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Enhancing sector data management to target the water poor

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conference contribution
posted on 12.02.2018, 15:07 by Ricard Gine, Agusti Perez-Foguet
Appropriate data management as the basis of effective performance reporting is crucial if sector institutions are to track whether they achieve their objectives. This paper shows how a post process of readily available data to construct water poverty maps can be used to identify effectively the most water poor communities, and thus improve the targeting of sector development policies and projects. To this end, water poverty takes its definition from the Water Poverty Index, which combines biophysical, social, economic and environmental data in one single and comparable number to produce a holistic and userfriendly tool for policy making. The study is based on a comprehensive record of the water sources developed by UNICEF in Turkana District, in Kenya. The main conclusion is that such an index allows decisionmakers to determine and target priority needs for interventions in the water sector, while assessing the impacts of sector related development policies.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

WEDC Conference

Citation

GINE GARRIGA, R. and PEREZ-FOGUET, A., 2009. Enhancing sector data management to target the water poor. IN: Shaw, R.J. (ed). Water, sanitation and hygiene - Sustainable development and multisectoral approaches: Proceedings of the 34th WEDC International Conference, Addis Ababa, Ethiopia, 18-22 May 2009, 10p.p.

Publisher

© WEDC, Loughborough University

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2009

Notes

This is a conference paper.

Other identifier

WEDC_ID:10207

Language

en

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