摘要
环境污染指标的重要性差异和信息完整性是区域环境污染强度测算及其分类治理效率评价中的两个重要因素.为此,文章先基于CCSD方法对环境污染指标进行赋权,以凸显不同指标间的重要性差异;再基于ER模型对环境污染指标进行合成,以保证在测算环境污染强度时考虑指标的信息完整性;最后,还基于考虑非期望产出的SBM模型对环境污染分类治理进行效率评价.通过对中国内地各个省份在2006年至2016年间的区域环境污染强度测算及其分类治理效率评价的实例分析,可以发现:1)各省份在不同分类下的环境污染强度存在显著差异,其中多数省份的环境问题集中于水污染或空气污染;2)根据污染强度评价等级的空间分布,污染最为严重的地区主要集中于中部地区和东部的沿海地区,而西部地区的环境污染程度较低;3)基于分类考虑和指标合成的研究结果更符合各省份实际的环境治理状况,且更有利于不同省份环境治理效果差异的对比分析.
The different importance and information completeness of environmental pollution indicators are two important factors for the calculation of regional environmental pollution intensity and the efficiency evaluation of classified governance.Therefore,the CCSD method is firstly introduced to highlight the importance of different indicators,and synthesizes indicators based on the ER model is used to assure the information completeness of environmental indicators in the calculation of environmental pollution intensity.Finally,the SMB undesirable output model is applied to evaluate the efficiency of classified environmental pollution governance.In the case we study about pollution intensity evaluation and its efficiency evaluation of classified governance for the environmental pollution of the provinces in the Mainland of China from 2006 to 2016 and evaluate the efficiency of classified governance,which shows that:1)There are significant differences in the intensity of environmental pollution in different provinces,and most of them focus on water or air pollutions;2)According to the spatial distribution of pollution intensity evaluation grade,the most serious pollution are mainly concentrated in the central and eastern coastal areas,but the degree of environmental pollution in the western region is relatively low;3)The results based on the classification consideration and indicator synthesis are more in line with the actual environmental governance,and it is more conducive to the comparative analysis of environmental governance efficiency in different provinces.
作者
叶菲菲
杨隆浩
王应明
YE Feifei;YANG Longhao;WANG Yingming(Decision Sciences Institute,Fuzhou University,Fuzhou 350116;Key Laboratory of Spatial Data Mining&Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350116)
出处
《系统科学与数学》
CSCD
北大核心
2020年第6期984-1003,共20页
Journal of Systems Science and Mathematical Sciences
基金
国家自然科学基金(61773123)
福建省社会科学规划青年项目(FJ2019C032,FJ2018C014)
教育部人文社科青年项目(20YJC630188,19YJC630022)资助课题。
关键词
区域环境
指标赋权
污染强度测算
分类治理
效率评价
Regional environment
index weighting
pollution intensity estimation
Classified Governance
efficiency evaluation
