Title :
Steel demand and steel consuming industries in China
Author :
Sun, Jianmiao ; Zhang, Qun ; Liu, Guy
Author_Institution :
Manage. Sci. & Eng., Univ. of Sci. & Technol. Beijing, Beijing
Abstract :
This study analyzed the relationship between steel demand and supply in steel industry in China. Cointegration, vector auto regression (VAR), vector error correction model (VECM) and Granger causality are applied on yearly data set covering the period 1978-2005. The major findings of the paper are: (1) the apparent steel consumption is cointegrated with the machine-tool production and floor space of building under construction; (2) there are two-way Granger causality between steel consumption and the two steel consuming industries: machinery and construction.
Keywords :
construction industry; machinery production industries; steel; steel industry; supply and demand; FeCJk; Granger causality; construction; machine-tool production; steel consuming industries; steel demand; steel industry; vector auto regression; vector error correction model; Aerospace industry; Buildings; Construction industry; Error correction; Floors; Industrial relations; Metals industry; Production; Reactive power; Steel; cointegration; steel industry; vector auto regression; vector error correction model;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4686523