基于数据包络分析的中国污染地块治理绩效评价研究  

Performance evaluation of contaminated site treatment in China based on data envelope analysis

作　　者：姜芳茗 钱嘉曙 陈健松 张清宇[1] 唐阔 蒋洪强 蒋超 邓劲松[1,2] JIANG Fangming;QIAN Jiashu;CHEN Jiansong;ZHANG Qingyu;TANG Kuo;JIANG Hongqiang;JIANG Chao;DENG Jingsong(College of Environmental and Resource Sciences,Zhejiang University,Hangzhou Zhejiang 310058;Zhejiang Ecological Civilization Academy,Huzhou Zhejiang 313300;Zhejiang Hangzhou Ecological and Environmental Monitoring Center,Hangzhou Zhejiang 310012;Technical Centre for Soil,Agricultural and Rural Ecology and Environment,Ministry of Ecology and Environment,Beijing 100012;Chinese Academy of Environmental Planning,Beijing 100012)

机构地区：[1]浙江大学环境与资源学院,浙江杭州310058 [2]浙江生态文明研究院,浙江湖州313300 [3]浙江省杭州生态环境监测中心,浙江杭州310012 [4]生态环境部土壤与农业农村生态环境监管技术中心,北京100012 [5]生态环境部环境规划院,北京100012

出　　处：《环境污染与防治》2024年第4期608-612,共5页Environmental Pollution & Control

基　　金：国家重点研发计划项目(No.2020YFC1807501);浙江省“尖兵”“领雁”研发攻关计划项目(No.2022C03078)。

摘　　要：中国高速的城市化进程产生了大量工业企业搬迁,造成众多污染地块需要治理。中国为治理污染地块耗资巨大,但缺乏相关的绩效评价。筛选了40个典型污染地块治理工程(涉及全国33个区县)进行绩效评价并探究了污染地块治理绩效的影响因素。结果表明:(1)山东省、河北省及湖南省中南部地区的污染地块治理绩效较高,重庆市、湖南省等华中地区及东南沿海地区零星有一些污染地块治理绩效相对较低。(2)地块尺度,资金投入不足、时间投入过短、人员投入过少是影响污染地块治理绩效的重要因素,期望产出方面也仍有很大提升空间,非期望产出方面需要进一步控制污染排放。(3)区县尺度,污染地块治理绩效主要与工业增加值占国内生产总值比例和年末总人口呈显著(p<0.05)正相关,说明经济和人口是主要影响因素。Rapid urbanization process in China is accompanied by a relocation of a large number of industrial enterprises,resulting in a large number of contaminated sites to treat.China has spent a lot of money in treating contaminated sites,but there is a lack of relevant performance evaluation.This paper selected 40 typical contaminated site treatment projects(distributed in 33 counties)to evaluate the performance,and analyzed the influencing factors of the contaminated site treatment performance.Results showed that:(1)the performance in areas of Shandong,Hebei and centre and south of Hunan was good,but the performance in several areas of southeast and central China like Chongqing and Hunan was relatively not so good.(2)At the site scale,insufficient investment of capital,time and staff were important factors to influence contaminated site treatment performance.Moreover,expected output still needed to improve,and unexpected output needed to control pollution discharge.(3)At the county scale,contaminated site treatment performance had significant positive correlation with the rate of industrial added value to gross domestic product and year-end total population(p<0.05),indicating that economic and population were important influecing factors.

关 键 词：数据包络分析 超效率松弛变量的测度模型 污染地块治理 绩效评价 

分 类 号：X53[环境科学与工程—环境工程]