“…In pursuit of inferential leverage, a growing number of studies exploit spatio-temporal variation in treatment exposure to estimate the causal effects of Chinese grant- and loan-financed projects on social, economic, governance, and environmental outcomes at subnational scales. With earlier versions of the GCDF dataset that include substantially fewer projects with precise geocodes and commencement and completion dates, these studies seek to measure the localized effects of China’s overseas development projects on employment 24 , firm sales growth 25 , agricultural productivity 26 , 27 , household welfare 4 , economic growth and development 2 , 5 , 6 , 8 , nutrition 28 , infant mortality, 29 , environmental degradation 18 , 30 , political capture 15 , 31 , corruption 13 , 32 , acceptance of authoritarian norms 33 , acceptance of gender equality norms 34 , ethnic identification 35 , labor union participation 14 , satisfaction with public services 10 , popular support for China 10 , 36 – 39 , popular support for host governments 10 , 40 , tax morale and compliance 41 , 42 , media sentiment 43 , civic engagement 44 , public protest 17 , social stability 33 , and violent conflict 33 .…”