[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-340":3,"related-340":55},{"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":24,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":49,"slug":52,"view_count":53,"doi":8,"paper":8,"created_at":54},340,"数字乡村建设对农业经济韧性的影响研究——基于2014—2023年中国30个省区市面板数据","https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016","在数字化快速发展背景下,作者基于2014—2023年中国30个省区市面板数据,运用双向固定效应模型和中介效应模型,系统考察数字乡村建设对农业经济韧性的影响与传导机制。研究发现:数字乡村建设显著提升农业经济韧性,且这种正向效应在自然灾害频发区、粮食主产区及高数字乡村试点区表现更为突出;传导机制主要通过促进农业技术创新实现。建议继续推进数字乡村建设,强化农业技术创新,实施差异化扶持政策以增强农业经济韧性。基金项目:安徽省社会科学创新发展研究课题(2024AH050264)。",null,"检测到您正在使用 Safari 浏览器，可能影响导出功能的正常使用，建议您下载 [Google Chrome](https:\u002F\u002Fwww.google.cn\u002Fintl\u002Fzh-CN\u002Fchrome\u002F)、 [Microsoft 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[10.12371\u002Fj.ynau(s).202603058](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)\n\n数字乡村建设对农业经济韧性的影响研究\n\n 文摘阅读 11\n\n 下载 0\n\n 导出题录 0\n\n 被引 0\n\n[潘和平](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)[胡熠](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)[章蓓蓓](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)\n\n[安徽建筑大学 经济与管理学院,安徽 合肥 230022](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)\n\n[在线阅读](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)[下载](https:\u002F\u002Foss.wanfangdata.com.cn\u002Ffile\u002Fdownload\u002Fperio_ynnydxxb-s202608016.aspx)[评审材料](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)\n\n引用\n\n收藏\n\n分享\n\n打印\n\n摘要：在数字化快速发展的时代背景下,数字乡村建设正日益成为增强农业经济韧性、推动农业高质量发展的关键力量.基于 2014-2023年中国 30个省区市面板数据,运用双向固定效应模型和中介效应模型,系统考察数字乡村建设对农业经济韧性的影响与传导机制.研究结果表明:数字乡村建设显著提升农业经济韧性,且这种正向效应在自然灾害频发区、粮食主产区及高数字乡村试点区表现更为突出,其传导机制主要通过促进农业技术创新实现.据此,应继续推进数字乡村建设,强化农业技术创新,实施差异化扶持政策以增强农业经济韧性.\n\n关键词：\n\n[数字乡村建设](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)[农业经济韧性](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)[农业技术创新](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)[传导机制](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)\n\n分类号：\n\nF323(中国农业经济)\n\n资助基金：\n\n[安徽省社会科学创新发展研究课题](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E5%AE%89%E5%BE%BD%E7%9C%81%E7%A4%BE%E4%BC%9A%E7%A7%91%E5%AD%A6%E5%88%9B%E6%96%B0%E5%8F%91%E5%B1%95%E7%A0%94%E7%A9%B6%E8%AF%BE%E9%A2%98) ( 2024AH050264 ) \n\n文献发表日期：\n\n 2026-08-31 \n\n在线出版日期：\n\n 2026-07-24 （万方平台首次上网日期，不代表文献的发表时间）\n\n页数：\n\n8 ( 136-143 )\n\n英文信息\n\n![Image 7](https:\u002F\u002Fc.wanfangdata.com.cn\u002F\u002Fimages\u002FPeriodicalImages\u002Fynnydxxb-s\u002Fynnydxxb-s.jpg)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fynnydxxb-s202608016)\n\n[云南农业大学学报](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fynnydxxb-s)\n\n CSCD  AMI \n\nISSN：1004-390X\n\n年,卷(期)：[2026,20(8)](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fynnydxxb-s?tabId=article&publishYear=2026&issueNum=8)\n\n所属栏目：[农业农村现代化](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fynnydxxb-s\u002F?tabId=column&yearType=all&ztext=%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E7%8E%B0%E4%BB%A3%E5%8C%96 \"农业农村现代化\")\n\n相关文献  换一换\n\n1.[数字乡村建设对新型农村集体经济发展的影响研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fjxnyxb202607016 \"数字乡村建设对新型农村集体经济发展的影响研究\")[翟福意](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E7%BF%9F%E7%A6%8F%E6%84%8F%22 \"翟福意\") 等; [江西农业学报](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fjxnyxb \"江西农业学报\");2026\n\n2.[数字乡村建设对农业经济韧性的影响——基于产业结构升级调节效应](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fybxyxb202502002 \"数字乡村建设对农业经济韧性的影响——基于产业结构升级调节效应\")[陈丽宇;](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E9%99%88%E4%B8%BD%E5%AE%87%22 \"陈丽宇\")[宜宾学院学报](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fybxyxb \"宜宾学院学报\");2025\n\n3.[乡村数字基础设施对农业经济韧性的影响分析](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Flyjj202512002 \"乡村数字基础设施对农业经济韧性的影响分析\")[曹楚涵](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E6%9B%B9%E6%A5%9A%E6%B6%B5%22 \"曹楚涵\") 等; [林业经济](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Flyjj \"林业经济\");2025\n\n4.[数字乡村对农业经济韧性影响机制——基于城乡融合中介效应分析](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fzgnjh202511045 \"数字乡村对农业经济韧性影响机制——基于城乡融合中介效应分析\")[郅建迪](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E9%83%85%E5%BB%BA%E8%BF%AA%22 \"郅建迪\") 等; [中国农机化学报](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fzgnjh \"中国农机化学报\");2025\n\n5.[数字乡村建设对中国农业韧性的影响机制——基于中介效应和门槛效应模型的实证研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fhljdwjm202503008 \"数字乡村建设对中国农业韧性的影响机制——基于中介效应和门槛效应模型的实证研究\")[李小玉;](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E6%9D%8E%E5%B0%8F%E7%8E%89%22 \"李小玉\")[对外经贸](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fhljdwjm \"对外经贸\");2025\n\n[![Image 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136-143","论文",10,false,72,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,12,2,1,"基于省级面板数据的实证研究，结论可靠，但时效性较差。",[23],{"name":10,"url":6},[25,26,27,28,29,30],"数字乡村","农业经济韧性","中介效应","30省面板","农业技术创新","云南农业大学学报",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":39,"locked":13,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":45},[44],{"code":32,"score":18,"supported":45,"title":46,"abstract":47,"tags":48},true,[25],[25],[25],[50,51],"云南农业大学学报 农业技术创新 农业经济韧性 中介效应","云南农业大学学报 农业技术创新","云南农业大学学报农业技术创新农业经济韧性中介效应-340",6,"2026-08-09T23:54:49.601668Z",{"total":53,"page":20,"page_size":53,"items":56},[57,104,163,208,246,286],{"id":58,"title":59,"url":60,"summary":61,"summary_zh":8,"content":8,"source_name":62,"source_url":8,"published_at":63,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":64,"score_detail":65,"sources":69,"tags":71,"primary_topic":74,"secondary_topics":75,"classification":76,"search_phrases":88,"slug":91,"view_count":67,"doi":92,"paper":93,"created_at":103},3003,"数字乡村建设对农业经济韧性的影响研究——基于2014—2023年30个省份面板数据","https:\u002F\u002Fxb.ynau.edu.cn\u002Fjwk_sk\u002Fcn\u002Farticle\u002Fpdf\u002Fpreview\u002F10.12371\u002Fj.ynau(s).202603058.pdf","安徽建筑大学潘和平等基于2014—2023年中国30个省份面板数据，运用双向固定效应模型和中介效应模型系统考察数字乡村建设对农业经济韧性的影响与传导机制。