Measuring Corruption in Infrastructure: Evidence from Transition and Developing Countries
By Charles Kenny. 2009
139 citations recorded by the source corpus.
Abstract This paper examines what we can say about the extent and impact of corruption in infrastructure using existing evidence. There is evidence that most perceptions measures appear to be very weak proxies for the actual extent of corruption in the infrastructure sector, largely (but inaccurately) measuring petty rather than grand corruption. Survey evidence is more reliable, but limited as a tool for differentiating countries in terms of access to infrastructure finance or appropriate policy models. The paper suggests that a focus on bribe payments as the indicator of the costs of corruption in infrastructure may be misplaced.
Subfields: Economics and Econometrics, Sociology and Political Science, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/90c142ca8f1505c1250f11d43c2b32ce1b8d493a
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Citations in the corpus
- “Close but no Cigar”: the measurement of corruption* (2014, background): “…be understood in terms of financial corruption that affects businesses – a focus which may serve to obscure the distinctions between different types of corruption and potentially even mask the effects of corruption (Knack 2006, 2; Andersson and Heywood 2009, 753; Kenny 2009, 328; Olken 2009, 951).”
- Social responsibility of major infrastructure projects in China (2015, background): “In practice, the corruption of infrastructure in developing countries (Bardhan and Mookherjee, 2000; Kenny, 2009), engineering safety risk problems caused by noncompliance of rules and other illegalities or irregularities have attracted much attention from governments, scholars and the public.”
- Infrastructure and Development: A Critical Appraisal of the Macro-level Literature (2008, background): “Justifications for this include simple government inefficiency or departure from efficiency for redistributive motives among others and potential corruption, which can be quite high in infrastructure projects as shown by Kenny ( 2009 ) among others.”