期刊文献+

基于模糊神经网络我国仓储运输业上市公司企业规模实证研究

Empirical Research on Firm Scale Based on Fuzzy Nerual Network to Listed Companies in Chinese Warehousing and Transportation Industry
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摘要 一个行业或企业的规模大小处于一种什么状态,是否合适,这是企业所关心的问题.在交易成本等规模经济理论及西方经济学生产函数理论的基础上,构建了企业规模函数指标,通过模糊神经网络对中国仓储运输业上市公司的企业规模的发展状态进行了实证研究.研究结果表明,我国仓储运输业上市公司的企业规模普遍偏小. Whether the scale of one industry or firm is suitable or not, this is a question that every industry or firm cares. This paper constructs indexes of function of scale enterprises based on economies of scale, such as transaction cost, and occident economics production function and carries on the empirical research to the state of development of firm scale of Chinese listed companies in warehousing and transportation industry through the fuzzy nerual network. The result of study demonstrated firm scale of Chinese listed companies in warehousing and transportation industry was generally small.
出处 《数学的实践与认识》 CSCD 北大核心 2008年第22期6-14,共9页 Mathematics in Practice and Theory
基金 国家自然科学基金(70673095)
关键词 企业规模 上市公司 模糊神经网络 firm scale listed companies fuzzy neural network
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参考文献12

  • 1Mertens A, Urga G. Efficiency, scale and scope economies in the ukrainian banking sector in 1998[J ]. Emerging Markets Review, 2001.2:292-308.
  • 2Paul C J M. Siegel D S. Scale economies and industry agglomeration externalities[J]. The American Economic Review, 1999,89 :272-290.
  • 3Chandler A D Jr. Scale anti Scope[M], Cambridge(MA): Harvard Universily Press,1990.
  • 4Cummins J D, et al. Consolidation and efficiency in the US life insurance industry[J]. Journal of Banking & Finance, 1999,23: 325-357.
  • 5Coles J W. Hesterly W S. Transaction costs, quality, and economies of scale[J]. Journal of Corporate Finance, 1998.4:321-345.
  • 6Oz Shy R S. Strategic ontsourcing[J]. Journal of Economic Behavior & Org, 2003,50:203-224.
  • 7AItunbas Y, et al. Efficiency in european banking[J ]. European Economic Review, 2001,45 : 1931-1955.
  • 8Bezdek J C, Hath away R. Local convergence of tile fuzzy c-means a births pattern recognition[J]. 1986,19(6): 237-246.
  • 9James C Bczdek, Nikhil R Pal. Cluster validation with generalized dunn's indices[J]. Proceedings of the 2^rd New Zealand Two-St ream International Conference on Artificial Neural Net works and Expert Systems, 1995.190-193.
  • 10Hathaway R J, Bezdek J C. Optimization of clustering criteria by reformulation[J]. IEEE Transactions Fuzzy Systems, 1995,3(2) :241-245.

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