碳约束下长江经济带区域节能减排效率时空分异研究
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摘要
运用改进的超效率DEA-EBM模型和全局Malmquist-Luenberger指数法相结合的综合方法,对2006~2014年长江经济带各省市节能减排效率进行评价,以揭示时间演进规律和区域差异特征。结果显示:考察期整个长江经济带节能减排效率得到提高。从空间分布看,长江经济带省际节能减排呈现出东高西低特点;从时间看,整个长江经济带节能减排效率呈先降后升的U型趋势。长江经济带省际节能减排效率差异经历了先增后减的过程,并有持续下降的趋势。在影响节能减排效率的诸多因素中,技术进步是推动长江经济带节能减排效率提升和区域差异缩小的主要动力,并得出结论与有意启示。
This paper evaluates the energy-saving & emission reduction efficiency in Yangtze River Economic Zone from2006 to 2014 by adjusted Super DEA-EBM model and Global Malmquist-Luenberger index method,and analyzes the change rule and regional difference characteristics of them. Result show that,the whole Yangtze river economic belt efficiency was improved. From the spatial distribution of the Yangtze river economic belt,the provinces presents the efficiency with "east high,but west low"characteristics. From the time the whole Yangtze river economic belt efficiency has the"U"type trend.The provincial efficiency difference has the process of"increase after decreases first",and have continued to decline trend.In a number of factors that influence efficiency,technological progress is the main power to ascend. In the end,it gave the conclusion and got some implications.
This paper evaluates the energy-saving & emission reduction efficiency in Yangtze River Economic Zone from2006 to 2014 by adjusted Super DEA-EBM model and Global Malmquist-Luenberger index method,and analyzes the change rule and regional difference characteristics of them. Result show that,the whole Yangtze river economic belt efficiency was improved. From the spatial distribution of the Yangtze river economic belt,the provinces presents the efficiency with "east high,but west low"characteristics. From the time the whole Yangtze river economic belt efficiency has the"U"type trend.The provincial efficiency difference has the process of"increase after decreases first",and have continued to decline trend.In a number of factors that influence efficiency,technological progress is the main power to ascend. In the end,it gave the conclusion and got some implications.
引文
[1]孙欣,韩伟伟,宋马林.中国省域节能减排效率评价及其影响因素[J].西北农林科技大学学报(社会科学版),2014,14(4):137-143.
[2]Seiford L M,Zhu J.Modeling Undesirable Factors in Efficiency Evaluation[J].European Journal of Operational Research,2002,142(1):16-20.
[3]袁晓玲,张宝山,杨万平.基于环境污染的中国全要素能源效率研究[J].中国工业经济,2009(2):76-86.
[4]王维国,范丹.中国区域全要素能源效率收敛性及影响因素分析——基于Malmqulist-Luenberger指数法[J].资源科学,2012,34(10):1816-1824.
[5]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(3):1554-1563.
[6]Cheng G,Zhenhua Qian.An Epsilon-based Measure of Efficiency in DEA-An Alternative Method for the Affinity Index[J].Mpra Paper,2011.
[7]Pastor J T,Lovell C A.A Global Malmquist Productivity Index[J].Economics Letters,2005(88):266-271.
[8]Zofio J L.Malmquist Productivity Index Decompositions:A Unifying Framework[J].Applied Economics,2007,39(18):2371-2387.
[9]齐绍洲,付坤.低碳经济转型中省级碳排放核算方法比较分析[J].武汉大学学报:哲学社会科学版,2013(2):85-92.
[10]吴琦,武春友.基于DEA的能源效率评价模型研究[J].管理科学,2009,22(1):103-112.
[11]王维国,范丹.中国区域全要素能源效率收敛性及影响因素分析——基于Malmqulist-Luenberger指数法[J].资源科学,2012,34(10):1816-1824.
(1)本文根据DEA方法的结果,将A-EBM效率值分为高(0.8~1)、中(0.6~0.8)、低(0.4~0.6)、无(0~0.4)效4个类别。
[2]Seiford L M,Zhu J.Modeling Undesirable Factors in Efficiency Evaluation[J].European Journal of Operational Research,2002,142(1):16-20.
[3]袁晓玲,张宝山,杨万平.基于环境污染的中国全要素能源效率研究[J].中国工业经济,2009(2):76-86.
[4]王维国,范丹.中国区域全要素能源效率收敛性及影响因素分析——基于Malmqulist-Luenberger指数法[J].资源科学,2012,34(10):1816-1824.
[5]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(3):1554-1563.
[6]Cheng G,Zhenhua Qian.An Epsilon-based Measure of Efficiency in DEA-An Alternative Method for the Affinity Index[J].Mpra Paper,2011.
[7]Pastor J T,Lovell C A.A Global Malmquist Productivity Index[J].Economics Letters,2005(88):266-271.
[8]Zofio J L.Malmquist Productivity Index Decompositions:A Unifying Framework[J].Applied Economics,2007,39(18):2371-2387.
[9]齐绍洲,付坤.低碳经济转型中省级碳排放核算方法比较分析[J].武汉大学学报:哲学社会科学版,2013(2):85-92.
[10]吴琦,武春友.基于DEA的能源效率评价模型研究[J].管理科学,2009,22(1):103-112.
[11]王维国,范丹.中国区域全要素能源效率收敛性及影响因素分析——基于Malmqulist-Luenberger指数法[J].资源科学,2012,34(10):1816-1824.
(1)本文根据DEA方法的结果,将A-EBM效率值分为高(0.8~1)、中(0.6~0.8)、低(0.4~0.6)、无(0~0.4)效4个类别。