ArticleEnvironmental science and pollution research international2019
Impact of environmental variables on the efficiency of water companies in England and Wales: a double-bootstrap approach.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 58 citations in OpenAlex.
- Measuring the overall cost efficiency of water companies and its determinants: an empirical study of stochastic frontier models.Environmental science and pollution research international · 2022Article
- The impact of greenhouse gas emissions on the performance of water companies: a dynamic assessment.Environmental science and pollution research international · 2021Article
- Eco-Efficiency of the English and Welsh Water Companies: A Cross Performance Assessment.International journal of environmental research and public health · 2021Article
- Estimating technical efficiency and allocative distortions of water companies: evidence from the English and Welsh water and sewerage industry.Environmental science and pollution research international · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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