Precise geospatial features extracted from OpenStreetMaps (OSM) are available for AidData's Global Chinese Development Finance Dataset, Version 2.0. Projects for which OSM features are available have links to them included in the main dataset (click the download button above); or, you can download geoJSONs of project boundaries from this GitHub repository.
Download from GitHub:
This uniquely granular dataset captures 13,427 development projects worth $843 billion financed by more than 300 Chinese government institutions and state-owned entities across 165 countries in every major region of the world from 2000-2017.
For academic purposes:
Custer, S., Dreher, A., Elston, T.B., Fuchs, A., Ghose, S., Lin, J., Malik, A., Parks, B.C., Russell, B., Solomon, K., Strange, A., Tierney, M.J., Walsh, K., Zaleski, L., and Zhang, S. 2021. Tracking Chinese Development Finance: An Application of AidData’s TUFF 2.0 Methodology. Williamsburg, VA: AidData at William & Mary.
Dreher, A., Fuchs, A., Parks, B. C., Strange, A., & Tierney, M.J. 2022. Banking on Beijing: The Aims and Impacts of China’s Overseas Development Program. Cambridge, UK: Cambridge University Press.
Please note: Both works count as the official citation for this dataset.
For other (non-academic) purposes:
AidData. 2021. AidData's Global Chinese Development Finance Dataset, Version 2.0. Retrieved from https://www.aiddata.org/data/aiddatas-global-chinese-development-finance-dataset-version-2-0