我国物流业能源效率的地区差异及影响因素——基于DEA-BCC模型的实证研究
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摘要
利用规模报酬可变假设的DEA-BCC模型测算2003—2014年我国30个省份的物流业能源效率,基于我国2003—2014年30个省份的面板数据模型,通过DEA-Tobit两阶段回归计算,从全国总体和东、中、西部分地区两个层面实证分析我国物流业能源效率的影响因素。研究表明,我国物流业能源效率较低,地区差异明显;全国和三大地区的物流业能源效率都呈现出先下降后上升的"U型"变化趋势;地区经济发展水平和国际贸易能够显著提升我国物流业的能源效率;研发投入尚未能够显著提升物流业的能源效率;不合理的产业结构、较大的政府干预程度和过度的物流业投入水平都不利于促进物流业能源效率的提升。
This paper uses DEA-BCC analysis to calculate energy efficiency of logistics industry in 30 provinces across China from 2003 to 2014.Based on the panel data model of 30 provinces from 2003 to2014,influencing factors on the energy efficiency of China's logistics industry are empirically analyzed from two levels:the national level,and the level of the eastern,central and western regions by DEATobit two-stage regression calculation.This paper reveals the following findings:first,the energy efficiency of China's logistics industry is relatively low,and the regional difference is apparent;second,the energy efficiency of the logistics industry both at the national level and in the three regions are showing a U-shaped trend;third,regional economic development level and international trade can significantly improve the energy efficiency of China's logistics industry;fourth,R & D investment does not show a notable impact on the improvement of energy efficiency of the logistics industry;last,the disproportionate industrial structure,high degree of government intervention and excessive input in logistics industry are not conducive to the improvement of energy efficiency of logistics industry.
This paper uses DEA-BCC analysis to calculate energy efficiency of logistics industry in 30 provinces across China from 2003 to 2014.Based on the panel data model of 30 provinces from 2003 to2014,influencing factors on the energy efficiency of China's logistics industry are empirically analyzed from two levels:the national level,and the level of the eastern,central and western regions by DEATobit two-stage regression calculation.This paper reveals the following findings:first,the energy efficiency of China's logistics industry is relatively low,and the regional difference is apparent;second,the energy efficiency of the logistics industry both at the national level and in the three regions are showing a U-shaped trend;third,regional economic development level and international trade can significantly improve the energy efficiency of China's logistics industry;fourth,R & D investment does not show a notable impact on the improvement of energy efficiency of the logistics industry;last,the disproportionate industrial structure,high degree of government intervention and excessive input in logistics industry are not conducive to the improvement of energy efficiency of logistics industry.
引文
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[14]ROGERS M M,WEBER W L.Evaluating CO2 Emissions and Fatalities Tradeoffs in Truck Transport[J].International Journal of Physical Distribution&Logsitics Management,2011,41(8):750-767.
[15]HA H K,YOSHIDA Y,ZHANG A.Social Efficiency Benchmarking of Japanese Domestic Transport Services:AComparison of Rail and Air[J].Transportation Research Part D:Transport and Environment,2011,16(7):554-561.
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[23]张立国,李东,龚爱清.中国物流业全要素能源效率动态变动及区域差异分析[J].资源科学,2015,(4):754-763.
[24]刘秉镰,林坦.制造业物流外包与生产率的关系研究[J].中国工业经济,2010,(9):67-77.
[25]王琴梅,谭翠娥.对西安市物流效率及其影响因素的实证研究---基于DEA模型和Tobit回归模型的分析[J].软科学,2013,(5):70-74.
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[27]赵雷.我国省域物流产业效率及其影响因素研究[D].北京:北京交通大学经济管理学院,2014.
[28]FARELL M J.The Measurement of Productive Efficiency[J].Journal of the Royal Statistical Society Series A,1957,120(3):253-290.
[29]SCHMIDT P,SICKLES R C.Production Frontiers and Panel Data[J].Journal of Business&Economic Statistics,1984,2(4):367-374.
[30]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.
[31]BANKER R J,CHARNES A,COOPER W W.Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis[J].Management Science,1984,30(9):1078-1093.
[32]魏楚,沈满洪.结构调整能否改善能源效率:基于中国省级数据的研究[J].世界经济,2008,(11):77-85.
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[34]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004,(10):35-44.
[35]SEIFORD L M,ZHU J.Modeling Undesirable Factors in Efficiency Evaluation[J].European Journal of Operational Research,2002,142(7):16-20.
[36]韩晶,王赟,陈超凡.中国工业碳排放绩效的区域差异及影响因素研究---基于省域数据的空间计量分析[J].经济社会体制比较,2015,(1):113-124.
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[38]DIETZ T,ROSA E A.Rethinking the Environmental Impacts of Population,Affluence,and Technology[J].Human Ecology Review,1994,(1):277-300.
[39]张兵兵,朱晶.出口对全要素能源效率的影响研究---基于中国37个工业行业视角的经验分析[J].国际贸易问题,2015,(4):56-65.
[40]袁鹏,程施.中国城市工业环境效率度量与分析[J].大连理工大学学报(社会科学版),2010,(4):31-36.
[41]王兵,吴延瑞,颜鹏飞.中国区域环境效率与环境全要素生产率增长[J].经济研究,2010,(5):95-109.
[42]田刚,孙立成,程发新,郭本海.中国物流业节能减排效率及其影响因素研究[J].工业工程与管理,2015,(5):14-20.
[43]LESHER M,NORDAS H K.Business Services,Trade and Costs[J].OECD Papers,2006,6(13):1-13.
[44]杨长春.我国对外贸易与国际物流关系的实证研究[J].国际商务(对外经济贸易大学学报),2008,(1):8-11.
[45]俞雅乖.现代物流与对外贸易关系的实证研究---基于浙江省1986-2009年的数据[J].国际贸易问题,2012,(1):99-107.
[46]熊妍婷.对外开放对我国能源技术效率的影响[D].厦门:厦门大学经济学院,2009.
[47]滕玉华.国际R&D溢出与工业能源效率---基于进口贸易的实证分析[J].国际贸易问题,2010,(5):104-110.
[48]綦建红,陈小亮.进出口与能源利用效率:基于中国工业部门面板数据的实证研究[J].南方经济,2011,(1):14-25.
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