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Dynamic change and evolutionary mechanism of city land leasing network—Taking the Yangtze River Delta region in China as an example

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  • Wang, Hongzheng
  • Lu, Xinhai
  • Feng, Lianyue
  • Yuan, Zhihang
  • Tang, Yifeng
  • Jiang, Xu

Abstract

Mapping city networks has attracted scholarly attention in urban studies, while the relevant studies focusing on land elements are lacking. This study aims to address and fill this research gap by analyzing across-city land leasing relationships. Using Yangtze River Delta region (YRDR) in China as a case, we explore the dynamic change and evolutionary mechanism of city land leasing network based on urban land leasing data and temporal exponential random graph model (TERGM). The findings reveal that: 1) At the macro level, as the interconnections between cities in the YRDR grow stronger, the inter-city flow of land elements has become growingly convenient and accessible, there is a corresponding increase in the frequency of land use rights transfer between cities. This has led to the emergence of a more intricate and interconnected city land leasing network in the YRDR. 2) At the medium level, city land leasing network in the YRDR fosters land leasing communities within province boundary. Shanghai community is identified as the strongest community, which establish a compact relationship with a large number of cities in Zhejiang, Jiangsu, and Anhui provinces. The province of Zhejiang, Jiangsu, and Anhui have also foster communities with provincial capitals as the core, respectively. 3) At the individual level, Shanghai is the primary recipient city in terms of cross-city land leasing relationships, followed by provincial capital cities of Hangzhou, Nanjing, and Hefei. 4) Significant effects, including endogenous structural effects, actor-relation effects, exogenous network effects, and time effects, could be found in the city land leasing network of the YRDR. The city land leasing network in the YRDR is influenced by endogenous structural factors such as popularity, transitivity, and connectivity. Cities with low economic development levels, strong land leasing intervention, high real estate development investment levels, and high land leasing prices are more likely to lease land to other cities. Cities with higher levels of economic development, higher levels of industrial structure upgrading, higher levels of real estate development investment, and higher land prices are more likely to lease land from other cities. Furthermore, cities within the same province or within Yangtze River Delta Urban Agglomerations (YRDUR) are more likely to foster inter-city land leasing relationships, while the distance between cities negatively affects the establishment of inter-city land leasing relationships.

Suggested Citation

  • Wang, Hongzheng & Lu, Xinhai & Feng, Lianyue & Yuan, Zhihang & Tang, Yifeng & Jiang, Xu, 2023. "Dynamic change and evolutionary mechanism of city land leasing network—Taking the Yangtze River Delta region in China as an example," Land Use Policy, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:lauspo:v:132:y:2023:i:c:s0264837723002879
    DOI: 10.1016/j.landusepol.2023.106821
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    References listed on IDEAS

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    1. Xu, Helian & Feng, Lianyue & Wu, Gang & Zhang, Qi, 2021. "Evolution of structural properties and its determinants of global waste paper trade network based on temporal exponential random graph models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    2. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    4. Peter J. Taylor & Ben Derudder & James Faulconbridge & Michael Hoyler & Pengfei Ni, 2014. "Advanced Producer Service Firms as Strategic Networks, Global Cities as Strategic Places," Economic Geography, Clark University, vol. 90(3), pages 267-291, July.
    5. Liu, Yong & Fan, Peilei & Yue, Wenze & Song, Yan, 2018. "Impacts of land finance on urban sprawl in China: The case of Chongqing," Land Use Policy, Elsevier, vol. 72(C), pages 420-432.
    6. Wang, Shiguang & Yu, Dexin & Kwan, Mei-Po & Zheng, Lili & Miao, Hongzhi & Li, Yongxing, 2020. "The impacts of road network density on motor vehicle travel: An empirical study of Chinese cities based on network theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 144-156.
    7. Desmarais, B.A. & Cranmer, S.J., 2012. "Statistical mechanics of networks: Estimation and uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1865-1876.
    8. Lu, Shenghua & Wang, Hui, 2020. "Local economic structure, regional competition and the formation of industrial land price in China: Combining evidence from process tracing with quantitative results," Land Use Policy, Elsevier, vol. 97(C).
    9. Allan Watson & Jonathan V. Beaverstock, 2014. "World City Network Research at a Theoretical Impasse: On the Need to Re-Establish Qualitative Approaches to Understanding Agency in World City Networks," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(4), pages 412-426, September.
    10. Peter J. Taylor & Ben Derudder & James Faulconbridge & Michael Hoyler & Pengfei Ni, 2014. "Advanced Producer Service Firms as Strategic Networks, Global Cities as Strategic Places," Economic Geography, Taylor & Francis Journals, vol. 90(3), pages 267-291, July.
    11. Wang, Jiaoe & Du, Delin & Huang, Jie, 2020. "Inter-city connections in China: High-speed train vs. inter-city coach," Journal of Transport Geography, Elsevier, vol. 82(C).
    12. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
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