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0===o(e,t)}},q=!!b.postMessage,X={postMessage:function(e,t,a){var n=1;t&&(q?a.postMessage(e,t.replace(\u002F([^:]+:\\\u002F\\\u002F[^\\\u002F]+).*\u002F,\"$1\")):t&&(a.location=t.replace(\u002F#.*$\u002F,\"\")+\"#\"+ +new Date+n+++\"&\"+e))},receiveMessage:function(e,t){var a;try{q&&(e&&(a=function(a){if(\"string\"==typeof t&&a.origin!==t||\"[object Function]\"===Object.prototype.toString.call(t)&&!1===","Journal of Rural Studies 2026-08-04","2026-08-04T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":17,"comment":18},1,"正文为验证码页面，无实际内容，无法评估。",[20],{"name":10,"url":6},[22,23,24,25,26,27],"数字乡村","空间溢出","双重差分","乡村现代化","中国证据","Journal of Rural Studies",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":36,"locked":14,"version":37,"method":38,"evidence":39},"classified","2026-10-22.2","rules",{"candidates":40,"agricultural_evidence":43},[41,48,55,62,68],{"code":29,"score":42,"supported":43,"title":44,"abstract":46,"tags":47},12,true,[45],"digital village",[22],[22],{"code":49,"score":50,"supported":43,"title":51,"abstract":52,"tags":54},"I4",4,[],[53],"空间计量",[23],{"code":56,"score":57,"supported":43,"title":58,"abstract":59,"tags":61},"E5",3,[],[60],"农村电商",[],{"code":63,"score":57,"supported":43,"title":64,"abstract":65,"tags":67},"G5",[],[66],"乡村治理",[],{"code":69,"score":57,"supported":43,"title":70,"abstract":71,"tags":73},"G6",[],[72],"城乡融合",[],[75,76],"乡村现代化 中国证据 双重差分 数字乡村","乡村现代化 中国证据","乡村现代化中国证据双重差分数字乡村-247",7,"2026-08-05T23:53:02.437856Z",{"total":81,"page":17,"page_size":81,"items":82},6,[83,144,192,259,304,345],{"id":84,"title":85,"url":86,"summary":87,"summary_zh":8,"content":8,"source_name":88,"source_url":8,"published_at":89,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":90,"score_detail":91,"sources":96,"tags":98,"primary_topic":102,"secondary_topics":103,"classification":104,"search_phrases":129,"slug":132,"view_count":50,"doi":133,"paper":134,"created_at":143},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":92,"substance":93,"depth":92,"authority":94,"freshness":57,"relevant":17,"comment":95},18,22,14,"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。",[97],{"name":88,"url":86},[22,24,99,100,101],"农业技术创新","华中农业大学","国家自然科学基金",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":14,"version":37,"method":38,"evidence":105},{"candidates":106,"agricultural_evidence":43},[107,111,117,123],{"code":29,"score":42,"supported":43,"title":108,"abstract":109,"tags":110},[22],[22],[22],{"code":112,"score":57,"supported":43,"title":113,"abstract":114,"tags":116},"G1",[],[115],"成果转化",[],{"code":118,"score":57,"supported":43,"title":119,"abstract":120,"tags":122},"I1",[],[121],"数字农业",[],{"code":124,"score":57,"supported":43,"title":125,"abstract":126,"tags":128},"J2",[],[127],"农业现代化",[],[130,131],"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","10.13872\u002Fj.1000-0275.2025.1035",{"doi":133,"openalex_id":8,"authors":135,"venue":8,"cited_by_count":15,"oa_url":8,"card":136,"direction":140,"ingested_from":142},[],{"tldr":137,"method":138,"finding":139,"direction":140,"opportunity":141},"基于数字乡村试点数据，实证检验数字乡村建设对农业技术创新的促进作用及机制。","数字乡村试点数据、多维评价指标体系、双重差分模型与机制检验。","数字乡村建设通过要素集聚、效率提升和成果转化显著促进农业技术创新。","数字乡村与农业信息化","可探究数字乡村建设对不同区域、不同农业技术类型创新影响的异质性及空间溢出效应。","agent","2026-10-05T00:04:56.164123Z",{"id":145,"title":146,"url":147,"summary":148,"summary_zh":8,"content":8,"source_name":149,"source_url":8,"published_at":150,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":151,"score_detail":152,"sources":156,"tags":158,"primary_topic":162,"secondary_topics":163,"classification":164,"search_phrases":180,"slug":183,"view_count":78,"doi":8,"paper":184,"created_at":191},3654,"数字乡村建设、农旅融合与农民农村共同富裕","http:\u002F\u002Fxn--vhqr8o5pj9uhezh2nrx2biude8o.com\u002Fqikan_detail.asp?id=13109","巴责达发表于《商业经济研究》2026年第9期。本文基于2012—2023年我国30个省份面板数据，探析数字乡村建设、农旅融合与农民农村共同富裕之间的关系。研究发现：数字乡村建设可显著影响农民农村共同富裕，这一结论在相关稳健性检验中得到验证。中介效应检验显示，数字乡村建设可通过促进农旅融合，间接赋能农民农村共同富裕。异质性分析表明，数字乡村建设对东部地区农民农村共同富裕的驱动作用更强。