基于SBM模型的我国省际能源环境效率研究
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引用本文:周四军,陈强,苏文力.基于SBM模型的我国省际能源环境效率研究[J].经济数学,2016,(1):57-64
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作者单位
周四军,陈强,苏文力 (湖南大学 金融与统计学院湖南 长沙410079) 
中文摘要:将SBM模型与四阶段DEA方法结合,研究了我国30个省市地区2004~2012年间省际全要素能源环境效率,同时考察了地区投入与产出松弛量,并对其影响因素进行了深入分析。研究发现:环境约束的影响明显,科学评价能源环境效率必须把环境污染引入全要素能效测度之中;随着时间发展,各省间的效率存在优者愈优、劣者愈劣的两级分化趋势.对松弛量的Tobit回归结果显示:GDP是改善能源环境效率的有利因素,外商直接投资、产业结构以及能源消费结构是其不利因素,技术改进和环境治理对提高效率无显著影响;外部因素差异对能源环境效率有显著地影响,剔除外部因素差异的影响,将使效率能得到有效改善.
中文关键词:环境约束  能源环境效率  SBM模型  四阶段DEA
 
Energy Environmental Efficiency Analysis on Chinese Provincial Regional Based on SBM Model
Abstract:This article combined SBM model and the four-stage DEA method,and evaluated provincial total factor energy environmental efficiency of 30 provinces and cities between 2004~2012 in China.Based on the non-angle and non-radial approach,the study Shows that:①Environmental constraints impose significant impact on energy environmental efficiency,so accurate evaluation of energy environmental efficiency must take environmental pollution comstraints into account.②Over time,energy environmental efficiency diplays kind of tide that "the higher score region getting higher,and lower score getting lower".③The amount of slack in the Tobit regression results show that GDP is a favorable factor for improving the energy environment efficiency,whill Foreign direct investment,industrial structure and energy consumption is unfavorable factors, and technological improvements and environmental management have no significant effect on efficiency.④Four-stage DEA results indicate that external factors have a significant impact on the energy environmental efficiency, and efficiency can be effectively improved if we can eliminate the impact of external factor to create a relatively fair environment.
keywords:Energy Environmental Efficiency  Environmental constraints  SBM model  Four-stage DEA method
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