2019
DOI: 10.1016/j.jenvman.2019.03.093
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Economic and environmental efficiency of UK and Ireland water companies: Influence of exogenous factors and rurality

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Cited by 49 publications
(15 citation statements)
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References 41 publications
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“…Interestingly, although the bias taken out of the sample was large, it only changed the rank of two companies, swapping ranks 13 and 14 around. This result is rare and contrasts with other research (e.g., Ananda, 2014;Gómez et al, 2017;Molinos-Senante and Sala-Garrido, 2019;Walker et al, 2019) where their biases resulted in many rank changes. An explanation for this result could be that the sample is not large and does not lend itself to many rank changes naturally.…”
Section: Bias-corrected Scorescontrasting
confidence: 99%
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“…Interestingly, although the bias taken out of the sample was large, it only changed the rank of two companies, swapping ranks 13 and 14 around. This result is rare and contrasts with other research (e.g., Ananda, 2014;Gómez et al, 2017;Molinos-Senante and Sala-Garrido, 2019;Walker et al, 2019) where their biases resulted in many rank changes. An explanation for this result could be that the sample is not large and does not lend itself to many rank changes naturally.…”
Section: Bias-corrected Scorescontrasting
confidence: 99%
“…The average corrected efficiency scores indicated that an average water utility could scale down their collective OPEX and CAPEX by 92.3%, whilst producing the same amount of drinking water. This is particularly large compared to the Walker et al (2019) study on UK and Irish water and sewerage utilities, where they calculated that the average utility could decrease their economic inputs by 19.4%. A possible reason for this was alluded to in Section 3.1, that having such a large theoretical drop in inputs is likely a result of the very considerable range in efficiency scores (1.286-42.467) brought about seemingly by the Non-bias corrected scores Bias-corrected scores mixture of WaSC and WoCs in the sample.…”
Section: Economic Efficiency Resultsmentioning
confidence: 89%
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“…Previous authors in related disciplines have highlighted that operational variables (including company ownership, size, technology use, source of water, population density, energy consumption, construction year and the total area classed as rural) can affect efficiency levels in the water industry internationally (Conti, 2005 Walker et al, 2019). Thus, the operating environment of the WASCs could also impact pollution incident performance results calculated using the EPA performance indicator methodology.…”
Section: Introductionmentioning
confidence: 99%