空间效应检验显示，数字乡村建设对本地区、邻近地区农民农村共同富裕呈现正向空间溢出效应。","商业经济研究 2026年第9期 (巴责达)","2026-09-15T00:00:00Z",74,{"impact":92,"substance":153,"depth":92,"authority":154,"freshness":50,"relevant":17,"comment":155},21,13,"基于30省面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且已发表近两周，时效性一般。",[157],{"name":149,"url":147},[22,23,159,160,161],"共同富裕","农旅融合","省域面板数据",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":14,"version":37,"method":38,"evidence":165},{"candidates":166,"agricultural_evidence":43},[167,171,176],{"code":29,"score":42,"supported":43,"title":168,"abstract":169,"tags":170},[22],[22],[22],{"code":172,"score":17,"supported":14,"title":173,"abstract":174,"tags":175},"G4",[],[],[159],{"code":49,"score":17,"supported":14,"title":177,"abstract":178,"tags":179},[],[],[23],[181,182],"数字乡村 农旅融合 共同富裕","巴责达 商业经济研究","数字乡村农旅融合共同富裕-3654",{"doi":8,"openalex_id":8,"authors":185,"venue":8,"cited_by_count":15,"oa_url":8,"card":186,"direction":140,"ingested_from":142},[],{"tldr":187,"method":188,"finding":189,"direction":140,"opportunity":190},"基于2012—2023年30省面板数据，检验数字乡村建设通过农旅融合促进农民农村共同富裕的效应。","30省面板数据，中介效应、异质性分析与空间溢出检验。","数字乡村建设显著促进共同富裕，农旅融合起中介作用，东部更强且有正向空间溢出。","可深入探究农旅融合的中介机制与空间溢出的衰减边界，并关注中西部数字乡村的差异化路径。","2026-09-28T00:03:02.637755Z",{"id":193,"title":194,"url":195,"summary":196,"summary_zh":197,"content":8,"source_name":198,"source_url":195,"published_at":199,"category":12,"cover_url":8,"hotness":13,"is_selected":43,"score":200,"score_detail":201,"sources":207,"tags":209,"primary_topic":213,"secondary_topics":214,"classification":215,"search_phrases":237,"slug":240,"view_count":57,"doi":241,"paper":242,"created_at":258},3336,"Prosper or beggar thy neighbor? non-farm employment effects and spatial spillovers of China's National Digital Village Pilot Program","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1950504","Introduction Counties are a key spatial unit linking cities and villages in China's rural transformation, yet many still lack the industrial base, market scale, and non-farm job opportunities needed to absorb rural labor. This study examines whether China's National Digital Village Pilot Program expands rural non-farm employment and whether its effects extend beyond pilot counties. Methods Using a panel of 1,450 Chinese counties and 24,111 county-year observations from 2007 to 2024, this study exploits the staggered implementation of the 2020 and 2024 pilot cohorts as a quasi-natural experiment. The policy effect is estimated using a multi-period difference-in-differences model and cross-validated with stacked DID and the Callaway-Sant'Anna estimator. Robustness is further assessed through propensity score matching, inverse probability weighting, entropy balancing, placebo tests, and alternative samples and specifications. Transmission channels, heterogeneity, and spatial effects are also examined. Results The National Digital Village Pilot Program increased rural non-farm employment in pilot counties by approximately 25% relative to non-pilot counties, and the result remains robust across alternative identification and estimation strategies. The two-step transmission-channel analysis provides evidence consistent with two potential channels: enhanced county-level innovation and improved mobile network access capability. The policy effect is significantly stronger in central-region counties than in western counties and stronger in smaller counties than in larger ones, with weaker evidence of a larger effect in counties with lower human capital. Spatial analysis shows a positive direct effect on pilot counties but a negative spillover effect on neighboring counties. Discussion The findings indicate that digital village development can strengthen local non-farm employment absorption, but part of the local gain may reflect a spatial reallocation of economic activity rather than net regional job creation. Effective implementation therefore requires not only county-level digital development but also cross-county resource coordination and regional policy integration.","引言 县域是中国城乡转型中连接城市与乡村的关键空间单元，但许多县域仍缺乏吸纳农村劳动力所需的产业基础、市场规模和非农就业机会。本研究考察中国国家数字乡村试点项目是否扩大了农村非农就业，以及其效应是否超出试点县范围。方法 本研究使用2007年至2024年间1，450个中国县域、24，111个县—年观测值的面板数据，将2020年和2024年试点批次的分批实施作为准自然实验。政策效应采用多期双重差分模型估计，并通过堆叠双重差分和Callaway-Sant'Anna估计量进行交叉验证。稳健性进一步通过倾向得分匹配、逆概率加权、熵平衡、安慰剂检验以及替代样本和设定加以评估。研究还考察了传导渠道、异质性和空间效应。结果 国家数字乡村试点项目使试点县的农村非农就业相对于非试点县增加了约25%，且该结果在替代性识别和估计策略下保持稳健。两步传导渠道分析提供的证据与两个潜在渠道相一致：县域创新能力增强和移动网络接入能力改善。