[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-338":3,"related-338":65},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":27,"primary_topic":33,"secondary_topics":39,"classification":40,"search_phrases":59,"slug":62,"view_count":63,"doi":8,"paper":8,"created_at":64},338,"数字乡村建设对农村居民收入增长的影响——来自国家数字乡村试点的证据","https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147","余泽田、张世博、吴俣、彭华、董晓霞在《智慧农业(中英文)》2026年第8卷第3期发表文章,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。研究发现:国家数字乡村试点政策显著促进农村居民收入增长,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。后续应继续推进数字乡村建设,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。DOI: 10.12133\u002Fj.smartag.SA202602009。",null,"欢迎您访问《智慧农业（中英文）》官方网站！[English](https:\u002F\u002Fwww.smartag.net.cn\u002FEN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 1](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 2](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner_mobile.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 3](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fyyzkj.png)](https:\u002F\u002Fpano.bookan.com.cn\u002F?id=60704&cid=352)\n\nToggle navigation[智慧农业](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n*   [网站首页](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n*   [期刊介绍](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn133.shtml)\n*   [编委会](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn153.shtml)\n*   [投稿指南](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn135.shtml)\n*   [期刊服务](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn124.shtml)\n*   [下载中心](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn126.shtml)\n*   [联系我们](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn127.shtml)\n\n[Smart Agriculture](https:\u002F\u002Fwww.smartag.net.cn\u002F) ›› [2026](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026), [Vol. 8](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026) ›› [Issue (3)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fvolumn\u002Fvolumn_841.shtml): 147-158.doi: [10.12133\u002Fj.smartag.SA202602009](https:\u002F\u002Fdoi.org\u002F10.12133\u002Fj.smartag.SA202602009)\n\n• 专刊--数字技术赋能与农业经济范式转型 •[上一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22762.shtml)[下一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22736.shtml)\n\n### 数字乡村建设对农村居民收入增长的影响——来自国家数字乡村试点的证据\n\n余泽田, 张世博, 吴俣, 彭华, 董晓霞([![Image 4](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:dongxiaoxia@caas.cn))\n\n1.   中国农业科学院农业信息研究所，北京 100081，中国\n\n*   `收稿日期:`2026-02-03 `出版日期:`2026-05-30 \n*   `基金项目:`国家重点研发计划项目(2024YFD1700505); 农业农村部政府购买服务项目(08250132) \n*   `作者简介:`. 余泽田，博士研究生，研究方向为农业经济。E-mail：[yu_zetian2024@163.com](mailto:yu_zetian2024@163.com)； 张世博，硕士研究生，研究方向为农业经济。E-mail：[15524007001@163.com](mailto:15524007001@163.com) 余泽田、张世博为并列第一作者 \n*   `通信作者:`董晓霞，博士，研究员，研究方向为农业经济。E-mail：[dongxiaoxia@caas.cn](mailto:dongxiaoxia@caas.cn) \n\n### The Impact of Digital Rural Development on Rural Residents' Income Growth: Evidence from the National Digital Rural Pilot Program\n\nYU Zetian, ZHANG Shibo, WU Yu, PENG Hua, DONG Xiaoxia([![Image 5](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:dongxiaoxia@caas.cn))\n\n1.   Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China\n\n*   `Received:`2026-02-03 `Online:`2026-05-30 \n*   `Foundation items:`National Key Research and Development Program of China(2024YFD1700505); Government Procurement Service Project of the Ministry of Agriculture and Rural Affairs(08250132) \n*   `About author:`YU Zetian, E-mail: [yu_zetian2024@163.com](mailto:yu_zetian2024@163.com); ZHANG Shibo, E-mail:[15524007001@163.com](mailto:15524007001@163.com) \n*   `Corresponding author:`DONG Xiaoxia, E-mail: [dongxiaoxia@caas.cn](mailto:dongxiaoxia@caas.cn) \n\n## [在线阅读 4](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n## [知网下载](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n## [本地下载 24](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#1)\n\n[_![Image 6](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002Fimages\u002Fknowledge\\_map1.png)_ ## 可视化 0](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002Flexeme\u002FshowArticleByLexeme.do?articleID=22765)\n\n#### [摘要\u002FAbstract](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n**摘要：**\n\n**【目的\u002F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。\n\n**关键词:**[数字乡村,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[农村居民增收,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[城乡包容性增长,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[双重差分模型,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[调节效应模型,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[数字技术](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n**Abstract:**\n\n**[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 research focuses on a single outcome rather than jointly considering income growth and broader inclusive development. Many studies 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 in this research 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 Policy 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 controlled 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.\n\n**Key words:**[digital rural construction,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[rural residents' income growth,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[urban-rural inclusive growth,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[difference-in-differences model,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[moderating?effect model,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[digital technology](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n**中图分类号:**\n\n*   [F320.3](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n#### 引用本文\n\n余泽田, 张世博, 吴俣, 彭华, 董晓霞. 数字乡村建设对农村居民收入增长的影响——来自国家数字乡村试点的证据[J]. 智慧农业(中英文), 2026, 8(3): 147-158.\n\nYU Zetian, ZHANG Shibo, WU Yu, PENG Hua, DONG Xiaoxia. The Impact of Digital Rural Development on Rural Residents' Income Growth: Evidence from the National Digital Rural Pilot Program[J]. Smart Agriculture, 2026, 8(3): 147-158.\n\n#### 使用本文\n\n**[[收藏文章](javascript:;)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#) \u002F[推荐](javascript:void(null))**\n**导出引用管理器**[EndNote](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=EndNote&id=22765)|[Ris](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=Ris&id=22765)|[BibTeX](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=BibTeX&id=22765)\n\n**链接本文:**[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602009](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602009)\n\n[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n#### [图\u002F表 