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| 基于DEA模型的区域削减指标分配研究 | |
| 引用本文： | 郑佩娜,陈海波,陈新庚,周冬柏,张音波.基于DEA模型的区域削减指标分配研究[J].环境工程学报,2007,1(11):133-139. |
| 作者姓名： | 郑佩娜 陈海波 陈新庚 周冬柏 张音波 |
| 作者单位： | 1. 中山大学环境科学与工程学院,广州,510275;广州军区工程环境质量监督站,广州,510507 2. 广州市建设委员会,广州,510030 3. 中山大学环境科学与工程学院,广州,510275 4. 广州军区工程环境质量监督站,广州,510507 |
| 摘 要： | 运用数据包络分析(DEA)方法,建立了区域削减指标分配模型,综合分析了2005年全国31个省、市、自治区的主要污染物COD和SO2排放绩效以及水资源、能源的利用效率.分析表明,我国COD、SO2的排放效率、水资源和能源的利用效率比较低,节水节能减排的潜力很大.根据效率原则,得到了全国各地区节能节水减排的削减指标分配表. |
| 关 键 词： | DEA模型 削减指标 分配 |
| 文章编号： | 1673-9108（2007）11-0133-07 |
| 修稿时间： | 2007-05-20 |
Study on distribution of reduction targets based on DEA model |
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| Zheng Pein,Chen Haibo,Chen Xingeng,Zhou Dongbai and Zhang Yinbo.Study on distribution of reduction targets based on DEA model[J].Techniques and Equipment for Environmental Pollution Control,2007,1(11):133-139. | |
| Authors: | Zheng Pein Chen Haibo Chen Xingeng Zhou Dongbai and Zhang Yinbo |
| Institution: | 1. School of Environmental Science & Engineering, Sun Yat-Sen University, Guangzhou 510275; 2. The Constructional and Environmental Quality Supervising Station of Guangzhou Military Region, Guangzhou 510507,3.Guangzhou Municipal Construction Committee, Guangzhou 510030,1. School of Environmental Science & Engineering, Sun Yat-Sen University, Guangzhou 510275,2. The Constructional and Environmental Quality Supervising Station of Guangzhou Military Region, Guangzhou 510507 and 1. School of Environmental Science & Engineering, Sun Yat-Sen University, Guangzhou 510275 |
| Abstract: | A model for distribution of regional emission reduction indices was established by using data envelopment analysis (DEA).The emission efficiency of main pollutants such as COD and SO2 and utilization efficiency of water resource and energy for 31 provinces,municipalities and autonomous regions in China for the year of 2005 were comprehensively analyzed.The analytical results show that emission efficiency of COD and SO2 and utilization efficiency of water resource and energy are relatively low,the potentials of energy saving and water saving are great. |
| Keywords: | DEA model reduction targets distribution |
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