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Coupling and Coordination Development, Spatiotemporal Evolution, and Driving Factors of China’s Digital Countryside and Inclusive Green Growth in Rural Areas

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  • Liupeng Chen

    (School of Rural Revitalisation, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yiting Wang

    (School of Rural Revitalisation, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yingzheng Yan

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Ziwei Zhou

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Bangsheng Xie

    (School of Rural Revitalisation, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Xiaodong You

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Inclusive green growth is an effective strategy for achieving sustainable development in rural areas. In the digital economy era, it is crucial to examine whether rural digital development and inclusive green growth can be harmoniously integrated. This study investigates the spatial and temporal evolution of the coupled coordination between digital village construction and rural inclusive green growth in China. Utilizing panel data from 30 provinces from 2011 to 2022, we assess development levels using the entropy weighting method and analyze interdependencies with a coupling coordination model. The results indicate an upward trend in coupling coordination, with significant regional disparities, and it is slowly taking on the characteristics of spatial clustering. Economically advanced regions exhibit higher coordination levels, attributed to stronger economic foundations and better fiscal resources, enabling effective investments in digital infrastructure and green growth initiatives. Additionally, factors such as urbanization rate, innovation levels, reduction in natural disasters, increased financial support for agriculture, and improved large-scale operations positively contribute to this coordination. These findings offer insights for targeted regional development strategies, enhancing the synergy between digital transformation and sustainable rural development.

Suggested Citation

  • Liupeng Chen & Yiting Wang & Yingzheng Yan & Ziwei Zhou & Bangsheng Xie & Xiaodong You, 2024. "Coupling and Coordination Development, Spatiotemporal Evolution, and Driving Factors of China’s Digital Countryside and Inclusive Green Growth in Rural Areas," Sustainability, MDPI, vol. 16(13), pages 1-31, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5583-:d:1425589
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    References listed on IDEAS

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    1. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
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    Cited by:

    1. Haohui Liu & Wei Liu & Junyue Wang & Liangqi Wang & Kaiming Li & Fen Zhao, 2025. "Multi-Scenario Prediction and Driving Factor Analysis of Fractional Vegetation Cover in the Beijing–Tianjin–Hebei Urban Cluster," Sustainability, MDPI, vol. 17(17), pages 1-16, August.
    2. Jinwei Lv & Xinyu Guo & Haiwei Jiang, 2025. "Rural E-Commerce and Income Inequality: Evidence from China," Sustainability, MDPI, vol. 17(10), pages 1-32, May.

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