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干旱区地理 ›› 2026, Vol. 49 ›› Issue (10): 1993-2005.doi: 10.12118/j.issn.1000-6060.2025.474 cstr: 32274.14.ALG2025474

• 数字赋能乡村发展 • 上一篇    下一篇

中国数字乡村建设水平的时空差异及驱动因素异质性

雷霆1(), 张丽娜1(), 逯浩1,2   

  1. 1 新疆大学政治与公共管理学院， 新疆 乌鲁木齐 830046
    2 新疆大学乡村振兴研究院， 新疆 乌鲁木齐 830046
  • 收稿日期:2025-08-06 修回日期:2025-09-12 出版日期:2026-10-25 发布日期:2026-10-26
  • 通讯作者: 张丽娜（2000-），女，硕士研究生，主要从事公共治理与民生保障等方面研究. E-mail: 107552300173@stu.xju.edu.cn
  • 作者简介:雷霆（1975-），女，博士，教授，主要从事公共治理与民生保障、国家安全与应急管理等方面研究. E-mail: ltvzbj@126.com
    作者贡献

    论文构思：雷霆、张丽娜；数据管理：张丽娜；规范分析：张丽娜；获取资助：雷霆、逯浩；调查研究：张丽娜；方法设计：雷霆、张丽娜；项目管理：雷霆；提供资源：雷霆、逯浩；软件编程：张丽娜；监督指导：雷霆、逯浩；验证复核：雷霆、张丽娜；可视化：张丽娜；初稿撰写：张丽娜；修订编辑：雷霆、张丽娜、逯浩。

  • 基金资助:
    国家社会科学基金重点项目(21AZD125);国家社会科学基金项目(23BMZ053);新疆维吾尔自治区研究生创新项目(XJ2025G056)

Spatiotemporal variations in the level of digital village construction in China and heterogeneity of its driving factors

LEI Ting1(), ZHANG Lina1(), LU Hao1,2   

  1. 1 School of Politics and Public Administration, Xinjiang University, Urumqi 830046, Xinjiang, China
    2 Institute of Rural Revitalization, Xinjiang University, Urumqi 830046, Xinjiang, China
  • Received:2025-08-06 Revised:2025-09-12 Published:2026-10-25 Online:2026-10-26

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摘要：

数字乡村建设是实现乡村振兴与数字中国战略深度融合的关键举措，也是新质生产力在农业农村领域的技术应用与范式革新。“十五五”期间，推动数字乡村建设必须贯彻落实“因地制宜发展新质生产力”的价值导向和政策要求。基于2015—2023年中国30个省域的数据，构建综合评价体系，采用CRITIC-熵权法测度建设水平，综合运用多种空间模型实证考察中国省域数字乡村建设的时空格局与驱动机制。结果表明：（1） 建设水平持续增长但增速趋缓，空间上呈“东高西低”的梯度格局。（2） 省域间存在显著的空间集聚性与“俱乐部趋同”效应，区域绝对差异扩大，且西部内部极化风险凸显。（3） 乡村数字基础设施建设、地方财政科技投入与数字交易水平具有稳定的正向驱动作用，同时揭示了邻近地区间存在空间溢出与竞争效应。（4） 时空地理加权回归模型进一步揭示，上述影响因素的作用强度与方向具有显著的时空异质性，刻画了不同区域主导驱动机制的差异化格局。研究结果可为实现数字乡村建设的分类施策和资源精准投放提供参考依据。

关键词: 新质生产力, 空间格局, 驱动因素, 因地制宜, 异质性分析

Abstract:

The development of digital villages is a key initiative for achieving the deep integration of rural revitalization and the Digital China strategy, as well as the technological application and paradigm innovation of new productive forces in the agricultural and rural sectors. During the 15th Five-Year Plan period, advancing digital village construction must fully implement the value orientation and policy requirements of “developing new productive forces based on local conditions”. Based on data from 30 provincial-level regions in China spanning 2015—2023, this study constructs a comprehensive evaluation system. It employs the CRITIC-entropy weighting method to measure development levels and utilizes multiple spatial models to empirically examine the spatiotemporal patterns and driving mechanisms of digital village construction across China’s provincial-level regions. The findings are as follows: (1) The development levels indicate sustained growth but decelerating rates, exhibiting an east-high, west-low spatial gradient pattern. (2) Significant spatial agglomeration and “club convergence” effects exist among provincial-level regions, with widening absolute regional disparities and emerging polarization risks within the western regions. (3) Rural digital infrastructure construction, local fiscal investment in science and technology, and digital transaction levels exert stable positive driving effects, while having spatial spillover and competitive effects among neighboring regions. (4) Spatiotemporal geographically weighted regression models further reveal significant spatiotemporal heterogeneity in the intensity and direction of these factors, depicting differentiated patterns of dominant driving mechanisms across regions. These findings provide a reference for implementing tailored strategies and precise resource allocation in digital village construction.

Key words: new quality productivity, spatial pattern, driving factors, adaptation to local conditions, heterogeneity analysis