In the last decades, evaluating the performance of municipal solid waste (MSW) service has attracted the interest of scholars and policymakers worldwide. This study adopts a generalized directional distance function (GDDF) data envelopment analysis (DEA) model to measure the eco-efficiency of 94 Apulian municipalities providing MSW service over 2019–2021. The model uses the α-cut method to handle missing data in a fuzzy DEA envi ronment. During the period covered by the research, on average, the MSW eco-efficiency was between 0.825 and 0.879. The MSW separate collection rate is the only factor significantly affecting the MSW eco-efficiency.
Measuring the eco-efficiency of municipal solid waste service: A fuzzy DEA model for handling missing data / LO STORTO, Corrado. - In: UTILITIES POLICY. - ISSN 0957-1787. - 86:(2024), p. 101706. [10.1016/j.jup.2023.101706]
Measuring the eco-efficiency of municipal solid waste service: A fuzzy DEA model for handling missing data
Corrado lo Storto
Primo
2024
Abstract
In the last decades, evaluating the performance of municipal solid waste (MSW) service has attracted the interest of scholars and policymakers worldwide. This study adopts a generalized directional distance function (GDDF) data envelopment analysis (DEA) model to measure the eco-efficiency of 94 Apulian municipalities providing MSW service over 2019–2021. The model uses the α-cut method to handle missing data in a fuzzy DEA envi ronment. During the period covered by the research, on average, the MSW eco-efficiency was between 0.825 and 0.879. The MSW separate collection rate is the only factor significantly affecting the MSW eco-efficiency.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
