Dynamic research on competitiveness of Chinese materia medica listed enterprises based on global principal component and cluster analysis method
10.7501/j.issn.0253-2670.2019.11.036
- Author:
Jin JIN
1
Author Information
1. College of Business Administration, Shenyang Pharmaceutical University
- Publication Type:Journal Article
- Keywords:
Chinese materia medica listed companies;
Cluster analysis;
Enterprise competitiveness;
Global principal component analysis;
Indicator system
- From:
Chinese Traditional and Herbal Drugs
2019;50(11):2750-2756
- CountryChina
- Language:Chinese
-
Abstract:
This paper selects 12 indicators of 47 Chinese materia medica (CMM) listed companies from 2013 to 2017, and builds an enterprise competitiveness evaluation system. Firstly, the global principal component analysis (GPCA) method is used to aggregate 12 indicators into four principal components, which named as scale capability, profitability, growth ability and technological innovation ability, and calculate the competitiveness score of the enterprise. Secondly, the Q-type cluster analysis method is used to divide the enterprise into four echelons based on the competitiveness score of the enterprise, and then use the combination of dynamic and static to analyze the development status of the four types of enterprises from static and dynamic perspectives. This study finally drew relevant conclusion and suggestions, providing reference for the companies making a targeted development strategy.
