环境约束下长江经济带工业能源环境效率差异评价与成因识别研究
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摘要
用融合径向与非径向距离函数特征的EBM方法测度环境约束下长江经济带9省2市的工业能源环境效率,借助效率核密度图和技术分解分析效率随时间的演变趋势和空间差异;继而利用泰尔熵量化区域工业能源环境效率的总体差距,并将其分解结果运用于地区差异的成因识别中。研究结果显示,长江经济带工业能源环境效率普遍偏低,在经历短暂的上升期后,近年来持续走低,规模效率下降是主要原因;研究期内区域工业能源环境效率的总体差距逐渐缩小,区域间差距仍为驱动总体差距的主导因素,缩小上游区域内差距显得尤为重要。
In this paper, we first measure the industrial environmental energy efficiency of the 9 provinces and 2 cities of the Yangtze River Economic Belt under the constraint of environment by using the EBM method which combines the radial and non-radial distance functions together, analyzing the evolution trend in time and spatial difference of efficiency by means of nuclear density map and technology decomposition. Then Theil entropy is used to quantify the overall gap between the efficiency of each province of the Yangtze River Economic Belt. And its decomposition results are applied to identify the causes of regional differences.The research results show that the industrial environmental energy efficiency of the Yangtze River Economic Belt is generally at a low level; after a short period of rising, it has been decreasing sharply in recent years and the fall in scale efficiency may be the main contribute. The overall gap between the IEEE of the Yangtze River Economic Belt in the study period is narrowing, and the gap between regions is still the dominant factor in it.Narrowing the gap in the upstream area cannot be ignored.
In this paper, we first measure the industrial environmental energy efficiency of the 9 provinces and 2 cities of the Yangtze River Economic Belt under the constraint of environment by using the EBM method which combines the radial and non-radial distance functions together, analyzing the evolution trend in time and spatial difference of efficiency by means of nuclear density map and technology decomposition. Then Theil entropy is used to quantify the overall gap between the efficiency of each province of the Yangtze River Economic Belt. And its decomposition results are applied to identify the causes of regional differences.The research results show that the industrial environmental energy efficiency of the Yangtze River Economic Belt is generally at a low level; after a short period of rising, it has been decreasing sharply in recent years and the fall in scale efficiency may be the main contribute. The overall gap between the IEEE of the Yangtze River Economic Belt in the study period is narrowing, and the gap between regions is still the dominant factor in it.Narrowing the gap in the upstream area cannot be ignored.
引文
[1]PATTERSON M. What is energy efficiency? :concepts,indicators and methodological issues [J].Energy Policy,1996,24(5):377-390.
[2]DURO J A. The international distribution of energy intensities :some synthetic results [J].Energy Policy,2015,83(2):257-266.
[3]LIDDLE B. OECD energy intensity [J].Energy Efficiency,2012(5):583-597.
[4]史丹.中国能源效率的地区差异与节能潜力分析[J].中国工业经济,2006(10):49-58.
[5]张少华,蒋伟杰.基于ISP指数的中国能源生产率再测度与分解研究[J].数量经济技术经济研究,2014,31(6):55-73.
[6]王许亮,王恕立.服务业能源生产率变迁及收敛性分析:基于全球40个经济体细分行业数据的经验研究[J].数量经济技术经济研究,2018,35(1):42-59.
[7]HU J L,WANG S C. Total-factor energy efficiency of regions in China [J].Energy Policy,2006,34(17):3206-3217.
[8]魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的省际数据比较[J].数量经济技术经济研究,2007(9):110-121.
[9]孙广生,杨先明,黄祎.中国工业行业的能源效率(1987—2005):变化趋势、节能潜力与影响因素研究[J].中国软科学,2011(11):29-39.
[10]张志辉.中国区域能源效率演变及其影响因素[J].数量经济技术经济研究,2015,32(8):73-88.
[11]冉启英,周辉.环境约束下农业全要素能源效率研究:基于SBM-TOBIT模型[J].经济问题,2017(1):103-109.
[12]陈诗一.中国工业分行业统计数据估算:1980-2008[J].经济学(季刊),2011,10(3):735-776.
[13]黄德春,董宇怡,刘炳胜.基于三阶段DEA模型中国区域能源效率分析[J].资源科学,2012,34(4):688-695.
[14]CHARNES A,COOPER W W,RHODES E. Measuring the efficiency of decision making units [J].European Journal of Operational Research,1978,2(6):429-444.
[15]CHUNG Y H,FARE R,GROSSKOPF S. Productivity and undesirable outputs:a directional distance function approach[J]. Journal of Environmental Management,1997,51(3):229-240.
[16]岳立,杨帆.“丝绸之路经济带”框架下中国与中亚五国能源效率评价:基于CCR-BCC和Malmquist指数分析方法的DEA-Tobit模型[J].统计与信息论坛,2016,31(6):37-43.
