Based on 10 years of statistics concerning economic development in Xi'an as the main part of Guanzhong- Tianshui Economic Zone, this article builds the main indicator system to reflect economic development. Using ...Based on 10 years of statistics concerning economic development in Xi'an as the main part of Guanzhong- Tianshui Economic Zone, this article builds the main indicator system to reflect economic development. Using two mathematical methods( principal component analysis and cluster analysis),we carry out comprehensive evaluation analysis of the main economic indicators,point out the distribution differences in the economic development level in this region,and make classification,in order to provide a scientific basis for the decision- making body to lay down the relevant economic development strategies in accordance with the economic development level and geographical location.展开更多
Based on 8 indicators of economic development and according to the economic situation of cities in Shaanxi Province,this paper analyzes the data using PCA( Principle Component Analysis) and FA( Factor Analysis) with t...Based on 8 indicators of economic development and according to the economic situation of cities in Shaanxi Province,this paper analyzes the data using PCA( Principle Component Analysis) and FA( Factor Analysis) with the help of R software.Using the test of Kendal's W coefficient of concordance,the consistency of results from both methods is tested.Finally,Cluster Analysis is used to classify the results and some advices are proposed for the development of cites in Shaanxi Province.展开更多
基金supported by the National Natural Science Foundation of China(No.21973064)the Post-Doctor Research Project,West China Hospital,Sichuan University(No.2021HXBH017)。
基金Shaanxi Natural Science Fundamental Research Foundation(2011JM1019)
文摘Based on 10 years of statistics concerning economic development in Xi'an as the main part of Guanzhong- Tianshui Economic Zone, this article builds the main indicator system to reflect economic development. Using two mathematical methods( principal component analysis and cluster analysis),we carry out comprehensive evaluation analysis of the main economic indicators,point out the distribution differences in the economic development level in this region,and make classification,in order to provide a scientific basis for the decision- making body to lay down the relevant economic development strategies in accordance with the economic development level and geographical location.
基金Supported by Natural Science Foundation for Fundamental Research in Shaanxi Province(2011JM1019)
文摘Based on 8 indicators of economic development and according to the economic situation of cities in Shaanxi Province,this paper analyzes the data using PCA( Principle Component Analysis) and FA( Factor Analysis) with the help of R software.Using the test of Kendal's W coefficient of concordance,the consistency of results from both methods is tested.Finally,Cluster Analysis is used to classify the results and some advices are proposed for the development of cites in Shaanxi Province.