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Coupling and Coordinated Development Analysis of Digital Economy, Economic Resilience, and Ecological Protection

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  • Danxue Fan

    (School of Statistics and Data Science, Lanzhou University of Finance and Economics, Lanzhou 730020, China
    School of Economics and Management, Lanzhou Vocational Technical College, Lanzhou 730070, China)

  • Meiyue Li

    (School of International Economics and Trade, Lanzhou University of Finance and Economics, Lanzhou 730020, China)

Abstract

At the critical stage of China’s economic transformation, promoting integrated development among the digital economy, economic resilience, and ecological protection becomes essential to achieve high-quality national development. This study takes 30 Chinese provinces (autonomous regions/municipalities) as research subjects. A comprehensive index system evaluates coupling coordination among the digital economy, economic resilience, and ecological protection. The three-system coupled coordination model and obstacle degree model are employed. The research investigates comprehensive evaluation levels of these three systems. Evolutionary characteristics of their coupled coordination are analyzed. Influencing factors are identified through systematic examination. Key findings reveal: (1) Provincial digital economy, economic resilience, and ecological protection generally maintained good comprehensive evaluation levels between 2011 and 2021. Significant regional development imbalances persist nationwide. (2) Coupled coordination among the three systems remains moderate but shows overall growth trends. Development characteristics demonstrate notable temporal inadequacies and spatial imbalances. Provinces achieving primary and intermediate coordination levels increased from 1 to 12 during the study period. (3) Spatial autocorrelation features prominently in the three-system coordination. Cold and hot spot areas exhibit clustered distribution patterns. (4) Main obstacles constraining three-system coupling coordination show temporal and regional variations. These evolving barriers collectively form a dynamic coupling system. Policy recommendations include: Advancing coordinated development and organic integration of the three systems; enhancing cross-regional collaboration to reduce spatial and systemic disparities; and implementing multi-source driving strategies to strengthen coordinated development momentum.

Suggested Citation

  • Danxue Fan & Meiyue Li, 2025. "Coupling and Coordinated Development Analysis of Digital Economy, Economic Resilience, and Ecological Protection," Sustainability, MDPI, vol. 17(9), pages 1-25, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4122-:d:1648371
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    1. Chen, Yufeng & Xu, Jing, 2023. "Digital transformation and firm cost stickiness: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    2. Sun, Guanglin & Fang, Jiming & Li, Jinning & Wang, Xiaolin, 2024. "Research on the impact of the integration of digital economy and real economy on enterprise green innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. J. Keith Ord & Arthur Getis, 2001. "Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 411-432, August.
    4. Qiaoli Chang & Yuying Sha & Yi Chen, 2024. "The Coupling Coordination and Influencing Factors of Urbanization and Ecological Resilience in the Yangtze River Delta Urban Agglomeration, China," Land, MDPI, vol. 13(1), pages 1-24, January.
    5. Danyu Huang & Chunye Huang, 2024. "The Impact of Digital Economy Development on Improving the Ecological Environment—An Empirical Analysis Based on Data from 30 Provinces in China from 2012 to 2021," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
    6. K. Krishnamoorthy & Meesook Lee, 2014. "Improved tests for the equality of normal coefficients of variation," Computational Statistics, Springer, vol. 29(1), pages 215-232, February.
    7. Yue Pan & Gangmin Weng & Conghui Li & Jianpu Li, 2021. "Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    8. Zhe Cheng & Tianyu Zhao & Yixin Zhu & Hanshi Li, 2022. "Evaluating the Coupling Coordinated Development between Regional Ecological Protection and High-Quality Development: A Case Study of Guizhou, China," Land, MDPI, vol. 11(10), pages 1-14, October.
    9. Yang, Yang & Lin, Zibo & Xu, Zhaoyi & Liu, Shuwen, 2024. "The impact of digital finance on regional economic resilience," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    10. Suo, Xuekun & Zhang, Longting & Guo, Rong & Lin, Han & Yu, Mingchuan & Du, Xiuhong, 2024. "The inverted U-shaped association between digital economy and corporate total factor productivity: A knowledge-based perspective," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    11. Chengkun Huang & Feiyang Lin & Deping Chu & Lanlan Wang & Jiawei Liao & Junqian Wu, 2021. "Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities," Land, MDPI, vol. 10(7), pages 1-17, July.
    12. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
    13. Ahmet Koseoglu & Ali Gokhan Yucel & Recep Ulucak, 2022. "Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 976-988, October.
    14. Dong, Qianyu & Zhong, Kaiyi & Liao, Yijia & Xiong, Runli & Wang, Fengbo & Pang, Min, 2023. "Coupling coordination degree of environment, energy, and economic growth in resource-based provinces of China," Resources Policy, Elsevier, vol. 81(C).
    15. Yin, Xiuling & Xu, Zhaoran, 2022. "An empirical analysis of the coupling and coordinative development of China's green finance and economic growth," Resources Policy, Elsevier, vol. 75(C).
    16. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
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