• DocumentCode
    2344991
  • Title

    Empirical research on firm scale based on fuzzy neural network to listed companies of Chinese warehousing and transportation industry

  • Author

    Su, Shunhua ; Gao, Siwei ; Yu, Shiwei

  • Author_Institution
    Sch. of Manage., China Univ. of Geosci., Wuhan
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    1339
  • Lastpage
    1342
  • Abstract
    Whether the scale of one industry or firm is suitable or not, this is a question that every industry or firm concerns. This paper constructs indexes of function of enterprise scale based on economic of scale, such as transaction cost, production function. Empirical research is performed in this paper on the state of development of firm scale of Chinese listed companies of warehousing and transportation industry using the fuzzy neural network. The result of this study demonstrated that firm scale of Chinese listed companies of warehousing and transportation industry was generally small.
  • Keywords
    costing; fuzzy neural nets; microeconomics; production engineering computing; warehousing; Chinese warehousing industry; economic of scale; fuzzy neural network; listed companies; production function; transaction cost; transportation industry; Ceramics industry; Communication industry; Companies; Construction industry; Fuzzy neural networks; Manufacturing industries; Production; Textile industry; Transportation; Warehousing; Firm Scale; Fuzzy neural network; Listed Companies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582735
  • Filename
    4582735