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Research on the Spatial–Temporal Synthetic Measurement of the Coordinated Development of Population-Economy-Society-Resource-Environment (PESRE) Systems in China Based on Geographic Information Systems (GIS)

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  • Chenyu Lu

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Jiaqi Yang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Hengji Li

    (Information Center for Global Change Studies, Lanzhou Information Center of Chinese Academy of Sciences, Lanzhou 730000, China)

  • Shulei Jin

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Min Pang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Chengpeng Lu

    (Institute for County Economy Developments & Rural Revitalization Strategy, Lanzhou University, Lanzhou 730000, China)

Abstract

The issue of how to realize the coordinated development of various elements in human–land systems, or, in other words, how to achieve the coordinated development of population-economy-society-resource-environment (PESRE) systems, has become an important topic, which has received global attention. This study takes 31 provinces in China as the research objects, and carries out the research on the spatial–temporal synthetic measurement of the coordinated development of PESRE systems. The conclusions are as follows. From 1995 to 2015, the process of change of coupling coordination degree of China’s PESRE systems can be divided into two types: Rising first and then declining, and fluctuant continuously. The number of provinces of the first type was higher, and most provinces were on the verge of uncoordinated development status or in a weakly coordinated development status. The coupling degree of PESRE systems at the provincial level in China generally shows some positive spatial correlations, and the level of coordinated development displays some obvious spatial aggregation patterns. Moreover, the degree of such aggregation first increases and then weakens. The eastern parts of China represent the main “high-high” type aggregation regions. The central and western parts of China represent the main “low-low” types, account for the largest proportion, and display obvious aggregation characteristics.

Suggested Citation

  • Chenyu Lu & Jiaqi Yang & Hengji Li & Shulei Jin & Min Pang & Chengpeng Lu, 2019. "Research on the Spatial–Temporal Synthetic Measurement of the Coordinated Development of Population-Economy-Society-Resource-Environment (PESRE) Systems in China Based on Geographic Information System," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2877-:d:232892
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    Cited by:

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    2. Qian Zhao & Jianyuan Huang & Jiahao Yu & Xiao Du & Cong Li, 2022. "Research on the Coordinated Development of Population–Resources–Environment (PRE) Systems: An Empirical Analysis from Jiangsu Province, China," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    3. Jianwan Ji & Shixin Wang & Yi Zhou & Wenliang Liu & Litao Wang, 2021. "Spatiotemporal Change and Coordinated Development Analysis of “Population-Society-Economy-Resource-Ecology-Environment” in the Jing-Jin-Ji Urban Agglomeration from 2000 to 2015," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    4. Xiaojia Guo & Yu Qiao & Jinqiang Li & Xingpeng Chen & Ya Li, 2023. "Sustainable Transformation Evaluation and Obstacle Factor Analysis of Mature Coal Resource Cities: A Study Using Jinzhong City as an Example," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    5. Wang, Mengmeng & Zhou, Tao, 2022. "Understanding the dynamic relationship between smart city implementation and urban sustainability," Technology in Society, Elsevier, vol. 70(C).
    6. Guoen Wei & Pingjun Sun & Zhenke Zhang & Xiao Ouyang, 2020. "The Coordinated Relationship between Investment Potential and Economic Development and Its Driving Mechanism: A Case Study of the African Region," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    7. Hongqiang Wang & Xiaochang Lu & Qiujing Guo & Yingjie Zhang, 2023. "The Spatiotemporal Measurement of Coordinated Development of Resource-Environment-Economy Based on Empirical Analysis from China’s 30 Provinces," Sustainability, MDPI, vol. 15(8), pages 1-20, April.

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