我国能源效率及节能减排潜力的区域特征研究:2008-2012年  

Analysis of Energy Efficiency,Energy Conservation and Emission Reduction Potential in Various Regions of China: 2008- 2012

作　　者：王鸿远[1] 左秀峰[1] 李双杰[2] 

机构地区：[1]北京理工大学管理与经济学院,北京100081 [2]北京工业大学经济与管理学院,北京100022

出　　处：《科技管理研究》2015年第24期220-224,共5页Science and Technology Management Research

基　　金：国家软科学研究计划重大合作项目"我国工业节能减排若干重大问题研究"(2013GXS2B008)

摘　　要：通过建立全要素能源投入产出指标体系,以2008年至2012年我国29个地区的面板数据为基础,利用超效率SBM-DEA模型和Malmquist指数模型对中国各地区的全要素能源效率及节能减排潜力进行测评与区域特征挖掘,研究的结果表明,我国各地区全要素能源效率普遍处于较低水平,大量的能源投入冗余和污染物排放冗余问题亟待解决,技术进步的提高是2008至2012年期间我国各地区提升全要素能源效率的最关键因素,并且能效相关指标存在较大的地域性差异。为了探寻提高中西部地区全要素能源效率的途径,根据全要素能源效率得分、节能潜力和减排潜力对不同类型区域的差异和特征进行K-Means聚类,并针对各个类型的地区提出相应的节能减排建议。Through the establishment of total factor energy input and output index system with 2008- 2012 panel data of China＇s 29 regions,Super- efficiency- SBM- DEA model and Malmquist index model were used to evaluate various regions of China total factor energy efficiency,energy saving potential,emission reduction potential and to excavate the regional characteristics. The results of the study showed that all regions of total factor energy efficiency in our country were generally at a low level,which means lots of problems such as energy and pollutant emissions into redundancy need to be solved. The improvement of technical progress is the most important factor of various regions to enhance total factor energy efficiency during the year from 2008 to 2012,and there are large regional differences of related indicators about energy efficiency. In order to explore the ways to improve the total factor energy efficiency in Midwest,we use K- Means cluster analysis for different regions to identify the characteristics of each region and divide the whole country into several types. On this basis,we put forward some suggestions.

关 键 词：全要素能源效率 数据包络分析 节能减排潜力 MALMQUIST指数 K-MEANS聚类 

分 类 号：F124.5[经济管理—世界经济] F224.7