• DocumentCode
    2328423
  • Title

    Efficiency Evaluation of China´s Real Estate Listed Company with Bayesian Combinational Evaluation Method

  • Author

    Li, Weidong

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-30 Oct. 2011
  • Firstpage
    118
  • Lastpage
    121
  • Abstract
    After the global financial crisis China´s real estate companies faces the current market environment and macro-control policies, the real estate business is at a turning point in the development. The empirical analysis of evaluation of the real estate enterprise´s efficiency will help the real estate enterprise find its strength and weakness to enhance the efficiency of enterprises to provide countermeasures to effectively respond to domestic and international market environment. To evaluate the efficiency of the real estate enterprise the framework of Bayesian Combinational Evaluation Method is constructed in this paper. Through evaluation of operation efficiency of 57 China´s real estate listed companies it is found the results of Bayesian Combinational Evaluation Method are consistent with other ranking results of each single evaluation method. It indicates that Bayesian Combinational Evaluation Method is a feasible and applicable combinational evaluation method.
  • Keywords
    Bayes methods; combinatorial mathematics; economic cycles; international trade; property market; Bayesian combinational evaluation method; China; domestic market; empirical analysis; global financial crisis; international market; operation efficiency; real estate business; real estate listed company; Bayesian methods; Companies; Economics; Indexes; Industries; Rail transportation; bayesian combinational evaluation; efficiency; real estate enterprise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1085-8
  • Type

    conf

  • DOI
    10.1109/ISCID.2011.131
  • Filename
    6079751