12](javascript:;)\n\n[![Image 7](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14977)\n\n**表1**\n\n数字乡村增收效应研究主要变量的描述性统计结果\n\n| 变量 | 说明 | 样本量 | 均值 | 标准差 | 最小值 | 最大值 |\n| :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n| 农村居民收入 | 农村居民人均可支配收入\u002F万元 | 7 270 | 1.288 | 0.515 | 0.510 | 3.562 |\n| 数字乡村试点政策 | 见2.2节 | 7 270 | 0.018 | 0.134 | 0.000 | 1.000 |\n| 经济基础 | 县区人均GDP\u002F万元 | 7 270 | 3.497 | 2.336 | 0.802 | 17.218 |\n| 财政水平 | 人均地方财政一般预算支出\u002F万元 | 7 270 | 0.206 | 0.192 | 0.031 | 1.746 |\n| 金融水平 | 人均年末金融机构各项贷款余额\u002F万元 | 7 270 | 2.546 | 1.985 | 0.352 | 21.043 |\n| 人口规模 | 年末总人口\u002F行政区域总面积\u002F（万人\u002Fkm 2） | 7 270 | 0.031 | 0.033 | 0.000 | 0.425 |\n| 储蓄水平 | 人均城乡居民储蓄存款余额\u002F万元 | 7 270 | 2.655 | 1.297 | 0.340 | 11.250 |\n| 工业化程度 | 第二产业增加值\u002FGDP | 7 270 | 0.387 | 0.153 | 0.058 | 0.772 |\n| 服务化程度 | 第三产业增加值\u002FGDP | 7 270 | 0.430 | 0.108 | 0.164 | 0.838 |\n| 教育水平 | 普通中学在校学生数\u002F年末总人口 | 7 270 | 0.058 | 0.017 | 0.011 | 0.104 |\n\n 表1 \n\n[![Image 8](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14978)\n\n**表2**\n\n数字乡村试点对农村居民收入影响的基准回归结果\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| （1） | （2） | （3） |\n| 数字乡村试点 | 0.477*** | （0.022） | 0.052*** | （0.019） | 0.049*** | （0.019） |\n| 经济基础 |  |  |  |  | -0.059*** | （0.017） |\n| 财政水平 |  |  |  |  | -0.143*** | （0.039） |\n| 金融水平 |  |  |  |  | 0.091*** | （0.020） |\n| 人口规模 |  |  |  |  | 1.136 | （0.710） |\n| 储蓄水平 |  |  |  |  | -0.144*** | （0.030） |\n| 工业化程度 |  |  |  |  | 0.090 | （0.074） |\n| 服务化程度 |  |  |  |  | 0.185** | （0.086） |\n| 教育水平 |  |  |  |  | 0.412* | （0.224） |\n| 年份固定效应 |  |  | 已控制 |  | 已控制 |  |\n| 县区固定效应 |  |  | 已控制 |  | 已控制 |  |\n| 常数项 | 1.279*** | （0.016） | 0.918*** | （0.004） | 0.930*** | （0.072） |\n| 样本量 | 7 270 |  | 7 270 |  | 7 270 |  |\n| _R_ 2 | 0.037 |  | 0.915 |  | 0.921 |  |\n\n 表2 \n\n[![Image 9](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002Fthumbnail\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F001.jpg)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#figureClass14979)\n\n**图1**\n\n农民收入平行趋势检验结果 注：以2019年为基准期，在95%的置信区间下绘制。\n\n![Image 10](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F001.jpg)\n\n 图1 \n\n[![Image 11](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002Fthumbnail\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F002.jpg)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#figureClass14980)\n\n**图2**\n\n效应基准回归的伪政策年份安慰剂检验结果\n\n![Image 12](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F002.jpg)\n\n 图2 \n\n[![Image 13](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002Fthumbnail\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F003.jpg)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#figureClass14981)\n\n**图3**\n\n基准回归的随机置换安慰剂检验结果\n\n![Image 14](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F003.jpg)\n\n 图3 \n\n[![Image 15](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14982)\n\n**表3**\n\n基准回归的稳健性检验：剔除特殊样本\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| 数字乡村试点 | 0.471*** | 0.052** | 0.053** |\n|  | （0.026） | （0.023） | （0.022） |\n| 控制变量 |  |  | 已控制 |\n| 时间固定效应 |  | 已控制 | 已控制 |\n| 县区固定效应 |  | 已控制 | 已控制 |\n| 样本量 | 6 640 | 6 640 | 6 640 |\n| _R_ 2 | 0.034 | 0.913 | 0.920 |\n\n 表3 \n\n[![Image 16](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14983)\n\n**表4**\n\n基准回归的稳健性检验：排除其他政策干扰\n\n| 