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Country clustering applied to the water and sanitation sector: A new tool with potential applications in research and policy

机译:将国家分类应用于水和卫生部门:一种新工具,在研究和政策中具有潜在应用

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摘要

The fields of global health and international development commonly cluster countries by geography and income to target resources and describe progress. For any given sector of interest, a range of relevant indicators can serve as a more appropriate basis for classification. We create a new typology of country clusters specific to the water and sanitation (WatSan) sector based on similarities across multiple WatSan-related indicators. After a literature review and consultation with experts in the WatSan sector, nine indicators were selected. Indicator selection was based on relevance to and suggested influence on national water and sanitation service delivery, and to maximize data availability across as many countries as possible. A hierarchical clustering method and a gap statistic analysis were used to group countries into a natural number of relevant clusters. Two stages of clustering resulted in five clusters, representing 156 countries or 6.75 billion people. The five clusters were not well explained by income or geography, and were distinct from existing country clusters used in international development. Analysis of these five clusters revealed that they were more compact and well separated than United Nations and World Bank country clusters. This analysis and resulting country typology suggest that previous geography- or income-based country groupings can be improved upon for applications in the WatSan sector by utilizing globally available WatSan-related indicators. Potential applications include guiding and discussing research, informing policy, improving resource targeting, describing sector progress, and identifying critical knowledge gaps in the WatSan sector.
机译:全球卫生和国际发展领域通常按地理位置和收入将国家分类,以资源为目标并描述进展。对于任何给定的兴趣部门,一系列相关指标都可以作为分类的更合适基础。我们基于与多个与WatSan有关的指标之间的相似性,创建了针对水和卫生(WatSan)部门的国家集群的新类型。经过文献审查并与WatSan领域的专家进行磋商后,选择了九项指标。指标的选择基于与国家供水和卫生服务提供的相关性以及对国家供水和卫生服务提供建议的影响,并希望能在尽可能多的国家中最大化数据可用性。使用层次聚类方法和差距统计分析将国家分为自然数量的相关聚类。聚类的两个阶段导致五个聚类,代表156个国家或67.5亿人口。这五个集群在收入或地理上没有得到很好的解释,与国际发展中使用的现有国家集群不同。对这五个集群的分析表明,与联合国和世界银行的国家集群相比,它们更紧凑,间隔更远。该分析和得出的国家类型表明,通过利用全球可用的与WatSan相关的指标,可以改进以前基于地理或收入的国家/地区分组在WatSan领域的应用。潜在的应用程序包括指导和讨论研究,提供信息,改进资源目标,描述行业进展以及识别WatSan领域的关键知识缺口。

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    The Water Institute, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 148 Rosenau Hall, CB#7431, Chapel Hill, NC 27599, USA;

    The Water Institute, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 148 Rosenau Hall, CB#7431, Chapel Hill, NC 27599, USA;

    The Water Institute, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 148 Rosenau Hall, CB#7431, Chapel Hill, NC 27599, USA;

    The Water Institute, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 148 Rosenau Hall, CB#7431, Chapel Hill, NC 27599, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Water and sanitation; Cluster analysis; Country groupings;

    机译:水和卫生设施;聚类分析;国家分组;

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