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Impact of environmental variables on the efficiency of water companies in England and Wales: a double-bootstrap approach

机译:环境变量对英格兰和威尔士水资源效率的影响:双引导方法

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An important aspect of the regulatory process is the performance comparison of regulated firms. This exists in regulated industries where tariffs are determined through a benchmarking process such as the English and Welsh water industry. A double-bootstrap data envelopment analysis (DEA) approach was applied to overcome the uncertainty in efficiency scores and to reveal the influence of environmental variables on 18 water companies in England and Wales during the 2001-2016 period. The results showed that bias and bias-corrected efficiency scores lead to changes in the water companies' rankings. This reveals the importance of using reliable methodologies to support the decision-making process. Higher levels of average pumping head, leakage, and abstraction of water from reservoirs lead to lower efficiency. In contrast, increased population density leads to larger efficiency. We also link the results from the efficiency of water companies with the regulatory cycle. Our findings can be useful to policy makers for them to better understand water utilities' performance and to aid them in reshaping their current policies and practices to improve efficiency and provide better service to customers.
机译:监管程序的一个重要方面是受监管公司的性能比较。这是受管制的行业,其中通过基准过程确定了英语和威尔士水工业的基准过程。采用双举自动启动数据包络分析(DEA)方法来克服效率分数的不确定性,并揭示2001 - 2016年期间英格兰和威尔士18家水资源的环境变量的影响。结果表明,偏见和偏置效率得分导致水资源公司排名的变化。这揭示了使用可靠方法来支持决策过程的重要性。从储层的水平较高的平均水平泵头,泄漏和抽取水平导致效率降低。相比之下,人口密度增加导致更大的效率。我们还将结果与监管周期的水资源效率联系起来。我们的调查结果对于他们来说是为了更好地了解水上公用事业的绩效并帮助他们重塑他们目前的政策和实践来提高效率并为客户提供更好的服务。

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