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长江经济带物流业全要素能源效率——基于包含碳排放的SBM与GML指数模型 被引量:35

Research on Total Factor Energy Efficiency of the Yangtze River Economic Belt's Logistics Industry
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摘要 基于SBM与GML指数模型,克服方向距离函数未考虑松弛效应及Malmquist-Luenberger指数参考技术非同期性的不足,考察长江经济带物流业2004—2013年全局环境效率、全要素能源效率及其分解因素。结果表明:除江苏省外,全局环境无效率普遍存在;未考虑碳排放的Malmquist指数平均值为1.005 0,分别比MalmquistLuenberger指数、GML指数高出0.010 0、0.009 8,表明碳排放约束将导致全要素能源效率下降;GML指数下长江经济带物流业平均全要素能源效率为0.953 6,上、中、下游依次为:中游>上游>下游,区域与省际层面的空间差异呈下降趋势;技术退步是物流业全要素能源效率偏低的主要原因。未来长江经济带物流业发展中,应关注环境效益,通过提升物流技术水平实现长江经济带可持续发展。 Based on SBM and GML index,this paper overcomes the problems of Directional Distance Function and MalmquistLuenberger index,estimating the global environmental efficiency,the total factor energy efficiency and its decomposition of the Yangtze fiver economic belt's logistics industry over the period of 2004 to 2013. Calculationn results show that there is environmental inefficiency widely under carbon emission constraints except Jiangsu Province; The average value of Malmquist index without considering carbon emission is 1.005 0,which is 0.009 8 and 0.010 0 higher than Malmquist-Luenberger index and GML index, indicating that the carbon emission constraint will lead to the decrease of total factor energy efficiency.; The average total factor energy efficiency of the Yangtze fiver economic belt's logistics industry under GML index is 0.953 6,the order of different reaches as follows : midstream〉upstream〉downstream, and the spatial difference of regional and provincial is declined; The technology backwards is the main cause of low level of total factor energy efficiency. In the future ,the development of the Yangtze fiver economic belt's logistics industry should pay more attention to environmental benefits and promote the sustainable development of the Yangtze fiver economic belt through logistics technology improvement.
作者 杨恺钧 毛博伟 胡菡 YANG Kaijun MAO Bowei HU Han(School of Business, Hohai University, Nanjing 211100, China)
机构地区 河海大学商学院
出处 《北京理工大学学报(社会科学版)》 CSSCI 2016年第6期54-62,共9页 Journal of Beijing Institute of Technology:Social Sciences Edition
基金 江苏省决策咨询研究基地资助项目(14SSL10) 江苏省社会科学基金资助项目(14SZB028) 河海大学技术咨询项目资助(20168042116)
关键词 长江经济带 物流业 全要素能源效率 全局非径向方向距离函数(SBM) 全局马奎斯特卢恩伯格指数(GML) Yangtze river economic belt logistics industry total factor energy efficiency global directional slack based measure global-malmquist-luenberger index
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