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

作　　者：苏顺华[1] 苏顺兵[1] 

机构地区：[1]中国地质大学管理学院,湖北武汉430074

出　　处：《数学的实践与认识》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)

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.

关 键 词：企业规模 上市公司 模糊神经网络 

分 类 号：F259.2[经济管理—国民经济] F224