AidData's Global Chinese Official Finance Dataset, 2000-2014, Version 1.0Download
Related: AidData's Global Chinese Official Finance Dataset summarized with 5 key figures in By the Numbers: China's Global Development Footprint.
AidData's Global Chinese Official Finance Dataset (Version 1.0) tracks the known universe of overseas Chinese official finance between 2000-2014, capturing 4,373 records totaling $354.4 billion. The data includes both Chinese aid and non-concessional official financing.
For academic purposes: Dreher, A., Fuchs, A., Parks, B.C., Strange, A. M., & Tierney, M. J. (2017). Aid, China, and Growth: Evidence from a New Global Development Finance Dataset. AidData Working Paper #46. Williamsburg, VA: AidData.
For other (non-academic) purposes: AidData. 2017. Global Chinese Official Finance Dataset, Version 1.0. Retrieved from http://aiddata.org/data/chinese-global-official-finance-dataset.
(Most Current Version)
(Most Current Geocoded Version)
Natural Resource Concessions
The dataset captures the known universe of officially-financed Chinese Official Finance projects in 5 regions of the world from 2000-2014 (including Africa, the Middle East, Asia and the Pacific, Latin America and the Caribbean, and Central and Eastern Europe). It includes concessional and non-concessional sources of funding from Chinese government institutions (including central, state or local government institutions) with development, commercial, or representational intent. More specifically, it captures (a) highly concessional, Chinese development projects that meet the OECD’s criteria for Official Development Assistance (ODA); and (b) officially-financed Chinese projects that lack development intent or are provided with higher interest rates and lower grant elements (i.e. projects that fall within the OECD’s criteria for “Other Official Flows”, or OOF.) Chinese ODA represents “Chinese aid” in the strictest sense of the term, but Chinese official finance (ODA and Other Official Flows) is sometimes used as a broader definition of aid. AidData’s dataset allows users to disaggregate Chinese official finance into its constituent parts and determine if they wish to use a narrow or broad definition of aid. This dataset builds off of previous work to track Chinese Official Finance in Africa (versions 1.0, 1.1, and 1.2).
TUFF is a rigorous, replicable methodology that triangulates open-source information to systematically create project-level data detailing official finance originating from opaque donors and lenders. For high-level guidelines on the TUFF methodology, please see the TUFF Methodology document. For specific, step-by-step instructions used by AidData researchers to arbitrate project records, please see the TUFF Coder Instructions document.
Aid, China, and Growth: Evidence from a New Global Development Finance Dataset
A new dataset of official financing from China is used to investigate how Chinese aid affects economic growth in recipient countries.
October 10, 2017
Axel Dreher, Andreas Fuchs, Bradley Parks, Austin M. Strange, Michael J. Tierney
AidData's TUFF Methodology, Version 1.3
Updated TUFF methodology that triangulates open-source information to systematically track official finance from opaque donors and lenders.
October 9, 2017
Austin M. Strange, Mengfan Cheng, Brooke Russell, Siddhartha Ghose, and Bradley Parks