政策效应在中部地区县域显著强于西部地区县域，在较小县域强于较大县域，而在人力资本较低县域效应更大的证据较弱。空间分析显示，政策对试点县具有正向直接效应，但对邻近县域产生负向溢出效应。讨论 研究结果表明，数字乡村发展能够增强本地非农就业吸纳能力，但部分本地收益可能反映的是经济活动的空间再配置，而非区域净就业创造。因此，有效实施不仅需要县域层面的数字发展，还需要跨县域资源协调和区域政策整合。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",89,{"impact":202,"substance":203,"depth":204,"authority":94,"freshness":205,"relevant":17,"comment":206},24,23,19,9,"基于1450个县2007-2024年面板数据的准自然实验研究，证实数字乡村试点使县域非农就业提升约25%，但存在对邻县的负向溢出，对政策协调具有实质参考价值。",[208],{"name":198,"url":195},[22,23,210,211,212],"县域经济","数字乡村试点","非农就业",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":14,"version":37,"method":38,"evidence":216},{"candidates":217,"agricultural_evidence":43},[218,223,229,233],{"code":29,"score":219,"supported":43,"title":220,"abstract":221,"tags":222},16,[45],[22,45],[22,211],{"code":49,"score":78,"supported":43,"title":224,"abstract":225,"tags":228},[],[226,227],"空间分析","spatial analysis",[23],{"code":172,"score":17,"supported":14,"title":230,"abstract":231,"tags":232},[],[],[210],{"code":69,"score":17,"supported":14,"title":234,"abstract":235,"tags":236},[],[],[212],[238,239],"国家数字乡村试点 非农就业","县域 数字乡村 空间溢出","国家数字乡村试点非农就业-3336","10.3389\u002Ffsufs.2026.1950504",{"doi":241,"openalex_id":243,"authors":244,"venue":198,"cited_by_count":15,"oa_url":195,"card":252,"direction":140,"ingested_from":257},"W7214093544",[245,248,250],{"name":246,"orcid":247},"Wei Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0540-5934",{"name":249,"orcid":8},"Lijun Wang",{"name":251,"orcid":8},"Yizhuo Ma",{"tldr":253,"method":254,"finding":255,"direction":140,"opportunity":256},"评估国家数字乡村试点对县域非农就业的影响及空间溢出效应。","2007-2024年1450个县面板数据，多期DID与Callaway-Sant","试点县非农就业增约25%，但邻县出现负向溢出，部分为就业空间再分配。","可探究数字乡村试点的跨县协同机制与负溢出治理，及不同区域差异化政策设计。","openalex","2026-09-24T23:30:07.434384Z",{"id":260,"title":261,"url":262,"summary":263,"summary_zh":8,"content":8,"source_name":264,"source_url":8,"published_at":265,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":266,"score_detail":267,"sources":270,"tags":272,"primary_topic":276,"secondary_topics":277,"classification":278,"search_phrases":292,"slug":295,"view_count":81,"doi":8,"paper":296,"created_at":303},3123,"Turning Data into Sustainability: Agricultural Big Data Policy, Capital Composition, and Rural Eco-Environmental Sustainability in China（数据转化为可持续性：中国农业大数据政策、资本构成与农村生态环境可持续性）","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9478","湖南第一师范学院马克思主义学院 Zhumiao Wang 等联合吉林大学、韩国圆光大学在《Sustainability》18(18): 9478 发表论文（2026-09-16 发表）。农村环境退化是分散的、监测薄弱的、难以治理的，是可持续发展目标（SDGs）最持久的障碍之一。以 2010-2024 年中国 271 个城市面板数据为基础，以 2016 年农业农村大数据政策（ABDP）试点为\"准自然实验\"，采用交错双重差分（DID）设计估计政策对农村生态环境可持续性（RES）的效应。结果显示 ABDP 使 RES 提升 0.0015 个指数点（相当于样本均值 2.91%、分布 6.8 个百分位点）；效应规模取决于政策所面临的资本存量：随农业机械化（AM）上升而下降并在高机械化水平下变得不显著，随数字资本（DC）上升而上升；田间\"做什么\"的资本替代信息，向田间\"传递信息\"的资本补充信息。增益集中在生产—环境维度。","MDPI Sustainability","2026-09-16T00:00:00Z",84,{"impact":93,"substance":203,"depth":92,"authority":154,"freshness":268,"relevant":17,"comment":269},8,"基于271城面板数据的交错DID实证，量化农业大数据政策对农村生态可持续性的效应及资本构成的调节作用，方法规范、结论有政策参考价值。",[271],{"name":264,"url":262},[22,273,274,24,275],"农业大数据","农业政策","农村生态环境",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":14,"version":37,"method":38,"evidence":279},{"candidates":280,"agricultural_evidence":43},[281,285],{"code":29,"score":13,"supported":43,"title":282,"abstract":283,"tags":284},[273],[],[273,22],{"code":286,"score":81,"supported":43,"title":287,"abstract":288,"tags":291},"F5",[],[289,290],"农业机械","机械化",[],[293,294],"农业大数据政策 农村生态环境","Zhumiao Wang 农业大数据","农业大数据政策农村生态环境-3123",{"doi":8,"openalex_id":8,"authors":297,"venue":8,"cited_by_count":15,"oa_url":8,"card":298,"direction":140,"ingested_from":142},[],{"tldr":299,"method":300,"finding":301,"direction":140,"opportunity":302},"以2016年农业大数据政策试点为准自然实验，评估其对中国农村生态环境可持续性的影响。","2010-2024年271个城市面板数据，交错双重差分（DID）设计。","政策使农村生态可持续性提升约2.91%，效应随数字资本上升、随机械化上升而减弱。","可探究数字资本与机械资本的替代\u002F互补机制，及政策效应在非生产维度的异质性。","2026-09-22T00:05:38.376954Z",{"id":305,"title":306,"url":307,"summary":308,"summary_zh":8,"content":309,"source_name":310,"source_url":8,"published_at":311,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":312,"score_detail":313,"sources":316,"tags":318,"primary_topic":324,"secondary_topics":325,"classification":326,"search_phrases":338,"slug":341,"view_count":78,"doi":8,"paper":342,"created_at":344},1002,"Digital villages and agricultural green total factor productivity: Evidence from a quasi-natural experiment in China","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37246876","原文标题: Digital villages and agricultural green total factor productivity。