研究结果表明：数字乡村建设显著提升农业经济韧性，且这种正向效应在自然灾害频发区、粮食主产区及高数字乡村试点区表现更为突出；其传导机制主要通过促进农业技术创新实现。","云南农业大学学报(社会科学)2026,20(0):1-8","2026-09-15T00:00:00Z",80,{"impact":16,"substance":17,"depth":16,"authority":66,"freshness":67,"relevant":20,"comment":68},13,9,"基于30省十年面板数据的实证研究，方法规范、结论明确，对数字乡村政策评估有参考价值，但属学术论文，公共传播性有限。",[70],{"name":62,"url":60},[25,26,72,29,73],"粮食主产区","面板数据",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":77},{"candidates":78,"agricultural_evidence":45},[79,83],{"code":32,"score":18,"supported":45,"title":80,"abstract":81,"tags":82},[25],[25],[25],{"code":84,"score":20,"supported":13,"title":85,"abstract":86,"tags":87},"A8",[],[],[72],[89,90],"数字乡村 农业经济韧性","潘和平 安徽建筑大学 数字乡村","数字乡村农业经济韧性-3003","10.12371\u002Fj.ynau(s).202603058.pdf",{"doi":92,"openalex_id":8,"authors":94,"venue":8,"cited_by_count":95,"oa_url":8,"card":96,"direction":100,"ingested_from":102},[],0,{"tldr":97,"method":98,"finding":99,"direction":100,"opportunity":101},"基于30省面板数据，实证检验数字乡村建设对农业经济韧性的提升效应及传导机制。","2014—2023年30省面板数据，双向固定效应与中介效应模型。","数字乡村建设显著提升农业经济韧性，且在灾害频发区、粮食主产区、高试点区更突出，农业技术创新为中介。","数字乡村与农业信息化","可进一步探究数字乡村不同维度（如电商、治理数字化）对韧性的异质性影响及空间溢出效应。","agent","2026-09-20T00:03:08.396757Z",{"id":105,"title":106,"url":107,"summary":108,"summary_zh":8,"content":8,"source_name":109,"source_url":8,"published_at":110,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":111,"score_detail":112,"sources":116,"tags":118,"primary_topic":122,"secondary_topics":123,"classification":124,"search_phrases":149,"slug":152,"view_count":153,"doi":154,"paper":155,"created_at":162},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",75,{"impact":16,"substance":17,"depth":16,"authority":113,"freshness":114,"relevant":20,"comment":115},14,3,"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。",[117],{"name":109,"url":107},[25,119,29,120,121],"双重差分","华中农业大学","国家自然科学基金",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":125},{"candidates":126,"agricultural_evidence":45},[127,131,137,143],{"code":32,"score":18,"supported":45,"title":128,"abstract":129,"tags":130},[25],[25],[25],{"code":132,"score":114,"supported":45,"title":133,"abstract":134,"tags":136},"G1",[],[135],"成果转化",[],{"code":138,"score":114,"supported":45,"title":139,"abstract":140,"tags":142},"I1",[],[141],"数字农业",[],{"code":144,"score":114,"supported":45,"title":145,"abstract":146,"tags":148},"J2",[],[147],"农业现代化",[],[150,151],"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":154,"openalex_id":8,"authors":156,"venue":8,"cited_by_count":95,"oa_url":8,"card":157,"direction":100,"ingested_from":102},[],{"tldr":158,"method":159,"finding":160,"direction":100,"opportunity":161},"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。","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。","2026-10-05T00:04:56.164123Z",{"id":164,"title":165,"url":166,"summary":167,"summary_zh":8,"content":168,"source_name":169,"source_url":8,"published_at":170,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":171,"score_detail":172,"sources":175,"tags":177,"primary_topic":183,"secondary_topics":184,"classification":185,"search_phrases":201,"slug":204,"view_count":153,"doi":8,"paper":205,"created_at":207},1033,"数字乡村建设对农业新质生产力的影响效应与作用机制——基于2012—2023年30省份面板数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html","原文标题:数字乡村建设对农业新质生产力的影响效应与作用机制。作者:杜一鸣、贾慧静、王强(西安交通大学马克思主义学院等)。基于2012—2023年中国30个省份的面板数据,采用双向固定效应模型,实证检验数字乡村建设对农业新质生产力的影响,并引入中介效应模型和调节效应模型考察农村创新创业活跃度的中介作用以及农村产业融合的调节效应。研究结果表明:数字乡村建设可以显著促进农业新质生产力提升,且这种促进作用在'胡焕庸线'以东地区、非粮食主产区及农业新质生产力水平较高的地区更为显著;农村创新创业活跃度发挥了部分中介作用;农村产业融合对数字乡村建设与农业新质生产力之间的关系具有显著的正向调节作用。","0\n\n发表咨询在线!\n\n###### 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[数字乡村建设对农业新质生产力的影响效应与作用机制](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n\n# 统计与决策2026年第01期：数字乡村建设对农业新质生产力的影响效应与作用机制\n\n来源：[期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002F)时间： 2026年8月28日 星期五\n\n* * *\n\n作者：杜一鸣;贾慧静;王强;\n\n单位：西安交通大学马克思主义学院;延安大学政法与公共管理学院;温州理工学院经济与管理学院;\n\n**摘要：**在加快培育新质生产力的背景下，数字乡村建设已成为推动农业现代化和农业生产力提升的重要路径，但其对农业新质生产力的作用路径与内在机制仍有待系统考察。文章基于2012—2023年中国30个省份的面板数据，采用双向固定效应模型，实证检验数字乡村建设对农业新质生产力的影响，并进一步引入中介效应模型和调节效应模型，考察农村创新创业活跃度的中介作用以及农村产业融合的调节效应。研究结果表明：数字乡村建设可以显著促进农业新质生产力提升，且这种促进作用在“胡焕庸线”以东地区、非粮食主产区及农业新质生产力水平较高的地区更为显著。从作用机制看，农村创新创业活跃度在数字乡村建设与农业新质生产力之间发挥了部分中介作用，数字要素投入通过激发农村创新创业活动加速了新质劳动者、新质劳动资料与新质劳动对象的形成与升级。此外，农村产业融合对数字乡村建设与农业新质生产力之间的关系具有显著的正向调节作用，农村产业融合水平越高，数字乡村建设对农业新质生产力的赋能作用越强。\n\n**关键词：**数字乡村建设;;农业新质生产力;;农村创新创业活跃度;;产业融合\n\n**基金资助：**浙江省哲学社会科学规划“省市合作”课题（25SSHZ079YB）\n\n##### 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统计与决策](http:\u002F\u002Fwww.qikanvip.com\u002Fstatic\u002Fhexin\u002Ftjjc.jpg)统计与决策 北大核心 CSSCI AMI扩展 ISSN：1002-6487 CN：42-1009\u002FC 出版地：北京市 主办单位：湖北长江报刊传媒(集团)有限公司 主管单位：长江出版传媒股份有限公司 复合影响因子：9.86 综合影响因子：6.682 创刊时间：1984 期刊官网：http:\u002F\u002Fwww.tjyjc.com\u002F出版周期：半月](http:\u002F\u002Ftjjc.qikanvip.com\u002F \"统计与决策\")\n\n期刊VIP网专注学术论文咨询指导、国外出版指导、国内出版指导，提供全方位专业服务，论文指导服务涵盖SCI、SSCI、EI、SCOPUS，论文指导服务内容包括翻译、润色、预审，期刊指导服务内容包括期刊推荐、发表支持。您可以与学术顾问沟通，介绍自己的学术需求，制定专属学术服务方案。