The Application of Principal Component Analysis and the Wilson Model in Urban Economics

Yiwei Chen, Congbin Guo () and Junhao Fu
Additional contact information
Yiwei Chen: School of Economics and Management, China Jilliang University, Hangzhou 310018, China
Congbin Guo: Institute of Education Financials, Peking University, Beijing 100091, China
Junhao Fu: School of Economics and Management, China Jilliang University, Hangzhou 310018, China

Mathematics, 2025, vol. 13, issue 10, 1-18

Abstract: This article first selects the “Urban Statistical Yearbook” data of 264 prefecture-level cities in China from 2004 to 2018 as the raw data, and uses principal component analysis and the Wilson model to calculate the spatial information diffusion capacity of each prefecture-level city. The correlation analysis between industrial agglomeration, spatial information diffusion capacity, and urban economic resilience is verified, and this article provides reference materials for the specific application of principal component analysis and the Wilson model in urban economics.

Keywords: principal component analysis; Wilson model; spatial information diffusion capability; urban economics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/13/10/1617/pdf (application/pdf)
https://www.mdpi.com/2227-7390/13/10/1617/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:13:y:2025:i:10:p:1617-:d:1655863

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().