Research on Rural Finance Development Level Evaluation

被引：0

作者：

Li, Cheng-gang ^{[1
,2
]}

Li, Feng ^{[1
]}

Zhang, Ya-fei ^{[2
]}

机构：

[1] Guizhou Univ Finance & Econ, Fac Finance, Guiyang 550025, Guizhou, Peoples R China

[2] Natl Univ Singapore, Fac Sci, Singapore 117546, Singapore

来源：

INTERNATIONAL CONFERENCE ON MATHEMATICS, MODELLING AND SIMULATION TECHNOLOGIES AND APPLICATIONS (MMSTA 2017) | 2017年 / 215卷

关键词：

Rural finance; Principal component analysis; Cluster analysis; Comprehensive evaluation;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In the new period, China's countryside has undergone profound changes. At present, China is carrying out agricultural transformation and upgrading as well as supply-side structural reform. Whether the national strategy can achieve significant effect has a strong relationship with rural finance development level. Using 12 economic indicators that reflect rural finance development level, this paper utilizes principal component analysis and cluster analysis to evaluate the rural finance development. The evaluation results show that 31 provinces, cities and autonomous regions can be divided into four categories. By analyzing the reasons for the differences in the level of rural finance development in various regions, the paper puts forward some suggestions for the direction of rural finance development in the future.

引用

页码：658 / 663

页数：6