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New ways to measure institutionalised grand corruption in public procurement

Public procurement, one of the largest areas of public spending worldwide, gives public officials wide discretion. It is therefore unsurprising that it is also one of the government functions most often vulnerable to corruption. While there have been many qualitative accounts of high-level corruption in public contracting, it is only recently that quantitative indicators have become available. By making use of big data generated by governments on contracts, companies, and individuals, it is possible to develop a new generation of quantitative indicators which can be used to guide policy intervention and support control of corruption.

24 October 2014
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Tóth, I.; Fazekas, M.; (2014) New ways to measure institutionalised grand corruption in public procurement. Bergen: U4 Anti-Corruption Resource Centre, Chr. Michelsen Institute (U4 Brief )

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István János Tóth
Mihály Fazekas

Mihály Fazekas is an associate professor at the Central European University, Department of Public Policy, with a focus on using Big Data methods to understand the quality of government globally. He is also the scientific director of an innovative think tank, the Government Transparency Institute (GTI). He has a PhD from the University of Cambridge, where he pioneered Big Data methods to measure and understand high-level corruption in Central and Eastern Europe.


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