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Measurement and Prediction of Coupling Coordination Level of Economic Development, Social Stability and Ecological Environment in Qinghai—Thoughts on Sustainable Societal Safety

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  • Shuai Ye

    (School of Geographical Science, Qinghai Normal University, Xining 810008, China
    Faculty of Management and Business, Tampere University, 33014 Tampere, Finland
    Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province & Beijing Normal University, Xining 810016, China)

  • Yuejing Ge

    (School of Geographical Science, Qinghai Normal University, Xining 810008, China
    Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province & Beijing Normal University, Xining 810016, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Shiyu Xu

    (School of Geographical Science, Qinghai Normal University, Xining 810008, China)

  • Xiaofan Ma

    (School of Geographical Science, Qinghai Normal University, Xining 810008, China)

Abstract

Societal safety is the result of the coordinated development of several subsystems; the coupling–coordination relationship among economic development (ED), social stability (SS), and ecological environment (EE) is the premise of realizing sustainable societal safety (SSS). Taking Qinghai Province as an example, this paper quantitatively evaluates the development index of each subsystem by constructing ED-SS-EE evaluation index system, then analyzes the spatio-temporal evolution of ED, SS, and EE coupling coordination levels based on the coupling coordination model, and finally predicts the coupling coordination level of ED, SS, and EE by using the GM(1.1) model. The findings are as follows: (1) The economy is developing rapidly, but the regional development is extremely uneven; ED is driving SS, and SS lags behind ED and slowly improves; EE is improving continuously, and the spatial pattern is relatively stable. (2) The ED, SS, and EE systems have a high degree of coupling, showing a fluctuating upward trend. Coordination level is low, showing a slow upward trend, and the regional differences are obvious. (3) In the future, the coordination level of ED, SS, and EE systems in different regions will be upgraded from the level of near imbalance and barely coordination to the level of intermediate coordination, good coordination, and even high-quality coordination. The spatio-temporal description of ED, SS, and EE coupling coordination level not only reveals the development trend and problems of SSS in Qinghai, it also proves the feasibility of evaluating societal safety level based on the coupling coordination level of sustainable social structure system.

Suggested Citation

  • Shuai Ye & Yuejing Ge & Shiyu Xu & Xiaofan Ma, 2022. "Measurement and Prediction of Coupling Coordination Level of Economic Development, Social Stability and Ecological Environment in Qinghai—Thoughts on Sustainable Societal Safety," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10515-:d:895758
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    References listed on IDEAS

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    1. Chengsong Wang & Qian Yang & Shanhua Wu, 2022. "Coordinated Development Relationship between Port Cluster and Its Hinterland Economic System Based on Improved Coupling Coordination Degree Model: Empirical Study from China’s Port Integration," Sustainability, MDPI, vol. 14(9), pages 1-13, April.
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    4. Susanna Sironen & Jyri Seppälä & Pekka Leskinen, 2015. "Towards more non-compensatory sustainable society index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(3), pages 587-621, June.
    5. Jian-Sheng Ye & James Reynolds & Guo-Jun Sun & Feng-Min Li, 2013. "Impacts of increased variability in precipitation and air temperature on net primary productivity of the Tibetan Plateau: a modeling analysis," Climatic Change, Springer, vol. 119(2), pages 321-332, July.
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    1. Zhenhua Xu & Fuyi Ci, 2023. "Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    2. Yaou Ji & Qianqian Sheng & Zunling Zhu, 2023. "Assessment of Ecological Benefits of Urban Green Spaces in Nanjing City, China, Based on the Entropy Method and the Coupling Harmonious Degree Model," Sustainability, MDPI, vol. 15(13), pages 1-17, July.

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