‘Ground-Truthing’ Chinese Development Finance in Africa: Field Evidence from South Africa and Uganda

Edwin Muchapondwa, Daniel Nielson, Bradley Parks, Austin M. Strange and Michael J. Tierney

Journal of Development Studies, 2016, vol. 52, issue 6, 780-796

Abstract: A new methodology, Tracking Underreported Financial Flows (TUFF), leverages open-source information on development finance by non-transparent, non-Western donors. If such open-source methods prove to be valid and reliable, they can enhance our understanding of the causes and consequences of development finance from non-transparent donors including, but not limited to, China. But open-source methods face charges of inaccuracy. In this study we create and field-test a replicable ‘ground-truthing’ methodology to verify, update, and improve open-source data with in-person interviews and site visits in Uganda and South Africa. Ground-truthing generally reveals close agreement between open-source data and answers to protocol questions from informants with official roles in the Chinese-funded projects. Our findings suggest that open-source data collection, while limited in knowable ways, can provide a stronger empirical foundation for research on development finance.

Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1080/00220388.2015.1087510

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