作者: Guo Hui、Wang Xinyi、Xia He、Jiang Wenjie。DOI: 10.3389\u002Ffsufs.2026.1831978。本文采用super-efficiency SBM-DDF-GML模型，运用2014—2023年中国县级面板数据测算AGTFP，并以国家数字乡村试点为准自然实验，运用DID方法评估数字乡村发展对AGTFP的影响、机制与空间溢出效应。研究发现：①数字乡村发展显著提升AGTFP，效应主要源于绿色技术进步而非绿色技术效率改善；②机制上通过优化劳动力配置、激发农业创业活力、扩大消费需求；③异质性上，距省会近、地形起伏度高、路网密度低的地区政策效应更显著；④空间效应以虹吸为主，但绿色技术进步随时间推移呈现溢出迹象。","## Digital villages and agricultural green total factor productivity\n\n## Guo, HuiWang, Xinyi; Xia, He; Jiang, Wenjie\n\nAngol nyelvű Szakcikk (Folyóiratcikk) Tudományos\n\n*   SJR Scopus - Horticulture: D1\n\nEnhancing agricultural green total factor productivity (AGTFP) is essential for advancing high-quality agricultural development. This study employs a super-efficiency SBM-DDF-GML model to calculate AGTFP using county-level panel data from China (2014-2023). Leveraging national digital village pilot (NDVP) programs as a quasi-natural experiment, it further applies a Difference-in-Differences (DID) approach to evaluate the impact, underlying mechanisms, and spatial spillover effects of digital village development on AGTFP. Results indicate that digital village initiatives significantly boost AGTFP. The results remain robust across multiple robustness checks and endogeneity tests, with effects primarily driven by green technological progress rather than green technological efficiency improvements. Mechanism analysis indicates that digital village development enhances AGTFP by promoting optimal labor allocation, stimulating agribusiness entrepreneurship, and expanding consumption. Heterogeneity analysis reveals that the policy effect is more pronounced in areas near provincial capitals, with high terrain undulation, and low road network density. The spatial effect during the sample period is dominated by siphoning, with only green technological progress exhibiting signs of spillover over time. This study provides new empirical evidence on how digital village development drives agricultural green transformation and offers policy implications for optimizing policy design and promoting coordinated regional development.","Frontiers in Sustainable Food Systems 2026, 10, 1831978 · 2026-08-26","2026-08-26T00:00:00Z",80,{"impact":93,"substance":93,"depth":314,"authority":42,"freshness":50,"relevant":17,"comment":315},20,"基于全国县级面板数据与准自然实验，实证数字乡村对农业绿色全要素生产率的影响，方法严谨，结论具有政策参考价值。",[317],{"name":310,"url":307},[22,319,24,320,321,322,323],"AGTFP","县级面板","绿色全要素生产率","DID","Front Sustain Food Syst",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":14,"version":37,"method":38,"evidence":327},{"candidates":328,"agricultural_evidence":43},[329,333],{"code":29,"score":50,"supported":43,"title":330,"abstract":331,"tags":332},[],[22],[22],{"code":334,"score":17,"supported":14,"title":335,"abstract":336,"tags":337},"H4",[],[],[321],[339,340],"绿色全要素生产率 县级面板 双重差分 数字乡村","绿色全要素生产率 县级面板","绿色全要素生产率县级面板双重差分数字乡村-1002",{"doi":8,"openalex_id":8,"authors":343,"venue":8,"cited_by_count":15,"oa_url":8,"card":8,"direction":8,"ingested_from":142},[],"2026-08-27T00:05:20.326038Z",{"id":346,"title":347,"url":348,"summary":349,"summary_zh":8,"content":350,"source_name":351,"source_url":8,"published_at":8,"category":12,"cover_url":8,"hotness":352,"is_selected":14,"score":353,"score_detail":354,"sources":357,"tags":362,"primary_topic":366,"secondary_topics":367,"classification":368,"search_phrases":380,"slug":383,"view_count":78,"doi":8,"paper":8,"created_at":384},338,"数字乡村建设对农村居民收入增长的影响——来自国家数字乡村试点的证据","https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147","余泽田、张世博、吴俣、彭华、董晓霞在《智慧农业(中英文)》2026年第8卷第3期发表文章,基于2014—2023年全国727个县域面板数据,将2020年国家数字乡村试点政策视为准自然实验,构建双重差分模型识别数字乡村建设对农村居民收入增长的影响。研究发现:国家数字乡村试点政策显著促进农村居民收入增长,但未对城乡收入差距产生显著影响;机制分析表明政策主要通过促进劳动力配置调整和提高创业活跃度推动增收,且经济基础、数字金融普惠水平和工业化程度会正向调节增收效应。后续应继续推进数字乡村建设,围绕优化劳动力配置、提升创业活跃度增强政策传导能力,统筹配套条件,强化数字红利普惠共享。DOI: 10.12133\u002Fj.smartag.SA202602009。","欢迎您访问《智慧农业（中英文）》官方网站！