Universalistic rules-particularistic implementation: The EU’s single market for government purchases

Fazekas, M and Skohrovec, J (2016). Universalistic rulesparticularistic implementation: The EU’s single market for government purchases. GTI-R/2016:01, Budapest: Government Transparency Institute.

Open and fair access to government contracts has been a long-standing principle in many international trade agreements including the one on the EU’s single public procurement market which is probably the most extensive among them with its long standing common regulatory and enforcement framework. However, the ostensibly low prevalence of cross-border trade in European public procurement represents a troubling puzzle: only about 5% of procurement contracts are awarded to non-domestic suppliers. This is in strike contrast with overall trade …

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From Corruption to State Capture. A New Analytical Framework with Empirical Applications from Hungary

Fazekas, M. – Tóth, I. J. (2016): From Corruption to State Capture. A New Analytical Framework with Empirical Applications from Hungary. Political Research Quarterly, published online before print on March 24, 2016 

http://prq.sagepub.com/content/early/2016/03/18/1065912916639137.abstract

State capture and corruption are widespread phenomena across the globe, but their empirical study still lacks sufficient analytical tools. This paper develops a new conceptual and analytical framework for gauging state capture based on microlevel contractual networks in public procurement. To this end, it establishes a novel measure of corruption risk in government contracting focusing on the behavior of individual organizations. Then, it identifies clusters of high-corruption-risk …

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Data Publication: Czech, Hungarian and Slovakian national public procurement contract database

The database contains not only the most important information about individual public procurement tenders in the Czech Republic, Hungary and Slovakia but also the Corruption Risk Index and its components.

Database building and calculations were accomplished within the DIGIWHIST project funded by EU Horizon 2020.

Download in csv

Variable list (xlsx)

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