[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1033":3,"related-1033":73},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":34,"secondary_topics":40,"classification":41,"search_phrases":63,"slug":66,"view_count":67,"doi":8,"paper":68,"created_at":72},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。",null,"0\n\n发表咨询在线!\n\n###### ![Image 1](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fmobile\u002Ftemp\u002Fmobile_53kf_1519890059.gif)\n\n您身边的学术顾问\n\n![Image 2](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Fbox_101711301676361312.gif)\n\n![Image 3](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Fbox_101711301644891649.png)\n\n![Image 4](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Ficon_on_101711301644910548.jpg)\n\n![Image 5](https:\u002F\u002Fwww20.53kf.com\u002Fimg\u002Fupload\u002F10171130\u002Fzdypic\u002Ficon_on_101711301644910548.jpg)\n\n[![Image 6: 期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002Fimages23\u002Flogo.png)](http:\u002F\u002Fwww.qikanvip.com\u002F)\n\n*   [首页](http:\u002F\u002Fwww.qikanvip.com\u002F)\n*   [SCI期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n    *   [SCIE期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fsci\u002F)\n    *   [SSCI社科类](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fssci\u002F)\n    *   [ESCI期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fesci\u002F)\n    *   [AHCI艺术人文](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fahci\u002F)\n    *   [Scopus期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fscopus\u002F)\n    *   [DOAJ开放期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Fdoaj\u002F)\n    *   [OAJ开放期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fsci\u002Foaj\u002F)\n    *   [英文普刊](http:\u002F\u002Fwww.qikanvip.com\u002Fyingwen\u002F)\n\n*   [中文期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n    *   [核心期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fhexin\u002F)\n    *   [稳妥核心](http:\u002F\u002Fwww.qikanvip.com\u002Fhz\u002Fhexin\u002F)\n    *   [工业期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fgongyeqikan\u002F)\n    *   [教育期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fjiaoyuqikan\u002F)\n    *   [农业期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fnongyeqikan\u002F)\n    *   [建筑期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fjianzhuqikan\u002F)\n    *   [电子期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fdianziqikan\u002F)\n    *   [自然科学](http:\u002F\u002Fwww.qikanvip.com\u002Fzirankexueqikan\u002F)\n    *   [社科期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fshekeqikan\u002F)\n    *   [经济期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fjingjiqikan\u002F)\n    *   [医学期刊](http:\u002F\u002Fwww.qikanvip.com\u002Fyixueqikan\u002F)\n\n*   [学术常识](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n    *   [期刊常识](http:\u002F\u002Fwww.qikanvip.com\u002Fwrite\u002F)\n    *   [论文期刊百科](http:\u002F\u002Fwww.qikanvip.com\u002Fqikanbaike\u002F)\n    *   [SSCI知识](http:\u002F\u002Fwww.qikanvip.com\u002Fgdssci\u002F)\n    *   [EI期刊\u002F会议](http:\u002F\u002Fwww.qikanvip.com\u002Fgdec\u002F)\n    *   [SCOPUS常识](http:\u002F\u002Fwww.qikanvip.com\u002Fgdsps\u002F)\n    *   [翻译润色](http:\u002F\u002Fwww.qikanvip.com\u002Fgdfr\u002F)\n\n*   [著作出书](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n    *   [国际出书](http:\u002F\u002Fwww.qikanvip.com\u002Fgdcs\u002F)\n    *   [著作出书](http:\u002F\u002Fwww.qikanvip.com\u002Fkejzzhu\u002Fzzuo\u002F)\n\n*   [关于我们](http:\u002F\u002Fwww.qikanvip.com\u002Fguifan\u002F)\n\n[学术咨询](javascript:void(0))\n\n我们的服务符合学术规范和道德\n\n 专业 高端让您使用时没有后顾之忧\n\n1.   当前位置：[期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002F)\n2.   [统计与决策2026年第01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T01T15982\u002F)\n3.   [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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方向：包装设计、装帧设计 ##### 了解适投期刊 #### 方向：新媒体、家具、陶瓷、旅游 ##### 了解适投期刊 #### 方向：非遗、戏剧、服装、书法 ##### 了解适投期刊 #### 方向：体育、教育 ##### 了解适投期刊](javascript:void(0))\n\n[站长统计](https:\u002F\u002Fwww.cnzz.com\u002Fstat\u002Fwebsite.php?web_id=1255393057 \"站长统计\")\n\n[理工科核心资源库](http:\u002F\u002Fwww.qikanvip.com\u002Fhot.html)","统计与决策 2026(1)","2026-08-20T16:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},20,22,18,14,2,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31,32,33],"数字乡村","农业新质生产力","中介效应","双向固定效应","30省份面板","产业融合","胡焕庸线",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":42,"locked":14,"version":43,"method":44,"evidence":45},"classified","2026-10-22.2","rules",{"candidates":46,"agricultural_evidence":49},[47,53,58],{"code":35,"score":48,"supported":49,"title":50,"abstract":51,"tags":52},12,true,[27],[27],[27],{"code":54,"score":22,"supported":14,"title":55,"abstract":56,"tags":57},"G4",[],[],[32],{"code":59,"score":22,"supported":14,"title":60,"abstract":61,"tags":62},"J2",[],[],[28],[64,65],"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",4,{"doi":8,"openalex_id":8,"authors":69,"venue":8,"cited_by_count":70,"oa_url":8,"card":8,"direction":8,"ingested_from":71},[],0,"agent","2026-08-28T00:07:02.181336Z",{"total":74,"page":22,"page_size":74,"items":75},6,[76,117,149,180,230,265],{"id":77,"title":78,"url":79,"summary":80,"summary_zh":8,"content":81,"source_name":82,"source_url":8,"published_at":83,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":84,"score_detail":85,"sources":88,"tags":90,"primary_topic":93,"secondary_topics":94,"classification":95,"search_phrases":112,"slug":115,"view_count":86,"doi":8,"paper":8,"created_at":116},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 