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Digital Village Construction: A Multi-Level Governance Approach to Enhance Agroecological Efficiency

Author

Listed:
  • Jin Ren

    (School of Economics and Management, Chongqing Normal University, Chongqing 401331, China)

  • Xinrui Chen

    (School of Economics and Management, Chongqing Normal University, Chongqing 401331, China)

  • Lefeng Shi

    (National Center for Applied Mathematics in Chongqing, Chongqing 401331, China)

  • Ping Liu

    (School of Computer and Information Sciences, Chongqing Normal University, Chongqing 401331, China)

  • Zhixiong Tan

    (School of Public Policy and Administration, Chongqing University, Chongqing 400044, China)

Abstract

This study conducts a comprehensive analysis of China’s digital village construction, emphasizing its role in rural organizational governance, from bureaucracies to self-governance bodies to market forces and social organizations. Utilizing sample data from 30 provinces from 2014 to 2020, the study dissects the dynamics and diversity of multi-level governance in bolstering agroecological efficiency (AEE). Notable insights include a significant positive correlation between digital villages and AEE. However, it wanes in an “inverted U” pattern beyond a digital development index of 0.8. Furthermore, rural bureaucrats and self-governing entities independently advance AEE, while market forces and social organizations require enhancement. These findings contribute to the field of digital village construction and inform sustainable agricultural strategies in developing nations.

Suggested Citation

  • Jin Ren & Xinrui Chen & Lefeng Shi & Ping Liu & Zhixiong Tan, 2024. "Digital Village Construction: A Multi-Level Governance Approach to Enhance Agroecological Efficiency," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:3:p:478-:d:1358049
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    References listed on IDEAS

    as
    1. Hanqing Hu & Xiaofan Yang & Jianling Li & Jianbo Shen & Jianhua Dai & Yuanyuan Jin, 2023. "Can Digital Rural Construction Improve China’s Agricultural Surface Pollution? Autoregressive Modeling Based on Spatial Quartiles," Sustainability, MDPI, vol. 15(17), pages 1-14, August.
    2. Jin Ren & Xinrui Chen & Tingting Gao & Hao Chen & Lefeng Shi & Ming Shi, 2023. "New Digital Infrastructure’s Impact on Agricultural Eco-Efficiency Improvement: Influence Mechanism and Empirical Test—Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    3. Wen Yao & Zhuo Sun, 2023. "The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
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