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基于DEA和Tobit模型的快递企业效率评价及影响因素分析 被引量:6

Analysis of Efficiency Evaluation and Influencing Factors of Express Enterprises Based on DEA-Tobit Models
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摘要 采用DEA-Tobit两阶段模型选取2009—2017年15家上市快递公司的面板数据分析快递企业效率及其影响因素。实证结果表明:快递企业整体效率水平较高,但有下滑趋势,且个体民营快递企业能够实现DEA有效的仅局限于Fed Ex等少数几家跨国快递公司,相对而言国内民营快递企业综合效率低又有大起大落的波动趋势。其次Tobit回归结果表明,快递企业盈利能力、总资产营运能力,管理成本及市场化程度是造成整体效率下滑,个体效率波动大的主要原因。 In this paper,DEA-Tobit model is used to analyze the efficiency and influencing factors of15listed express delivery companies in2009-2017.The empirical results show that the technical efficiency level of express delivery enterprises is relatively high,but there is a downward trend,and individual private express enterprises can realize DEA effectively only in a few multinational express companies such as FedEx.Relatively speaking,the domestic private express enterprises have low comprehensive efficiency and fluctuating trend.Secondly,the results of Tobit regression show that the main reasons for the technical efficiency decline and individual efficiency fluctuation are the profit ability,total assets operation ability,management cost and marketization degree of express delivery enterprises.
作者 山红梅 肖雪媛 SHAN Hongmei;XIAO Xueyuan(Xi'an University of Posts & Telecommunications, Xi an 710101, China)
出处 《科技与经济》 2018年第6期101-105,共5页 Science & Technology and Economy
基金 陕西省软科学计划项目--"互联网+时代创新驱动陕西民营经济转型升级的路径研究"(项目编号:2017KRM076 项目负责人:山红梅)成果之一
关键词 快递企业 综合效率 DEA模型 影响因素 express delivery enterprises overall efficiency DEA model influencing factors.
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  • 1罗晓春,陆琳.基于层次分析法的第三方物流企业物流服务绩效评价指标体系研究[J].财会通讯(中),2011(4):45-46. 被引量:10
  • 2孙金岭,庞娟.基于DEA的物流公司绩效评价模型[J].山西财经大学学报,2011,33(S3):100-101. 被引量:5
  • 3南剑飞,刘志刚.物流服务质量评价体系构建研究[J].现代管理科学,2013,1(10):51-53. 被引量:18
  • 4Caves D.W. , L. R. Christensen, and W. E Diew- ert. The Economic Theory of Index Numbers and the Measure- ment of Input, Output, and Productivity [ J]. Econometrics, 1982, (50): 1393 - 1414.
  • 5Tobin J. Estimation of Relationship for Limited Depen- dent Variables[J]. Econometrica, 1958,26( 1 ) :24 - 36.
  • 6Gordon R. Productivity in the Transportation Sector[Z]. NBER Working Paper, 1993.
  • 7Yoshidaa Y, Fujimotob H. Japanese-airport Benchmarking with the DEA and Endogenous-weight TFP Methods: Testing the Criticism of Overinvestment in Japanese Regional Airports[J]. Transportation Research Part E: Logistics and Transportation Review, 2004(6):533-546.
  • 8Wanke P. F.. Determinants of Scale Efficiency in the Brazilian 3PL Industry: A 10-Year Analysis[J]. International Journal of Production Research, 2012(9):2423-2438.
  • 9Fung M. K. Y., Wan K. K. H., et al. Productivity Changes in Chinese Airports 1995-201M[J]. Transportation Research Part E, 2008,44(3):521-542.
  • 10Lam S. W., Low J. M. W., et al. Operational Efficiencies across Asia Pacific Airports[J]. Transportation Research Part E, 2009,45(4):654-665.

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