NDLI: Analysis on the influential factors of the profits in China's steel industry based on data mining

Content Provider	IEEE Xplore Digital Library
Author	Wang Xiao-yan Pan Kai-ling
Copyright Year	2014
Description	Author affiliation: Sch. of Manage., Wuhan Univ. of Sci. & Technol., Wuhan, China (Pan Kai-ling) \|\| Sch. of Machinery, Wuhan Univ. of Sci. & Technol., Wuhan, China (Wang Xiao-yan)
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.
Starting Page	820
Ending Page	826
File Size	365657
Page Count	7
File Format	PDF
ISBN	9781479953752
ISSN	21551855
e-ISBN	9781479953769
DOI	10.1109/ICMSE.2014.6930313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	profitability data mining Production Iron Metals industry Steel Indexes iron and steel industry curve estimation Investment
Content Type	Text
Resource Type	Article

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