• DocumentCode
    3063340
  • Title

    An Empirical Study on Operational Efficiency of Chinese Listed Logistics Corporations

  • Author

    Qin, Yanhong ; Wu, Qing

  • Author_Institution
    Sch. of Manage., Chongqing Jiaotong Univ., Chongqing, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    549
  • Lastpage
    553
  • Abstract
    This paper adopts Data Envelop Analysis model to evaluate dynamically operational efficiency of 26 Chinese listed logistics corporations in light of the financial data during the period of 2008-2010. It is found that both pure technical efficiency and scale efficiency are low and unstable, which lead to less desirable operation efficiency of listed logistics corporations although those in Western and around the Bohai Sea are comparatively high, and moreover operational efficiency of listed logistics corporations is effected by not only regional economy but also macroeconomic situation. Consequently, it is suggested that listed logistics corporations can improve pure technical efficiency through accelerating information collection and optimizing management mode, can improve scale efficiency by expanding business scope and business process reengineering, and can improve operational efficiency through policy supporting and learning experience.
  • Keywords
    data envelopment analysis; logistics; Bohai Sea; Chinese listed logistics corporations; business process reengineering; business scope; data envelop analysis model; financial data; information collection; macroeconomic situation; optimizing management mode; regional economy; Analytical models; Data models; Indexes; Logistics; Rivers; Transportation; DEA; evaluation; listed logistics corporations; operational efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.125
  • Filename
    6274786