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

Weisong Li, Yi Zeng, Yelin Peng, Wanxu Chen (), Ying Dong, Ziyan Ye and Yan Chen
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Weisong Li: Hubei Key Laboratory of Digital Finance Innovation, 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

Land, 2024, vol. 13, issue 12, 1-22

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.

Keywords: PLES; spatiotemporal pattern; CCD; driving forces; geographically weighted regression; global (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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