Literature DB >> 31452127

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

Andres Villegas1, María Molinos-Senante2,3, Alexandros Maziotis4,5.   

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.

Entities:  

Keywords:  DEA; Double-bootstrap; English and Wales; Environmental variables; Performance; Water utilities

Mesh:

Year:  2019        PMID: 31452127     DOI: 10.1007/s11356-019-06238-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  6 in total

1.  The influence of the operational environment on the efficiency of water utilities.

Authors:  Pedro Carvalho; Rui Cunha Marques
Journal:  J Environ Manage       Date:  2011-07-01       Impact factor: 6.789

2.  Impact of regulation on English and Welsh water-only companies: an input-distance function approach.

Authors:  María Molinos-Senante; Simon Porcher; Alexandros Maziotis
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-03       Impact factor: 4.223

3.  Assessing the productivity change of water companies in England and Wales: A dynamic metafrontier approach.

Authors:  María Molinos-Senante; Alexandros Maziotis; Ramon Sala-Garrido
Journal:  J Environ Manage       Date:  2017-03-11       Impact factor: 6.789

4.  Benchmarking the efficiency of the Chilean water and sewerage companies: a double-bootstrap approach.

Authors:  María Molinos-Senante; Guillermo Donoso; Ramon Sala-Garrido; Andrés Villegas
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-06       Impact factor: 4.223

5.  Monthly water quality forecasting and uncertainty assessment via bootstrapped wavelet neural networks under missing data for Harbin, China.

Authors:  Yi Wang; Tong Zheng; Ying Zhao; Jiping Jiang; Yuanyuan Wang; Liang Guo; Peng Wang
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-08       Impact factor: 4.223

6.  The determinants of technical efficiency of a large scale HIV prevention project: application of the DEA double bootstrap using panel data from the Indian Avahan.

Authors:  Aurélia Lépine; Anna Vassall; Sudhashree Chandrashekar
Journal:  Cost Eff Resour Alloc       Date:  2015-03-29
  6 in total
  1 in total

1.  Eco-Efficiency of the English and Welsh Water Companies: A Cross Performance Assessment.

Authors:  Ramon Sala-Garrido; Manuel Mocholi-Arce; Maria Molinos-Senante; Michail Smyrnakis; Alexandros Maziotis
Journal:  Int J Environ Res Public Health       Date:  2021-03-10       Impact factor: 3.390

  1 in total

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