How to identify widespread corruption? New insights from geo‐spatial analysis

Bibliographic Data

ID6263448
AuthorsSteven Gawthorpe (Faculty of Social Sciences Charles University Prague Czechia, corresponding author), Joseph Pozsgai-Alvarez (0000-0002-9338-2583, School of Human Sciences Osaka University Suita Japan)
Year2024
Volume37
Issue4
Pages1183-1204
Publication date2024-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGovernance (JOURNAL)
Journal identifiersISSN: 0952-1895 • E-ISSN: 1468-0491
PublisherWiley (PUBLISHER • GB)
DOI10.1111/gove.12832
OpenAlexW4388097113
LanguageEN
Citations received1
References cited73

How do we know when corruption has become widespread? Despite the rich body of literature on the problem, there are few proposed methods to conceptualize and empirically identify it within a geographic context. Using spatial analysis, this paper expands the means to identify corruption as an informal institution by examining the degree to which favoritism—in the form of preferential treatment for politically connected firms—is widespread in the Czech procurement sector. Using the conceptual guidance from literature on informal institutions, the empirical results show the prevalence throughout space, the stability over time, and the places by which preferential mechanisms coordinate widespread construction award disparities. These preferential patterns, which are not limited to one or a few individuals, exhibit characteristics that the problem is less of an exception and more of the rule

Business · Context (archaeology · Czech · Economic geography · Geography · Institution · Language change · Political science · Procurement · Regional science · Auction Theory and Applications · Computer Science · Corruption and Economic Development · Law · Political Influence and Corporate Strategies · Marketing

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