\n\n* * *\n\nwww.qikanvip.com版权所有 仿冒必究 投诉邮箱：qianyanns@163.com [京ICP备17075097号-4](http:\u002F\u002Fbeian.miit.gov.cn\u002F \"工信部备案系统\")\n\n**科核2个月出刊 收稿方向**\n\n#### [方向：就业、人力资源 ##### 了解适投期刊 #### 方向：法律、财务、经济 ##### 了解适投期刊 #### 方向：人才培养、企业管理 ##### 了解适投期刊 #### 方向：计算机、机械、电力 ##### 了解适投期刊 #### 方向：化工、医药化工 ##### 了解适投期刊 #### 方向：物流、环保、汽车 ##### 了解适投期刊 #### 方向：知识产权、营销 ##### 了解适投期刊 #### 方向：舞蹈、绘画、雕塑、美术 ##### 了解适投期刊 #### 方向：艺术设计、视觉设计、创意设计 ##### 了解适投期刊 #### 方向：广告、创意设计 ##### 了解适投期刊 #### 方向：室内设计、装饰设计 ##### 了解适投期刊 #### 方向：文创设计、平面设计 ##### 了解适投期刊 #### 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2026(1)","2026-08-20T16:00:00Z",76,{"impact":173,"substance":17,"depth":16,"authority":113,"freshness":19,"relevant":20,"comment":174},20,"基于省级面板数据的实证研究，探讨数字乡村建设对农业新质生产力的影响机制，数据详实、方法规范，但发表于2026年第1期，时效性较低。",[176],{"name":169,"url":166},[25,178,27,179,180,181,182],"农业新质生产力","双向固定效应","30省份面板","产业融合","胡焕庸线",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":186},{"candidates":187,"agricultural_evidence":45},[188,192,197],{"code":32,"score":18,"supported":45,"title":189,"abstract":190,"tags":191},[25],[25],[25],{"code":193,"score":20,"supported":13,"title":194,"abstract":195,"tags":196},"G4",[],[],[181],{"code":144,"score":20,"supported":13,"title":198,"abstract":199,"tags":200},[],[],[178],[202,203],"农业新质生产力 双向固定效应 30省份面板 中介效应","农业新质生产力 双向固定效应","农业新质生产力双向固定效应30省份面板中介效应-1033",{"doi":8,"openalex_id":8,"authors":206,"venue":8,"cited_by_count":95,"oa_url":8,"card":8,"direction":8,"ingested_from":102},[],"2026-08-28T00:07:02.181336Z",{"id":209,"title":210,"url":211,"summary":212,"summary_zh":8,"content":213,"source_name":214,"source_url":8,"published_at":215,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":216,"score_detail":217,"sources":220,"tags":222,"primary_topic":227,"secondary_topics":228,"classification":229,"search_phrases":240,"slug":243,"view_count":114,"doi":244,"paper":8,"created_at":245},938,"数字乡村建设对粮食生产韧性的影响 基于30个中国省份面板数据的阈值效应分析","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fnutrition\u002Farticles\u002F10.3389\u002Ffnut.2026.1901996\u002Ffull","原文标题：The impact of digital rural construction on grain production resilience。使用2012-2023年30个中国省份面板数据，构建数字乡村建设与粮食生产韧性的综合指标，采用双向固定效应模型、中介模型与面板阈值模型检验直接效应、传导机制与财政支撑边界条件。结果显示数字乡村建设显著提升粮食生产韧性，新质农业生产力通过升级农业劳动力、生产工具与要素配置部分中介该关系；阈值分析揭示两个财政支撑阈值0.0699和0.1236，低于第一阈值时效应最强，两阈值之间效应减弱，高于第二阈值效应不显著。本研究为通过数字乡村发展与精准财政支撑强化粮食与营养安全提供政策证据。","## Abstract\n\nEnsuring resilient grain production is essential for food availability, price stability, and nutrition security under growing climatic, market, and geopolitical uncertainty. However, limited evidence explains how digital rural construction strengthens resilience specifically at the grain-production stage. Using panel data from 30 Chinese provinces from 2012 to 2023, this study constructs composite indices of digital rural construction and grain production resilience and applies a two-way fixed effects model, a mediation model, and a panel threshold model to examine its direct effect, transmission mechanism, and fiscal boundary condition. The results show that digital rural construction significantly improves grain production resilience, and this conclusion remains robust after sample adjustments, alternative variable measurement, and endogeneity tests. Heterogeneity analysis indicates stronger effects in western China, major grain-producing areas, and production-consumption balanced areas. Mechanism analysis shows that new quality agricultural productive forces partially mediate this relationship by upgrading agricultural labor, production tools, and factor allocation. The threshold results reveal two fiscal-support thresholds, 0.0699 and 0.1236: the effect of digital rural construction is strongest below the first threshold, weakens between the two thresholds, and becomes statistically insignificant above the second threshold. These findings provide policy evidence for strengthening food and nutrition security through digital rural development and more efficient fiscal support.\n\n## 1 Introduction\n\nGlobal food and nutrition security is increasingly exposed to multiple, overlapping sources of uncertainty. In recent years, climate change, extreme weather events, geopolitical conflicts, fluctuations in international grain prices, and disruptions to global supply chains have shifted the food security agenda from a narrow concern with aggregate output to a broader concern with stable access to sufficient, safe, and nutritious food. The State of Food Security and Nutrition in the World 2024 indicates that global progress toward ending hunger, food insecurity, and all forms of malnutrition remains insufficient and uneven, and that billions of people still lack reliable access to healthy diets (). For China, a developing country with a population of more than 1.4 billion, resilient grain production is closely related not only to domestic economic stability and basic livelihood protection but also to the affordability and availability of staple foods that underpin dietary energy supply and nutrition security. Unlike ordinary industrial goods, grain production is jointly shaped by natural conditions, resource endowments, factor inputs, technological capacity, and institutional arrangements. It is therefore cyclical, vulnerable, and partly public-good oriented.