| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 7 | |
| Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202021402020 | |
| Published online | 07 December 2020 | |
A structure analysis of Chinese iron and steel industry based on Jingyou evaluation of performances of listed companies
1 School of Business Administration, Northeastern University, Shenyang, China
2 School of Business Administration, Northeastern University, Shenyang, China
3 Institute of Science Strategy, State Academy of Sciences, Pyongyang, DPRK
a xnzhao@mail.neu.edu.cn
b kimjongho@163.com
With the value ideology of modern strategic management, a new industrial structure analysis method was proposed based on the Jingyou theory rather than the traditional competitive mechanism in this paper, and then it was carried out to apply it to the performance data of the listed companies in the first quarter of 2017 in order to explain the structural feature of Chinese iron and steel industry. Such analysis results as the distributive feature of enterprise groups in industry, the main developing mode of industry, the identification of benchmarks and partners will be helpful to the detailed explanation of structural feature of industry under the objective law of development of things and contribute to solve some important problems in the modern corporate strategic management practice.
© The Authors, published by EDP Sciences, 2020
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