2015
DOI: 10.3390/w7105503
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Conditional Order-m Efficiency of Wastewater Treatment Plants: The Role of Environmental Factors

Abstract: Abstract:The growing economic and environmental importance of managing water resources at a global level also entails greater efforts and interest in improving the functioning and efficiency of the increasingly more numerous wastewater treatment plants (WWTPs). In this context, this study analyzes the efficiency of a uniform sample of plants of this type located in the region of Valencia (Spain). The type of efficiency measure used for this (conditional order-m efficiency) allows continuous and discrete contex… Show more

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Cited by 26 publications
(25 citation statements)
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“…For other variables, the results are quite conflicting. In some cases, the plant's age seems to exert a negative effect on efficiency, as demonstrated by Fuentes et al (2015) and Molinos-Senante et al…”
Section: Evidence From Prior Studiesmentioning
confidence: 94%
See 3 more Smart Citations
“…For other variables, the results are quite conflicting. In some cases, the plant's age seems to exert a negative effect on efficiency, as demonstrated by Fuentes et al (2015) and Molinos-Senante et al…”
Section: Evidence From Prior Studiesmentioning
confidence: 94%
“…First, the existing studies on WWTP efficiency are limited to specific geographic areas: Spain (Lorenzo-Toja et al, 2015) and, in particular, the Valencia and Catalonia regions (e.g., Hernández-Sancho and Sala-Garrido, 2009;Hernández-Sancho et al, 2011a, 2011bMolinos-Senante et al, 2014a, 2014bSala-Garrido et al, 2011Fuentes et al, 2015). Only two do not involve the Iberian Peninsula: Hsiao et al, (2007) in Taiwan and Frequelli and Giandrone (2003) The evidence from prior literature is consistent when examining some variables, such as size and plant capacity, which positively affect efficiency.…”
Section: Evidence From Prior Studiesmentioning
confidence: 95%
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“…These recent nonparametric methods use only part of the sample to compute efficiency scores, thereby reducing the influence of outliers and extreme observations [18]. They do not face the problem of the "curse of dimensionality" and have important statistical features and interesting econometric interpretations [19], which makes them more robust than the traditional full-frontier nonparametric methods, such as DEA [20] and the non-convex free-disposal hull (FDH) [21].…”
Section: Introductionmentioning
confidence: 99%