[English](https:\u002F\u002Fwww.smartag.net.cn\u002FEN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 1](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 2](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner_mobile.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 3](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fyyzkj.png)](https:\u002F\u002Fpano.bookan.com.cn\u002F?id=60704&cid=352)\n\nToggle navigation[智慧农业](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n*   [网站首页](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n*   [期刊介绍](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn133.shtml)\n*   [编委会](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn153.shtml)\n*   [投稿指南](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn135.shtml)\n*   [期刊服务](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn124.shtml)\n*   [下载中心](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn126.shtml)\n*   [联系我们](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn127.shtml)\n\n[Smart Agriculture](https:\u002F\u002Fwww.smartag.net.cn\u002F) ›› [2026](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026), [Vol. 8](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026) ›› [Issue (3)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fvolumn\u002Fvolumn_841.shtml): 147-158.doi: [10.12133\u002Fj.smartag.SA202602009](https:\u002F\u002Fdoi.org\u002F10.12133\u002Fj.smartag.SA202602009)\n\n• 专刊--数字技术赋能与农业经济范式转型 •[上一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22762.shtml)[下一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22736.shtml)\n\n### 数字乡村建设对农村居民收入增长的影响——来自国家数字乡村试点的证据\n\n余泽田, 张世博, 吴俣, 彭华, 董晓霞([![Image 4](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:dongxiaoxia@caas.cn))\n\n1.   中国农业科学院农业信息研究所，北京 100081，中国\n\n*   `收稿日期:`2026-02-03 `出版日期:`2026-05-30 \n*   `基金项目:`国家重点研发计划项目(2024YFD1700505); 农业农村部政府购买服务项目(08250132) \n*   `作者简介:`. 余泽田，博士研究生，研究方向为农业经济。E-mail：[yu_zetian2024@163.com](mailto:yu_zetian2024@163.com)； 张世博，硕士研究生，研究方向为农业经济。E-mail：[15524007001@163.com](mailto:15524007001@163.com) 余泽田、张世博为并列第一作者 \n*   `通信作者:`董晓霞，博士，研究员，研究方向为农业经济。E-mail：[dongxiaoxia@caas.cn](mailto:dongxiaoxia@caas.cn) \n\n### The Impact of Digital Rural Development on Rural Residents' Income Growth: Evidence from the National Digital Rural Pilot Program\n\nYU Zetian, ZHANG Shibo, WU Yu, PENG Hua, DONG Xiaoxia([![Image 5](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:dongxiaoxia@caas.cn))\n\n1.   Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China\n\n*   `Received:`2026-02-03 `Online:`2026-05-30 \n*   `Foundation items:`National Key Research and Development Program of China(2024YFD1700505); Government Procurement Service Project of the Ministry of Agriculture and Rural Affairs(08250132) \n*   `About author:`YU Zetian, E-mail: [yu_zetian2024@163.com](mailto:yu_zetian2024@163.com); ZHANG Shibo, E-mail:[15524007001@163.com](mailto:15524007001@163.com) \n*   `Corresponding author:`DONG Xiaoxia, E-mail: [dongxiaoxia@caas.cn](mailto:dongxiaoxia@caas.cn) \n\n## [在线阅读 4](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n## [知网下载](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n## [本地下载 24](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#1)\n\n[_![Image 6](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002Fimages\u002Fknowledge\\_map1.png)_ ## 可视化 0](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002Flexeme\u002FshowArticleByLexeme.do?articleID=22765)\n\n#### [摘要\u002FAbstract](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n**摘要：**\n\n**【目的\u002F意义】** 为识别数字乡村建设是否能够促进农村居民增收，并厘清其作用机制，以国家数字乡村试点政策为准自然实验，系统考察数字乡村建设对农村居民收入增长的影响。研究有助于为科学评估数字乡村政策成效、优化农民增收路径提供经验证据。 **【方法】** 基于2014—2023年全国727个县域面板数据，将2020年国家数字乡村试点政策视为准自然实验，构建双重差分模型识别数字乡村建设对农村居民收入增长的影响，并通过平行趋势检验、安慰剂检验、PSM-DID等方法进行稳健性检验，进一步结合机制检验和调节效应模型分析其作用路径。 **【结果和讨论】** 国家数字乡村试点政策显著促进了农村居民收入增长，但未对城乡收入差距产生显著影响。机制分析表明，政策主要通过促进劳动力配置调整和提高创业活跃度推动农村居民增收，且经济基础、数字金融普惠水平和工业化程度会正向调节增收效应。 **【结论】** 数字乡村建设是提升农村居民收入的有效路径，后续应持续推进，并围绕优化劳动力配置、提升创业活跃度增强政策传导能力，统筹配套条件，强化数字红利普惠共享。