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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":19,"substance":17,"depth":19,"authority":86,"freshness":21,"relevant":22,"comment":87},13,"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。",[89],{"name":82,"url":79},[27,28,29,91,92],"省级面板","数字普惠金融",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":96},{"candidates":97,"agricultural_evidence":49},[98,102,108],{"code":35,"score":48,"supported":49,"title":99,"abstract":100,"tags":101},[27],[27],[27],{"code":103,"score":67,"supported":49,"title":104,"abstract":105,"tags":107},"G3",[],[106],"财政支农",[92],{"code":59,"score":22,"supported":14,"title":109,"abstract":110,"tags":111},[],[],[28],[113,114],"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":118,"title":119,"url":120,"summary":121,"summary_zh":8,"content":122,"source_name":123,"source_url":8,"published_at":124,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":125,"score_detail":126,"sources":129,"tags":131,"primary_topic":134,"secondary_topics":135,"classification":136,"search_phrases":143,"slug":146,"view_count":147,"doi":8,"paper":8,"created_at":148},466,"The Impact of Digital Rural Construction on Nighttime Economic Vitality","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0","本研究系统考察数字乡村建设与夜间经济繁荣之间的影响机制,通过构建双向固定效应模型、门槛回归模型和空间杜宾模型。发现三点关键洞见:1)数字乡村设施建设通过降低市场交易成本和培育新型消费模式有效驱动夜间经济增长,这一效应在经济发达地区尤为突出;2)环境质量与城乡均衡发展对数字技术的赋能作用具有非线性调节效应,当空气污染浓度和城乡收入差距超过特定门槛时,边际促进作用显著减弱;3)数字乡村建设对本地夜间经济有显著正向影响,但对非本地夜间经济影响不显著。本研究为数字经济时代农村经济繁荣提供了新的理论视角,对平衡数字基础设施、实施差异化环境治理、优化城乡收入分配具有政策启示。","*   Article\n*   [Open access](https:\u002F\u002Fwww.springernature.com\u002Fgp\u002Fopen-science\u002Fabout\u002Fthe-fundamentals-of-open-access-and-open-research)\n*   Published: 08 August 2026\n\n*   [Xialing Sun](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Xialing-Sun-Aff1-Aff2)[1](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff1),[2](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff2), \n*   [Peidong Shi](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Peidong-Shi-Aff3)[3](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff3), \n*   [Jiaxi Wu](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Jiaxi-Wu-Aff4)[4](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff4)&\n*   …\n*   [Zheng Meng](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#auth-Zheng-Meng-Aff3)[3](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#Aff3)\n\n[_Humanities and Social Sciences Communications_](https:\u002F\u002Fwww.nature.com\u002Fpalcomms) (2026) [Cite this article](https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41599-026-08656-0#citeas)\n\nWe are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.\n\n## Abstract\n\nAs a key engine driving the high-quality development of agriculture and rural areas, digital rural construction plays a pivotal role in the structural extension of the nighttime economy from urban to rural areas. This study systematically examines the influence mechanism between digital rural construction and the prosperity of the nighttime economy by constructing a two-way fixed effects model, a threshold regression model, and a spatial Durbin model. The findings reveal the following three key insights: (1) the construction of digital rural facilities effectively drives the growth of the nighttime economy by reducing market transaction costs and fostering new consumption patterns, with this effect being particularly prominent in economically developed regions; (2) environmental quality and balanced urban–rural development exhibit nonlinear moderating effects on the enabling role of digital technologies, as when air pollution concentrations and the urban–rural income gap exceed specific thresholds, the marginal promotion effect weakens significantly; and (3) digital rural construction has a significant positive effect on the local nighttime economy, but its impact on nonlocal nighttime economies is insignificant. High-quality development of the nighttime economy can be promoted by balancing digital infrastructure, implementing differentiated environmental governance, and optimizing the urban–rural income distribution. This study provides a new theoretical perspective and research reference for rural economic prosperity in the era of the digital economy.