DocumentCode
127137
Title
Analysis on the influential factors of the profits in China´s steel industry based on data mining
Author
Wang Xiao-yan ; Pan Kai-ling
Author_Institution
Sch. of Machinery, Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2014
fDate
17-19 Aug. 2014
Firstpage
820
Lastpage
826
Abstract
Steel industry is the fundamental industry of the national economic development, and also the pillar industry of China urbanization and industrialization process. Profitability is a key factor on whether the industry can abstract investment and develop soundly. Combined actions of import price and volume of iron ore, the number of steel industry, output of steel product, demand of the market on iron and steel product and fixed assets investment of iron and steel industry bring in the fluctuation of profitability. From the perspective of data, this thesis makes a curve estimation with the help of SPSS and explores the function mechanism of the above factors on the industry profit; and draws the following conclusions: (1) Production reduction is the urgent affair for the industry development; (2)Reduce the merger and acquisitions and recombination of non-market behavior; (3) Correctly guide the investment of fixed assets of iron and steel industry; (4) Rising price of iron ore is not a key factor affects the industry profit.
Keywords
corporate acquisitions; data mining; industrial economics; investment; pricing; production engineering computing; profitability; steel industry; China; SPSS; acquisitions; data mining; import price; industrialization; investment; market demand; mergers; profitability; steel industry; urbanization; Indexes; Investment; Iron; Metals industry; Production; Steel; curve estimation; data mining; iron and steel industry; profitability;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location
Helsinki
Print_ISBN
978-1-4799-5375-2
Type
conf
DOI
10.1109/ICMSE.2014.6930313
Filename
6930313
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