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文章采用DEA作为评价模型,以2008-2015年长江经济带物流业为研究对象构建评价指标体系,首先从纯技术效率和规模效率对长江经济带11个省市的物流业投入产出效率进行静态分析,然后运用Malmquist指数法从总效率变动、技术效率变动以及技术进步变动对长江经济带物流效率的发展进行动态分析,并绘制空间分布图反映物流效率的变化特征。研究发现,长江经济带中上游地区物流业发展较不平衡,下游地区物流效率情况较好但增速放缓,中上游地区物流效率相对滞后,但有很大的提升空间;整体来看,技术进步是总效率变动的重要影响因素。针对长江经济带物流产业发展现状以及静态分析与动态分析的结果,论文提出了相应的对策建议,为长江经济带的物流效率提升提供参考。
Abstract：This paper selects DEA as the evaluation model and builds the evaluation index system for the logistics industry in the Yangtze River Economic Belt from 2008 to 2015. First,the comprehensive pure technical efficiency and scale efficiency are calculated to analyze the efficiency of the logistics industry in Yangtze River economic zone. Then dynamic analysis of the logistics industry development is made to Yangtze River economic zone by using Malmquist index,including the analysis of total factor productivity change,technical efficiency change and technical progress,which is also shown as figure. The results show that: the development of the logistics industry in Yangtze River economic zone is not balanced,the eastern region logistics efficiency is relatively good but the growth rate has slowed down gradually,the logistics efficiency in central and western regions is relatively backward,but still has big promotion space; on the whole,technical progress is an important factor of total factor productivity change.Finally,according to the current situation of the logistics industry in the Yangtze River economic zone and the results of static analysis and dynamic analysis,some suggestions are put forward for the improvement of the logistics efficiency in Yangtze River economic zone.
[1]SHAIK M,ABDUL-KADER W.Comprehensive performance measurement and causal-effect decision making model for reverse logistics enterprise[J].Computers&Industrial Engineering,2013,68(1):87-103.
[2]GUIMARAES J,SALOMON V.ANP applied to the evaluation of performance indicators of reverse logistics in footwear industry[J].Procedia Computer Science,2015(55):139-148.
[3]ZHOU G,MIN H,XU C,et.al.Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis[J].International Journal of Physical Distribution and Logistics Management,2008,38(4):262-279.
[4]ZHANG J,TANA W.Research on the performance evaluation of logistics enterprise based on the analytic hierarchy process[J].Energy Procedia,2012(14):1618-1623.
[5]MIN H,JOO S.Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis[J].Supply Chain Management,2006,11(3):259-265.
[6]MARKOVITS-SOMOGYI R,BOKOR Z.Assessing the logistics efficiency of European countries by using the DEA-PC methodology[J].Transport,2014,29(2):137-145.
[7]邓学平,王旭,ADA S.我国物流企业生产效率与规模效率[J].系统工程理论与实践,2009(4):34-42.
[8]孟魁.基于三阶段DEA方法的中游六省物流效率评价[J].统计与决策,2014(2):57-60.
[9]张竟轶,张竟成.基于三阶段DEA模型的我国物流效率综合研究[J].管理世界,2016(8):178-179.
[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(5):70-74.
[11]董锋,徐喜辉,韩宇.低碳约束下的我国省际物流业效率研究[J].华东经济管理,2016(5):86-91.
[12]钟祖昌.我国物流上市公司运营效率的实证研究[J].商业经济与管理,2011(4):19-26.
[13]王波,张群,王飞.考虑环境因素的企业DEA有效性分析[J].控制与决策,2002(1):24-28.
[14]王维国,马越越.中国区域物流产业效率——基于三阶段DEA模型的Malmquist-luenberger指数方法[J].系统工程,2012(3):66-75.
[15]MALMQUIST S.Index numbers and indifference surfaces[J].Trabajos De Estadistica,1953,4(2):209-242.
[16]CAVES D,CHRISTENSEN L,DIEWERT W.Multilateral comparisons of output,input,and productivity using superlative index numbers[J].Economic Journal,1982,92(3):73-86.
[17]FARE R,GROSSKOPF S.Malmquist productivity indexes and fisher ideal indexes[J].Economic Journal,1992,102(1):158-160.
[18]KOOP G,OSIEWALSKI J,STEEL M.The components of output growth:a stochastic frontier analysis[J].Oxford Bulletin of Economics&Statistics,2010,61(4):455-487.
基本信息:
DOI：10.14134/j.cnki.cn33-1336/f.2018.04.002
中图分类号:F224;F259.27
引用信息:
[1]于丽英,施明康,李婧.基于DEA-Malmquist指数模型的长江经济带物流效率及因素分解[J].商业经济与管理,2018,No.318(04):16-25.DOI:10.14134/j.cnki.cn33-1336/f.2018.04.002.
基金信息:
国家自然科学基金项目(11671250); 教育部人文社会科学研究一般项目(15YJA630034)
2018-04-15
2018-04-15