Sustainability and high-level corruption in healthcare procurement: Profiles of Italian contracting authorities

Simone Del Sarto, Michela Gnaldi and Niccolò Salvini

Socio-Economic Planning Sciences, 2024, vol. 95, issue C

Abstract: Addressing corruption is crucial for building a sustainable healthcare system that ensures access, quality, and equity in healthcare delivery. Despite that, many current strategies to combat corruption in the healthcare sector do not evaluate high-level corruption, such as corruption risks occurring at sub-national levels. This work bridges this gap by providing corruption risk profiles of Italian contracting authorities responsible for procuring goods and services for healthcare facilities in the public procurement process. Using an array of 14 red flags of corruption risk and an extended Item Response Theory model applied to a big data source made available by the Italian Anti-corruption Authority, our main findings show that: i. the risk of corruption is a multidimensional occurrence, which can be represented as a four-dimensional latent variable; ii. there are eight clusters of contracting authorities, having distinct and well-defined risk profiles over the four ascertained dimensions of corruption risk; iii. the distribution of risk profiles at sub-national level showcases relevant geographic variations and emphasises the need for tailored anti-corruption strategies to effectively address region-specific challenges and risk factors.

Keywords: Corruption; Healthcare procurement; Item response theory; Risk assessment; Risk profiles (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012124001873
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124001873

DOI: 10.1016/j.seps.2024.101988

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().