The influencing factors analysis of Chinese carbon emissions based on the co-integration analysis with the help of grey correlation analysis(GRA)

Author(s):  
Feng Dong ◽  
Xiao-hui Li
2019 ◽  
Vol 9 (2) ◽  
pp. 155-163
Author(s):  
Hangyu Liu ◽  
Saina Liu ◽  
Lizhong Duan ◽  
Chongxu Zhang ◽  
Lili Yin ◽  
...  

Purpose The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services. Design/methodology/approach Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups. Findings A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others. Originality/value The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.


2011 ◽  
Vol 130-134 ◽  
pp. 1226-1229
Author(s):  
Jun Ying Wei ◽  
Pei Si Zhong

This paper mainly researches the problem that enterprises select equipment resource in manufacturing resources sharing system. There are many influencing factors and some are uncertain or unqualified in the selection, therefore this paper using AHP and grey correlation analysis to evaluate and select. Firstly, the selection index system of equipment resource according to AHP is established, and then selection model based on multi-hierarchical grey correlation analysis is constructed. Applying this model to help enterprise select equipment can avoid errors resulted from human objective cognition difference and equalitarianism. The select result is more scientific and reasonable, and more in line with the enterprise requirements.


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