Evaluation of dynamic competitiveness of the university of listed companies based on grey relational analysis

Author(s):  
Liu Yong ◽  
Jian Lirong ◽  
Ma Hongfang
2019 ◽  
Vol 11 (16) ◽  
pp. 4413
Author(s):  
Xianhua Tan ◽  
Sanggyun Na ◽  
Lei Guo ◽  
Jing Chen ◽  
Zhihua Ruan

Rural revitalization is an important strategy to promote sustainable development of rural areas in China. Rural revitalization listed companies play an important role in implementing the rural revitalization strategy and developing the agricultural industry. However, the financing problem has always been a bottleneck problem with Chinese listed companies. This study used a two-stage DEA (data envelopment analysis) method to evaluate the funds raising efficiency, funds using efficiency, and overall financing efficiency of 34 rural revitalization listed companies in 2018. The results show that the financing efficiencies of 34 sample companies were low, only six companies have overall efficient financing, and there was much room for improvement. Financing efficiency varied greatly depending on the nature of the company, the industry, and the listing board. The efficiency of funds using of state-owned enterprises was much lower than that of private companies. The average efficiency value of agricultural company funds raising was lower than that of manufacturing. The efficiency of small and middle-size enterprises (SMEs) was lower than that of main board companies, but the growth enterprise market (GEM) companies achieved higher efficiency in the funds using. Further, by using the grey relational analysis (GRA) method, we found that the key factors affecting the financing efficiency of sample companies included capital structure, debt-paying ability, governance structure, company age, and operating ability. To improve financing efficiency, the companies should not only optimize their capital structure and governance structure but also improve their management and innovation capabilities. At the same time, the state also needs to give different policies support according to the characteristics of the companies.


2013 ◽  
Vol 333-335 ◽  
pp. 1265-1268
Author(s):  
Mu Li ◽  
Jia Jie Wang ◽  
Wen Qiao ◽  
Hao Tian Zheng

The evaluation for comprehensive performance of electric power listed companies generally exist some subjectivity and one-sidedness unavoidably. On the basis of the characteristics of complexity and the uncertainty of optimal evaluation on comprehensive performance of electric power listed companies, grey relational analysis model in evaluation on comprehensive performance of electric power listed companies has been put forward in this paper. Application model and procedures of the grey relational analysis method are introduced. According to the degree how close it is with the ideal dot, the optimal evaluation result is easy to be obtained. This method is convenient, quantitative, and strict. It provided a new method and a possible new way for evaluation of comprehensive performance of electric power listed companies.


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