摘要
根据我国内地30个省(市/区)(因数据不全,不含西藏)1990-2009年工业能源利用效率的相关投入与产出数据,运用协整理论选取投入变量、产出变量,并利用误差修正模型(ECM)和VAR脉冲响应函数,从短期和长期两个方面,研究能源效率及其影响因素的互动机制。基于DEA模型,综合测度了各个地区的工业能源利用技术效率、规模效率。结果表明:工业总产值对石油和煤炭的弹性高达2.509和2.263,石油和煤炭是工业总产值提高的内在驱动力;我国内地30个省市的工业能源利用效率存在不平衡性,出现技术效率和规模效率的"高低型"和"低高型",西部地区存在巨大提升空间。
According to input and output data related to industrial energy use efficiency of China＇s 30 provinces （cities / regions） （Because the data is not complete, so do not contain Tibet） from 1990 to 2009, first cointegration theory is applied to select input variable and output variable, and its interaction mechanism between energy efficiency and influencing factors is studied, using error correction model （ECM） and the VAR impulse response function, from both the short and long term. Then based on DEA （Data Envelopment Analysis） model, the technical efficiency and scale efficiency of industrial energy use in various regions are measured comprehensively. The results show. the oil and coal elasticity of total industrial output value are as high as 2. 509 and 2. 263 . Oil and coal are the internal driving force of total industrial output value im- provement; there is imbalance in the industrial energy use efficiency of China＇s 30 provinces, the ＂low-high ＂and ＂low-high＂ of technical efficiency and scale efficiency emerge, and especially there is a huge room for the western region to improve.
出处
《科技进步与对策》
CSSCI
北大核心
2012年第20期124-130,共7页
Science & Technology Progress and Policy
基金
北京工业大学科技基金项目(ykj-2011-5698)
北京工业大学科技创新平台项目(0110005466009)
北京市创新环境与服务体系建设项目(Z111108055011019)
关键词
能源效率
协整理论
DEA
技术效率
规模效率
Energy Efficiency
Co-integration Theory
DEA
Technical Efficiency
Scale Efficiency
