A Comprehensive Evaluation of Common Wealth Level in 30 Provinces Based on Factor Analysis-Cluster Analysis
DOI:
https://doi.org/10.54097/vjp17y06Keywords:
Factor analysis method; Cluster analysis method; Common wealth level; Comprehensive evaluation that.Abstract
This paper takes the development level of common prosperity of 30 provinces, autonomous regions and municipalities directly under the Central Government of China as the research object, selects 18 economic indicators that can reflect the development (including the degree of wealth and sharing), innovation and sustainability of each province, and uses the principal component factor analysis (FA) and system cluster analysis to comprehensively evaluate the common prosperity level of 30 provinces and municipalities.
Downloads
References
Chen Jing, Yue Haiou, Wu Zhangliang. Evaluation of innovation competitiveness of six national innovative cities in Shandong Province based on principal component analysis and set pair analysis [J]. Information Engineering, 2019, 5 (01): 84-97
Han Liangliang, Peng Yi, Meng Qingna. Digital Inclusive Finance, Entrepreneurship Activity and Common Prosperity: Empirical Research Based on China's Inter provincial Panel Data [J]. Soft Science, 2023,37 (03): 18-24. DOI: 10.13956/j.ss.1001-8409.2023.03.03
Li Rui, Kou Yuting. Dynamic Evolution of China's Common Prosperity Level and Obstacle Factor Analysis [J]. Statistics and Decision Making, 2023,39 (15): 5-10.DOI: 10.13546/j.cnki.tjyjc.2023.15.001
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.