School of Management, Wuhan University of Technology, Wuhan 430070, China.
Int J Environ Res Public Health. 2018 Nov 2;15(11):2448. doi: 10.3390/ijerph15112448.
Poor public health is always associated with the mismanagement of municipal solid waste (MSW). Many cities are besieged by MSW in the world. It is essential to do a good job in MSW management (MSWM). In order to improve the efficiency of MSWM, the Chinese government has intensively implemented relevant policies. There are still few studies on MSWM efficiency in China. The research aims to comprehensively analyze MSWM efficiency, find high-efficiency MSWM policy implementation routes and the breakthrough on improving MSWM efficiency. To measure Chinese MSWM efficiency accurately, this paper introduced the three-stage data envelopment analysis (DEA) model into the research. According to the results of DEA, Fuzzy c-Means algorithm was used to the cluster analysis of 33 typical cities. After eliminating the interference of the external environment and random disturbance, the mean value of MSWM efficiency declined from 0.575 to 0.544. The mean of pure technical efficiency (PTE) was declined from 0.966 to 0.611, while the mean of scale efficiency (SE) increased from 0.600 to 0.907. The PTE of central and northeastern cities was relatively low. The SE of western cities was comparatively high and the efficiency distribution of the eastern region was relatively scattered. In general, MSWM efficiency is low and expected to be improved. Regional differences in MSWM efficiency have been shown. The management effectiveness of eight pilot cities (MSW classification) is affirmative but not that significant. To improve MSWM efficiency, differential management for four types of cities should be carried out.
较差的公共卫生状况总是与城市固体废物(MSW)管理不善有关。世界上许多城市都受到 MSW 的困扰。做好 MSW 管理(MSWM)至关重要。为了提高 MSWM 的效率,中国政府密集实施了相关政策。中国关于 MSWM 效率的研究仍然很少。本研究旨在全面分析 MSWM 效率,找到高效的 MSWM 政策实施路径和提高 MSWM 效率的突破口。为了准确衡量中国 MSWM 的效率,本文将三阶段数据包络分析(DEA)模型引入到研究中。根据 DEA 的结果,使用模糊 c 均值算法对 33 个典型城市进行聚类分析。在消除外部环境和随机干扰的干扰后,MSWM 效率的平均值从 0.575 下降到 0.544。纯技术效率(PTE)的平均值从 0.966 下降到 0.611,而规模效率(SE)的平均值从 0.600 增加到 0.907。中部和东北地区城市的 PTE 相对较低。西部地区的 SE 较高,东部地区的效率分布较为分散。总的来说,MSWM 的效率较低,预计还有提升空间。MSWM 效率存在地区差异。八个试点城市(MSW 分类)的管理效果是肯定的,但并不显著。为了提高 MSWM 的效率,应该对四类城市进行差异化管理。