\n\n## Acknowledgements\n\nThis research was supported by the Social Sciences Fund of Xinjiang Production and Construction Corps (No. 24QN03), the Startup Project for Advanced Talents of Shihezi University, China (NO. RCSK202502), the Maintaining Stability and Guarding the Border Think Tank Project of Xinjiang Production and Construction Corps (No. 24BTZKYB16), the Talent Program “Tianchi Talent” in Xinjiang Uygur Autonomous Region, the China Postdoctoral Science Foundation (No. 2024M761858), the Shandong Postdoctoral Science Foundation (No. SDCX-RS-202500040), the National Statistical Science Research Project (No. 2025LY068), and the Shandong Provincial Natural Science Foundation (No. ZR2026QC0665).\n\n## Author information\n\n### Authors and Affiliations\n\n1.   School of Public Health, Shandong Second Medical University, Weifang, China\n\nXialing Sun\n\n2.   School of Management, China University of Mining and Technology, Beijing, China\n\nXialing Sun\n\n3.   School of Economics and Management, Shihezi University, Shihezi, China\n\nPeidong Shi&Zheng Meng\n\n4.   School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing, China\n\nJiaxi Wu\n\nAuthors\n\n1.   Xialing Sun\n2.   Peidong Shi\n3.   Jiaxi Wu\n4.   Zheng Meng\n\n### Corresponding authors\n\nCorrespondence to [Jiaxi Wu](mailto:wujiaxi0427@163.com) or [Zheng Meng](mailto:13671138862@163.com).\n\n## Ethics declarations\n\n### Competing interests\n\nThe authors declare no competing interests.\n\n### Ethical approval\n\nEthical approval was not required as the study did not involve human participants.\n\n### Informed consent\n\nInformed consent was not required as the study did not involve human participants.\n\n## Additional information\n\n**Publisher’s note** Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\n\n## Rights and permissions\n\n**Open Access** This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. 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Verify currency and authenticity via CrossMark](blob:http:\u002F\u002Flocalhost\u002Fdf43c82f6cb6dcd2a87db38f317bf9f2)](https:\u002F\u002Fcrossmark.crossref.org\u002Fdialog\u002F?doi=10.1057\u002Fs41599-026-08656-0)\n\n### Cite this article\n\nSun, X., Shi, P., Wu, J. _et al._ The impact of digital rural construction on nighttime economic vitality. _Humanit Soc Sci Commun_ (2026). https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-08656-0\n\n[Download citation](https:\u002F\u002Fcitation-needed.springer.com\u002Fv2\u002Freferences\u002F10.1057\u002Fs41599-026-08656-0?format=refman&flavour=citation)\n\n*   Received: 26 August 2025\n\n*   Accepted: 31 July 2026\n\n*   Published: 08 August 2026\n\n*   DOI: https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-08656-0","Nature Humanities and Social Sciences Communications 2026-08-08","2026-08-08T00:00:00Z",81,{"impact":19,"substance":18,"depth":17,"authority":127,"freshness":74,"relevant":22,"comment":128},15,"核心期刊论文，研究数字乡村建设对夜间经济的影响，方法严谨，结论新颖，具有较高学术价值。",[130],{"name":123,"url":120},[27,30,132,133],"夜间经济","空间杜宾",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":137},{"candidates":138,"agricultural_evidence":49},[139],{"code":35,"score":67,"supported":49,"title":140,"abstract":141,"tags":142},[],[27],[27],[144,145],"双向固定效应 夜间经济 数字乡村 空间杜宾","双向固定效应 夜间经济","双向固定效应夜间经济数字乡村空间杜宾-466",3,"2026-08-12T23:57:24.275830Z",{"id":150,"title":151,"url":152,"summary":153,"summary_zh":8,"content":154,"source_name":155,"source_url":8,"published_at":8,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":156,"score_detail":157,"sources":159,"tags":161,"primary_topic":166,"secondary_topics":167,"classification":168,"search_phrases":175,"slug":178,"view_count":74,"doi":8,"paper":8,"created_at":179},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)。","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; 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136-143",72,{"impact":19,"substance":18,"depth":19,"authority":48,"freshness":21,"relevant":22,"comment":158},"基于省级面板数据的实证研究，结论可靠，但时效性较差。",[160],{"name":155,"url":152},[27,162,29,163,164,165],"农业经济韧性","30省面板","农业技术创新","云南农业大学学报",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":169},{"candidates":170,"agricultural_evidence":49},[171],{"code":35,"score":48,"supported":49,"title":172,"abstract":173,"tags":174},[27],[27],[27],[176,177],"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","2026-08-09T23:54:49.601668Z",{"id":181,"title":182,"url":183,"summary":184,"summary_zh":8,"content":185,"source_name":186,"source_url":8,"published_at":187,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":188,"score_detail":189,"sources":191,"tags":193,"primary_topic":196,"secondary_topics":197,"classification":204,"search_phrases":224,"slug":227,"view_count":228,"doi":8,"paper":8,"created_at":229},197,"Digital Village Development and Agricultural Carbon Reduction in China: Evidence from Provincial Panel Data(中国数字乡村发展与农业碳减排:来自省级面板数据的证据)","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482","基于2014-2023年中国30个省份平衡面板数据,文章考察了数字乡村发展与农业投入品相关碳排放的关系。