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
Link To Document :
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