Islands of Integrity: Identifying positive outliers
Under what conditions does a reduction in practices of corruption occur? Can it be attributed to improved institutional arrangements and enforcement procedures? Does it turn as much, or more, on the role of key players and coalitions? Or is it both? And what can the international community do to support these processes?
These questions are particularly important where a significant (or greater than expected) reduction in corruption is noted in one organization or sector in a country - the 'island of integrity' in the title of this paper - but where there is no comparable reduction more widely in the country or other sectors.
In collaboration with Transparency International, DLP has commenced a program of work to try to answer these questions. This new paper by Caryn Peiffer is the first in a series of products from this joint project, and it explains how a long list of cases has been identified, using statistical analysis of the data contained in Transparency International's very rich data source: The Global Corruption Barometer.
A second paper setting out the analysis in more technical detail will be available on the DLP website by June. In the coming months we will select a smaller set of cases from the long list outlined in this paper, and will then drill down into the detailed political processes of each case in order to explain how these particular 'islands' surfaced.
This work will make a valuable contribution to Transparency International's focus on corruption reduction processes and to the DLP's wider interest in the role of leaderships and coalitions in development. It will also help us to gain a better understanding of the room for manoeuvre that actors, or agents, have to work politically for positive developmental change in diverse structural, institutional and political circumstances and, furthermore, what the international community can do to support this.
Download the paper:
Caryn Peiffer (2012) "From Islands of Integrity to Understanding the Politics of Corruption Reduction: Phase One - statistical identification of positive outliers" DLP Research Paper 21.