研究构建了由8个标准化指标组成的复合数字乡村指数,采用双向固定效应模型进行实证估计。结果显示,在控制经济、财政、技术、监管等多重因素后,数字乡村发展与农业碳排放显著负相关,使用农村电商代理变量和替代性指标检验后结论依然稳健。异质性分析表明,在农村受教育水平较高、中部地区及粮食主产区,负相关关系更强。研究认为数字乡村建设能够支撑农业低碳转型,前提是数字基础设施转化为有效的产业应用、公共服务、人力资本开发和生产组织改善。","## 1. Introduction\n\nClimate change, ecological degradation, and the continued growth of greenhouse gas (GHG) emissions continue to place considerable pressure on global sustainable development. Carbon mitigation is not only an environmental issue but also a strategic development goal for China. The country has announced that before 2030, it will reach peak carbon dioxide emissions, and before 2060, it will become carbon neutral [[1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B1-sustainability-18-07482)]. While emissions from sectors based primarily on CO 2 combustion from fossil fuels are different from agricultural emissions, this means that achieving national climate targets will not be possible without mitigation measures in all parts of the economy, not just in heavy industry, power generation and transport [[2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B2-sustainability-18-07482)]. It is, hence, essential for policies concerning agricultural and rural progress to be incorporated into the holistic framework of climate governance in China.\n\nWhen compared with manufacturing, electricity generation, transportation or construction, agriculture is sometimes considered a relatively low-carbon industry. However, this perception might not consider the significant carbon footprint of today’s food production. The current agricultural system relies on chemical fertilisers, pesticides, plastic mulch, machinery powered by diesel, and irrigation and tillage systems. These inputs and practices are sources of emissions during their manufacture and distribution and also during their use on-farm; they are significant contributors to agricultural carbon emissions [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B3-sustainability-18-07482)]. Fossil energy is also required during irrigation and land management operations, which can also have an impact on the soil carbon cycle and consequently increase the climate change footprint of agriculture [[4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B4-sustainability-18-07482)]. The spatial distribution of agricultural emissions in China is uneven, and high emissions are frequently found in the north. This trend is due to variations in natural resource endowments, crop composition, production technologies, intensities of production inputs, and local policies [[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B5-sustainability-18-07482)]. Earlier empirical studies have also revealed that the performance of emissions varies widely across regions, suggesting that mitigating policies should be flexible and locally tailored instead of managed at the national level [[6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B6-sustainability-18-07482)]. Technological progress and the change of the organisation of agricultural production have been important means of achieving a low-carbon transition in agriculture in this context [[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B7-sustainability-18-07482)].\n\nRural economies are changing in the context of digitalisation all over the world. The collection, transfer, interpretation and utilisation of agricultural information is transforming through big data analysis, Internet of Things (IoT) equipment, mobile communication networks, remote sensing technologies, cloud-based platforms, and digital service systems. Evidence from the international literature shows that data-intensive farming can lead to better resource allocation and a reduction in the waste of resources [[8](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B8-sustainability-18-07482)]. Smart farming systems can help to better manage water, fertilisers, pesticides and machinery [[9](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B9-sustainability-18-07482)]. However, rural digital transformation is not merely the introduction of new equipment into agricultural production. It also transforms agricultural extension, institutions at the local level, market linkages, farmers’ behaviour in managing business, and the linkages among farmers, service providers, firms and consumers [[10](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B10-sustainability-18-07482)].