\n\n**关键词:**[数字乡村,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[农村居民增收,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[城乡包容性增长,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[双重差分模型,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[调节效应模型,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[数字技术](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n**Abstract:**\n\n**[Objective]** Digital rural construction has become an important strategy for promoting rural revitalization and breaking the long-standing urban-rural dual structure in China. Under the goals of common prosperity and agricultural modernization, sustained income growth for rural residents is a key policy concern. Existing studies have explored the economic effects of digital rural development, but several gaps remain. Most research focuses on a single outcome rather than jointly considering income growth and broader inclusive development. Many studies also rely on composite indices that may be endogenous to local conditions. In addition, the channels through which digital rural policies affect rural income have not been fully clarified. To address these issues, the National Digital Rural Pilot Policy was used as a quasi-natural experiment in this research to examine whether digital rural construction raises rural residents' income, the transmission mechanisms of this effect and its effect on the urban-rural income gap. **[Methods]** Using the county-level panel data for 727 counties in China from 2014 to 2023, the 2020 launch of the National Digital Rural Pilot Policy was treated as a quasi-natural experiment, and a difference-in-differences model was applied to identify the policy's effect on rural residents' per capita disposable income.The analysis controlled for economic foundation, fiscal expenditure, financial development, population density, savings level, industrialization, service-sector development, and education. To test robustness, parallel trend tests, placebo tests, the exclusion of special samples, controls for other concurrent policies, and propensity score matching combined with DID estimation were conducted. Mechanism tests were used to examine whether the policy works through labor allocation optimization and enhanced entrepreneurial activity, while moderating effect models assessed whether county economic foundation, digital financial inclusion, and industrialization strengthen the income-enhancing effect. **[Results and Discussions]** The results showed that the National Digital Rural Pilot Policy significantly increased rural residents' income. After county and year fixed effects as well as other relevant factors were controlled for, the policy led to a significant increase in rural per capita disposable income, and this finding remained robust across a series of tests. Dynamic analysis showed no significant difference in pre-policy trends between pilot and non-pilot counties, while the positive effect emerged after policy implementation and strengthened over time, indicating a sustained and cumulative policy impact. Mechanism analysis identified two main channels through which the policy promoted income growth. First, digital rural construction improved labor allocation by fostering new forms of rural economic activity, such as digital agriculture and rural e-commerce, reducing labor market frictions, and improving the matching efficiency between labor and employment opportunities. Second, it enhanced entrepreneurial activity by lowering market entry and operating costs, increasing the vitality of agriculture-related business entities, and creating more opportunities for local business development and income generation. The income-enhancing effect was more pronounced in counties with a stronger economic foundation, higher levels of digital financial inclusion, and greater industrialization. However, although the policy significantly increased rural residents' income, it did not significantly reduce the urban-rural income gap, suggesting that absolute income growth did not necessarily lead to relative distributional convergence. **[Conclusions]** Digital rural construction is an effective pathway for increasing rural residents' income in China. By exploiting the National Digital Rural Pilot Policy as a quasi-natural experiment, this study provides more credible evidence on the income effects of digital rural development and clarifies its main transmission mechanisms. Future policy efforts should continue to advance digital rural construction while focusing on improving labor allocation, enhancing entrepreneurial activity, and strengthening county-level supporting conditions. Greater attention should also be paid to digitally disadvantaged areas and vulnerable rural groups in order to promote the inclusive sharing of digital dividends and foster more balanced urban-rural development.