数据包络分析
城市固体废物
模糊逻辑
度量(数据仓库)
服务(商务)
效率
环境经济学
业务
计算机科学
废物管理
工程类
统计
数学
经济
数据挖掘
营销
人工智能
估计员
标识
DOI:10.1016/j.jup.2023.101706
摘要
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 environment. 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI