低碳约束下的我国省际物流业效率研究
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摘要
以往对于物流效率的研究都是基于传统DEA模型,而且没有考虑物流业碳排放问题,文章基于超效率DEA模型同时引入Ruggiero三阶段方法构建低碳约束下的我国省际物流业效率测算体系,该方法解决了传统DEA模型在测算物流效率时部分省区效率值同为DEA有效无法排序的问题,同时消除了外部环境因素对于技术效率测算的影响。研究结果表明:消除环境因素后第三阶段测算的低碳约束下的我国各省区物流业效率与第一阶段测算的各省区物流业效率有显著差异,我国物流业高效率地区共有天津等11省区,中效率地区共有北京等12省区,低效率地区共有吉林等7省区。研究发现外生环境因素对中部和西部地区物流效率测算影响较为明显,对东部地区的影响较弱。
Previous studies on logistics efficiency are based on the traditional DEA model,and carbon emissionsfrom logistics industry have not been considered. In this paper,we introduced Ruggiero three-phrase approach and SE-DEAmodel to construct the estimation system of interprovincial logistics industry efficiency under the restriction of low carbon(LIEURL)in China. This method solves the problem that some provinces could not be sorted when the efficiency values calcu-lated by traditional DEA model are all one. This approach also eliminates the impact of external environmental factors on mea-suring technical efficiency. The result shows that the value of LIEURL without environmental factors calculated in the thirdphrase has a significant difference with the value of LIEURL calculated in the first phrase. There are 11 provincial-level ad-ministrative areas with high efficiency of logistics industry including Tianjin,12 areas with middle efficiency including Bei-jing,and 7 areas with low efficiency including Jilin. The study also finds that the impact of exogenous environmental factors issignificant to the logistics efficiency in the central and western regions,but this impact is weak to that in the eastern region.
Previous studies on logistics efficiency are based on the traditional DEA model,and carbon emissionsfrom logistics industry have not been considered. In this paper,we introduced Ruggiero three-phrase approach and SE-DEAmodel to construct the estimation system of interprovincial logistics industry efficiency under the restriction of low carbon(LIEURL)in China. This method solves the problem that some provinces could not be sorted when the efficiency values calcu-lated by traditional DEA model are all one. This approach also eliminates the impact of external environmental factors on mea-suring technical efficiency. The result shows that the value of LIEURL without environmental factors calculated in the thirdphrase has a significant difference with the value of LIEURL calculated in the first phrase. There are 11 provincial-level ad-ministrative areas with high efficiency of logistics industry including Tianjin,12 areas with middle efficiency including Bei-jing,and 7 areas with low efficiency including Jilin. The study also finds that the impact of exogenous environmental factors issignificant to the logistics efficiency in the central and western regions,but this impact is weak to that in the eastern region.
引文
[1]林波峰.绿色物流及其发展策略[J].经济管理,2007(20):56-59.
[2]陶晶.低碳经济下的低碳物流探讨[J].中国经贸导刊,2010(12):72-72.
[3]王艳,李作聚.浅谈低碳物流的内涵与实现途径[J].商业时代,2010(14):32-33.
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[6]任倩倩,吴艳芳.低碳时代的低碳物流措施[J].物流工程与管理,2011,33(6):11-13.
[7]范璐.低碳物流发展路径研究[J].中国流通经济,2011(8):46-51.
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[10]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,2013,27(5):70-74.
[11]覃波.基于DEA模型的我国物流企业经营效率评价研究[D].长沙:中南大学,2007.
[12]孙立成,周德群,李群.基于非径向超效率DEA聚类模型的FEEEP系统协调发展[J].系统工程理论与实践,2009,29(7):139-146.
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[15]李元静,王成璋.资源配置效率的比较分析——以我国区域高等教育资源为例[J].软科学,2014,28(10):22-26.
[16]刘国平,朱远.碳排放约束下的中国省域全要素福利绩效研究[J].软科学,2014,28(8):88-93.
[17]邱煜,葛智杰.基于三阶段DEA的文化类上市公司经营绩效评价研究[J].成都理工大学学报:社会科学版,2013,21(2):93-100.
[18]张家庭,张容.基于三阶段DEA模型的中国文化产业效率研究[J].中国软科学,2009(9):75-82.
[19]钟祖昌.基于三阶段DEA模型的中国物流产业技术效率研究[J].财经研究,2010,36(9):80-90.
[20]梁芹,陆静.基于三阶段DEA模型的中国寿险市场效率研究[J].经济管理,2011(7):149-155.
[21]董锋,刘晓燕,龙如银,等.基于三阶段DEA模型的我国碳排放效率分析[J].运筹与管理,2014,23(4):196-205.
[22]Ruggiero J.Non-discretionary inputs in data envelopmentanalysis[J].European Journal of Operational Research,1998,111(3):461-469.
[23]李涛,傅强.中国省际碳排放效率研究[J].统计研究,2011,28(7):62-71.
[24]李瑛,崔宇威.地方高校科技创新效率评价研究——基于超效率的三阶段DEA分析[J].东北师大学报:哲学社会科学版,2011(2):177-181.
[25]Charnes A,Cooper W W,Rhodes E.Measuring the efficien-cy of decision making units[J].European Journal of Opera-tion Research,1978,2(6):429-444.
[26]Banker R D,Charnes A,Cooper W W.Some models for es-timating technical and scale inefficiencies in data develop-ment analysis[J].Management Science,1984,30(9):1078-1092.
[27]Zhang C H,Liu H Y,Bressersc H T A,et al.Productivitygrowth and environmental regulations-accounting for unde-sirable outputs:Analysis of china’s thirty provincial re-gions using the malmquist-luenberger index[J].Ecologi-cal Economics,2011,70(12):2369-2379.
1限于篇幅,具体计算结果不再详细列出,读者如需要可向作者索取。
[2]陶晶.低碳经济下的低碳物流探讨[J].中国经贸导刊,2010(12):72-72.
[3]王艳,李作聚.浅谈低碳物流的内涵与实现途径[J].商业时代,2010(14):32-33.
[4]中华人民共和国国家质量监督检验检疫局,中国国家标准化管理委员会.中华人民共和国标准物流术语(GB/T18354-2006)[M].北京:中国标准出版社,2007.
[5]王国文.低碳物流与绿色供应链:概念、流程与政策[J].开放导报,2010(2):37-40.
[6]任倩倩,吴艳芳.低碳时代的低碳物流措施[J].物流工程与管理,2011,33(6):11-13.
[7]范璐.低碳物流发展路径研究[J].中国流通经济,2011(8):46-51.
[8]周叶,王道平,赵耀.中国省域物流作业的CO2排放量测评及低碳化对策研究[J].中国人口·资源与环境,2011,21(9):81-87.
[9]张诚,张广胜.中部六省物流产业效率分析及政策建议[J].江西社会科学,2013(2):57-61.
[10]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,2013,27(5):70-74.
[11]覃波.基于DEA模型的我国物流企业经营效率评价研究[D].长沙:中南大学,2007.
[12]孙立成,周德群,李群.基于非径向超效率DEA聚类模型的FEEEP系统协调发展[J].系统工程理论与实践,2009,29(7):139-146.
[13]Allen R,Athanassopoulos A,Dyson R G,et al.Weights re-strictions and value judgments in data envelopment analy-sis:Evolution development and future directions[J].An-nals of Operations Research,1997,73:13-34.
[14]Andersen P,Petersen N C.A Procedure for Ranking Effi-cient Units in Data Envelopment Analysis[J].Manage-ment Science,1993,39(10):1261-1264.
[15]李元静,王成璋.资源配置效率的比较分析——以我国区域高等教育资源为例[J].软科学,2014,28(10):22-26.
[16]刘国平,朱远.碳排放约束下的中国省域全要素福利绩效研究[J].软科学,2014,28(8):88-93.
[17]邱煜,葛智杰.基于三阶段DEA的文化类上市公司经营绩效评价研究[J].成都理工大学学报:社会科学版,2013,21(2):93-100.
[18]张家庭,张容.基于三阶段DEA模型的中国文化产业效率研究[J].中国软科学,2009(9):75-82.
[19]钟祖昌.基于三阶段DEA模型的中国物流产业技术效率研究[J].财经研究,2010,36(9):80-90.
[20]梁芹,陆静.基于三阶段DEA模型的中国寿险市场效率研究[J].经济管理,2011(7):149-155.
[21]董锋,刘晓燕,龙如银,等.基于三阶段DEA模型的我国碳排放效率分析[J].运筹与管理,2014,23(4):196-205.
[22]Ruggiero J.Non-discretionary inputs in data envelopmentanalysis[J].European Journal of Operational Research,1998,111(3):461-469.
[23]李涛,傅强.中国省际碳排放效率研究[J].统计研究,2011,28(7):62-71.
[24]李瑛,崔宇威.地方高校科技创新效率评价研究——基于超效率的三阶段DEA分析[J].东北师大学报:哲学社会科学版,2011(2):177-181.
[25]Charnes A,Cooper W W,Rhodes E.Measuring the efficien-cy of decision making units[J].European Journal of Opera-tion Research,1978,2(6):429-444.
[26]Banker R D,Charnes A,Cooper W W.Some models for es-timating technical and scale inefficiencies in data develop-ment analysis[J].Management Science,1984,30(9):1078-1092.
[27]Zhang C H,Liu H Y,Bressersc H T A,et al.Productivitygrowth and environmental regulations-accounting for unde-sirable outputs:Analysis of china’s thirty provincial re-gions using the malmquist-luenberger index[J].Ecologi-cal Economics,2011,70(12):2369-2379.
1限于篇幅,具体计算结果不再详细列出,读者如需要可向作者索取。