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基于DEA—Tobit模型的中国省际能源效率影响因素分析
引用本文:夏玲,樊宏,吴万水,朱帮助.基于DEA—Tobit模型的中国省际能源效率影响因素分析[J].五邑大学学报(自然科学版),2012(4):47-52,71.
作者姓名:夏玲  樊宏  吴万水  朱帮助
作者单位:五邑大学经济与管理学院
基金项目:国家自然科学基金资助项目(No.71201010);国家博士后科学基金特别资助项目(201104057);广东省自然科学基金资助项目(S2011010001591);江门市科技计划(江财工[2010]131号;江财工[2010]210号);五邑大学青年教师基金资助项目(201105250949364)
摘    要:结合能源效率的内涵与特点,构建以能源消费总量、从业人数以及资本存量为投入指标,GDP和环境影响(非期望产出)为产出指标的能源效率评价指标体系;用超效率DEA方法建立了能源效率评价模型,并评价了2003—2010年我国30个省市的能源效率.运用Tobit模型对我国能源效率的关键影响因素进行了计量分析,结果表明:第二产业占GDP的比重与能源效率负相关,技术进步、经济发展水平、进口依存度与能源效率正相关.

关 键 词:能源效率  超效率DEA  Tobit模型

The Influence Factors Analysis of Chinese Provincial Energy Efficiency Based on DEA-Tobit Model
XIA Ling,FAN Hong,WU Wan-shui,ZHU Bang-zhu.The Influence Factors Analysis of Chinese Provincial Energy Efficiency Based on DEA-Tobit Model[J].Journal of Wuyi University(Natural Science Edition),2012(4):47-52,71.
Authors:XIA Ling  FAN Hong  WU Wan-shui  ZHU Bang-zhu
Institution:(School of Economics and Management,Wuyi University,Jiangmen 529020,China)
Abstract:Based on the connotation and characteristics of the energy efficiency, an energy efficiency evaluation index system that based on total energy consumption, working stuff population and capital stock as input index, GDP and environmental impact (the unexpected outputs) as output index is proposed. The energy efficiency evaluation model is established by using super-efficiency DEA method. 30 provinces and cities' energy efficiency in China from 2003 to 2010 is evaluated. The key impacts of energy efficiency are analyzed by using Tobit model. The results show that: the percentage of the second industry in GDP has a negative correlation with energy efficiency, while the aspects of technological progress, economic development level and the import dependence have a positive correlation with energy efficiency.
Keywords:energy efficiency  super-efficiency DEA  Tobit model
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