灰霾环境下能源效率测算与节能减排潜力分析-基于多非期望产出的NH-DEA模型

考虑到现有能源效率测算未把灰霾作为环境约束这一问题，基于非参数前沿构建了不可分的混合测度DEA 模型，将致霾污染物SO₂、NOx、CO₂和烟（粉）尘作为非期望产出，对各省份2010-2013年灰霾环境约束下的能源效率进行了更加科学的测算，结果发现：我国省际能源效率差异比较大；东部平均能源效率最高，中部次之，西部最差；我国整体的能源效率为0.63。通过Tobit 模型对能源效率的影响因素进行分析，发现能源禀赋、产业结构、政府影响力和能源效率呈显著的负相关关系，技术进步和能源效率呈显著正相关关系，各因素对我国区域间的影响程度存在差异。在节能减排潜力方面，我国各省份的能源节约潜力和致霾污染物减排潜力都很大。这些结果有助于制定能源节约和灰霾治理规划。

Energy Efficiency Calculation and Analysis on Potentials of Energy Conservation and Emissions Reduction under Haze Environment-Based on the NH-DEA Model of Multiple Undesirable Output

Considering the current energy efficiency calculation hasn't included the grey haze as the environmental constraint, a Nonseparable Hybrid DEA Model is constructed based on the non-parametric frontier. Taking SO₂, NOx, CO₂, smoke(dust) who cause haze as undesirable output of energy consumption, the provincial energy efficiency in 2010-2013 under haze environment constraint is measured more scientific. The result suggests that: difference of provincial energy in China is significant; energy efficiency in the eastern China is the highest, followed by central China and western China is the worst; the overall energy efficiency in China is 0.63. Then the influence factors of energy efficiency are analyzed through Tobit model and it is found that energy endowment, industrial structure, the government influence have significant negative effect on energy efficiency, and technological progress has significantly positive effect on energy efficiency. The influence degrees of various factors varies on eastern, central, western China are different. From the perspective of energy conservation and emissions reduction potential, potential of energy saving and pollutants caused haze reduction are both huge. Research results will help different provinces to establish energy saving and gray haze management planning.