\n\nAgainst this background, food security can no longer be understood solely as a static question of output sufficiency. It increasingly depends on whether the production system can maintain stable supply, recover rapidly from shocks, adapt continuously, and support long-term access to nutritionally essential foods. Recent evidence from China’s forest carbon sink research further shows that climate-response capacity is shaped not only by ecological endowments but also by research and development intensity, industrial structure upgrading, governance intervention, and regional spillover effects (). This reinforces the need to examine grain production resilience within a broader framework that links climate pressure, ecological governance, technological innovation, and food and nutrition security capacity.\n\nAt the same time, China has continued to promote the application of digital technologies in agricultural and rural modernization. The Action Plan for Digital Rural Development (2022–2025) emphasizes digital infrastructure upgrading, smart agriculture innovation, and digital governance capacity, with the aim of accelerating the digital transformation of agricultural production and management and achieving initial progress in smart agriculture by 2025 (). The 2024 Central No. 1 Document further calls for continued implementation of the digital rural development strategy, the development of smart agriculture, the narrowing of the urban–rural digital divide, the construction of regional big data platforms, and stronger coordination and sharing of agricultural information. The National Smart Agriculture Action Plan (2024–2028) also proposes that, by the end of 2028, information technology should play a visible role in reducing costs, increasing yields, and improving efficiency in grain, oil, and other important agricultural products (). These policy developments suggest that digital rural construction is becoming an important support for risk warning, resource allocation, and system recovery in grain production. The concept of resilience was first used to explain the capacity of ecological systems to maintain structural and functional stability under external disturbance (). It was later introduced into food systems and agricultural economics to analyze the ability of food systems to sustain supply, nutrition security, and social welfare under shocks and stresses (, ). From this perspective, grain production resilience is not a simple extension of output level. Rather, it captures the integrated capacity of a grain production system to ensure stable supply, respond to risks, stabilize food prices, and maintain the production-side foundation for adequate dietary intake in complex and uncertain environments.\n\nExisting studies on grain production resilience have mainly addressed three issues: measurement, spatiotemporal evolution, and determinants. One strand of research focuses on evaluation systems and regional differences, arguing that grain production resilience in China displays clear spatial disparities and is influenced by agricultural resource endowments, technological conditions, stages of economic development, and infrastructure (). A second strand extends the object of analysis from production alone to the broader food system, emphasizing that food security depends not only on production capacity but also on circulation, consumption, governance, and risk regulation (). A third strand examines the formation of food resilience from the perspectives of digital inclusive finance, labor migration, and farmland operation, suggesting that financial access, factor mobility, and scale operation affect the stability of food systems and grain production by improving resource allocation (, ). These studies provide an important foundation for understanding grain production resilience. However, relatively little attention has been paid to how digital rural construction, as a comprehensive digital and institutional arrangement, may strengthen the production-side basis of food availability, price stability, and nutrition security.\n\nDigital rural construction is a concrete extension of the Digital China strategy to agriculture and rural areas and an important pathway for agricultural and rural modernization. Unlike a narrow focus on information infrastructure, digital rural construction encompasses digital infrastructure, rural industrial digitalization, digital finance, rural e-commerce, digital governance, and the development of agricultural data resources. Its essence lies in embedding digital technologies, data elements, and platform-based organizations into the economic and social operation of rural areas (). The integration of the digital economy and agriculture can promote agricultural modernization by improving infrastructure, optimizing the behavior of agricultural operators, and reshaping industrial processes (). Related evidence from Chinese listed firms shows that digital transformation can reduce supply chain concentration by improving information transparency and information acquisition capability, thereby supporting supply-chain diversification and robustness (). Although this evidence is drawn from the corporate sector, it is consistent with the argument that digital technologies reshape inter-organizational relationships and resource coordination, which is relevant to the resilience of agricultural production and circulation systems. The rural digital economy can also increase agricultural total factor productivity through multiple pathways, including production upgrading, management transformation, and industrial improvement, thereby enhancing the quality of agricultural development (). International research similarly shows that smart farming and digital agriculture can improve agricultural efficiency and sustainability through precision management, resource conservation, risk identification, and knowledge sharing (, ). Taken together, these findings indicate that digital technology is moving from an external auxiliary tool to a key input in the agricultural production function, with deeper implications for production, management, governance, and food-system resilience.