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Red flags are widely used to minimize the risk of various forms of economic misconduct, among which corruption in public procurement. Drawing on criminal investigations, the literature lists indicators of corruption in public procurements and has put them forward as viable risk indicators. But are they genuinely viable, if only corrupt procurements are analyzed? Using a dataset of 192 public procurements – with 96 cases where corruption was detected and 96 cases where corruption was not detected – this paper addresses the identification of significant risk indicators of corruption. We find that only some indicators significantly relate to corruption and that eight of them (e.g. large tenders, lack of transparency and collusion of bidders) can best predict the occurrence of corruption in public procurements. With this paper we want to address one of the most vulnerable areas of criminological research: selecting the right sample. Our results can help increase the detection of corruption, increase investigation effectiveness and minimize corruption opportunities.
Ioana Deleanu, Utrecht University
Joras Ferwerda, Utrecht School of Economics, Utrecht University
Brigitte Unger, Utrecht School of Economics, Utrecht University