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Empirical Research on Firm Scale Based on Fuzzy Neural Network to Listed Companies of Chinese Warehousing and Transportation Industry

机译:基于模糊神经网络向中国仓储运输业上市公司的企业规模实证研究

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摘要

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.
机译:无论一个行业还是公司的规模是合适的,这是一个问题,即每个行业或公司的担忧。本文根据规模的经济,如交易成本,生产函数构建企业规模函数索引。本文在本文中进行了实证研究,就使用模糊神经网络的仓储和运输行业仓储和运输行业公司的企业规模的发展状态。本研究的结果表明,仓储和运输业的中国上市公司的坚定规模一般很小。

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