\n\nThe impacts of digital agriculture are quite varied at the national and regional levels. In many high-income countries, sensor-based systems, IoT applications and automated control technologies have been adopted for large-scale commercial farming. In these situations, digital solutions have shown the potential to optimise input usage and create tangible gains in emissions reductions [[11](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B11-sustainability-18-07482)]. On the other hand, there is still a significant gap in agriculture mechanisation, according to data from many low- and middle-income economies. Digitalisation is limited by weak rural infrastructure, fragmented farms, limited financial access and a lack of technical support to achieve environmental gains [[12](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B12-sustainability-18-07482)]. Such disparities reveal that the climatic effects brought by digital farming hinge on plot scale, institutional arrangement, human capital stock and matched service infrastructures. The digital village strategy in China has emerged in an agricultural landscape dominated by smallholders. It is not the “smart-farm” model that has been adopted by many advanced economies, nor is it the more nascent digital agriculture model in many low-income economies. It, thus, serves as a valuable case study to explore the linkages between rural digitalisation and agricultural carbon mitigation in the context of a developing country.\n\nIn China, digital village development is not limited to access to the internet or the construction of hardware. It is a holistic rural transformation approach integrating digital infrastructure, digital industry, public services, financial inclusion, logistics systems and e-governance. According to comparisons among different provinces, it is known that the development of the digital village is still in an imbalanced state in China [[13](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B13-sustainability-18-07482)]. Recent evaluation studies also indicate a close relationship between digital rural development results and rural revitalisation outcomes and governance capacity [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B14-sustainability-18-07482)]. The advancement of the rural digital economy has further facilitated industrial upgrading and the restructuring of local production and organisational patterns [[15](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B15-sustainability-18-07482)]. Digital platforms have made the farmers’ market more accessible, brought agricultural products into circulation faster and have helped rural household income and welfare [[16](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B16-sustainability-18-07482)].\n\nHowever, the environmental implications of digital village development remain insufficiently understood. From a macro perspective, the digital economy promotes green total factor productivity through three channels: knowledge spillover, optimised resource allocation and industrial structure transformation [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B17-sustainability-18-07482)]. In China, internet development has impacted energy consumption in three ways: energy use efficiency, the nature of energy consumption, and industrial transformation [[18](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B18-sustainability-18-07482)]. International evidence also suggests that digitalisation can contribute to energy transition, but the impact is contingent on the quality of local governance and institutional capacity [[19](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B19-sustainability-18-07482)]. Based on the empirical studies conducted in China, energy intensity and emissions may be reduced by digitalisation if the conditions are suitable [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B20-sustainability-18-07482)]. Digitalisation in agriculture has the potential to lower carbon intensity through structural change and technological innovation [[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482)]. Digital village development can also enhance information flow and the land use of cultivated lands, which can help greener land use transformation [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)]. There is recent research evidence that digitalisation in the countryside can enhance the green performance of agricultural production; however, direct evidence on input-related agricultural carbon emissions remains limited [[23](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B23-sustainability-18-07482)].\n\nInternational studies have highlighted the importance of institutional arrangements and rural human capital in determining the potential of turning digital tools into low-carbon farming practices [[24](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B24-sustainability-18-07482),[25](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B25-sustainability-18-07482)]. Many developing economies are confronted with two pressures: on the one hand, rural digitalisation remains underdeveloped, while on the other hand, agricultural production relies on carbon-intensive inputs. The lessons learned from China suggest that digitalisation can contribute to emission reduction and green transition if it is integrated into relevant policy systems, service systems, and production systems; thus, the country is able to offer empirical references for nations confronting similar development challenges [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B20-sustainability-18-07482),[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482),[26](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B26-sustainability-18-07482)].