[17]于洪丽.长江经济带省域绿色能源效率水平的测度[J].统计与决策,2017(8):59-62.
[18]ZHOU P,ANG B W,WANG H. Energy and CO2 emission performance in electricity generation:anon-radial directional distance function approach[J]. European Journal of Operational Research,2012,221(3):625-635.
[19]林伯强,刘泓汛.对外贸易是否有利于提高能源环境效率:以中国工业行业为例[J].经济研究,2015,50(9):127-141.
[20]李峰,何伦志.碳排放约束下我国全要素能源效率测算及影响因素研究[J].生态经济,2017,33(5):35-41.
[21]张星灿,曹俊文.雾霾约束下的长江经济带能源效率的空间差异研究[J].科技与经济,2018,31(4):106-110.
[22]田泽,严铭,顾欣.碳约束下长江经济带区域节能减排效率时空分异研究[J].软科学,2016,30(12):38-42.
[23]TONE K,TSUTSUI M. An epsilon-based measure of efficiency in DEA:a third pole of technical efficiency [J]. European Journal of Operational Research,2010(207):1554-1563.
[24]王群伟,周鹏,周德群.我国二氧化碳排放绩效的动态变化、区域差异及影响因素[J].中国工业经济,2010(1):45-54.
[2]DURO J A. The international distribution of energy intensities :some synthetic results [J].Energy Policy,2015,83(2):257-266.
[3]LIDDLE B. OECD energy intensity [J].Energy Efficiency,2012(5):583-597.
[4]史丹.中国能源效率的地区差异与节能潜力分析[J].中国工业经济,2006(10):49-58.
[5]张少华,蒋伟杰.基于ISP指数的中国能源生产率再测度与分解研究[J].数量经济技术经济研究,2014,31(6):55-73.
[6]王许亮,王恕立.服务业能源生产率变迁及收敛性分析:基于全球40个经济体细分行业数据的经验研究[J].数量经济技术经济研究,2018,35(1):42-59.
[7]HU J L,WANG S C. Total-factor energy efficiency of regions in China [J].Energy Policy,2006,34(17):3206-3217.
[8]魏楚,沈满洪.能源效率与能源生产率:基于DEA方法的省际数据比较[J].数量经济技术经济研究,2007(9):110-121.
[9]孙广生,杨先明,黄祎.中国工业行业的能源效率(1987—2005):变化趋势、节能潜力与影响因素研究[J].中国软科学,2011(11):29-39.
[10]张志辉.中国区域能源效率演变及其影响因素[J].数量经济技术经济研究,2015,32(8):73-88.
[11]冉启英,周辉.环境约束下农业全要素能源效率研究:基于SBM-TOBIT模型[J].经济问题,2017(1):103-109.
[12]陈诗一.中国工业分行业统计数据估算:1980-2008[J].经济学(季刊),2011,10(3):735-776.
[13]黄德春,董宇怡,刘炳胜.基于三阶段DEA模型中国区域能源效率分析[J].资源科学,2012,34(4):688-695.
[14]CHARNES A,COOPER W W,RHODES E. Measuring the efficiency of decision making units [J].European Journal of Operational Research,1978,2(6):429-444.
[15]CHUNG Y H,FARE R,GROSSKOPF S. Productivity and undesirable outputs:a directional distance function approach[J]. Journal of Environmental Management,1997,51(3):229-240.
[16]岳立,杨帆.“丝绸之路经济带”框架下中国与中亚五国能源效率评价:基于CCR-BCC和Malmquist指数分析方法的DEA-Tobit模型[J].统计与信息论坛,2016,31(6):37-43.
[17]于洪丽.长江经济带省域绿色能源效率水平的测度[J].统计与决策,2017(8):59-62.
[18]ZHOU P,ANG B W,WANG H. Energy and CO2 emission performance in electricity generation:anon-radial directional distance function approach[J]. European Journal of Operational Research,2012,221(3):625-635.
[19]林伯强,刘泓汛.对外贸易是否有利于提高能源环境效率:以中国工业行业为例[J].经济研究,2015,50(9):127-141.
[20]李峰,何伦志.碳排放约束下我国全要素能源效率测算及影响因素研究[J].生态经济,2017,33(5):35-41.
[21]张星灿,曹俊文.雾霾约束下的长江经济带能源效率的空间差异研究[J].科技与经济,2018,31(4):106-110.
[22]田泽,严铭,顾欣.碳约束下长江经济带区域节能减排效率时空分异研究[J].软科学,2016,30(12):38-42.
[23]TONE K,TSUTSUI M. An epsilon-based measure of efficiency in DEA:a third pole of technical efficiency [J]. European Journal of Operational Research,2010(207):1554-1563.
[24]王群伟,周鹏,周德群.我国二氧化碳排放绩效的动态变化、区域差异及影响因素[J].中国工业经济,2010(1):45-54.