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Spatiotemporal Patterns and Coupling Coordination Analysis of Multiscale Social–Economic–Ecological Effects in Ecologically Vulnerable Areas Based on Multi-Source Data: A Case Study of the Tuha Region, Xinjiang Province

Author

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  • Yanfei Kou

    (College of Earth Sciences, Guilin University of Technology, Guilin 541004, China
    Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
    Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100094, China)

  • Sanming Chen

    (School of Computer Science and Engineering, Guilin Institute of Aerospace Industry, Guilin 541004, China)

  • Kefa Zhou

    (Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China)

  • Ziyun Qiu

    (Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100094, China
    School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, China)

  • Jiaming He

    (College of Earth Sciences, Guilin University of Technology, Guilin 541004, China)

  • Xian Shi

    (School of Computer Science and Engineering, Guilin Institute of Aerospace Industry, Guilin 541004, China)

  • Xiaozhen Zhou

    (Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China)

  • Qing Zhang

    (Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
    Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

Ecologically fragile areas are confronted with the contradiction between economic development and ecological protection, especially in the Tuha region (Turpan and Hami), where the extremely vulnerable ecological environment limits local sustainable development. To address this, this study utilizes POI (Point of Interest) data, land use, and socioeconomic statistical data to achieve spatial quantification of indicators on a kilometer grid scale, constructing a multi-factor, multi-dimensional evaluation system for the socioeconomic and ecological effects of sustainable development based on SDGs (Sustainable Development Goals). The entropy method, comprehensive evaluation method, coupling coordination degree model, and geographical detector method are used to analyze the coupling relationships between systems at different scales and the factors influencing the system’s coupling coordination degree. The results indicate that from 2010 to 2020, the economic, social, and ecological systems of the Tuha region, as well as their comprehensive scores, exhibited spatial similarity. The economic system showed an upward trend, the social system displayed an inverted U-shaped trend of rising then declining, while the ecological system presented a U-shaped trend of declining then increasing. At the county scale, the coupling coordination degree closely approximates the trend of the comprehensive coordination index, showing a continuous upward trajectory. Compared with Turpan city, Hami city, especially Yizhou district, exhibits the best development in coupling coordination degree, while the growth in coupling coordination degree is most significant in Gaochang district. The main factors influencing the degree of coupling coordination are grain production and GDP (gross domestic product). This study provides a new perspective on the quantification of sustainable development indicators, which is of great significance for balancing economic and social development with ecological protection and promoting the coupled and coordinated development of society, economy, and ecology in ecologically fragile areas.

Suggested Citation

  • Yanfei Kou & Sanming Chen & Kefa Zhou & Ziyun Qiu & Jiaming He & Xian Shi & Xiaozhen Zhou & Qing Zhang, 2024. "Spatiotemporal Patterns and Coupling Coordination Analysis of Multiscale Social–Economic–Ecological Effects in Ecologically Vulnerable Areas Based on Multi-Source Data: A Case Study of the Tuha Region," Land, MDPI, vol. 13(3), pages 1-30, February.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:282-:d:1345324
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    References listed on IDEAS

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    Cited by:

    1. Yanan Lian & Jie Fan & Chen Lu, 2024. "A Study on the Spatio-Temporal Evolution Characteristics of Social Development Levels in China," Land, MDPI, vol. 13(5), pages 1-18, April.

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