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Download fileEnhancing sector data management to target the water poor
conference contribution
posted on 2018-02-12, 15:07 authored by Ricard Gine, Agusti Perez-FoguetAppropriate 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 ConferenceCitation
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 UniversityVersion
- 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
2009Notes
This is a conference paper.Other identifier
WEDC_ID:10207Language
- en