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

机译:从水资源贫富到水资源富裕-研究地方水资源管理的一种更具参与性的方法

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摘要

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.
机译:通过透明和参与性的过程,在印度中央邦的一个社区中建立了水贫困指数(WPI),该工具旨在对水问题进行综合分析。尽管WPI的目的主要是使用现有的统计数据,但将人口普查和地方记录中的定量信息与社区访谈和参与性练习中的定性数据相结合。纳入社区选择的指标并进行价值调整,以便更多的数字代表水的繁荣而不是水的贫困,从而导致了水繁荣指数(WPI +)。 WPI +分数与社区级别的WPI形成对比。还针对具有不同种姓和社会经济特征的两个社区区域进行了计算,并根据男女优先考虑的水资源问题分别加权。 WPI +揭示了两个地区之间在取水方面以及男人与女人之间的优先问题上的巨大差异,这说明了适当的空间代表性和性别敏感性评估对于揭示重要差异的重要性。结果还表明,高度汇总的数据掩盖了这些差异,因此在计划增加公平用水分配的措施时,更难确定最弱势群体。虽然定量数据揭示了水资源状况的重要观点,但有关资源,服务或机构充足性的定性数据却可以提高对优先事项的认识。有效和有用的社区用水指数必须基于代表性的参与,透明度以及对方法和后续结果的当地影响。

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    Wilk, Julie; Jonsson, Anna;

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  • 年度 2013
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  • 正文语种 eng
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