\n\nDespite growing interest in the environmental consequences of digitalisation, several gaps remain. First, much of the existing literature examines the general digital economy, urban digitalisation, or isolated digital–agricultural technologies, while fewer studies focus on digital village development as a multidimensional rural transformation process that integrates infrastructure, industrial applications, public services, digital finance, logistics, and rural e-commerce. Second, agricultural carbon emissions from the input side and the field-operation side have been less directly discussed in many studies, while agricultural green total factor productivity, carbon intensity, and pollution indicators are used as outcome variables. Third, there is scarce evidence regarding the circumstances in which digital village development is more strongly connected to agricultural carbon mitigation, including its relationship to rural education, the region in which it is implemented, grain-functional areas, and mechanisation. Fourth, there is a need for increased transparency in the construction of the composite digital village indicators, including indicator selection, PCA loadings, and the contribution of various digital dimensions.\n\nThe following question guides this study: is digital village development associated with lower agricultural carbon emissions across China? A multidimensional digital village development index is constructed from eight standardised indicators to answer this question. PCA diagnostics and a PCA-based alternative index are further used to examine the validity and sensitivity of the index construction. To estimate the relationship between digital village development and agricultural carbon emissions, this study utilises balanced panel datasets covering 30 provincial regions from 2014 to 2023. Empirical analysis consists of two-way fixed-effects models, multiple robustness tests, heterogeneity analysis, and an additional instrumental-variable exercise (reported in the [Appendix A](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#app1-sustainability-18-07482)) and exploratory subgroup analysis with regard to potential mechanisms.\n\nThis study contributes to the literature in three ways. First, it links digital village development with agricultural climate governance by examining input-related agricultural carbon emissions rather than only rural income, industrial upgrading, or agricultural green total factor productivity. Unlike recent prefecture-level or county-level studies that usually focus on the rural digital economy or agricultural green productivity, this study treats the digital village as a multidimensional policy and development framework and directly examines input-related agricultural carbon emissions. Second, it constructs a multidimensional digital village index from eight standardised indicators and reports additional PCA diagnostics, including component loadings, variance contribution, and the KMO statistic. It also uses a recomputed PCA-based index as a sensitivity check, thereby improving the transparency and reproducibility of index construction. Third, it examines heterogeneous associations across rural education levels, regions, grain-functional areas, and mechanisation conditions and provides mechanism-related evidence based on different agricultural carbon-emission sources.\n\nChina’s digital village strategy has a distinctive institutional context. It has developed in a smallholder-dominated agricultural system but is supported by national rural revitalisation policies, public investment in digital infrastructure, the rapid expansion of rural e-commerce, digital inclusive finance, and logistics networks. This differs from the capital-intensive smart-farming model in many high-income economies and from more fragmented digital–agriculture initiatives in some low-income economies. Therefore, the findings should not be interpreted as mechanically generalisable to all countries. Rather, they provide analytical evidence for developing economies seeking to combine rural digital inclusion, agricultural modernisation, and low-carbon transition under smallholder conditions.