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数字乡村建设的增收效应——来自国家数字乡村试点的证据

余泽田, 张世博(), 吴俣, 彭华, 董晓霞()   

  1. 中国农业科学院农业信息研究所,北京 100081,中国
  • 收稿日期:2026-02-03 出版日期:2026-04-22
  • 基金项目:
    国家重点研发计划(2024YFD1700505); 农业农村部政府购买服务项目(08250132)
  • 作者简介:

    余泽田,博士研究生,研究方向为农业经济。E-mail:

    张世博,硕士研究生,研究方向为农业经济。E-mail:

    余泽田和张世博同为第一作者

  • 通信作者:
    董晓霞,博士,研究员,研究方向为农业经济。E-mail:

Income-Enhancing Effect of Digital Rural Construction: Evidence from the National Digital Rural Pilot Program

YU Zetian, ZHANG Shibo(), WU Yu, PENG Hua, DONG Xiaoxia()   

  1. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2026-02-03 Online:2026-04-22
  • Foundation items:National Key Research and Development Program of China(2024YFD1700505); Government Procurement Service Project of the Ministry of Agriculture and Rural Affairs(08250132)
  • About author:

    YU Zetian, E-mail:

    ZHANG Shibo, E-mail:

  • Corresponding author:
    DONG Xiaoxia, E-mail:

摘要:

【目的/意义】 为识别数字乡村建设是否能够促进农村居民增收,并厘清其作用机制,以国家数字乡村试点政策为准自然实验,系统考察数字乡村建设对农村居民收入增长的影响。研究有助于为科学评估数字乡村政策成效、优化农民增收路径提供经验证据。 【方法】 基于2014—2023年全国727个县域面板数据,将2020年国家数字乡村试点政策视为准自然实验,构建双重差分模型识别数字乡村建设对农村居民收入增长的影响,并通过平行趋势检验、安慰剂检验、PSM-DID等方法进行稳健性检验,进一步结合机制检验和调节效应模型分析其作用路径。 【结果和讨论】 国家数字乡村试点政策显著促进了农村居民收入增长,但未对城乡收入差距产生显著影响。机制分析表明,政策主要通过促进劳动力配置调整和提高创业活跃度推动农村居民增收,且经济基础、数字金融普惠水平和工业化程度会正向调节增收效应。 【结论】 数字乡村建设是提升农村居民收入的有效路径,后续应持续推进,并围绕优化劳动力配置、提升创业活跃度增强政策传导能力,统筹配套条件,强化数字红利普惠共享。

关键词: 数字乡村, 农村居民增收, 城乡包容性增长, 双重差分模型

Abstract:

[Objective] Digital rural construction has become an important strategy for promoting rural revitalization and breaking the long-standing urban-rural dual structure in China. Under the goals of common prosperity and agricultural modernization, sustained income growth for rural residents is a key policy concern. Existing studies have explored the economic effects of digital rural development, but several gaps remain. Most researches focus on a single outcome rather than jointly considering income growth and broader inclusive development. Many researches also rely on composite indices that may be endogenous to local conditions. In addition, the channels through which digital rural policies affect rural income have not been fully clarified. To address these issues, the National Digital Rural Pilot Policy was used as a quasi-natural experiment to examine whether digital rural construction raises rural residents' income, the transmission mechanisms of this effect and its effect on the urban–rural income gap. [Methods] Using the county-level panel data for 727 counties in China from 2014 to 2023, the 2020 launch of the National Digital Rural Pilot Program was treated as a quasi-natural experiment, and a difference-in-differences model was applied to identify the policy's effect on rural residents' per capita disposable income.The analysis controled for economic foundation, fiscal expenditure, financial development, population density, savings level, industrialization, service-sector development, and education. To test robustness, parallel trend tests, placebo tests, the exclusion of special samples, controls for other concurrent policies, and propensity score matching combined with DID estimation were conducted. Mechanism tests were used to examine whether the policy works through labor allocation optimization and enhanced entrepreneurial activity, while moderating effect models assessed whether county economic foundation, digital financial inclusion, and industrialization strengthen the income-enhancing effect. [Results and Discussions] The results showed that the National Digital Rural Pilot Policy significantly increased rural residents' income. After county and year fixed effects as well as other relevant factors were controlled for, the policy led to a significant increase in rural per capita disposable income, and this finding remained robust across a series of tests. Dynamic analysis showed no significant difference in pre-policy trends between pilot and non-pilot counties, while the positive effect emerged after policy implementation and strengthened over time, indicating a sustained and cumulative policy impact. Mechanism analysis identified two main channels through which the policy promoted income growth. First, digital rural construction improved labor allocation by fostering new forms of rural economic activity, such as digital agriculture and rural e-commerce, reducing labor market frictions, and improving the matching efficiency between labor and employment opportunities. Second, it enhanced entrepreneurial activity by lowering market entry and operating costs, increasing the vitality of agriculture-related business entities, and creating more opportunities for local business development and income generation. The income-enhancing effect was more pronounced in counties with a stronger economic foundation, higher levels of digital financial inclusion, and greater industrialization. However, although the policy significantly increased rural residents' income, it did not significantly reduce the urban-rural income gap, suggesting that absolute income growth did not necessarily lead to relative distributional convergence. [Conclusions] Digital rural construction is an effective pathway for increasing rural residents' income in China. By exploiting the National Digital Rural Pilot Policy as a quasi-natural experiment, this study provides more credible evidence on the income effects of digital rural development and clarifies its main transmission mechanisms. Future policy efforts should continue to advance digital rural construction while focusing on improving labor allocation, enhancing entrepreneurial activity, and strengthening county-level supporting conditions. Greater attention should also be paid to digitally disadvantaged areas and vulnerable rural groups in order to promote the inclusive sharing of digital dividends and foster more balanced urban–rural development.

Key words: digital rural construction, rural residents' income growth, urban-rural inclusive growth, difference-in-differences model

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