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Spatiotemporal Variation and Driving Mechanisms of the Global Production-Living-Ecological Space Coupling Coordination Degree

Author

Listed:
  • Weisong Li

    (Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, Wuhan 430205, China
    Collaborative Innovation Center for Emissions Trading System Co-Constructed by the Province and Ministry, Wuhan 430205, China
    Experimental Teaching Center, Hubei University of Economics, Wuhan 430205, China)

  • Yi Zeng

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

  • Yelin Peng

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

  • Wanxu Chen

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

  • Ying Dong

    (Interdisciplinary Research Institute in New Finance and Economics, School of Digital Economics, Hubei University of Economics, Wuhan 430205, China)

  • Ziyan Ye

    (Faculty of Accounting, Hubei University of Economics, Wuhan 430205, China)

  • Yan Chen

    (School of Computer Science, China University of Geosciences, Wuhan 430074, China)

Abstract

The coupling coordination degree (CCD) of the production-living-ecological space (PLES) functional index is an indicator of regional sustainable development potential. However, previous studies have failed to reveal the driving mechanisms of the CCD of PLES functional index on a global scale. Therefore, this study employed the CCD model to evaluate the CCD of the PLES functional index and spatial regression models to measure the heterogeneous drivers using multi-source data in 2000, 2010, and 2020. The results demonstrated that ecological spaces dominated (85%) globally, while living spaces comprised the smallest share (3%). The ecological functional index was higher than the production and living functional indices. Further analyses revealed that topographic factors were the main restricting factors for PLES; the proportion of production and living spaces decreased with increasing altitude and slope, whereas ecological spaces showed the opposite trend. The global CCD values of the PLES functional index in 2000, 2010, and 2020 were 0.186, 0.189, and 0.198, respectively, showing an increasing trend. High CCD was generally observed in areas with dense population and industry where human activity systems interact with natural ecosystems. The formation of the CCD of the global PLES functional pattern results from the joint action of natural and socioeconomic factors, with pronounced spatial heterogeneity. Our findings can help optimize global territorial space utilization, improve territorial space utilization efficiency, and realize global sustainable development goals.

Suggested Citation

  • Weisong Li & Yi Zeng & Yelin Peng & Wanxu Chen & Ying Dong & Ziyan Ye & Yan Chen, 2024. "Spatiotemporal Variation and Driving Mechanisms of the Global Production-Living-Ecological Space Coupling Coordination Degree," Land, MDPI, vol. 13(12), pages 1-22, December.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2136-:d:1539709
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    References listed on IDEAS

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    1. Das, Arijit & Das, Manob, 2023. "Exploring the relationship between quality of living and green spaces in cities: Evidence from an Indian megacity region of global south," Land Use Policy, Elsevier, vol. 129(C).
    2. Rui Bai & Ying Shi & Ying Pan, 2022. "Land-Use Classifying and Identification of the Production-Living-Ecological Space of Island Villages—A Case Study of Islands in the Western Sea Area of Guangdong Province," Land, MDPI, vol. 11(5), pages 1-20, May.
    3. Anselin, Luc, 1988. "A test for spatial autocorrelation in seemingly unrelated regressions," Economics Letters, Elsevier, vol. 28(4), pages 335-341.
    4. 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.
    5. Ning Xu & Wanxu Chen & Sipei Pan & Jiale Liang & Jiaojiao Bian, 2022. "Evolution Characteristics and Formation Mechanism of Production-Living-Ecological Space in China: Perspective of Main Function Zones," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    6. Xinghua Cui & Ning Xu & Wanxu Chen & Guanzheng Wang & Jiale Liang & Sipei Pan & Binqiao Duan, 2022. "Spatio-Temporal Variation and Influencing Factors of the Coupling Coordination Degree of Production-Living-Ecological Space in China," IJERPH, MDPI, vol. 19(16), pages 1-26, August.
    7. Fu, Jingying & Bu, Ziqiang & Jiang, Dong & Lin, Gang & Li, Xiang, 2022. "Sustainable land use diagnosis based on the perspective of production–living–ecological spaces in China," Land Use Policy, Elsevier, vol. 122(C).
    8. Zhenhua Dong & Jiquan Zhang & Alu Si & Zhijun Tong & Li Na, 2020. "Multidimensional Analysis of the Spatiotemporal Variations in Ecological, Production and Living Spaces of Inner Mongolia and an Identification of Driving Forces," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    9. Duan, Yaming & Wang, Hui & Huang, An & Xu, Yueqing & Lu, Longhui & Ji, Zhengxin, 2021. "Identification and spatial-temporal evolution of rural “production-living-ecological” space from the perspective of villagers’ behavior – A case study of Ertai Town, Zhangjiakou City," Land Use Policy, Elsevier, vol. 106(C).
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