\n\nFrom the perspective of grain production resilience, digital rural construction may operate through at least three channels that are relevant to nutrition-oriented food security. First, digital infrastructure improves rural information accessibility and alleviates information asymmetry in traditional grain production. This enables agricultural operators to obtain meteorological information, input prices, market demand, and policy support in a more timely manner, thereby improving risk anticipation and production decision-making. More stable grain production can reduce the likelihood of supply disruption and sharp price fluctuations in staple foods, which are important determinants of household food access. Second, industrial digitalization introduces intelligent agricultural machinery, remote sensing, the agricultural Internet of Things, agricultural big data, and digital extension services into grain production. These technologies improve precision in sowing, irrigation, plant protection, harvesting, and post-disaster recovery. Smart agriculture can strengthen the shock resistance and recovery capacity of grain production systems through intelligent forecasting, disaster identification, and factor allocation (). Third, digital finance, rural e-commerce, and digital governance tools can improve farmers’ financing capacity, market connectivity, and access to public services, thereby enhancing the adaptability of grain production systems under market fluctuations and disaster shocks. Previous research has shown that digital rural construction strengthens the resilience of China’s food system, with rural digital finance and digital service platforms playing relatively stable enabling roles (). Incorporating digital rural construction into the analytical framework of grain production resilience therefore helps explain how the upstream production capacity required for food and nutrition security is formed in the era of digital transformation.\n\nIt is also important to recognize that the effect of digital rural construction on grain production resilience may not be purely linear. On the one hand, the extent to which digital technologies empower agriculture depends on whether productive forces can be upgraded. As the concept of new quality productive forces is extended to agriculture, increasing emphasis has been placed on the coordinated advancement of scientific and technological innovation, data elements, intelligent equipment, and human capabilities. New quality agricultural productive forces are dynamic and regionally differentiated, and their formation is closely associated with agricultural technological progress, the upgrading of production tools, and the reorganization of production factors (). The digital economy can enhance grain production resilience through technological innovation capacity and agricultural product marketing capacity, while digital inclusive finance can strengthen grain production resilience through agricultural technological innovation (, ). This suggests that digital rural construction does not merely improve grain production conditions directly. It may also enhance the stable supply capacity and risk response capacity of grain production systems by upgrading agricultural labor, means of production, and objects of labor. At the same time, the role of digital rural construction is constrained by public resource allocation. Fiscal support for agriculture can provide public investment for agricultural infrastructure, extension services, and risk-prevention systems, all of which are closely related to the capacity of local food systems to maintain stable supply under shocks. Yet if fiscal resources are inefficiently allocated or poorly structured, the enabling effect of digitalization may weaken. Local fiscal expenditure on agriculture, forestry, and water affairs is therefore an important condition for digitalization to strengthen agricultural resilience, and the effect of agricultural informatization on agricultural total factor productivity may also exhibit threshold characteristics (, ).\n\nOverall, the existing literature provides a useful foundation for studying digital rural construction and grain production resilience, but three gaps remain. First, studies of digital rural construction have largely focused on high-quality agricultural development, agricultural total factor productivity, farmers’ income, and rural governance, while systematic evidence on its impact on grain production resilience remains limited. Second, research on food resilience often adopts a food-system or supply-chain perspective, leaving the stability, adaptability, and transformative capacity of the production stage underexplored, even though production shocks are transmitted downstream to food availability, affordability, and diet quality. Third, the mechanisms and boundary conditions through which digital rural construction affects grain production resilience have not been sufficiently clarified, particularly the roles of agricultural productivity upgrading and fiscal support for agriculture.