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Title Eco-efficiency assessment of municipal solid waste services: Influence of exogenous variables
ID_Doc 9103
Authors Delgado-Antequera, L; Gémar, G; Molinos-Senante, M; Gómez, T; Caballero, R; Sala-Garrido, R
Title Eco-efficiency assessment of municipal solid waste services: Influence of exogenous variables
Year 2021
Published
DOI 10.1016/j.wasman.2021.05.022
Abstract Improving the eco-efficiency of municipalities in the provision of municipal solid waste (MSW) services is fundamental in the context of a circular economy. This study evaluates the eco-efficiency of a sample of Spanish municipalities, integrating the total cost as input, recyclable waste as desirable output, and unsorted waste as undesirable output. Following a pioneering approach, the weighted Russell directional distance model (a non-radial data envelopment analysis model) was employed, which allowed us to obtain a global inefficiency score and individual inefficiency scores for each variable integrated in the model. In the second stage of analysis, the potential factors affecting the previously computed ineffi-ciency scores were investigated. The results indicated that one third of the municipalities evaluated were eco-efficient in the provision of MSW services with the total cost being the variable in which the munic-ipalities exhibited the best performance. Moreover, the size of the municipalities, population served, pop-ulation density, tourism, and availability of containers for separative collection of paper, glass, and plastic significantly affect the eco-efficiency of the municipalities. The findings of this study provide detailed information to support decision-making for the policy makers to improve the eco-efficiency of the munic-ipalities in managing MSW. (c) 2021 Elsevier Ltd. All rights reserved.
Author Keywords Eco-efficiency; Directional distance function; DEA; Municipal solid waste; Waste recycling; Benchmarking
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000663799900015
WoS Category Engineering, Environmental; Environmental Sciences
Research Area Engineering; Environmental Sciences & Ecology
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