Anti-corruption in aid-funded procurement: Is corruption reduced or merely displaced?

Dávid-Barrett, Elizabeth; Fazekas, Mihály

doi:10.1016/j.worlddev.2020.105000

Cited by 35 publications

(24 citation statements)

References 55 publications

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“…For example, a recent study on Uganda's healthcare revealed that even after a drastic increase in oversight and supervision on public spending, the long term positive result was not achieved [42]. Moreover, the wrongdoer utilizes the latest technologies to shun detection [43,44]. Recent studies have reported mafia infiltration to prevent more capable and efficient firms from winning the contract [45].…”

Section: Public Procurement Optimizationmentioning

confidence: 99%

Public Procurement, Big Data Analytics Capabilities, and Healthcare Supply Chain Sustainability

Kozanoglu¹,

Chakraborty²,

Murad³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Big data analytics (BDA) is considered the most critical supply chain activity for organizations. Implementing BDA requires specialized infrastructure coupled with specialized analytical expertise. Most of the existing research focuses on building BDA capabilities or perceived benefits of organizations' BDA capabilities. However, the benefits of having BDA capabilities, neither immediately visible nor straightforward. Optimizing procurement is one of the many intermediate factors that influence BDA capabilities' impact on the supply chain's sustainability performance. This paper has analyzed the existing literature to develop a conceptual framework to investigate the relationships among procurement optimization, BDA capabilities, and healthcare sustainable supply chain.

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Section: Public Procurement Optimizationmentioning

confidence: 99%

Public Procurement, Big Data Analytics Capabilities, and Healthcare Supply Chain Sustainability

Kozanoglu¹,

Chakraborty²,

Murad³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…The fourth group of studies on corruption includes empirical studies that have become possible in recent years due to increased transparency and open access to data on public expenditures and government program execution (Golden and Picci, 2005;Olken, 2006;Gorodnichenko and Sabirianova Peter, 2007;Ferraz and Finan, 2011) . Due to the unified nature of the procedures and a large number of public procurement contracts, the studies based on public procurement data analysis are now among the most popular in this group (Chong et al, 2013;Mironov and Zhuravskaya, 2016;Andreyanov et al, 2017;Tkachenko et al, 2017;Auriol et al, 2016;Szucs, 2017;Dávid-Barrett and Fazekas, 2020). Their significant advantages are the detection of transactions containing potentially corrupt elements and detailed analyses of such transactions' characteristics.…”

Section: Studies Of Corruptionmentioning

confidence: 99%

Gender heterogeneity of bureaucrats in attitude to corruption: Evidence from list experiment

Detkova

Tkachenko

Yakovlev

2021

Journal of Economic Behavior & Organization

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A high level of corruption usually constrains economic development in emerging countries. However, anti-corruption campaigns often fail because the relevant policies need to be implemented by existing corrupt governments. This article studies the extent of bureaucrats' heterogeneity in attitude to the problem of corruption. Due to the sensitivity of direct questions on corruption, we conduct the list experiment among public procurement officials in Russia. We show that female bureaucrats consider corruption to be an obstacle of public procurement development and male bureaucrats do not. This heterogeneity holds even at the high-level occupied positions.

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“…It is found that crime can be reduced by modifying the contractual terms and the market structure. On the other hand lack of transparency, consistency, responsibility of the Governors, weakness of the judicial and legislative systems are classified as the main causes of corruption, Myint (2000) and Barrett and Fazekas (2020) .…”

Section: Introductionmentioning

confidence: 99%

Corruption and instutitions: An analysis for the Colombian case

Pulido

Poveda

Carvajal

2020

Heliyon

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This paper identifies the main determinants of errors in the allocation of spending by the Colombian Government. Using information from the Electronic Public Procurement System (SECOP), the determinants of the probability of an addition to a contract are identified. The errors of the government can be interpreted as an approximation of their corruption. The average income and educational level of a colombian department are found to directly influence the probability of an addition. Using the estimation of the binary choice models, the forecast error of an addition is estimated, it is found that public and civil works contracts have more forecast error, forming an ideal mechanism for thefts and accumulation of bribes. Our results show that predicting an addition can be done with high certainty.

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Anti-corruption in aid-funded procurement: Is corruption reduced or merely displaced?

Cited by 35 publications

References 55 publications

Public Procurement, Big Data Analytics Capabilities, and Healthcare Supply Chain Sustainability

Public Procurement, Big Data Analytics Capabilities, and Healthcare Supply Chain Sustainability

Gender heterogeneity of bureaucrats in attitude to corruption: Evidence from list experiment

Corruption and instutitions: An analysis for the Colombian case

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