\n\nTo address these gaps, this study uses panel data from 30 Chinese provinces from 2012 to 2023 to examine how digital rural construction affects grain production resilience. After constructing composite indices of digital rural construction and grain production resilience, this study applies a two-way fixed effects model, a mediation model, and a panel threshold model to identify the direct effect, transmission mechanism, and fiscal boundary condition of digital rural construction. The study contributes to the literature in three respects. First, while existing research has mainly examined food-system resilience or the broader impact of the digital economy on agriculture, this study focuses specifically on the grain-production stage, thereby clarifying how digital rural construction contributes to the stability, recovery, and adaptive capacity of staple-food production. This provides production-side evidence for understanding nutrition security, especially the availability and affordability of staple foods in developing-country contexts. Second, beyond estimating the average effect of digital rural construction, this study introduces new quality agricultural productive forces as a mechanism variable, providing evidence that rural digital transformation enhances grain production resilience by upgrading agricultural laborers, production tools, and factor allocation. Third, by incorporating fiscal support for agriculture as a threshold variable, this study identifies the public-finance conditions under which digital rural construction is more or less effective, offering policy insights into how fiscal support can be better aligned with digital rural development to strengthen grain production resilience and, ultimately, the upstream foundation of food and nutrition security.\n\n## 2 Theoretical analysis and research hypotheses\n\n### 2.1 Direct effect of digital rural construction on grain production resilience\n\nGrain production resilience refers to the comprehensive capacity of a grain production system to maintain stable supply, recover rapidly, and continue adapting and upgrading under multiple shocks, including natural disasters, market fluctuations, resource constraints, and changes in the institutional environment. Drawing on digital technologies, digital platforms, and data elements, digital rural construction systematically reshapes agricultural production, operation, service provision, and governance. It thus provides new technological and organizational foundations for improving grain production resilience. The key to digitally enabled high-quality agricultural development is to overcome the constraints of inadequate information, inefficient resource allocation, and weak risk response in traditional agriculture through information sharing, technology diffusion, and factor reconfiguration (, ).\n\nFirst, digital rural construction can strengthen the risk-resistance capacity of grain production systems. Grain production is highly dependent on natural conditions and is characterized by strong seasonality. Weather changes, the spread of pests and diseases, fluctuations in input prices, and shifts in market demand can all affect production stability. Traditional agricultural operators often rely on experience-based judgment and have limited access to information, making it difficult to identify external shocks in a timely manner. By expanding rural broadband networks, mobile communication, agricultural information platforms, digital financial services, and digital extension services, digital rural construction improves agricultural operators’ access to meteorological, market, input, policy, and technical information. More efficient information transmission enables grain producers to adjust planting schedules, input use, and risk-prevention strategies more quickly, thereby enhancing system stability under external disturbance.\n\nSecond, digital rural construction can improve the recovery and adjustment capacity of grain production systems. Resilience is reflected not only in pre-shock protection but also in post-shock recovery. The introduction of remote sensing, the agricultural Internet of Things, intelligent machinery, drone-based field inspection, and digital extension services can improve the speed of disaster identification, machinery dispatch, input delivery, and technical support. The development of digital finance, rural e-commerce, and agricultural socialized service platforms can also ease the financial, market, and service constraints faced by agricultural operators during post-disaster recovery. Digital technology-driven high-quality agricultural and rural development is not simply the replacement of one technology by another; rather, it involves the overall upgrading of production organization, public services, and governance capacity (). In this sense, digital rural construction can shorten the time required for a grain production system to move from a shocked state back to a stable state.