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The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach
Eco-efficiency assessment of municipal solid waste (MSW) suppliers is a useful tool in the transition to a circular economy. Furthermore, it provides evidence of the economic and environmental performance of municipalities that can be used for decision-making and/or elaboration of regulatory policie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170579/ https://www.ncbi.nlm.nih.gov/pubmed/36544368 http://dx.doi.org/10.1177/0734242X221142223 |
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author | Molinos-Senante, Maria Maziotis, Alexandros Sala-Garrido, Ramón Mocholi-Arce, Manuel |
author_facet | Molinos-Senante, Maria Maziotis, Alexandros Sala-Garrido, Ramón Mocholi-Arce, Manuel |
author_sort | Molinos-Senante, Maria |
collection | PubMed |
description | Eco-efficiency assessment of municipal solid waste (MSW) suppliers is a useful tool in the transition to a circular economy. Furthermore, it provides evidence of the economic and environmental performance of municipalities that can be used for decision-making and/or elaboration of regulatory policies. In this study, eco-efficiency scores were computed for a sample of 140 Chilean municipalities in the provision of MSW services. In doing so, the stochastic semi-parametric envelopment of data method was applied. It is a novel technique which overcomes the limitations of parametric (stochastic frontier analysis) and non-parametric (data envelopment analysis) methods previously employed to evaluate the eco-efficiency of MSW services. The average eco-efficiency of the 140 assessed municipalities was 0.332 which indicates that they could save 66.8% of their operational costs and recycling the same amount of waste. Moreover, 61.4% of the evaluated municipalities presented an eco-efficiency score which was lower than 0.4, whereas the other municipalities (38.6% of the sample) exhibited an eco-efficiency which raged between 0.4 and 0.80. Hence, none of the municipalities assessed was identified as eco-efficient which, implies that there is room for all municipalities to reduce operational costs in the management of MSW. Population density, tourism and location of the municipality were identified as factors influencing the eco-efficiency of the municipalities in MSW management. |
format | Online Article Text |
id | pubmed-10170579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101705792023-05-11 The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach Molinos-Senante, Maria Maziotis, Alexandros Sala-Garrido, Ramón Mocholi-Arce, Manuel Waste Manag Res Original Articles Eco-efficiency assessment of municipal solid waste (MSW) suppliers is a useful tool in the transition to a circular economy. Furthermore, it provides evidence of the economic and environmental performance of municipalities that can be used for decision-making and/or elaboration of regulatory policies. In this study, eco-efficiency scores were computed for a sample of 140 Chilean municipalities in the provision of MSW services. In doing so, the stochastic semi-parametric envelopment of data method was applied. It is a novel technique which overcomes the limitations of parametric (stochastic frontier analysis) and non-parametric (data envelopment analysis) methods previously employed to evaluate the eco-efficiency of MSW services. The average eco-efficiency of the 140 assessed municipalities was 0.332 which indicates that they could save 66.8% of their operational costs and recycling the same amount of waste. Moreover, 61.4% of the evaluated municipalities presented an eco-efficiency score which was lower than 0.4, whereas the other municipalities (38.6% of the sample) exhibited an eco-efficiency which raged between 0.4 and 0.80. Hence, none of the municipalities assessed was identified as eco-efficient which, implies that there is room for all municipalities to reduce operational costs in the management of MSW. Population density, tourism and location of the municipality were identified as factors influencing the eco-efficiency of the municipalities in MSW management. SAGE Publications 2022-12-21 2023-05 /pmc/articles/PMC10170579/ /pubmed/36544368 http://dx.doi.org/10.1177/0734242X221142223 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Molinos-Senante, Maria Maziotis, Alexandros Sala-Garrido, Ramón Mocholi-Arce, Manuel The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach |
title | The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach |
title_full | The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach |
title_fullStr | The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach |
title_full_unstemmed | The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach |
title_short | The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach |
title_sort | eco-efficiency of municipalities in the recycling of solid waste: a stochastic semi-parametric envelopment of data approach |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170579/ https://www.ncbi.nlm.nih.gov/pubmed/36544368 http://dx.doi.org/10.1177/0734242X221142223 |
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