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

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  • Yiwei Chen

    (School of Economics and Management, China Jilliang University, Hangzhou 310018, China
    Institute of Education Financials, Peking University, Beijing 100091, 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)

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.

Suggested Citation

  • Yiwei Chen & Congbin Guo & Junhao Fu, 2025. "The Application of Principal Component Analysis and the Wilson Model in Urban Economics," Mathematics, MDPI, vol. 13(10), pages 1-18, May.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:10:p:1617-:d:1655863
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    References listed on IDEAS

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    1. Gianmarco Ottaviano & Takatoshi Tabuchi & Jacques-François Thisse, 2021. "Agglomeration And Trade Revisited," World Scientific Book Chapters, in: Firms and Workers in a Globalized World Larger Markets, Tougher Competition, chapter 3, pages 59-85, World Scientific Publishing Co. Pte. Ltd..
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