\n\nThird, digital rural construction can promote structural optimization in grain production systems. A higher level of resilience does not simply mean returning to the original state after a shock; it also implies upgrading production modes under pressure. By incorporating data elements into agricultural production, digital rural construction shifts grain production from experience-based judgment to data-driven decision-making, from extensive input use to precision management, and from single-link optimization to coordinated optimization across production, circulation, finance, and governance. Digital technologies empower agricultural development not only by improving production efficiency but also by strengthening agricultural value-chain coordination and reorganizing business models (). In the grain se","Frontiers in Nutrition 2026-08-05","2026-08-05T00:00:00Z",78,{"impact":17,"substance":218,"depth":173,"authority":18,"freshness":95,"relevant":20,"comment":219},24,"基于30省面板数据的实证研究，揭示数字乡村建设对粮食生产韧性的影响及财政支持阈值，结论新颖，对政策制定有参考价值，但发表于20天前，时效性不足。",[221],{"name":214,"url":211},[25,223,224,225,28,226],"Frontiers","阈值效应","粮食生产韧性","新质农业生产力",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":230},{"candidates":231,"agricultural_evidence":45},[232,236],{"code":32,"score":18,"supported":45,"title":233,"abstract":234,"tags":235},[25],[25],[25],{"code":84,"score":20,"supported":13,"title":237,"abstract":238,"tags":239},[],[],[225],[241,242],"新质农业生产力 粮食生产韧性 数字乡村 阈值效应","新质农业生产力 粮食生产韧性","新质农业生产力粮食生产韧性数字乡村阈值效应-938","10.3389\u002Ffnut.2026.1901996\u002Ffull","2026-08-25T00:03:29.421132Z",{"id":247,"title":248,"url":249,"summary":250,"summary_zh":8,"content":251,"source_name":252,"source_url":8,"published_at":253,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":254,"score_detail":255,"sources":257,"tags":259,"primary_topic":262,"secondary_topics":263,"classification":264,"search_phrases":281,"slug":284,"view_count":66,"doi":8,"paper":8,"created_at":285},198,"以数促质:数字乡村建设赋能农业新质生产力的影响研究","https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009","利用中国2013-2023年省级面板数据,对数字乡村建设与农业新质生产力的关系及其作用机制进行理论分析与实证检验。研究发现:数字乡村建设显著促进农业新质生产力发展;通过推动数字普惠金融发展和促进农业技术进步两个中介渠道发挥作用;在中西部地区数字乡村建设能够推动农业新质生产力发展;在财政支农水平较高地区通过提升数字普惠金融水平、在农业产业链延伸水平较高地区通过促使农业技术进步,机制作用更显著。研究为各地因地制宜制定数字乡村建设政策、提升农业新质生产力提供理论与实证支撑。","检测到您正在使用 Safari 浏览器，可能影响导出功能的正常使用，建议您下载 [Google Chrome](https:\u002F\u002Fwww.google.cn\u002Fintl\u002Fzh-CN\u002Fchrome\u002F)、 [Microsoft 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[10.3969\u002Fj.issn.1671-511X.2026.03.009](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n以\"数\"促\"质\":数字乡村建设赋能农业新质生产力的影响研究\n\n 文摘阅读 60\n\n 下载 1\n\n 导出题录 0\n\n 被引 0\n\n[张建平 1](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[蔡嘉慧 2](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[许润达 3](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n1.[江苏第二师范学院 商学院,江苏 南京 211200](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)2.[吉林大学 东北亚学院,吉林 长春 130012](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)3.[南京大学 商学院,江苏 南京 210023](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[在线阅读](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[下载](https:\u002F\u002Foss.wanfangdata.com.cn\u002Ffile\u002Fdownload\u002Fperio_dndxxb-zxsh202603009.aspx)[评审材料](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n引用\n\n收藏\n\n分享\n\n打印\n\n摘要：利用中国2013-2023 年省级面板数据,对数字乡村建设与农业新质生产力的关系及其作用机制进行理论分析与实证检验,研究发现:(1)数字乡村建设显著促进农业新质生产力发展.(2)数字乡村建设通过推动数字普惠金融发展和促进农业技术进步来发展农业新质生产力.(3)在中西部地区,数字乡村建设能够推动农业新质生产力发展;在财政支农水平较高的地区,数字乡村建设通过提升数字普惠金融水平推动农业新质生产力发展;在农业产业链延伸水平较高的地区,数字乡村建设通过促使农业技术进步推动农业新质生产力发展.研究结论为各地因地制宜制定数字乡村建设政策、提升农业新质生产力提供了有力的理论逻...\n\n关键词：\n\n[数字乡村建设](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[农业新质生产力](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[数字普惠金融](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[农业技术进步](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n机标分类号：\n\nF306(农业经济理论)F832.35(金融、银行)TH161(机械制造工艺)\n\n资助基金：\n\n[中国博士后科学基金](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E4%B8%AD%E5%9B%BD%E5%8D%9A%E5%A3%AB%E5%90%8E%E7%A7%91%E5%AD%A6%E5%9F%BA%E9%87%91) ( 2025M771829 ) [江苏省软科学研究项目](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E6%B1%9F%E8%8B%8F%E7%9C%81%E8%BD%AF%E7%A7%91%E5%AD%A6%E7%A0%94%E7%A9%B6%E9%A1%B9%E7%9B%AE) ( BR2025025 ) [江苏省社会科学基金青年项目](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E6%B1%9F%E8%8B%8F%E7%9C%81%E7%A4%BE%E4%BC%9A%E7%A7%91%E5%AD%A6%E5%9F%BA%E9%87%91%E9%9D%92%E5%B9%B4%E9%A1%B9%E7%9B%AE) ( 24MLC004 ) [江苏省高校社科联发展专项课题](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E6%B1%9F%E8%8B%8F%E7%9C%81%E9%AB%98%E6%A0%A1%E7%A4%BE%E7%A7%91%E8%81%94%E5%8F%91%E5%B1%95%E4%B8%93%E9%A1%B9%E8%AF%BE%E9%A2%98) ( 25GSB-039 ) \n\n文献发表日期：\n\n 2026-05-20 \n\n在线出版日期：\n\n 2026-07-06 （万方平台首次上网日期，不代表文献的发表时间）\n\n页数：\n\n11 ( 78-88 )\n\n英文信息\n\n![Image 9](https:\u002F\u002Fc.wanfangdata.com.cn\u002F\u002Fimages\u002FPeriodicalImages\u002Fdndxxb-zxsh\u002Fdndxxb-zxsh.jpg)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[东南大学学报（哲学社会科学版）](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh)\n\n CSTPCD  北大核心  CSSCI  AMI \n\nISSN：1671-511X \n\n年,卷(期)：[2026,28(3)](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh?tabId=article&publishYear=2026&issueNum=3)\n\n所属栏目：[经济决策与企业管理](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh\u002F?tabId=column&yearType=all&ztext=%E7%BB%8F%E6%B5%8E%E5%86%B3%E7%AD%96%E4%B8%8E%E4%BC%81%E4%B8%9A%E7%AE%A1%E7%90%86 \"经济决策与企业管理\")\n\n相关文献  换一换\n\n1.