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Academic Journal of Business & Management, 2022, 4(5); doi: 10.25236/AJBM.2022.040510.

Study on Economic Impact Indicators of Different Cities Based on Principal Component Analysis and Cluster Analysis


Tiantian Li1, Xinyue Chen2

Corresponding Author:
​Tiantian Li

1School of Mathematics and Statistics, Hubei University of Arts and Science, Xiangyang, Hubei, China

2Cryptographic Engineering Institute, Inforamation Engineering University, Zhengzhou, Henan, China


Economic strength has always been an important indicator for evaluating a county and a city. In this paper, a total of 19 indicators are used to construct an evaluation index system for regional economic. Taking 21 cities and autonomous prefectures in Sichuan Province as samples, three principal component indexes are selected to reflect most of the information of the original indexes, and the ranking of their comprehensive economic strength is obtained. According to the cluster analysis model, the 19 selected economic impact indicators are divided into five categories through correlation. In each sub-category, combined with principal component analysis, the ranking of cities is obtained, and the final ranking of Sichuan's comprehensive economic strength is given by comparing the results of two rankings. Then we gave Suggestions for adjustment and development.


Comprehensive economy; Principal component analysis; Cluster analysis; KMO and Bartlett test

Cite This Paper

Tiantian Li, Xinyue Chen. Study on Economic Impact Indicators of Different Cities Based on Principal Component Analysis and Cluster Analysis. Academic Journal of Business & Management (2022) Vol. 4, Issue 5: 47-51. https://doi.org/10.25236/AJBM.2022.040510.


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