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
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;
Conference_Titel :
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location :
Helsinki
Print_ISBN :
978-1-4799-5375-2
DOI :
10.1109/ICMSE.2014.6930313