变量 | 是否是信息进村入户工程试点 | 是否是革命老区县 | 是否为少数民族自治县 |\n| :---: | :---: | :---: | :---: |\n| 数字乡村试点 | 0.048*** | 0.049*** | 0.049*** |\n|  | （0.019） | （0.019） | （0.019） |\n| 控制变量 | 已控制 | 已控制 | 已控制 |\n| 时间固定效应 | 已控制 | 已控制 | 已控制 |\n| 县区固定效应 | 已控制 | 已控制 | 已控制 |\n| 样本量 | 7 270 | 7 270 | 7 270 |\n| _R_ 2 | 0.921 | 0.921 | 0.921 |\n\n 表4 \n\n[![Image 17](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14984)\n\n**表5**\n\n基准回归的稳健性检验：更换回归模型\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| 数字乡村试点 | 0.049*** |\n|  | （0.019） |\n| 控制变量 | 已控制 |\n| 时间固定效应 | 已控制 |\n| 县区固定效应 | 已控制 |\n\n 表5 \n\n[![Image 18](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14985)\n\n**表6**\n\n数字乡村试点对农村居民收入影响的异质性检验结果\n\n| 变量 | 数字基础 | 经济基础 | 地理区域 | 地形起伏度 |\n| :---: | :---: | :---: | :---: | :---: |\n| 数字乡村试点 | 0.002 | -0.030* | 0.095*** | 0.078** |\n|  | （0.023） | （0.018） | （0.031） | （0.034） |\n| 数字乡村试点*数字基础 | 0.077** |  |  |  |\n|  | （0.032） |  |  |  |\n| 数字乡村试点*经济基础 |  | 0.096*** |  |  |\n|  |  | （0.026） |  |  |\n| 数字乡村试点*地理区域（以东部为基准） |  |  |  |  |\n| 中部 |  |  | -0.073 |  |\n|  |  |  | （0.047） |  |\n| 西部 |  |  | -0.049 |  |\n|  |  |  | （0.038） |  |\n| 数字乡村试点*地形起伏度 |  |  |  | -0.048 |\n|  |  |  |  | （0.039） |\n| 控制变量 | 已控制 | 已控制 | 已控制 | 已控制 |\n| 时间固定效应 | 已控制 | 已控制 | 已控制 | 已控制 |\n| 县区固定效应 | 已控制 | 已控制 | 已控制 | 已控制 |\n| 样本量 | 7 270 | 7 270 | 7 270 | 7 270 |\n| _R_ 2 | 0.921 | 0.921 | 0.921 | 0.921 |\n\n 表6 \n\n[![Image 19](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14986)\n\n**表7**\n\n数字乡村试点影响农村居民收入的中介机制检验结果\n\n| 变量 | 劳动力配置 | 创业活跃度 |\n| :---: | :---: | :---: |\n| 数字试点政策 | 0.033** | 7.848* |\n|  | （0.014） | （4.664） |\n| 控制变量 | 已控制 | 已控制 |\n| 时间固定效应 | 已控制 | 已控制 |\n| 县区固定效应 | 已控制 | 已控制 |\n| 样本量 | 2 420 | 6 910 |\n| _R_ 2 | 0.220 | 0.216 |\n\n 表7 \n\n[![Image 20](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14987)\n\n**表8**\n\n数字乡村试点影响农村居民收入的调节效应检验结果\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| 数字乡村试点政策 | -0.275*** | （0.042） | -1.088*** | （0.225） | -0.062** | （0.026） |\n| GDP | -0.062*** | （0.017） |  |  |  |  |\n| 数字乡村试点政策*GDP | 0.193*** | （0.027） |  |  |  |  |\n| 北大数字金融普惠指数 |  |  | -0.004*** | （0.000） |  |  |\n| 数字乡村试点政策*北大数字金融普惠指数 |  |  | 0.010*** | （0.002） |  |  |\n| 工业化水平 |  |  |  |  | 0.075 | （0.074） |\n| 数字乡村试点政策*工业化水平 |  |  |  |  | 0.280*** | （0.069） |\n| 控制变量 | 已控制 |  | 已控制 |  | 已控制 |  |\n| 时间固定效应 | 已控制 |  | 已控制 |  | 已控制 |  |\n| 县区固定效应 | 已控制 |  | 已控制 |  | 已控制 |  |\n| 样本量 | 7 270 |  | 6 967 |  | 7 270 |  |\n| _R_ 2 | 0.922 |  | 0.927 |  | 0.921 |  |\n\n 表8 \n\n[![Image 21](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14988)\n\n**表9**\n\n进一步分析：对城乡包容性增长的影响\n\n| 变量 | 城乡收入差距 |\n| :---: | :---: |\n| 数字试点政策 | 0.041 |\n|  | （0.033） |\n| 控制变量 | 已控制 |\n| 时间固定效应 | 已控制 |\n| 县区固定效应 | 已控制 |\n| 样本量 | 7 270 |\n| _R_ 2 | 0.417 |\n\n 表9 \n\n[](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n#### [参考文献 31](javascript:;)\n\n[1]穆克瑞. 新发展阶段城乡融合发展的主要障碍及突破方向[J]. 行政管理改革, 2021(1): 79-85.\nMU K R. 