\n\nThe remainder of this paper is organised as follows. [Section 2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec2-sustainability-18-07482) reviews the related literature. [Section 3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec3-sustainability-18-07482) develops the theoretical framework and research hypotheses. [Section 4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec4-sustainability-18-07482) describes the data, variables, and empirical models. [Section 5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec5-sustainability-18-07482) presents the empirical results. [Section 6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec6-sustainability-18-07482) discusses the findings. [Section 7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#sec7-sustainability-18-07482) concludes the paper and provides policy implications.\n\n## 2. Literature Review\n\n### 2.1. Digital Village Development and Rural Transformation\n\nDigital village development is a comprehensive process of rural transformation which involves the connectivity of infrastructure, digital industrial activities, service delivery and the modernisation of governance. Digital tools improve agricultural production efficiency through real-time data gathering, remote farm supervision, precision agricultural management and data-driven decision-making [[27](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B27-sustainability-18-07482)]. A special characteristic of digitalisation in the rural areas of China is the fast development of rural e-business, especially the growth of the ‘Taobao villages’ linked to big online platforms [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B28-sustainability-18-07482)]. These new rural economic models are examples of the way that digital marketplaces can connect geographically dispersed producers with national consumer markets and encourage local entrepreneurship [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B28-sustainability-18-07482),[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B29-sustainability-18-07482)]. Advancement in the development of digital villages helps bridge the income gap between urban and rural residents. It enables rural populations to gain easier access to information, employment opportunities, financial services, logistics systems and public service facilities [[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B29-sustainability-18-07482)]. New evidence from the provinces shows that digital village development can also help to foster agricultural green growth [[30](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B30-sustainability-18-07482)].\n\nThe majority of studies published so far agree that digital village development can bring about economic and social benefits and that the impact on the environment is more complex [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B17-sustainability-18-07482),[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B21-sustainability-18-07482),[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)]. Increased digital infrastructure can, on the one hand, lead to a higher electricity demand and a higher use of digital equipment in rural areas. Conversely, there are applications in the fields of precision agriculture, rural logistics, e-commerce and extension that could help to decrease the overuse of agricultural inputs, enhance coordination and lower agricultural carbon emissions [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B22-sustainability-18-07482)].\n\nThe environmental impact overall will hinge on how the implementation of digital infrastructure is followed by productive applications and service innovations that impact decisions in agricultural production. International experiences demonstrate that digitalisation in rural areas can take several forms in different countries. In the high-income context of Western Europe, digital technologies are frequently used in large mechanised agriculture, but their use is still dependent on the social, political and institutional situation in rural communities [[31](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B31-sustainability-18-07482)]. In many of the settings in which digital benefits are explored in developing contexts, these services are also critical, including mobile money, input markets, extension networks, and reliable infrastructure. Smallholder dominance might also constrain the environmental benefits of applications of digital technology, unless service systems can be developed to address scale constraints [[32](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B32-sustainability-18-07482)]. These differences indicate that the size of the farm, institutional conditions and service capacity play a key role in whether or not rural digitalisation can make a positive contribution to carbon reduction.