Global India Data
Indian Development Finance Dataset, Version 1.0Download
This dataset contains 1,196 unique Indian development cooperation projects worth US$14.58 billion geocoded to over 4,000 locations in 169 countries between 2007 and 2014.
Asmus, G., Eichenauer, V.Z., Fuchs, A., and Parks, B. (2021). Does India Use Development Finance to Compete with China? A Subnational Analysis. AidData Working Paper #110. Williamsburg, VA: AidData at William & Mary.
(Most Current Version)
(Most Current Geocoded Version)
Natural Resource Concessions
Number of Entries:
Total Amount Tracked:
USD 14.58 Billion
The Indian Development Finance Dataset, Version 1.0 contains all Indian development cooperation projects reported in official documents of India’s Ministry of External Affairs (MEA) and the Export-Import (Exim) Bank of India between 2007 and 2014. The project locations are geocoded with various levels of precision. We release the data in four different datasets at different levels of aggregation and detail. A do-file shows how these datasets are related to each other, and a codebook provides an overview of the data, the coding methodology, and the variables. All datasets and the codebook are provided in the zip file. The full data cover 124 unique Exim Bank projects in 247 locations and 1,072 MEA projects in 4,064 locations in 169 countries. At the first administrative unit level, the data cover 642 unique projects in 2,174 locations, while there are 615 unique projects in 1,971 locations at the second administrative unit level – both in 94 countries. In total, the monetary value of these projects amounts to US$14.58 billion (in constant 2014 US$), of which US$9.56 billion originated from Exim Bank and US$5.02 billion from MEA.
This dataset is the result of a collaboration between the ETH Zurich, Heidelberg University, the University of Göttingen, the Kiel Institute, and AidData, a research lab at William & Mary. For the website of this collaborative project, see: https://indiandevelopmentfinance.net/.
Funding: Gerda Asmus, Vera Eichenauer, and Andreas Fuchs are grateful for generous support from the German Research Foundation (DFG) in the framework of the projects “The Economics of Emerging Donors in Development Cooperation” (DR 640/5-1 and FU 997/1-1) and “Empirical Analyses of Emerging Donors in Development Cooperation” (DR 640/5-3 and FU 997/1-3).