论文部分内容阅读
运用一种单要素和两种全要素DEA分析方法,以及Malmquist指数,对2002—2007年我国71座城市工业用电的静态和动态效率进行了比较分析。结果表明:1.全要素指标特别是综合DEA效率指标能够更好地解释城市工业用电效率。2.我国城市工业用电的总体效率逐年提高,区域间的用电效率在逐步趋同,环渤海和东北老工业基地的用电效率变动要好于长三角和珠三角地区。3.城市工业用电的规模效率已趋于最优。4.本文运用Tobit模型对工业用电效率的主要影响因素所做的计量检验表明,企业R&D比重每增长1%,电力效率提高6%;人均用电系数每增长1%,电力效率提高17%;出口每增长1%,电力效率下降0.59%;财政支出占GDP比重每增加1%,电力效率下降0.32%。
The static and dynamic efficiencies of industrial electricity in 71 cities of China from 2002 to 2007 were compared by using a single factor and two total factor DEA methods and Malmquist index. The results show that: 1. The total factor index, especially the comprehensive DEA efficiency index, can better explain the urban industrial electricity efficiency. 2. The overall efficiency of urban industrial electricity in China has been increasing year by year. The efficiency of electricity use in different regions is converging gradually. The change of electricity consumption efficiency in the Bohai Rim and northeast old industrial bases is better than that in the Yangtze River Delta and Pearl River Delta. 3. The scale of urban industrial electricity consumption has become the most efficient. In this paper, the Tobit model is used to measure the main influence factors of industrial electricity consumption. The test results show that for every 1% increase in the proportion of R & D, the power efficiency increases by 6%; for every 1% increase in the electricity consumption per capita, the power efficiency increases by 17% ; For every 1% increase in exports, electricity efficiency decreased by 0.59%; and for each additional 1% increase in fiscal expenditure to GDP, electricity efficiency decreased by 0.32%.