基于DEA的电力行业环境绩效测度模型

为准确测度电力行业造成的环境影响，在距离函数数据包络分析（DEA）环境绩效评价模型的基础上，引入投入、期望产出和非期望产出的松弛变量，建立归一化的综合绩效评价模型.针对电力行业因区域间电量交换造成的投入和产出不匹配问题，提出电力行业静态和动态环境绩效指标评价方法，为深入分析电力行业环境绩效的变化规律以及影响因素提供方法.应用提出的模型，分析2006-2010年中国30个省份的电力行业环境绩效，结果表明：高用电环境效率的省份通常拥有较高的发电环境效率，火电发电比例是影响电力行业环境绩效的重要因素；在研究期内中国电力行业环境绩效逐步改善；环境技术进步是改善电力行业环境绩效的最主要因素.

Environmental Performance Measurement of Power Sector Based on Data Envelopment Analysis

The power sector may have great influence on environmental performance, which has to be monitored and evaluated. Based on a DEA environmental performance evaluation model, this article utilized slack variables of input, desired output and undesirable output to build a normalized general performance evaluation model. The power exchange between areas makes input and output of the power sector unmatched and thus difficult for further calculation. To solve this, the static and dynamic model of environmental performance was proposed. It provided methodology for the further analysis on patterns of environmental performance in power sector and influential factors. The proposed models were applied to analyze the environmental performance of the power sector of 30 provinces in China from 2006-2010. The results have shown that provinces with higher consumption eco-efficiency often present higher generation eco-efficiency; the proportion of thermal power is a key factor to environmental performance of the power sector; the developed provinces and provinces with a low proportion of thermal power have better scores in relative eco-efficiency; the environmental performance of the power sector in China keeps improving during the investigation time period; and the development of environmental technology is the main contributor to environmental performance improvement.