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Journal of Business Venturing Insights, ","智慧农业(中英文) 2026, 8(3): 147-158","论文",25,false,81,{"impact":12,"substance":16,"depth":17,"authority":18,"freshness":19,"relevant":20,"comment":21},22,18,14,2,1,"基于国家试点政策与县域面板数据的实证研究，结论可靠，对数字乡村政策评估有重要参考价值，但发表时间较早，时效性不足。",[23,24],{"name":10,"url":6},{"name":25,"url":26},"智慧农业(中英文) 2026年第3期 147-158","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7676495154286576128\u002F",[28,29,30,31,32],"数字乡村","双重差分","农村居民收入","国家数字乡村试点","智慧农业8",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":41,"locked":13,"version":42,"method":43,"evidence":44},"classified","2026-10-22.2","rules",{"candidates":45,"agricultural_evidence":48},[46,52],{"code":34,"score":47,"supported":48,"title":49,"abstract":50,"tags":51},12,true,[28],[28],[28],{"code":53,"score":54,"supported":48,"title":55,"abstract":56,"tags":58},"I1",3,[],[57],"智慧农业",[],[60,61],"国家数字乡村试点 农村居民收入 智慧农业8 双重差分","国家数字乡村试点 农村居民收入","国家数字乡村试点农村居民收入智慧农业8双重差分-338",7,"2026-08-09T23:54:49.546174Z",{"total":66,"page":20,"page_size":66,"items":67},6,[68,128,175,216,272,339],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":8,"content":8,"source_name":73,"source_url":8,"published_at":74,"category":11,"cover_url":8,"hotness":75,"is_selected":13,"score":76,"score_detail":77,"sources":79,"tags":81,"primary_topic":85,"secondary_topics":86,"classification":87,"search_phrases":111,"slug":114,"view_count":115,"doi":116,"paper":117,"created_at":127},4198,"促进农业技术创新的数字力量——基于数字乡村建设视角","https:\u002F\u002Fnyxdhyj.isa.ac.cn\u002Farticle\u002Fdoi\u002F10.13872\u002Fj.1000-0275.2025.1035","黄建碧、马春艳、李睿琪、熊航（华中农业大学经济管理学院\u002F数字农业研究院）。发表于《农业现代化研究》2026年第47卷第2期325-338页。从数字乡村建设视角系统分析其对农业技术创新的促进作用，基于数字乡村试点数据构建多维评价指标体系，结合双重差分模型与机制检验考察数字乡村建设对农业技术创新的影响路径与作用机理。研究发现数字乡村建设通过促进农业科技创新要素集聚、提升农业科技创新效率、推动农业科技创新成果转化等机制显著促进农业技术创新。得到国家自然科学基金项目(72173050)、教育部哲学社会科学研究重大专项(2024JZDZ060)资助。","农业现代化研究2026, 47(2)","2026-09-01T00:00:00Z",10,75,{"impact":17,"substance":16,"depth":17,"authority":18,"freshness":54,"relevant":20,"comment":78},"核心期刊论文，方法规范、结论明确，但发表已逾一月，时效性偏弱，适合主题聚合而非每日精选。",[80],{"name":73,"url":71},[28,29,82,83,84],"农业技术创新","华中农业大学","国家自然科学基金",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":13,"version":42,"method":43,"evidence":88},{"candidates":89,"agricultural_evidence":48},[90,94,100,105],{"code":34,"score":47,"supported":48,"title":91,"abstract":92,"tags":93},[28],[28],[28],{"code":95,"score":54,"supported":48,"title":96,"abstract":97,"tags":99},"G1",[],[98],"成果转化",[],{"code":53,"score":54,"supported":48,"title":101,"abstract":102,"tags":104},[],[103],"数字农业",[],{"code":106,"score":54,"supported":48,"title":107,"abstract":108,"tags":110},"J2",[],[109],"农业现代化",[],[112,113],"华中农业大学 数字乡村 农业技术创新","数字乡村试点 双重差分 农业技术创新","华中农业大学数字乡村农业技术创新-4198",4,"10.13872\u002Fj.1000-0275.2025.1035",{"doi":116,"openalex_id":8,"authors":118,"venue":8,"cited_by_count":119,"oa_url":8,"card":120,"direction":124,"ingested_from":126},[],0,{"tldr":121,"method":122,"finding":123,"direction":124,"opportunity":125},"基于数字乡村试点数据，实证检验数字乡村建设对农业技术创新的促进作用及机制。","数字乡村试点数据、多维评价指标体系、双重差分模型与机制检验。","数字乡村建设通过要素集聚、效率提升和成果转化显著促进农业技术创新。","数字乡村与农业信息化","可探究数字乡村建设对不同区域、不同农业技术类型创新影响的异质性及空间溢出效应。","agent","2026-10-05T00:04:56.164123Z",{"id":129,"title":130,"url":131,"summary":132,"summary_zh":8,"content":8,"source_name":133,"source_url":8,"published_at":134,"category":11,"cover_url":8,"hotness":75,"is_selected":13,"score":135,"score_detail":136,"sources":141,"tags":143,"primary_topic":147,"secondary_topics":148,"classification":149,"search_phrases":163,"slug":166,"view_count":66,"doi":8,"paper":167,"created_at":174},3123,"Turning Data into Sustainability: Agricultural Big Data Policy, Capital Composition, and Rural Eco-Environmental Sustainability in China（数据转化为可持续性：中国农业大数据政策、资本构成与农村生态环境可持续性）","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9478","湖南第一师范学院马克思主义学院 Zhumiao Wang 等联合吉林大学、韩国圆光大学在《Sustainability》18(18): 9478 发表论文（2026-09-16 发表）。