The Application of Principal Component Analysis and the Wilson Model in Urban Economics
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 correlatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/13/10/1617 |
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| author | Yiwei Chen Congbin Guo Junhao Fu |
| author_facet | Yiwei Chen Congbin Guo Junhao Fu |
| author_sort | Yiwei Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ca1fa8d5aafd4fc49f2f005385201359 |
| institution | OA Journals |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-ca1fa8d5aafd4fc49f2f0053852013592025-08-20T01:56:24ZengMDPI AGMathematics2227-73902025-05-011310161710.3390/math13101617The Application of Principal Component Analysis and the Wilson Model in Urban EconomicsYiwei Chen0Congbin Guo1Junhao Fu2School of Economics and Management, China Jilliang University, Hangzhou 310018, ChinaInstitute of Education Financials, Peking University, Beijing 100091, ChinaSchool of Economics and Management, China Jilliang University, Hangzhou 310018, ChinaThis 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.https://www.mdpi.com/2227-7390/13/10/1617principal component analysisWilson modelspatial information diffusion capabilityurban economics |
| spellingShingle | Yiwei Chen Congbin Guo Junhao Fu The Application of Principal Component Analysis and the Wilson Model in Urban Economics Mathematics principal component analysis Wilson model spatial information diffusion capability urban economics |
| title | The Application of Principal Component Analysis and the Wilson Model in Urban Economics |
| title_full | The Application of Principal Component Analysis and the Wilson Model in Urban Economics |
| title_fullStr | The Application of Principal Component Analysis and the Wilson Model in Urban Economics |
| title_full_unstemmed | The Application of Principal Component Analysis and the Wilson Model in Urban Economics |
| title_short | The Application of Principal Component Analysis and the Wilson Model in Urban Economics |
| title_sort | application of principal component analysis and the wilson model in urban economics |
| topic | principal component analysis Wilson model spatial information diffusion capability urban economics |
| url | https://www.mdpi.com/2227-7390/13/10/1617 |
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