abstract

Considering the mounting criticisms concerning Chinese aid practices, the present paper investigates whether Chinese aid projects fuel local-level corruption in Africa. To this end, we geographically match a new geo-referenced dataset on the subnational allocation of Chinese development finance projects to Africa over the 2000–2012 period with 98,449 respondents from four Afrobarometer survey waves across 29 African countries. By comparing the corruption experiences of individuals who live near a site where a Chinese project is being implemented at the time of the interview to those of individuals living close to a site where a Chinese project will be initiated but where implementation had not yet started at the time of the interview, we control for unobservable time-invariant characteristics that may influence the selection of project sites. The empirical results consistently indicate more widespread local corruption around active Chinese project sites. The effect is seemingly not driven by an increase in economic activity, but rather seems to signify that the Chinese presence impacts norms. Moreover, Chinese aid stands out from World Bank aid in this respect. In particular, whereas the results indicate that Chinese aid projects fuel local corruption but have no observable impact on short term local economic activity, they suggest that World Bank aid projects stimulate local economic activity without any consistent evidence of it fuelling local corruption.

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