农村环境退化是分散的、监测薄弱的、难以治理的，是可持续发展目标（SDGs）最持久的障碍之一。以 2010-2024 年中国 271 个城市面板数据为基础，以 2016 年农业农村大数据政策（ABDP）试点为\"准自然实验\"，采用交错双重差分（DID）设计估计政策对农村生态环境可持续性（RES）的效应。结果显示 ABDP 使 RES 提升 0.0015 个指数点（相当于样本均值 2.91%、分布 6.8 个百分位点）；效应规模取决于政策所面临的资本存量：随农业机械化（AM）上升而下降并在高机械化水平下变得不显著，随数字资本（DC）上升而上升；田间\"做什么\"的资本替代信息，向田间\"传递信息\"的资本补充信息。增益集中在生产—环境维度。","MDPI Sustainability","2026-09-16T00:00:00Z",84,{"impact":16,"substance":137,"depth":17,"authority":138,"freshness":139,"relevant":20,"comment":140},23,13,8,"基于271城面板数据的交错DID实证，量化农业大数据政策对农村生态可持续性的效应及资本构成的调节作用，方法规范、结论有政策参考价值。",[142],{"name":133,"url":131},[28,144,145,29,146],"农业大数据","农业政策","农村生态环境",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":13,"version":42,"method":43,"evidence":150},{"candidates":151,"agricultural_evidence":48},[152,156],{"code":34,"score":75,"supported":48,"title":153,"abstract":154,"tags":155},[144],[],[144,28],{"code":157,"score":66,"supported":48,"title":158,"abstract":159,"tags":162},"F5",[],[160,161],"农业机械","机械化",[],[164,165],"农业大数据政策 农村生态环境","Zhumiao Wang 农业大数据","农业大数据政策农村生态环境-3123",{"doi":8,"openalex_id":8,"authors":168,"venue":8,"cited_by_count":119,"oa_url":8,"card":169,"direction":124,"ingested_from":126},[],{"tldr":170,"method":171,"finding":172,"direction":124,"opportunity":173},"以2016年农业大数据政策试点为准自然实验，评估其对中国农村生态环境可持续性的影响。","2010-2024年271个城市面板数据，交错双重差分（DID）设计。","政策使农村生态可持续性提升约2.91%，效应随数字资本上升、随机械化上升而减弱。","可探究数字资本与机械资本的替代\u002F互补机制，及政策效应在非生产维度的异质性。","2026-09-22T00:05:38.376954Z",{"id":176,"title":177,"url":178,"summary":179,"summary_zh":8,"content":180,"source_name":181,"source_url":8,"published_at":182,"category":11,"cover_url":8,"hotness":75,"is_selected":13,"score":183,"score_detail":184,"sources":187,"tags":189,"primary_topic":195,"secondary_topics":196,"classification":197,"search_phrases":209,"slug":212,"view_count":63,"doi":8,"paper":213,"created_at":215},1002,"Digital villages and agricultural green total factor productivity: Evidence from a quasi-natural experiment in China","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37246876","原文标题: Digital villages and agricultural green total factor productivity。作者: Guo Hui、Wang Xinyi、Xia He、Jiang Wenjie。DOI: 10.3389\u002Ffsufs.2026.1831978。本文采用super-efficiency SBM-DDF-GML模型，运用2014—2023年中国县级面板数据测算AGTFP，并以国家数字乡村试点为准自然实验，运用DID方法评估数字乡村发展对AGTFP的影响、机制与空间溢出效应。研究发现：①数字乡村发展显著提升AGTFP，效应主要源于绿色技术进步而非绿色技术效率改善；②机制上通过优化劳动力配置、激发农业创业活力、扩大消费需求；③异质性上，距省会近、地形起伏度高、路网密度低的地区政策效应更显著；④空间效应以虹吸为主，但绿色技术进步随时间推移呈现溢出迹象。","## Digital villages and agricultural green total factor productivity\n\n## Guo, HuiWang, Xinyi; Xia, He; Jiang, Wenjie\n\nAngol nyelvű Szakcikk (Folyóiratcikk) Tudományos\n\n*   SJR Scopus - Horticulture: D1\n\nEnhancing agricultural green total factor productivity (AGTFP) is essential for advancing high-quality agricultural development. This study employs a super-efficiency SBM-DDF-GML model to calculate AGTFP using county-level panel data from China (2014-2023). Leveraging national digital village pilot (NDVP) programs as a quasi-natural experiment, it