贵州财经大学学报

贵州财经大学学报 ›› 2026 ›› Issue (03): 76-86.

• 数字经济 • 上一篇    

数字乡村建设能否提升县域经济韧性——兼论数字鸿沟的影响

陈昱1, 曹梦璐1, 肖艳秋1   

  1. 1. 郑州轻工业大学 经济与管理学院, 河南 郑州 450000;
    2. 郑州轻工业大学 河南省学科建设研究中心, 河南 郑州 450000
  • 收稿日期:2025-10-20 发布日期:2026-05-22
  • 作者简介:陈昱(1983—),男,河南南阳人,郑州轻工业大学经济与管理学院教授,研究方向为城镇化、乡村振兴等;曹梦璐(2001—),女,江苏常州人,郑州轻工业大学经济与管理学院硕士研究生,研究方向为区域经济;肖艳秋(1980—),男,河南郑州人,郑州轻工业大学河南省学科建设研究中心教授,研究方向为数字经济、人工智能。
  • 基金资助:
    国家社会科学基金重大资助项目"城市群协同创新带动大中小城市协调发展研究"(23&ZD068);河南省高等学校哲学社会科学创新团队支持计划"后疫情时代我国制造业产业链重构研究"(2021-CXTD-12),"沿黄城市制造业碳达峰的制约因素与动力机制研究"(2022-CXTD-05);河南省哲学社会科学规划项目"数字经济赋能城乡多维融合的理论逻辑、作用机制及实现路径研究"(2024BJJ038);河南省高等教育教学改革研究与实践项目(研究生教育类)"信息赋能有组织学科建设驱动地方高校学科高质量发展研究"(2023SJGLX004Y)。

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

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摘要： 在全球经济复杂多变,地域冲突不断的背景下,提升县域经济韧性,是推动经济高质量发展,实现乡村全面振兴的必要途径。现有研究多聚焦以省市数据为基础的宏观分析,关于县域层面指标测度以及不同层级数字鸿沟影响的研究相对匮乏。文章基于2014—2022年县级面板数据,采用双重机器学习模型探究数字乡村建设对县域经济韧性的影响效应及作用机制,并进一步考察不同层级数字鸿沟产生的异质性影响。研究表明:第一,数字乡村建设显著提升县域经济韧性,经稳健性检验后结果依然成立;第二,数字乡村建设以技术为核心,通过破除市场壁垒、优化产业结构,提升非农创业活力,提升县域经济韧性;第三,数字乡村建设对县域经济韧性的促进作用受到三级数字鸿沟制约,导致其在数字发展低水平地区产生抑制效应。

关键词: 数字乡村建设, 县域经济韧性, 机器学习, 数字鸿沟

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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