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Conference object . 2022
License: CC BY SA
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External research report . 2020
Data sources: Datacite
ZENODO
Conference object . 2022
License: CC BY SA
Data sources: Datacite
ZENODO
Conference object . 2022
License: CC BY SA
Data sources: Datacite
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Water and Sanitation Sector Integrity Risk Index

Authors: Fazekas, Mihály; Allakulov, Umrbek; Hernandez Sanchez, Alfredo; Aje, Joshua;

Water and Sanitation Sector Integrity Risk Index

Abstract

We employ a data-driven approach to develop a composite Water Integrity Risk Index (WIRI) made up of a host of objective proxy indicators as well as survey-based measures of corruption experience to identify and assess integrity risks in the urban W&S sector in selected settlements around the world. Unlike broader-scope corruption indices, the WIRI outlined in this paper uses administrative datasets and survey data capturing information on corruptible transactions; thus, our analysis is micro-level, narrowly focuses on the W&S sector and is both transparent and replicable. The result is an actionable index which measures integrity risks over 7 countries between 2012 and 2019.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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