further applies a Difference-in-Differences (DID) approach to evaluate the impact, underlying mechanisms, and spatial spillover effects of digital village development on AGTFP. Results indicate that digital village initiatives significantly boost AGTFP. The results remain robust across multiple robustness checks and endogeneity tests, with effects primarily driven by green technological progress rather than green technological efficiency improvements. Mechanism analysis indicates that digital village development enhances AGTFP by promoting optimal labor allocation, stimulating agribusiness entrepreneurship, and expanding consumption. Heterogeneity analysis reveals that the policy effect is more pronounced in areas near provincial capitals, with high terrain undulation, and low road network density. The spatial effect during the sample period is dominated by siphoning, with only green technological progress exhibiting signs of spillover over time. This study provides new empirical evidence on how digital village development drives agricultural green transformation and offers policy implications for optimizing policy design and promoting coordinated regional development.","Frontiers in Sustainable Food Systems 2026, 10, 1831978 · 2026-08-26","2026-08-26T00:00:00Z",80,{"impact":16,"substance":16,"depth":185,"authority":47,"freshness":115,"relevant":20,"comment":186},20,"基于全国县级面板数据与准自然实验，实证数字乡村对农业绿色全要素生产率的影响，方法严谨，结论具有政策参考价值。",[188],{"name":181,"url":178},[28,190,29,191,192,193,194],"AGTFP","县级面板","绿色全要素生产率","DID","Front Sustain Food Syst",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":13,"version":42,"method":43,"evidence":198},{"candidates":199,"agricultural_evidence":48},[200,204],{"code":34,"score":115,"supported":48,"title":201,"abstract":202,"tags":203},[],[28],[28],{"code":205,"score":20,"supported":13,"title":206,"abstract":207,"tags":208},"H4",[],[],[192],[210,211],"绿色全要素生产率 县级面板 双重差分 数字乡村","绿色全要素生产率 县级面板","绿色全要素生产率县级面板双重差分数字乡村-1002",{"doi":8,"openalex_id":8,"authors":214,"venue":8,"cited_by_count":119,"oa_url":8,"card":8,"direction":8,"ingested_from":126},[],"2026-08-27T00:05:20.326038Z",{"id":217,"title":218,"url":219,"summary":220,"summary_zh":8,"content":221,"source_name":222,"source_url":8,"published_at":223,"category":11,"cover_url":8,"hotness":75,"is_selected":13,"score":119,"score_detail":224,"sources":226,"tags":228,"primary_topic":233,"secondary_topics":234,"classification":235,"search_phrases":267,"slug":270,"view_count":63,"doi":8,"paper":8,"created_at":271},247,"Driving digital village development for rural modernization: The evidence of China","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0743016726002428","2026年8月《Journal of Rural Studies》上线的研究基于中国数字乡村发展实践,实证检验数字乡村建设对乡村现代化的驱动效应。研究运用2015-2023年省级面板数据,采用双重差分模型、空间计量模型与中介效应模型考察数字乡村建设对农业生产率、农民收入、乡村治理、城乡融合等多维目标的影响。研究发现,数字乡村建设显著提升农业生产率与农民收入水平,通过促进农村电商发展、推动数字普惠金融与完善乡村治理体系三个机制实现乡村现代化;东部地区效应大于中西部,粮食主产区效应显著;数字乡村建设具有显著空间溢出效应,周边地区发展滞后将削弱本地红利释放。文章为发展中国家通过数字乡村建设推动乡村现代化提供了中国经验与政策启示。","[![Image 1: Elsevier logo](blob:http:\u002F\u002Flocalhost\u002F84fae110a9934890163c7653d951a57a)](https:\u002F\u002Fwww.sciencedirect.com\u002F)\n\n*   Help   \n\n# Are you a robot?\n\nPlease confirm you are a human by completing the captcha challenge below.\n\nVerification successful. 