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Measuring corruption indicators and indices

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https://hdl.handle.net/1814/29872
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1028-3625
Issue Date
2014
Type of Publication
Working Paper
Keyword(s)
Corruption; Indicators; Governance; Transparency international; World Bank
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Comparative regional integration and regionalism; Transnationalism
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http://hdl.handle.net/1814/30582
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EUI RSCAS; 2014/13; Global Governance Programme-78; European, Transnational and Global Governance; [Knowledge, Governance, Transformations]
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MALITO, Debora Valentina, Measuring corruption indicators and indices, EUI RSCAS, 2014/13, Global Governance Programme-78, European, Transnational and Global Governance, [Knowledge, Governance, Transformations] - https://hdl.handle.net/1814/29872
Abstract
The development of more sophisticated corruption measures has been stimulated by consistent and compelling demands for more effective action against corruption. However, the production of these indicators has rarely been addressed as a ‘technique of governance’ (Davis et al., 2012), or an instrument of ‘governance without government’ (Rosenau & Czempiel, 1992). The first section (1) reviews the major existing measures of corruption, by focusing on different categories of indices and indicators. The second part (2) pays particular attention to the major ontological and methodological criticisms, constraints and pitfalls, connected with these indicators. The third part (3) presents a comparative analysis of two of the most widely used indicators of corruption: the World Bank’s Control of Corruption indicator (CC) and Transparency International’s Corruption Perception Index (CPI). The fourth section (4) evaluates the policy implications embedded in the construction and employment of indicators, while the last part of the paper (5) concludes by summarizing the most important questions raised by this analysis.
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Additional Information
This Working Paper is a background paper delivered to frame the workshop ‘Global Governance by Indicators: Measuring corruption and corruption indicators’ convened by the Global Governance Programme of the European University Institute in Florence on 17 and 18 October 2013. Successively it was developed further in EUI RSCAS WP 2014/37 - http://hdl.handle.net/1814/30582
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