We investigate whether the political leaders of aid-receiving countries use foreign aid inflows to further their own political or personal interests. Aid allocation biased by leaders selfish interests arguably reduces the effectiveness of aid, negatively affecting development outcomes. We...

This article investigates whether China’s foreign aid is particularly prone to political capture by political leaders of aid-receiving countries. Specifically, we examine whether more Chinese aid is allocated to the political leaders’ birth regions and regions populated by the ethnic group...

In this paper we update previous work that categorizes foreign aid projects in terms of their likely impact on the natural environment. We then document trends in the global distribution of environmental aid over time and show that environmental aid has increasingly focussed on global...

Chinese aid comes with few strings attached, allowing recipient country leaders to use it for domestic political purposes. The vulnerability of Chinese aid to political capture has prompted speculation that it may be economically ineffective, or even harmful. We test these claims by estimating...

This paper studies the causal effect of transport infrastructure on the spatial concentration of economic activity. Leveraging a new global dataset of geo-located Chinese government-financed projects over the period from 2000 to 2014 together with measures of spatial inequality based on...

Bilateral donors use foreign aid to pursue soft power. We test the effectiveness of aid in reaching this goal by leveraging a new dataset on the precise commitment, implementation, and completion dates of Chinese development projects. We use data from the Gallup World Poll for 126 countries over...

China’s provision of development finance to other countries is sizable but reliable information is scarce. We introduce a new open source methodology for collecting project-level development finance information and create a database of Chinese official finance to Africa from 2000 - 2011. We...