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From Water Poverty to Water Prosperity—A More Participatory Approach to Studying Local Water Resources Management

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  • Julie Wilk
  • Anna Jonsson

Abstract

The Water Poverty Index (WPI), a tool designed for integrated analysis of water issues, was set-up in a community in Madhya Pradesh, India through a transparent and participatory process. Though the aim of the WPI is to primarily use existing statistical data, quantitative information from census and local records was combined with qualitative data from community interviews and participatory exercises. The inclusion of community chosen indicators and the adjustment of values so that higher numbers represent water prosperity rather than water poverty, led to the Water Prosperity Index (WPI + ). The WPI + score was contrasted with the WPI at community level. It was also calculated for two community areas with different caste and socio-economic characteristics and weighted separately according to water issues prioritized by men and women. The WPI + revealed a great difference in water access between the two areas and in prioritized issues between men and women illustrating the importance of appropriate spatial representation and gender sensitive assessments for revealing important disparities. Results also showed that highly aggregated data hide these differences making it more difficult to target the most vulnerable groups when planning measures to increase equitable water allocation. While quantitative data reveal an important perspective of the water situation, qualitative data about adequacy of resources, services or institutions, improve understanding of which issues to prioritize. A valid and useful community water index must be based on representative participation, transparency and local influence on the methodology and subsequent results. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Julie Wilk & Anna Jonsson, 2013. "From Water Poverty to Water Prosperity—A More Participatory Approach to Studying Local Water Resources Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 695-713, February.
  • Handle: RePEc:spr:waterr:v:27:y:2013:i:3:p:695-713
    DOI: 10.1007/s11269-012-0209-8
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    References listed on IDEAS

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    Cited by:

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    4. Caizhi Sun & Yongjie Wu & Wei Zou & Liangshi Zhao & Wenxin Liu, 2018. "A Rural Water Poverty Analysis in China Using the DPSIR-PLS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 1933-1951, April.
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    6. Yifan Ding & Deshan Tang & Huichao Dai & Yuhang Wei, 2014. "Human-Water Harmony Index: A New Approach to Assess the Human Water Relationship," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1061-1077, March.
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    10. Maria-Zenovia Grigore & Răzvan Vasile, 2022. "Water Collection, Treatment and Supply as an Essential Service and Engine for Sustainable and Resilient Development in Post Pandemic Period. Economic Performance vs Social Responsibility," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 10(2), pages 53-66, December.
    11. Mrittika Basu & Satoshi Hoshino & Shizuka Hashimoto, 2016. "A pragmatic analysis of water supply and demand, and adaptive capacity in rural areas: development of Rural Water Insecurity Index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 447-466, March.
    12. Wenxin Liu & Minjuan Zhao & Wei Hu & Yu Cai, 2018. "Spatial‐temporal variations of water poverty in rural China considered through the KDE and ESDA models," Natural Resources Forum, Blackwell Publishing, vol. 42(4), pages 254-268, November.
    13. Ashish Chopra & Parthasarathy Ramachandran, 2021. "Multidimensional analysis of water sector performance in India: an index approach," OPSEARCH, Springer;Operational Research Society of India, vol. 58(1), pages 109-124, March.
    14. Caizhi Sun & Wenxin Liu & Wei Zou, 2016. "Water Poverty in Urban and Rural China Considered Through the Harmonious and Developmental Ability Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2547-2567, May.
    15. Liu Wenxin & Zhang Yao & Xu Ruifan & Zhang Zhen, 2022. "Water shortage risk evaluation and its primary cause: Empirical evidence from rural China," Natural Resources Forum, Blackwell Publishing, vol. 46(2), pages 179-199, May.
    16. Shen, Jinlong & Zhao, Yekun & Song, Jianfeng, 2022. "Analysis of the regional differences in agricultural water poverty in China: Based on a new agricultural water poverty index," Agricultural Water Management, Elsevier, vol. 270(C).
    17. Diego Azqueta & Álvaro Montoya, 2017. "The social benefits of water and sanitation projects in Northern Colombia: Cost-Benefit Analysis, the Water Poverty Index and beyond," Development Policy Review, Overseas Development Institute, vol. 35, pages 118-139, October.

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