[农业数字化赋能农业新质生产力的效应研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fhnkx202601020 \"农业数字化赋能农业新质生产力的效应研究\")[夏静怡](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E5%A4%8F%E9%9D%99%E6%80%A1%22 \"夏静怡\") 等; 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2026-07-06上网","2026-07-06T00:00:00Z",71,{"impact":16,"substance":173,"depth":16,"authority":66,"freshness":19,"relevant":20,"comment":256},"核心期刊论文，基于省级面板数据实证分析数字乡村建设对农业新质生产力的影响，数据详实、结论可靠，但发表时间较早，时效性低。",[258],{"name":252,"url":249},[25,178,27,260,261],"省级面板","数字普惠金融",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":265},{"candidates":266,"agricultural_evidence":45},[267,271,277],{"code":32,"score":18,"supported":45,"title":268,"abstract":269,"tags":270},[25],[25],[25],{"code":272,"score":153,"supported":45,"title":273,"abstract":274,"tags":276},"G3",[],[275],"财政支农",[261],{"code":144,"score":20,"supported":13,"title":278,"abstract":279,"tags":280},[],[],[178],[282,283],"农业新质生产力 数字普惠金融 中介效应 数字乡村","农业新质生产力 数字普惠金融","农业新质生产力数字普惠金融中介效应数字乡村-198","2026-08-04T01:15:47.409908Z",{"id":287,"title":288,"url":289,"summary":290,"summary_zh":8,"content":291,"source_name":292,"source_url":8,"published_at":293,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":294,"score_detail":295,"sources":298,"tags":300,"primary_topic":304,"secondary_topics":305,"classification":306,"search_phrases":317,"slug":320,"view_count":12,"doi":8,"paper":8,"created_at":321},196,"数字乡村发展政策的共同富裕效应研究——来自中国县域面板数据的经验证据","https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012","基于数字乡村发展政策这一准自然实验,统计中国2011-2022年2675个县域面板数据,系统考察数字乡村发展政策对共同富裕的影响效应及其作用机制。研究发现:数字乡村发展政策把数字技术和数字平台嵌入农业生产各环节与乡村生活各领域,能够有效提升农民收入水平、缓解农村内部收入不平等、缩小城乡收入差距。机制分析表明作用机制为产业融合-组织培育-经济机会,即政策不仅能够赋能农业接二连三,催生一批懂技术、会经营的经营主体,还可拓展非农就业机会,助力共同富裕。","检测到您正在使用 Safari 浏览器，可能影响导出功能的正常使用，建议您下载 [Google Chrome](https:\u002F\u002Fwww.google.cn\u002Fintl\u002Fzh-CN\u002Fchrome\u002F)、 [Microsoft 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[10.3969\u002Fj.issn.1003-7470.2026.04.012](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n数字乡村发展政策的共同富裕效应研究——来自中国县域面板数据的经验证据\n\n 文摘阅读 12\n\n 下载 0\n\n 导出题录 0\n\n 被引 0\n\n[邓金钱](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[李潇](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n[兰州大学经济学院 甘肃兰州 730000](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n[在线阅读](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[下载](https:\u002F\u002Foss.wanfangdata.com.cn\u002Ffile\u002Fdownload\u002Fperio_ncjj202604012.aspx)[评审材料](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n引用\n\n收藏\n\n分享\n\n打印\n\n摘要：数字乡村系统性地重塑了乡村的经济结构与社会生态,为实现共同富裕提供了前所未有的新机遇.本文采用\"数字乡村发展政策\"这一准自然实验,统计中国 2011-2022年 2675个县域的面板数据,系统考察了数字乡村发展政策对共同富裕的影响效应及其作用机制.研究发现:数字乡村发展政策把数字技术和数字平台嵌入农业生产各环节与乡村生活各领域,能够有效提升农民收入水平,缓解农村内部收入不平等、缩小城乡收入差距,有助于实现共同富裕.机制分析表明,数字乡村发展政策影响共同富裕的作用机制为\"产业融合-组织培育-经济机会\",即数字乡村发展政策不仅能够赋能农业\"接二连三\",催生一批懂技术、会经...\n\n关键词：\n\n[数字乡村](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[共同富裕](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[农民收入](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[农村内部收入不平等](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[城乡收入差距](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n分类号：\n\nF323.8(中国农业经济)\n\n资助基金：\n\n[中央高校基本科研业务费文科振兴计划B类团队项目](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E4%B8%AD%E5%A4%AE%E9%AB%98%E6%A0%A1%E5%9F%BA%E6%9C%AC%E7%A7%91%E7%A0%94%E4%B8%9A%E5%8A%A1%E8%B4%B9%E6%96%87%E7%A7%91%E6%8C%AF%E5%85%B4%E8%AE%A1%E5%88%92B%E7%B1%BB%E5%9B%A2%E9%98%9F%E9%A1%B9%E7%9B%AE) ( 2024lzujbkyqm018 ) \n\n文献发表日期：\n\n 2026-07-01 \n\n在线出版日期：\n\n 2026-07-17 （万方平台首次上网日期，不代表文献的发表时间）\n\n页数：\n\n14 ( 104-117 )\n\n英文信息\n\n![Image 7](https:\u002F\u002Fc.wanfangdata.com.cn\u002F\u002Fimages\u002FPeriodicalImages\u002Fncjj\u002Fncjj.jpg)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n[农村经济](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fncjj)\n\n CSTPCD  北大核心  CSSCI  AMI \n\nISSN：1003-7470\n\n年,卷(期)：[2026(4)](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fncjj?tabId=article&publishYear=2026&issueNum=4)\n\n所属栏目：[城乡融合](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fncjj\u002F?tabId=column&yearType=all&ztext=%E5%9F%8E%E4%B9%A1%E8%9E%8D%E5%90%88 \"城乡融合\")\n\n相关文献  换一换\n\n1.[县域创业活动促进农民增收的效应研究——基于1 746个县域的面板数据分析](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fahnykx202611040 \"县域创业活动促进农民增收的效应研究——基于1 746个县域的面板数据分析\")[马林靖](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E9%A9%AC%E6%9E%97%E9%9D%96%22 \"马林靖\") 等; [安徽农业科学](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fahnykx \"安徽农业科学\");2026\n\n2.[数字技术驱动甘肃乡村产业与县域经济协同发展的机制与路径研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fshidjm202606025 \"数字技术驱动甘肃乡村产业与县域经济协同发展的机制与路径研究\")[李沂铭;](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E6%9D%8E%E6%B2%82%E9%93%AD%22 \"李沂铭\")[时代经贸](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fshidjm \"时代经贸\");2026\n\n3.[四川县域经济高质量发展助推共同富裕的策略研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fjjyjdk202609009 \"四川县域经济高质量发展助推共同富裕的策略研究\")[余声启;](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E4%BD%99%E5%A3%B0%E5%90%AF%22 \"余声启\")[经济研究导刊](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fjjyjdk 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2026-07-17上网","2026-07-17T00:00:00Z",81,{"impact":296,"substance":17,"depth":16,"authority":113,"freshness":19,"relevant":20,"comment":297},25,"基于大规模县域面板数据的实证研究，揭示数字乡村政策对共同富裕的促进作用，具有较高学术价值和政策参考意义，但发表时间较早。",[299],{"name":292,"url":289},[25,301,302,27,303],"共同富裕","县域面板","农业政策",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":307},{"candidates":308,"agricultural_evidence":45},[309,313],{"code":32,"score":18,"supported":45,"title":310,"abstract":311,"tags":312},[25],[25],[25],{"code":193,"score":20,"supported":13,"title":314,"abstract":315,"tags":316},[],[],[301],[318,319],"中介效应 共同富裕 农业政策 县域面板","中介效应 共同富裕","中介效应共同富裕农业政策县域面板-196","2026-08-04T01:15:47.369167Z"]