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Nonparametric Benchmarking of Japanese Water Utilities: Institutional and Environmental Factors Affecting Efficiency

机译:日本公用事业的非参数基准:影响效率的制度和环境因素

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摘要

Although the Japanese water sector is economically and socially important, few empirical studies are available to help analysts and policy-makers understand the performance patterns in the industry. This study applies data envelopment analysis to 5,538 observations of 1,144 utilities that supplied drinking water between 2004 and 2007. With a comprehensive census of utilities, the present study controls for many factors affecting efficiency: region, prefecture, ownership/governance, water source, vertical integration (purchased or produced alone), water or integrated system, production, treatment, transport and distribution of water), peak factor, per capita consumption, customer density, water losses, monthly water charge, outsourcing, subsidies, gross prefecture product, and time. Thus, this study derives comprehensive conclusions regarding efficiency patterns in Japan. The analysis finds that the average level of inefficiency (weighted by volume) is 57% in the constant return to scale model, but only 24% for the (more flexible) variable return to scale model. Improving sector efficiency and transferring funds to more innovative sectors rather than using scarce funds to subsidize water distribution would benefit citizens. Thus, the application of advanced quantitative techniques to Japanese water utilities improves the understanding of efficiency patterns and underscores the importance of in-depth studies of the individual factors examined in this study.
机译:尽管日本水务部门在经济和社会上具有重要意义,但很少有经验研究可帮助分析师和决策者了解该行业的绩效模式。本研究将数据包络分析应用于2004年至2007年间对1,144家提供饮用水的公用事业公司的5,538个观测值。通过对公用事业公司的全面普查,本研究控制了许多影响效率的因素:地区,县,所有权/治理,水源,垂直集成(单独购买或生产),水或集成系统,水的生产,处理,运输和分配),高峰因素,人均消费量,客户密度,水损失,每月水费,外包,补贴,县生产总值和时间。因此,本研究得出有关日本效率模式的综合结论。分析发现,在不变规模收益模型中,平均无效率水平(按体积加权)为57%,而对于(更灵活的)可变规模收益模型,平均效率仅为24%。提高部门效率并将资金转移到更具创新性的部门,而不是使用稀缺的资金来补贴水分配,将使公民受益。因此,将先进的定量技术应用到日本自来水公司可以提高对效率模式的理解,并强调对本研究中所考察的各个因素进行深入研究的重要性。

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