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Exploring the Spatial Correlation Network and Its Formation Mechanisms in Urban Land Use Performance: A Case Study of the Yangtze River Economic Belt

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  • Hongjia Fang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Ji Chai

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Zhanqi Wang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Rou Zhang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Chao Huang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Meiling Luo

    (School of Accounting, Guangdong University of Foreign Studies, Guangzhou 510420, China)

Abstract

Urban land is the primary location for manufacturing and services, facilitating the expansion and interconnectedness of economic activities and factor flows to shape various urban land-use performances (ULUP). Exploring these spatial linkages of urban land-use performance can play a crucial role in fostering cohesive urban development. Taking 109 prefecture-level cities as research samples, this paper explores the characteristics and influencing factors of the spatial network associated with ULUP in the Yangtze River Economic Belt through modified gravity model, network analysis and QAP analysis. The analysis shows that ULUP has shown an N-shaped trend over the past two decades. It has formed a network of correlations, with Chongqing, Shanghai, and Wuhan emerging as central nodes. Notably, the correlation predominantly occurs between geographically adjacent cities, with weaker links between the Yangtze River Economic Belt’s upstream, midstream, and downstream regions. The network can be divided into four distinct types: main inflow plate, main outflow plate, agent plate, and bidirectional spillover plate. Geographic location is the most significant factor influencing network formation, followed by resource mismatch, economic development, and openness. The study provides theoretical guidance and empirical support for improving the utilisation of urban land and promoting coordinated development.

Suggested Citation

  • Hongjia Fang & Ji Chai & Zhanqi Wang & Rou Zhang & Chao Huang & Meiling Luo, 2024. "Exploring the Spatial Correlation Network and Its Formation Mechanisms in Urban Land Use Performance: A Case Study of the Yangtze River Economic Belt," Land, MDPI, vol. 13(7), pages 1-21, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1019-:d:1430954
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    References listed on IDEAS

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    1. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
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    Cited by:

    1. Xiaofan Luan & Hurex Paryzat & Jun Chu & Xinyi Shu & Hengyu Gu & De Tong & Bowen Li, 2024. "Different roads take me home: the nonlinear relationship between distance and flows during China’s Spring Festival," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    2. Yu He & Guozhu Fang & Chunjie Qi & Yumeng Gu, 2025. "Research on the Spatial Correlation Network and Driving Mechanism of Agricultural Green Development in China," Agriculture, MDPI, vol. 15(7), pages 1-22, March.

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