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