ArticleEnvironmental science and pollution research international2018
Benchmarking the efficiency of the Chilean water and sewerage companies: a double-bootstrap approach.
Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
3 citing papers in PubMed, 53 citations in OpenAlex.
- Measuring the marginal costs of reducing water leakage: the case of water and sewerage utilities in Chile.Environmental science and pollution research international · 2021Article
- Impact of environmental variables on the efficiency of water companies in England and Wales: a double-bootstrap approach.Environmental science and pollution research international · 2019Article
- Evaluation of the influence of economic groups on the efficiency and quality of service of water companies: an empirical approach for Chile.Environmental science and pollution research international · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Benchmarking the efficiency of water companies is essential to set water tariffs and to promote their sustainability. In doing so, most of the previous studies have applied conventional data envelopment analysis (DEA) models. However, it is a deterministic method that does not allow to identify environmental factors influencing efficiency scores. To overcome this limitation, this paper evaluates the efficiency of a sample of Chilean water and sewerage companies applying a double-bootstrap DEA model. Results evidenced that the ranking of water and sewerage companies changes notably whether efficiency scores are computed applying conventional or double-bootstrap DEA models. Moreover, it was found that the percentage of non-revenue water and customer density are factors influencing the efficiency of Chilean water and sewerage companies. This paper illustrates the importance of using a robust and reliable method to increase the relevance of benchmarking tools.
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Registered trials
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