Global China Data

AidData’s Global Chinese Development Finance Dataset, Version 2.0

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Summary

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.

Official Citation

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. (Forthcoming). 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

Metadata

Version

Version 2.0

(Most Current Version)

(Most Current Geocoded Version)

Methodology

Geocoded

SDG Coded

Natural Resource Concessions

TUFF

Survey Results

Specifications

File Size:

16.2 MB

Publication Date:

Sep 2021

Starting Year:

2000

Ending Year:

2017

Number of Entries:

13,427

Total Amount Tracked:

USD $843 Billion

Currency:

USD 2017

AidData’s Global Chinese Development Finance Dataset, Version 2.0. records the known universe of projects (with development, commercial, or representational intent) supported by official financial and in-kind commitments (or pledges) from China from 2000-2017, with implementation details covering a 22-year period (2000-2021). The dataset captures 13,427 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. AidData systematically collected and quality-assured all projects in the dataset using the 2.0 version of our Tracking Underreported Financial Flows (TUFF) methodology.

Funding: This dataset was made possible through a cooperative agreement (AID-OAA-A-12-00096) between USAID's Global Development Lab and AidData at William and Mary under the Higher Education Solutions Network (HESN) Program. We also gratefully acknowledge financial support from the William and Flora Hewlett Foundation, the Ford Foundation, and the Smith Richardson Foundation. We also acknowledge that previous versions of the dataset would not have been possible without generous financial support from the John D. and Catherine T. MacArthur Foundation, Humanity United, United Nations University-WIDER, the Academic Research Fund of Singapore’s Ministry of Education, and the German Research Foundation.

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