Qualitative and Quantitative Evaluation of the Security Degree for Chinese Iron and Steel Industry
Zhucui Jing (),
Menggang Li,
Hanxiang Xu and
Yiduo Mei
Additional contact information
Zhucui Jing: Beijing Jiaotong University
Menggang Li: Beijing Jiaotong University
Hanxiang Xu: Beijing Jiaotong University
Yiduo Mei: Beijing Jiaotong University
A chapter in LISS 2012, 2013, pp 1223-1227 from Springer
Abstract:
Abstract In order to objectively measure the security degree for Chinese iron and steel industry, a security evaluation system is proposed. The proposed system includes 12 carefully selected indexes which are designed based on industrial domestic environment, industrial international competitiveness, industrial dependence on foreign and industrial control. Analytic Hierarchy Process (AHP) is used to obtain the index’s weight. Linear comprehensive model is adopted and nonlinear comprehensive evaluation model is proposed to aggregate the indexes together. To demonstrate the validity of the proposed system, the evaluation of the security degree for Chinese iron and steel industry from 2000 to 2010 has been conducted. Results have shown that the system can effectively reflect the security status.
Keywords: Iron and steel industry; Index; Industrial security degree; Linear model; Nonlinear model (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_173
Ordering information: This item can be ordered from
http://www.springer.com/9783642320545
DOI: 10.1007/978-3-642-32054-5_173
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().