Different city economic evaluation models based on main analytic hierarchy Process model
DOI:
https://doi.org/10.54691/bcpbm.v27i.2027Keywords:
comprehensive economy; principal component analysis; cluster analysis; KMO and Bartlett test.Abstract
In this paper, 21 cities and autonomous prefectures in Sichuan Province are taken as samples, and the data extracted from 19 economic evaluation indexes are used to verify the correlation and partial correlation between index variables by KMO test and Bartlett sphericity test. Then, principal component analysis is performed, and the information is concentrated on several different factors through factor rotation. Finally, the ranking of its city's comprehensive economic strength is obtained. Combined with the cluster analysis model, the cities are divided into three categories by correlation according to the selected nineteen economic impact indicators. Based on quantitative principal component analysis and qualitative cluster analysis, the final comprehensive economic strength ranking of cities in Sichuan Province is given by comparing the results of the two rankings. The results show that Chengdu belongs to the first category of cities, with outstanding economic indicators, and other cities belong to the second or third category of cities.
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