Working papers

Measuring the Risk of Corruption and Its Price Impact in North Macedonia 2011–2022

Fazekas, Mihály; Abdou, Aly; Ibrahimi, Klea; Tóth, Bence; & Veljanov, Zdravko (2024) Measuring the Risk of Corruption and Its Price Impact in North Macedonia 2011–2022. Policy Research working paper: WPS11007, Washington, D.C.: World Bank.
Public procurement in North Macedonia amounted to 16 percent of total government expenditure in 2018, or 5 percent of gross domestic product. The country’s public procurement is also vulnerable to corruption risks, which typically push prices up, leading to overspending. To support better budget policies, this
…

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Green Is Less Greedy : Competition, Corruption, and Productivity in Green Public Procurement in Bulgaria

Poltoratskaia,Viktoriia; Fazekas,Mihaly; Quintero,Maria Fernanda; & Schiffbauer, Marc Tobias. (2024) Green Is Less Greedy : Competition, Corruption, and Productivity in Green Public Procurement in Bulgaria. Policy Research Working Paper: WPS10987, Washington, D.C.: The World Bank.

Although green public procurement has been established as a desirable policy goal across the globe, especially in the European Union, its scope and impacts remain severely understudied. This paper provides insights into the prevalence and structure of green public procurement in Bulgaria, which is a sustainability …

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Measuring Legislative Predictability: The Case of the Kingdom of Jordan and Implications for the MENA Region

Fazekas, Mihály; Brenner, Dominik & Ladegaard, Peter Farup (2024), Measuring Legislative Predictability: The Case of the Kingdom of Jordan and Implications for the MENA Region, Policy Research working paper, WPS10864, World Bank Group

Laws and regulations represent a central tool for governments to achieve policy objectives, and they also represent a fundamental condition for making desirable individual and business decisions. While laws and regulations regularly have to be adapted to changing circumstances, frequent and sudden modifications indicate legislative unpredictability and …

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Using beneficial ownership data for large-scale risk assessment in public procurement. The example of 6 European countries

Arista, Irene Tello; Fazekas, Mihály & Volkotrub, Antonina (2024), Using beneficial ownership data for large-scale risk assessment in public procurement. The example of 6 European countries. GTI-WP/2024:02, Budapest: Government Transparency Institute

This paper fills a critical gap in the literature, providing practical insights into employing beneficial ownership data for large-scale corruption risk assessment in public procurement, with potential implications for public policy and practice. Existing literature lacks systematic evidence on using beneficial ownership (BO) data for large-scale corruption risk assessment. …

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Hidden barriers to open competition: Using text mining to uncover corrupt restrictions to competition in public procurement

Katona, Eszter & Fazekas, Mihály (2024). Hidden barriers to open competition: Using text mining to uncover corrupt restrictions to competition in public procurement. GTI-WP/2024:01, Budapest: Government Transparency Institute

Public procurement accounts for one third of government spending across the world, while it is also particularly vulnerable to corruption. Large amounts of open administrative data enabled a rich literature on measuring corruption. However, scholarship largely focuses on structured information on government tenders, neglecting text fields which are particularly suitable for hiding …

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Efficiency gains from anti-corruption in pharmaceuticals procurement: Analysis of 9 countries across 3 continents

Veljanov, Z. and Fazekas, M. (2023). Efficiency gains from anti-corruption in pharmaceuticals procurement: Analysis of 9 countries across 3 continents. GTI-WP/2023:04, Budapest: Government Transparency Institute.

Public procurement of pharmaceutical products represents a large share of countries’ health care spending. The crucial importance of pharmaceutical products has been further exposed by the COVID-19 pandemic. Inefficiencies and corruption risks in public spending on the procurement of pharmaceuticals increase medical costs and place a heavy burden on national budgets and patients.
To support …

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Linked Beneficial Ownership data? Challenges and opportunities

Fazekas, M., Poltoratskaia, V., Vianello, M. and Trautvetter, C. (2023).  Linked Beneficial Ownership Data? Challenges and Opportunities. Network of Experts on Beneficial Ownership Transparency – NEBOT Policy Paper 6.  Publications Office of the European Union, Luxembourg

One of the most widely-accepted policy goals of beneficial ownership registers is to help tackle money laundering and financial crime. In order to further this goal, this paper first identifies types of data needed to track dark money and assesses how these can be …

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Corruption risks in public procurement through the COVID-19 pandemic in Europe

Fazekas, M., Hernandez Sanchez, A., Abdou, A. and Kofrán, D. (2023). Corruption risks in public procurement through the COVID-19 pandemic in Europe. GTI-WP/2023:03, Budapest: Government Transparency Institute.

The COVID-19 pandemic has been a major emergency globally, requiring rapid responses to protect citizens’ health and lives. In order to inform future emergency policies, this paper sets out to track the corruption risk impact of the COVID-19 pandemic and the policies implemented to tackle the pandemic.
We adopt a mixed-methods approach, …

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Corruption Risks and State Capture in Bulgarian Public Procurement

Fazekas, M.; Poltoratskaia, V.; Tóth, B. (2023). Corruption Risks and State Capture in Bulgarian Public Procurement (English). Policy Research working paper; no. WPS 10444 Washington, D.C.: World Bank Group.

This paper sets out to measure and analyze corruption risks, patterns of favoritism, and state capture in public procurement in Bulgaria. It draws on two main types of data: large-scale administrative data on public procurement and the list of politically exposed persons. The analysis rests on calculating individual corruption risk …

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Public procurement cartels: A large-sample testing of screens using machine learning

Fazekas, M., Tóth, B. and Wachs, J. (2023). Public procurement cartels: A large-sample testing of screens using machine learning. GTI-WP/2023:02, Budapest: Government Transparency Institute.

Cartels in public procurement impose high costs on public budgets. Precisely measuring them has a prominent policy and academic importance. The literature so far used data which is not widely available, aimed to identify specific behaviours in isolation, and considered few cases to generalise from. By implication, it has not produced comprehensive and generalisable knowledge able …

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