Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57047
Title: The Determinants of Steel Industry Performance in China
Contributor(s): Yang, Zhenghan (author); Hoang, Nam  (supervisor)orcid ; Meng, Xianming  (supervisor)orcid 
Conferred Date: 2020-09-08
Copyright Date: 2019-01-12
Handle Link: https://hdl.handle.net/1959.11/57047
Related Research Outputs: https://hdl.handle.net/1959.11/57048
Abstract: 

This study investigates the determinants of steel industry performance in China. Using the panel data of 26 listed companies for the period 2007 to 2017, along with various estimators, including the correlated random effects model (CRE), we find strong evidence that the firm’s stock operating, management quality, long term development strategy and external economic environment have significant influence on the stock performance. We further conduct a series of relative extended analyses about those determinants, and provide feasible suggestions to improve the performance of the steel industry.

Given the deepening of the Chinese supply-side reform, this study fills the current research of the supply-side reform in the Chinese steel industry. Meanwhile, the study also provides different perspectives for understanding the determinants of the Chinese steel company’s stock performance, which has policy implications for the Chinese public decision-makers and private investors.

Publication Type: Thesis Doctoral
Fields of Research (FoR) 2020: 380112 Macroeconomics (incl. monetary and fiscal theory)
380203 Economic models and forecasting
380204 Panel data analysis
Socio-Economic Objective (SEO) 2020: 150504 Industry costs and structure
150511 Supply and demand
150103 Trade policy
HERDC Category Description: T2 Thesis - Doctorate by Research
Description: Please contact rune@une.edu.au if you require access to this thesis for the purpose of research or study.
Appears in Collections:Thesis Doctoral
UNE Business School

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