CEU Electronic Theses and Dissertations, 2020
| Author | Kazmina, Yuliia |
|---|---|
| Title | Uncovering Corruption Risks in Public Procurement Using Big Data: the Case of Ukraine |
| Summary | Corruption, favouritism and lack of public accountability have long been a central topic in academic research and policy debates. This study focuses on the phenomenon of corruption in a bureaucratic context, in one of the most corruption-prone sectors – public procurement. In their attempts to fight institutionalized grand corruption, governments all over the world improve the regulatory frameworks to ensure transparent and efficient public procurement market. One of the recent developments in the field was a successful launch of the ProZorro public procurement platform in Ukraine that achieved recognition all over the world as one of the best procurement reforms. Despite the enormous effort invested in the development of the transparent and efficient public procurement platform, it is too early to conclude that ProZorro successfully eliminated corruption. Hence, this study sets out to precisely estimate the prevalence and distribution of corruption risks in ProZorro. Overall, we find that ProZorro faces issues related to the lack of competition such as a low number of suppliers and a high share of single bidding contracts in some of the procurement markets. To tackle these issues, we develop a risk assessment tool for policymakers that could signal higher corruption risks in tendering processes. |
| Supervisor | Csorba, Gergely |
| Department | Economics MA |
| Full text | https://www.etd.ceu.edu/2020/kazmina_yuliia.pdf |
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