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Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use

Author

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  • Qunxi Gong

    (Business School, Sichuan University, Chengdu 610065, China
    The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China)

  • Gengxuan Guo

    (Business School, Sichuan University, Chengdu 610065, China)

  • Sipan Li

    (Business School, Sichuan University, Chengdu 610065, China)

  • Xuedong Liang

    (Business School, Sichuan University, Chengdu 610065, China
    The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China)

Abstract

Exploring the dynamic relationship and coupling coordination between urban industrial co-agglomeration and intensive land use is vital to ensure high-quality urban development. Based on an industrial co-agglomeration model, a revised intensive land use model, and a coupling coordination model, this paper comprehensively measured the urban industrial co-agglomeration and intensive land use coupling coordination in eight cities in the Chengdu metropolitan area from 2004 to 2018. It was found that despite the structural adjustment of the secondary and tertiary industries during the study period, the industrial co-agglomeration in the Chengdu metropolitan area fluctuated, the intensive urban land use had spatial characteristics that were decreasing from the center to the periphery, and while the general coupling coordination level was increasing, the increase rate in each city was different. The coupling coordination between the urban industry co-agglomeration and the intensive land use was found to have “low-high-low” spatial characteristics from the southwest to the northeast of the Chengdu metropolitan area, which revealed the core position of Chengdu. Suggestions are provided to improve the industrial co-agglomeration and intensive urban land use coupling coordination.

Suggested Citation

  • Qunxi Gong & Gengxuan Guo & Sipan Li & Xuedong Liang, 2021. "Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use," Land, MDPI, vol. 10(5), pages 1-12, May.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:499-:d:550449
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    References listed on IDEAS

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    Cited by:

    1. Chengkun Huang & Feiyang Lin & Deping Chu & Lanlan Wang & Jiawei Liao & Junqian Wu, 2021. "Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities," Land, MDPI, vol. 10(7), pages 1-17, July.
    2. Yu Wang & Lin Zhang, 2023. "The Impact of Technology Innovation on Urban Land Intensive Use in China: Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    3. Bao Meng & Xuxi Wang & Zhifeng Zhang & Pei Huang, 2022. "Spatio-Temporal Pattern and Driving Force Evolution of Cultivated Land Occupied by Urban Expansion in the Chengdu Metropolitan Area," Land, MDPI, vol. 11(9), pages 1-17, September.
    4. Kun Ge & Shan Zou & Xinhai Lu & Shangan Ke & Danling Chen & Zhangsheng Liu, 2022. "Dynamic Evolution and the Mechanism behind the Coupling Coordination Relationship between Industrial Integration and Urban Land-Use Efficiency: A Case Study of the Yangtze River Economic Zone in China," Land, MDPI, vol. 11(2), pages 1-22, February.
    5. Hangang Hu & Lisha Pan & Xin Jing & Guan Li & Yuefei Zhuo & Zhongguo Xu & Yang Chen & Xueqi Wang, 2022. "The Spatiotemporal Non-Stationary Effect of Industrial Agglomeration on Urban Land Use Efficiency: A Case Study of Yangtze River Delta, China," Land, MDPI, vol. 11(5), pages 1-27, May.
    6. Kangning Dong & Hongwei Wang & Kui Luo & Xiaomei Yan & Suyan Yi & Xin Huang, 2024. "The Use of an Optimized Grey Multi-Objective Programming-PLUS Model for Multi-Scenario Simulation of Land Use in the Weigan–Kuche River Oasis, China," Land, MDPI, vol. 13(6), pages 1-20, June.
    7. Yangyang Wang & Yanjun Liu & Guolei Zhou & Zuopeng Ma & Hongri Sun & Hui Fu, 2022. "Coordinated Relationship between Compactness and Land-Use Efficiency in Shrinking Cities: A Case Study of Northeast China," Land, MDPI, vol. 11(3), pages 1-19, March.

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