\n\n**Key words:**[digital rural construction,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[rural residents' income growth,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[urban-rural inclusive growth,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[difference-in-differences model,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[moderating?effect model,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)[digital technology](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n**中图分类号:**\n\n*   [F320.3](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#)\n\n#### 引用本文\n\n余泽田, 张世博, 吴俣, 彭华, 董晓霞. 数字乡村建设对农村居民收入增长的影响——来自国家数字乡村试点的证据[J]. 智慧农业(中英文), 2026, 8(3): 147-158.\n\nYU Zetian, ZHANG Shibo, WU Yu, PENG Hua, DONG Xiaoxia. The Impact of Digital Rural Development on Rural Residents' Income Growth: Evidence from the National Digital Rural Pilot Program[J]. Smart Agriculture, 2026, 8(3): 147-158.\n\n#### 使用本文\n\n**[[收藏文章](javascript:;)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#) \u002F[推荐](javascript:void(null))**\n**导出引用管理器**[EndNote](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=EndNote&id=22765)|[Ris](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=Ris&id=22765)|[BibTeX](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=BibTeX&id=22765)\n\n**链接本文:**[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602009](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602009)\n\n[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n\n#### [图\u002F表 12](javascript:;)\n\n[![Image 7](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14977)\n\n**表1**\n\n数字乡村增收效应研究主要变量的描述性统计结果\n\n| 变量 | 说明 | 样本量 | 均值 | 标准差 | 最小值 | 最大值 |\n| :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n| 农村居民收入 | 农村居民人均可支配收入\u002F万元 | 7 270 | 1.288 | 0.515 | 0.510 | 3.562 |\n| 数字乡村试点政策 | 见2.2节 | 7 270 | 0.018 | 0.134 | 0.000 | 1.000 |\n| 经济基础 | 县区人均GDP\u002F万元 | 7 270 | 3.497 | 2.336 | 0.802 | 17.218 |\n| 财政水平 | 人均地方财政一般预算支出\u002F万元 | 7 270 | 0.206 | 0.192 | 0.031 | 1.746 |\n| 金融水平 | 人均年末金融机构各项贷款余额\u002F万元 | 7 270 | 2.546 | 1.985 | 0.352 | 21.043 |\n| 人口规模 | 年末总人口\u002F行政区域总面积\u002F（万人\u002Fkm 2） | 7 270 | 0.031 | 0.033 | 0.000 | 0.425 |\n| 储蓄水平 | 人均城乡居民储蓄存款余额\u002F万元 | 7 270 | 2.655 | 1.297 | 0.340 | 11.250 |\n| 工业化程度 | 第二产业增加值\u002FGDP | 7 270 | 0.387 | 0.153 | 0.058 | 0.772 |\n| 服务化程度 | 第三产业增加值\u002FGDP | 7 270 | 0.430 | 0.108 | 0.164 | 0.838 |\n| 教育水平 | 普通中学在校学生数\u002F年末总人口 | 7 270 | 0.058 | 0.017 | 0.011 | 0.104 |\n\n 表1 \n\n[![Image 8](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14978)\n\n**表2**\n\n数字乡村试点对农村居民收入影响的基准回归结果\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| （1） | （2） | （3） |\n| 数字乡村试点 | 0.477*** | （0.022） | 0.052*** | （0.019） | 0.049*** | （0.019） |\n| 经济基础 |  |  |  |  | -0.059*** | （0.017） |\n| 财政水平 |  |  |  |  | -0.143*** | （0.039） |\n| 金融水平 |  |  |  |  | 0.091*** | （0.020） |\n| 人口规模 |  |  |  |  | 1.136 | （0.710） |\n| 储蓄水平 |  |  |  |  | -0.144*** | （0.030） |\n| 工业化程度 |  |  |  |  | 0.090 | （0.074） |\n| 服务化程度 |  |  |  |  | 0.185** | （0.086） |\n| 教育水平 |  |  |  |  | 0.412* | （0.224） |\n| 年份固定效应 |  |  | 已控制 |  | 已控制 |  |\n| 县区固定效应 |  |  | 已控制 |  | 已控制 |  |\n| 常数项 | 1.279*** | （0.016） | 0.918*** | （0.004） | 0.930*** | （0.072） |\n| 样本量 | 7 270 |  | 7 270 |  | 7 270 |  |\n| _R_ 2 | 0.037 |  | 0.915 |  | 0.921 |  |\n\n 表2 \n\n[![Image 9](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002Fthumbnail\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F001.jpg)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#figureClass14979)\n\n**图1**\n\n农民收入平行趋势检验结果 注：以2019年为基准期，在95%的置信区间下绘制。