IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i1p111-d1322752.html
   My bibliography  Save this article

The Coupling Coordination and Influencing Factors of Urbanization and Ecological Resilience in the Yangtze River Delta Urban Agglomeration, China

Author

Listed:
  • Qiaoli Chang

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Yuying Sha

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Yi Chen

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

Abstract

Twenty-six cities in the Yangtze River Delta urban agglomeration were taken as the research object, and this study comprehensively evaluated urbanization quality and ecological resilience from 2005 to 2020. On this basis, the spatiotemporal evolution characteristics and main influencing factors of the coupling relationship between urbanization and ecological resilience were systematically explored using a coupling coordination model and panel Tobit regression model. The results can be summarized as follows: (1) from 2005 to 2020, the quality of urbanization in the Yangtze River Delta urban agglomeration continued to grow, the level of ecological resilience grew slowly and fluctuated, and the development among municipalities tended to be balanced. (2) The overall coupling coordination degree of urbanization and ecological resilience showed a continuous increasing trend, and the coupling coordination type changed from basic coupling coordination to good coupling coordination. The number of cities with lagging urbanization quality decreased significantly; spatially, the gap in the coupling coordination degree between municipalities narrowed, and the cities with good coupling gradually clustered. (3) The results of the panel Tobit regression showed that the differences in the spatial evolution of coupling coordination mainly resulted from the interaction of drivers such as real utilized foreign capital, per capita GDP, carbon emission intensity, the proportion of science and technology expenditure to fiscal expenditure, the ratio of per capita disposable income of urban and rural residents, fixed asset investment in municipal utility construction, and the index of ecological land area ratio. In the future, the coupling coordination degree of urbanization and ecological resilience should be improved based on the type of coupling coordination according to local conditions, and the seven influencing factors should be carefully examined to accelerate the high-quality integrated development of the Yangtze River Delta.

Suggested Citation

  • Qiaoli Chang & Yuying Sha & Yi Chen, 2024. "The Coupling Coordination and Influencing Factors of Urbanization and Ecological Resilience in the Yangtze River Delta Urban Agglomeration, China," Land, MDPI, vol. 13(1), pages 1-24, January.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:1:p:111-:d:1322752
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/1/111/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/1/111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kunjie Peng & Xiaorong He & Chunxiao Xu, 2023. "Coupling Coordination Relationship and Dynamic Response between Urbanization and Urban Resilience: Case of Yangtze River Delta," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ying Zhang & Yunyan Li, 2024. "A Study on the Coupling Coordination of Urban Resilience and the Tourism Economy in the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    2. Xiaojia Guo & Jinqiang Li & Yanjie Ma & Xingpeng Chen & Ya Li, 2023. "Study on the Coupling and Coordination between Urban Resilience and Low-Carbon Development of Central Plains Urban Agglomeration," Sustainability, MDPI, vol. 15(24), pages 1-25, December.
    3. Hin Yu Micah Cheung, 2024. "Enriching Regional Economic Dynamics through a Knowledge-Driven Spatial Analysis Model: a Deep Learning Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12293-12336, September.
    4. Wutao Zhao & Jianguo Wang & Yuanhao Xu & Shengbo Chen & Jiawang Zhang & Siqi Tang & Guojian Wang, 2023. "Community Resilience Assessment and Identification of Barriers in the Context of Population Aging: A Case Study of Changchun City, China," Sustainability, MDPI, vol. 15(9), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:1:p:111-:d:1322752. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.