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Identifying Trade-Offs and Synergies of Production–Living–Ecological Functions and Their Drivers: The Case of Yangtze River Urban Agglomerations in China

Author

Listed:
  • Liang Zheng

    (Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430074, China
    Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resources, Wuhan 430074, China)

  • Yajing Wang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    China Key Laboratory of Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Hui Yang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    China Key Laboratory of Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Yuzhe Bi

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    China Key Laboratory of Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Lei Xu

    (Wuhan Economic and Technological Development Zone (Hannan District) Natural Resources and Planning Bureau, Wuhan 430056, China)

  • Ying Wang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    China Key Laboratory of Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

Abstract

Urban agglomerations are products of urban development, and their regional spaces and functions are more diverse than other cities, which have very high spatial and functional complexity. It is important to clarify the relationships between production–living–ecological (PLE) functions in urban agglomerations to achieve sustainable development. In this study, we took the Middle Reaches of the Yangtze River Urban Agglomerations (MRYRUA) as an example to construct an evaluation index system of regional PLE functions in urban agglomerations. Then, the Pearson correlation model and geographically weighted regression were applied to investigate the relationships between PLE functions and their driving forces. The results showed that the PLE functions in the MRYRUA increased from 2008 to 2018, with the level of the ecological function being higher than the production and living functions. The relationships among PLE functions were dominated by synergies in most cities, though trade-offs had become more evident in the last few years for the whole study area. Trade-offs and synergies among PLE functions were influenced by both natural and socioeconomic factors, with the latter having a stronger effect. Our findings provide a reference for understanding the spatial variations and trade-offs among PLE functions in MRYRUA as well as for balancing the development of PLE functions.

Suggested Citation

  • Liang Zheng & Yajing Wang & Hui Yang & Yuzhe Bi & Lei Xu & Ying Wang, 2024. "Identifying Trade-Offs and Synergies of Production–Living–Ecological Functions and Their Drivers: The Case of Yangtze River Urban Agglomerations in China," Land, MDPI, vol. 13(8), pages 1-20, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1322-:d:1460625
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    References listed on IDEAS

    as
    1. Yanqiong Zhao & Jinhua Cheng & Yongguang Zhu & Yanpu Zhao, 2021. "Spatiotemporal Evolution and Regional Differences in the Production-Living-Ecological Space of the Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 18(23), pages 1-19, November.
    2. Furui Xi & Runping Wang & Jusong Shi & Jinde Zhang & Yang Yu & Na Wang & Zhiyi Wang, 2022. "Spatio-Temporal Pattern and Conflict Identification of Production–Living–Ecological Space in the Yellow River Basin," Land, MDPI, vol. 11(5), pages 1-22, May.
    3. Yingxian Deng & Ren Yang, 2021. "Influence Mechanism of Production-Living-Ecological Space Changes in the Urbanization Process of Guangdong Province, China," Land, MDPI, vol. 10(12), pages 1-20, December.
    4. Zhang, Jing & Li, Sinan & Lin, Naifa & Lin, Yue & Yuan, Shaofeng & Zhang, Ling & Zhu, Jinxia & Wang, Ke & Gan, Muye & Zhu, Congmou, 2022. "Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China," Land Use Policy, Elsevier, vol. 116(C).
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