\n\n![Image 10](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F001.jpg)\n\n 图1 \n\n[![Image 11](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002Fthumbnail\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F002.jpg)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#figureClass14980)\n\n**图2**\n\n效应基准回归的伪政策年份安慰剂检验结果\n\n![Image 12](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F002.jpg)\n\n 图2 \n\n[![Image 13](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002Fthumbnail\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F003.jpg)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#figureClass14981)\n\n**图3**\n\n基准回归的随机置换安慰剂检验结果\n\n![Image 14](https:\u002F\u002Fwww.smartag.net.cn\u002Ffileup\u002F2096-8094\u002FFIGURE\u002F2026-8-3\u002FImages\u002F2096-8094-2026-8-3-147\u002FC46A5376-C865-4676-8D6A-6D5BDC96B1D2-F003.jpg)\n\n 图3 \n\n[![Image 15](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14982)\n\n**表3**\n\n基准回归的稳健性检验：剔除特殊样本\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| 数字乡村试点 | 0.471*** | 0.052** | 0.053** |\n|  | （0.026） | （0.023） | （0.022） |\n| 控制变量 |  |  | 已控制 |\n| 时间固定效应 |  | 已控制 | 已控制 |\n| 县区固定效应 |  | 已控制 | 已控制 |\n| 样本量 | 6 640 | 6 640 | 6 640 |\n| _R_ 2 | 0.034 | 0.913 | 0.920 |\n\n 表3 \n\n[![Image 16](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14983)\n\n**表4**\n\n基准回归的稳健性检验：排除其他政策干扰\n\n| 变量 | 是否是信息进村入户工程试点 | 是否是革命老区县 | 是否为少数民族自治县 |\n| :---: | :---: | :---: | :---: |\n| 数字乡村试点 | 0.048*** | 0.049*** | 0.049*** |\n|  | （0.019） | （0.019） | （0.019） |\n| 控制变量 | 已控制 | 已控制 | 已控制 |\n| 时间固定效应 | 已控制 | 已控制 | 已控制 |\n| 县区固定效应 | 已控制 | 已控制 | 已控制 |\n| 样本量 | 7 270 | 7 270 | 7 270 |\n| _R_ 2 | 0.921 | 0.921 | 0.921 |\n\n 表4 \n\n[![Image 17](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14984)\n\n**表5**\n\n基准回归的稳健性检验：更换回归模型\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| 数字乡村试点 | 0.049*** |\n|  | （0.019） |\n| 控制变量 | 已控制 |\n| 时间固定效应 | 已控制 |\n| 县区固定效应 | 已控制 |\n\n 表5 \n\n[![Image 18](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14985)\n\n**表6**\n\n数字乡村试点对农村居民收入影响的异质性检验结果\n\n| 变量 | 数字基础 | 经济基础 | 地理区域 | 地形起伏度 |\n| :---: | :---: | :---: | :---: | :---: |\n| 数字乡村试点 | 0.002 | -0.030* | 0.095*** | 0.078** |\n|  | （0.023） | （0.018） | （0.031） | （0.034） |\n| 数字乡村试点*数字基础 | 0.077** |  |  |  |\n|  | （0.032） |  |  |  |\n| 数字乡村试点*经济基础 |  | 0.096*** |  |  |\n|  |  | （0.026） |  |  |\n| 数字乡村试点*地理区域（以东部为基准） |  |  |  |  |\n| 中部 |  |  | -0.073 |  |\n|  |  |  | （0.047） |  |\n| 西部 |  |  | -0.049 |  |\n|  |  |  | （0.038） |  |\n| 数字乡村试点*地形起伏度 |  |  |  | -0.048 |\n|  |  |  |  | （0.039） |\n| 控制变量 | 已控制 | 已控制 | 已控制 | 已控制 |\n| 时间固定效应 | 已控制 | 已控制 | 已控制 | 已控制 |\n| 县区固定效应 | 已控制 | 已控制 | 已控制 | 已控制 |\n| 样本量 | 7 270 | 7 270 | 7 270 | 7 270 |\n| _R_ 2 | 0.921 | 0.921 | 0.921 | 0.921 |\n\n 表6 \n\n[![Image 19](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14986)\n\n**表7**\n\n数字乡村试点影响农村居民收入的中介机制检验结果\n\n| 变量 | 劳动力配置 | 创业活跃度 |\n| :---: | :---: | :---: |\n| 数字试点政策 | 0.033** | 7.848* |\n|  | （0.014） | （4.664） |\n| 控制变量 | 已控制 | 已控制 |\n| 时间固定效应 | 已控制 | 已控制 |\n| 县区固定效应 | 已控制 | 已控制 |\n| 样本量 | 2 420 | 6 910 |\n| _R_ 2 | 0.220 | 0.216 |\n\n 表7 \n\n[![Image 20](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14987)\n\n**表8**\n\n数字乡村试点影响农村居民收入的调节效应检验结果\n\n| 变量 | 农村居民收入 |\n| :---: | :---: |\n| 数字乡村试点政策 | -0.275*** | （0.042） | -1.088*** | （0.225） | -0.062** | （0.026） |\n| GDP | -0.062*** | （0.017） |  |  |  |  |\n| 数字乡村试点政策*GDP | 0.193*** | （0.027） |  |  |  |  |\n| 北大数字金融普惠指数 |  |  | -0.004*** | （0.000） |  |  |\n| 数字乡村试点政策*北大数字金融普惠指数 |  |  | 0.010*** | （0.002） |  |  |\n| 工业化水平 |  |  |  |  | 0.075 | （0.074） |\n| 数字乡村试点政策*工业化水平 |  |  |  |  | 0.280*** | （0.069） |\n| 控制变量 | 已控制 |  | 已控制 |  | 已控制 |  |\n| 时间固定效应 | 已控制 |  | 已控制 |  | 已控制 |  |\n| 县区固定效应 | 已控制 |  | 已控制 |  | 已控制 |  |\n| 样本量 | 7 270 |  | 6 967 |  | 7 270 |  |\n| _R_ 2 | 0.922 |  | 0.927 |  | 0.921 |  |\n\n 表8 \n\n[![Image 21](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Ftable-icon.gif)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147#inline_content14988)\n\n**表9**\n\n进一步分析：对城乡包容性增长的影响\n\n| 变量 | 城乡收入差距 |\n| :---: | :---: |\n| 数字试点政策 | 0.041 |\n|  | （0.033） |\n| 控制变量 | 已控制 |\n| 时间固定效应 | 已控制 |\n| 县区固定效应 | 已控制 |\n| 样本量 | 7 270 |\n| _R_ 2 | 0.417 |\n\n 表9 \n\n[](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F147)\n#### [参考文献 31](javascript:;)\n\n[1]穆克瑞. 新发展阶段城乡融合发展的主要障碍及突破方向[J]. 行政管理改革, 2021(1): 79-85.\nMU K R. 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