| Title | Assessing efficiency of urban waste services and the role of tariff in a circular economy perspective: An empirical application for Italian municipalities |
|---|---|
| ID_Doc | 4437 |
| Authors | Lombardi, GV; Gastaldi, M; Rapposelli, A; Romano, G |
| Title | Assessing efficiency of urban waste services and the role of tariff in a circular economy perspective: An empirical application for Italian municipalities |
| Year | 2021 |
| Published | |
| Abstract | Since the previous decade, there has been an increasing awareness regarding the crucial role of waste management efficiency in ensuring health and environmental protection and the transition toward circular economy objectives. This empirical study investigates the efficiencies of urban waste systems in 78 major Italian towns between 2014 and 2018, taking into account the waste reduction and recycling targets indicated by European circular economy strategy. To this end, we employed the nonparametric approach to measure efficiency, namely the data envelopment analysis (DEA) model. Two DEA models to account for both constant and variable returns to scale were performed. An undesirable output (the total amount of waste collected) was included in the analysis as an input to account for waste reduction targets. Moreover, efficiency scores obtained through the DEA analysis were investigated in relation to relevant variables, along with the already studied variables, such as geographic localization, population density, and the aging index. We also included the tariff paid for waste services and the collection method. The estimated efficiency scores showed significant differences across all the evaluated municipalities, with a promising average growth. We find that the Northern and Central major towns have higher efficiency than the Southern and Island towns. Moreover, efficiency is higher for more densely populated towns and towns with a higher elderly rate. Further, efficiency is higher when the average tariff applied is lower and when door-to-door collection is in force. Finally, the collection method emerges as a crucial issue in ensuring the transition toward circular economy in the urban waste sector. |
Similar Articles
| ID | Score | Article |
|---|---|---|
26153
|
Ferraro, A; Garofalo, A; Marchesano, K Measuring differences in efficiency in waste collection and disposal services from the EU targets in Campania municipalities(2023)Environmental And Ecological Statistics, 30, 1 | |
| 1291
|
Agovino, M; Cerciello, M; Javed, A; Rapposelli, A Environmental legislation and waste management efficiency in Italian regions in view of circular economy goals(2023) | |
| 26102
|
Daraio, C; Di Leo, S; Simar, L Viable eco-efficiency targets for waste collection communities(2024)Scientific Reports, 14, 1 | |
| 1613
|
Di Foggia, G; Beccarello, M Designing waste management systems to meet circular economy goals: The Italian case(2021) | |
| 21423
|
Chioatto, E; Fedele, A; Liscio, MC; Sospiro, P Testing data envelopment analysis models on the performance of European Union regions in sustainable waste management(2024) | |
| 4668
|
Zeller, V; Towa, E; Degrez, M; Achten, WMJ Urban waste flows and their potential for a circular economy model at city-region level(2019) | |
| 16356
|
Bertanza, G; Mazzotti, S; Gomez, FH; Nenci, M; Vaccari, M; Zetera, SF Implementation of circular economy in the management of municipal solid waste in an Italian medium-sized city: A 30-years lasting history(2021) | |
| 8447
|
Barchiesi, MA; Costa, R; Di Pillo, F The Link between the Compliance with Environmental Legislation on Separate Collection and the Municipal Solid Waste Costs(2022)Sustainability, 14.0, 9 | |
| 9103
|
Delgado-Antequera, L; Gémar, G; Molinos-Senante, M; Gómez, T; Caballero, R; Sala-Garrido, R Eco-efficiency assessment of municipal solid waste services: Influence of exogenous variables(2021) | |
| 21848
|
Molinos-Senante, M; Maziotis, A; Sala-Garrido, R; Mocholi-Arce, M The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach(2023)Waste Management & Research, 41.0, 5 |