2012
DOI: 10.2166/wp.2012.043
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A multidimensional analysis of water poverty at local scale: application of improved water poverty index for Tunisia

Abstract: Combining the measure of water availability and the socio-economic capacity to access it gives new insights in the fields of water resources management and poverty alleviation. This approach lets researchers think about new multidimensional water scarcity indexes that have contributed to the definition of the water poverty index (WPI). The methodology first used for the calculation of this aggregate index was based on an equally weighted average of its five components (resources, capacity, access, use and envi… Show more

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Cited by 36 publications
(16 citation statements)
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“…Although it has attracted criticism (for example, Komnenic et al ., ), the WPI is relatively well established, having been used on international, national and district scales in a variety of studies (for example, Lawrence et al ., ; Heidecke, ; Qiang et al ., ; Manandhar et al ., ). It has been described as a “holistic tool which permits more effective water policy making” (Jemmali and Salah‐Matoussi, :110).…”
Section: Holistic Measurements: the Water Poverty Indexmentioning
confidence: 99%
“…Although it has attracted criticism (for example, Komnenic et al ., ), the WPI is relatively well established, having been used on international, national and district scales in a variety of studies (for example, Lawrence et al ., ; Heidecke, ; Qiang et al ., ; Manandhar et al ., ). It has been described as a “holistic tool which permits more effective water policy making” (Jemmali and Salah‐Matoussi, :110).…”
Section: Holistic Measurements: the Water Poverty Indexmentioning
confidence: 99%
“…The approach used is based on existing literature (e.g. Cho et al 2010;Jemmali and Matoussi 2013;Jemmali and Sullivan 2014). In PCA-based weighting, the weights are computed from eigenvalues V (the variances) and eigenvectors L (the component loads) of a number of retained PCs.…”
Section: Case Study Wpi Component Weighting Schemesmentioning
confidence: 99%
“…Though these insights have typically not been deeply analysed, especially with regard to WPI, several authors have used principal component analysis (PCA) (e.g. Cho et al 2010;Garriga and Foguet 2010;Jemmali and Matoussi 2013;Jemmali and Sullivan 2014;Pérez-Foguet and Garriga 2011). This method assigns weights based on the variances in the WPI components, which helps to highlight differences over time or space.…”
Section: Introductionmentioning
confidence: 99%
“…The initial WPI combined physical, social, economic, and environmental data to reflect water poverty, water use, the ability to manage water resources, etc. The credibility, availability, and representation of these indicators have been discussed by international scholars through a wide range of consultations [20,28,29]. The WPI has been applied nationally.…”
Section: Introductionmentioning
confidence: 99%