\n\n### 2.2. Agricultural Carbon Emissions: Measurement, Drivers, and Mitigation\n\nIn the agricultural carbon-accounting literature in China, emissions are often estimated based on the inputs and field operations of agricultural production processes [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B3-sustainability-18-07482),[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B5-sustainability-18-07482),[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B7-sustainability-18-07482)]. The use of chemical fertilisers, pesticides and plastic mulch films continues to be a significant source of the carbon footprint of Chinese agriculture [[33](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B33-sustainability-18-07482)]. Other practices such as diesel, irrigation and tillage are also important because they are closely related to energy use and field management. Agricultural emissions of carbon are highly location- and time-dependent and are influenced by land resources, planting systems, mechanisation, environmental policies and input levels [[34](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F14\u002F7482#B34-sustainability-18-07482)].\n\nDigitalisation has increasingly been regarded as a potential pathway for greener agricultural development. Digital technologies offer the potential to better allocate reso","Sustainability 18(14):7482 2026-07-22","2026-07-22T00:00:00Z",74,{"impact":17,"substance":18,"depth":19,"authority":48,"freshness":21,"relevant":22,"comment":190},"基于省级面板数据实证研究数字乡村对农业碳减排的影响，方法严谨，结论具有政策参考价值，但发表于近两周前，时效性较低。",[192],{"name":186,"url":183},[27,194,91,30,195],"农业碳减排","可持续发展",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[198],{"code":199,"slug":200,"name":201,"path":202,"parent_code":203},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"status":42,"locked":14,"version":43,"method":44,"evidence":205},{"candidates":206,"agricultural_evidence":49},[207,212,218],{"code":35,"score":17,"supported":49,"title":208,"abstract":210,"tags":211},[27,209],"digital village",[27],[27],{"code":199,"score":127,"supported":49,"title":213,"abstract":215,"tags":217},[214],"农业碳",[216,214],"碳排放",[194],{"code":219,"score":147,"supported":49,"title":220,"abstract":221,"tags":223},"E5",[],[222],"农村电商",[],[225,226],"双向固定效应 农业碳减排 可持续发展 数字乡村","双向固定效应 农业碳减排","双向固定效应农业碳减排可持续发展数字乡村-197",8,"2026-08-04T01:15:47.389860Z",{"id":231,"title":232,"url":233,"summary":234,"summary_zh":8,"content":235,"source_name":236,"source_url":8,"published_at":237,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":125,"score_detail":238,"sources":241,"tags":243,"primary_topic":247,"secondary_topics":248,"classification":249,"search_phrases":260,"slug":263,"view_count":13,"doi":8,"paper":8,"created_at":264},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 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2026-07-17上网","2026-07-17T00:00:00Z",{"impact":239,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":240},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。",[242],{"name":236,"url":233},[27,244,245,29,246],"共同富裕","县域面板","农业政策",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":250},{"candidates":251,"agricultural_evidence":49},[252,256],{"code":35,"score":48,"supported":49,"title":253,"abstract":254,"tags":255},[27],[27],[27],{"code":54,"score":22,"supported":14,"title":257,"abstract":258,"tags":259},[],[],[244],[261,262],"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",{"id":266,"title":267,"url":268,"summary":269,"summary_zh":270,"content":8,"source_name":271,"source_url":268,"published_at":272,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":273,"score_detail":274,"sources":277,"tags":279,"primary_topic":283,"secondary_topics":284,"classification":285,"search_phrases":309,"slug":312,"view_count":70,"doi":313,"paper":314,"created_at":332},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? 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",80,{"impact":19,"substance":18,"depth":19,"authority":86,"freshness":275,"relevant":22,"comment":276},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。",[278],{"name":271,"url":268},[27,280,244,281,282],"数字素养","农民收入","收入不平等",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":14,"version":43,"method":44,"evidence":286},{"candidates":287,"agricultural_evidence":49},[288,292,299,305],{"code":35,"score":228,"supported":49,"title":289,"abstract":290,"tags":291},[],[27,209],[27,280],{"code":293,"score":74,"supported":49,"title":294,"abstract":295,"tags":298},"G6",[],[296,297],"农户收入","rural income",[],{"code":300,"score":147,"supported":49,"title":301,"abstract":302,"tags":304},"G",[],[303],"rural development",[],{"code":54,"score":22,"supported":14,"title":306,"abstract":307,"tags":308},[],[],[244],[310,311],"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":313,"openalex_id":315,"authors":316,"venue":271,"cited_by_count":70,"oa_url":268,"card":325,"direction":329,"ingested_from":331},"W7223105459",[317,320,323],{"name":318,"orcid":319},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":321,"orcid":322},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":324,"orcid":8},"Fangping Cao",{"tldr":326,"method":327,"finding":328,"direction":329,"opportunity":330},"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。","数字乡村与农业信息化","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"]