Journal of Guizhou University of Finance and Economics ›› 2026 ›› Issue (03): 76-86.

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Can the construction of digital countryside enhance the economic resilience of counties?-Another discussion of the impact of the digital divide

CHEN Yu1, CAO Menglu1, XIAO Yanqiu1   

  1. 1. School of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou, Henan 450000, China;
    2. Henan Province Discipline Construction Research Center, Zhengzhou University of Light Industry, Zhengzhou, Henan 450000, China
  • Received:2025-10-20 Published:2026-05-22

Abstract: Against the backdrop of a complex and volatile global economy and ongoing regional conflicts, enhancing the resilience of county-level economies is essential for promoting high-quality economic development and achieving comprehensive rural revitalization. Existing research has primarily focused on macro-level analysis based on provincial and municipal data, with limited studies on county-level indicator measurement and the impact of digital divides across different administrative tiers. This study employs a dual machine learning model to examine the impact and mechanisms of digital rural development on county-level economic resilience using panel data from 2014 to 2022. It further investigates the heterogeneous effects generated by digital divides across different administrative tiers. Findings reveal: First, digital rural development significantly enhances county-level economic resilience, with results remaining robust after stability tests. Second, centered on technology, digital rural development enhances county-level economic resilience by dismantling market barriers, optimizing industrial structures, and boosting non-agricultural entrepreneurial vitality. Third, the promotional effect of digital rural development on county-level economic resilience is constrained by the three-tier digital divide, resulting in an inhibitory effect in regions with low levels of digital development.

Key words: digital rural construction, county-level economic resilience, machine learning, digital divide

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