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Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",{"impact":17,"substance":16,"depth":17,"authority":138,"freshness":281,"relevant":20,"comment":282},9,"基于CFPS三期面板数据的微观实证，方法规范、结论有新意，对数字乡村与共同富裕政策有参考价值，值得进入每日精选。",[284],{"name":278,"url":275},[28,286,287,288,289],"数字素养","共同富裕","农民收入","收入不平等",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":13,"version":42,"method":43,"evidence":293},{"candidates":294,"agricultural_evidence":48},[295,299,305,311],{"code":34,"score":139,"supported":48,"title":296,"abstract":297,"tags":298},[],[28,240],[28,286],{"code":262,"score":66,"supported":48,"title":300,"abstract":301,"tags":304},[],[302,303],"农户收入","rural income",[],{"code":306,"score":54,"supported":48,"title":307,"abstract":308,"tags":310},"G",[],[309],"rural development",[],{"code":312,"score":20,"supported":13,"title":313,"abstract":314,"tags":315},"G4",[],[],[287],[317,318],"CFPS 数字素养 农户收入","数字素养 农村收入差距","CFPS数字素养农户收入-5581","10.3390\u002Fsu182010689",{"doi":320,"openalex_id":322,"authors":323,"venue":278,"cited_by_count":119,"oa_url":275,"card":332,"direction":124,"ingested_from":337},"W7223105459",[324,327,330],{"name":325,"orcid":326},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":328,"orcid":329},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":331,"orcid":8},"Fangping Cao",{"tldr":333,"method":334,"finding":335,"direction":124,"opportunity":336},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","openalex","2026-10-22T11:20:47.675827Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":8,"content":344,"source_name":345,"source_url":8,"published_at":346,"category":347,"cover_url":8,"hotness":75,"is_selected":13,"score":348,"score_detail":349,"sources":352,"tags":354,"primary_topic":358,"secondary_topics":359,"classification":360,"search_phrases":376,"slug":379,"view_count":119,"doi":8,"paper":8,"created_at":380},5505,"广西以赛聚智赋能「AI+农业」 桂字号品牌与东盟水果IP赛道决出","https:\u002F\u002Fwww.agri.cn\u002Fzt\u002Fzhzz\u002Ftp\u002F202610\u002Ft20261019_8877223.htm","10月16日2026年广西智慧农业（数字乡村）创新大赛「桂字号」农业品牌推广赛道、中国（广西）—东盟水果贸易第一IP打造赛道决赛举行，55个项目同台竞技。自治区农业农村厅提出广西正按「北上广研发+广西集成+东盟应用」路径打造中国（广西）—东盟智慧农业先行区，去年一批项目已入选广西人工智能赋能千行百业拟补贴名单。","自治区农业农村厅党组成员、副厅长欧毅霞表示，本次大赛是落实中央一号文件关于因地制宜发展农业新质生产力、大力发展智慧农业部署的具体行动，也是推动人工智能与农业深度融合的重要举措。今年大赛聚焦“桂字号”农业品牌推广和中国（广西）—东盟水果贸易第一IP打造这两个赛道，主要基于三点考虑：一是广西农业资源丰富，“桂字号”品牌基础扎实，但数字化运营和品牌传播仍是短板，需要以赛聚智、以赛促创，借助数字化手段让好产品卖出好价钱；二是广西面向东盟的区位优势得天独厚，水果贸易体量大、潜力足，亟需打造具有国际影响力的第一IP，以数字技术赋能贸易全链条，提升通关、溯源、营销等环节效率；三是这两个赛道切口小、场景实、应用性强，能够有效打通“技术—产业—市场”闭环，推动创新链与产业链精准对接，让更多“金种子”项目在八桂大地上落地生根、开花结果。\n\n欧毅霞提出三点希望：专业组勇当产业升级“领跑者”，形成可复制、可推广的解决方案；学生组争做乡村振兴“生力军”，把创新火花带回课堂、实验室和田间地头；各方共筑智慧农业“生态圈”，推动技术、资本、人才、政策等要素集聚。\n\n广西农业职业技术大学党委书记韦波在致辞中表示，作为承办方，学校将联合广西数字乡村研究院，在赛道组委会统一领导下做好组织、服务与保障，推动赛事成果与教育教学、产业需求有效对接，发挥面向东盟农业职业教育合作优势，为“桂字号”出海、中国—东盟水果贸易双向流通搭建桥梁。\n\n据介绍，广西正按照“北上广研发+广西集成+东盟应用”路径，打造中国（广西）—东盟智慧农业先行区。智慧农业创新大赛不仅是竞技舞台，更是创新成果转化、产业赋能的重要平台。去年，广西首次举办智慧农业创新大赛并取得丰硕成果，一批新技术、新理念、新模式脱颖而出，逐步被大家看见、被市场认可；如捷佳润科技跨境农业智能决策系统、北部湾产权交易所集团AI赋能广西桑蚕茧丝绸全产业链项目入选广西人工智能赋能千行百业拟补贴项目名单；荣获“最佳潜力奖”的“桂鸟先飞—滴滴打药平台”获得地方政府投资扩容实现了升级蝶变。\n\n以赛为媒，向新而行。随着多个项目在决赛中展开比拼，一批聚焦品牌数字化运营、跨境贸易、品控溯源和IP打造的创新项目将在八桂大地加速落地。未来，广西将持续以大赛为纽带，推动技术、资本、人才、政策等要素向智慧农业集聚，促进创新链、产业链、资金链、人才链深度融合，让更多“金种子”项目生根发芽、茁壮成长，为“桂字号”香飘东盟、中国—东盟水果贸易双向流通注入新动能，助力中国（广西）—东盟智慧农业先行区建设迈上新台阶。","中国农业农村信息网 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