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The Spatio-Temporal Characteristics and Factors Influencing of the Multidimensional Coupling Relationship Between the Land Price Gradient and Industrial Gradient in the Beijing–Tianjin–Hebei Urban Agglomeration

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  • Deqi Wang

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
    Research Institute for Integrated Urban-Rural and Territorial Space Governance, Capital University of Economics and Business, Beijing 100070, China)

  • Wei Liang

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
    Research Institute for Integrated Urban-Rural and Territorial Space Governance, Capital University of Economics and Business, Beijing 100070, China)

Abstract

When considering an urban agglomeration as a unit, promoting the coupling and coordination of the land price gradient and industrial gradient is crucial for achieving regional integrated development. We selected the Beijing–Tianjin–Hebei Urban Agglomeration (BTHUA) as a case study; constructed a three-dimensional analytical framework involving static coupling, dynamic coupling, and spatial matching; theoretically clarified the coupling mechanism between the land price gradient and industrial gradient; and systematically assessed their spatial-temporal patterns and coupling characteristics. The results indicate that from 2012 to 2022, both the land price gradient and industrial gradient within the BTHUA exhibited a “core-periphery” spatial distribution, gradually forming an over-all pattern of “one core, multiple nodes, and multi-level rings.” For the Beijing–Tianjin–Hebei urban agglomeration, overall static coupling and spatial matching exhibit an evolutionary trajectory of “first rising, then declining.” By contrast, dynamic coupling remains relatively weak, exhibiting a corridor-shaped distribution along core and sub-core cities. All three indicators consistently show that core cities outperform peripheral cities. Nonlinear mechanism analysis based on the gradient boosting decision tree method showed that “second-nature” factors like economic development and public utilities significantly promote multidimensional coupling. Conversely, “first-nature” factors, such as geographic conditions, have limited impacts with threshold effects; surpassing these thresholds results in inhibitory effects. Based on the research findings, this study proposes that regional integration should serve as the guiding principle, emphasizing the cultivation of regional development corridors, the implementation of flexible and functionally aligned land supply policies, the strengthening of land use performance audits, and the reorientation of fiscal and financial policies toward structural and qualitative improvements. These measures can provide valuable references for promoting coordinated industrial development and balanced land allocation in urban agglomerations.

Suggested Citation

  • Deqi Wang & Wei Liang, 2025. "The Spatio-Temporal Characteristics and Factors Influencing of the Multidimensional Coupling Relationship Between the Land Price Gradient and Industrial Gradient in the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 17(18), pages 1-36, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8153-:d:1746536
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    References listed on IDEAS

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