Global China Data
AidData's Global Chinese Official Finance Dataset, 2000-2014, Version 1.0
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For charts and maps visualizing the global dataset, visit our project homepage on China's Global Development Footprint.
Date Published
Summary
This dataset 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 geolocated data on Chinese project locations, see AidData's Geocoded Global Chinese Official Finance Dataset, Version 1.1.1.
Official Citation
For academic purposes:
Dreher, A., Fuchs, A., Parks, B. C., Strange, A., & Tierney, M.J. (2021). Aid, China, and Growth: Evidence from a New Global Development Finance Dataset. American Economic Journal: Economic Policy 13(2), 135-74.
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. 2017. Global Chinese Official Finance Dataset, Version 1.0. Retrieved from http://aiddata.org/data/chinese-global-official-finance-dataset.
Metadata
Version
Version 1.0
(Most Current Version)
(Most Current Geocoded Version)
Methodology
Geocoded
SDG Coded
Natural Resource Concessions
TUFF
Survey Results
Specifications
File Size:
Publication Date:
Oct 2017
Starting Year:
2000
Ending Year:
2014
Number of Entries:
Total Amount Tracked:
Currency:
2014 USD
Full Description
This dataset captures the known universe of officially-financed Chinese 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, 1.1.1, and 1.2).
Methodology Documentation
TUFF—'Tracking Underreported Financial Flows'—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 AidData's TUFF Methodology, Version 1.3 document. For specific, step-by-step instructions used by AidData researchers to arbitrate project records, please see the AidData TUFF Coder Instructions, Version 1.3 document.
Funding: This research was funded through generous support from the John D. and Catherine T. MacArthur Foundation, the William and Flora Hewlett Foundation, Humanity United, the Academic Research Fund of Singapore’s Ministry of Education, and the German Research Foundation (DFG) for ”The Economics of Emerging Donors in Development Cooperation” project at Heidelberg University (DR 640/5-1 and FU 997/1-1).
