[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3446":3,"related-3446":71},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":55,"slug":58,"view_count":59,"doi":8,"paper":60,"created_at":70},3446,"《数字技术赋能下银保互联提升农户家庭经营收入了吗——来自浙江省的微观证据》","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F171577.html","张晋华、陈爽羽、谢文彬、贾伟基于浙江省辖内县（市）级的农户微观调研数据，系统评估数字技术赋能下银保互联对农户家庭经营收入的影响及其作用机制。研究发现：数字技术赋能下的银保互联显著提升了农户家庭经营收入；机制上通过'数据增信'缓解信贷配给和通过'数据风控'优化风险配给两条路径起作用；异质性检验发现农户的数字素养可显著强化增收效应，揭示数字红利存在'能力门槛'，在小规模、低资本投入农户群体中表现出更强的'补短板'特征。",null,"《金融监管研究》2026年第3期","2026-09-20T00:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,6,1,"基于浙江农户微观调研的实证研究，揭示数字技术赋能银保互联通过数据增信与数据风控促进农户增收的机制，对农村数字普惠金融有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","数字素养","农村金融","银保互联","农户增收",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"unclassified","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":53,"reason":54},[37,43,48],{"code":38,"score":39,"supported":13,"title":40,"abstract":41,"tags":42},"I6",2,[],[],[25,26],{"code":44,"score":20,"supported":13,"title":45,"abstract":46,"tags":47},"G3",[],[],[27],{"code":49,"score":20,"supported":13,"title":50,"abstract":51,"tags":52},"G6",[],[],[29],true,"缺少足够的主题证据",[56,57],"浙江 银保互联 农户收入","数字技术赋能 农村金融","浙江银保互联农户收入-3446",4,{"doi":8,"openalex_id":8,"authors":61,"venue":8,"cited_by_count":62,"oa_url":8,"card":63,"direction":67,"ingested_from":69},[],0,{"tldr":64,"method":65,"finding":66,"direction":67,"opportunity":68},"基于浙江农户调研数据，评估数字技术赋能下银保互联对农户家庭经营收入的增收效应。","浙江县市级农户微观调研数据，实证评估银保互联的收入效应与机制。","银保互联显著增收，通过数据增信与数据风控起作用，数字素养存在能力门槛。","数字乡村与农业信息化","可探究数字素养门槛的干预机制及银保互联在欠发达地区的适配性与长期效果。","agent","2026-09-25T00:09:34.575538Z",{"total":19,"page":20,"page_size":19,"items":72},[73,118,166,228,295,358],{"id":74,"title":75,"url":76,"summary":77,"summary_zh":8,"content":8,"source_name":78,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":79,"score_detail":80,"sources":82,"tags":84,"primary_topic":87,"secondary_topics":92,"classification":93,"search_phrases":106,"slug":109,"view_count":39,"doi":8,"paper":110,"created_at":117},4962,"公共数据开放、劳动力流转与农户减贫增收","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F180148.html","莫馥宁(西南财经大学中国西部经济研究院;广西农商联合银行博士后科研工作站)在《财经科学》2026年第3期发表的研究以地方政府上线公共数据开放平台为准自然实验,考察其对农户减贫增收的影响。研究发现,公共数据开放显著提升农户收入,降低贫困发生率和贫困程度;机制分析表明,劳动力流转是核心路径,通过破解信息不对称、降低生产与就业风险、消除返乡顾虑,引导劳动力回流本地,实现经营性与工资性收入双增。异质性显示,数字素养高、创业意愿强、储蓄水平高的农户更明显受益。","《财经科学》2026年第3期",74,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":39,"relevant":20,"comment":81},"核心期刊实证研究，机制与异质性分析扎实，对数字乡村与数据要素惠农政策有参考价值，但发表时间较早、时效性偏弱。",[83],{"name":78,"url":76},[25,26,29,85,86],"公共数据开放","劳动力流转",{"code":49,"slug":88,"name":89,"path":90,"parent_code":91},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":94,"locked":13,"version":33,"method":34,"evidence":95},"classified",{"candidates":96,"agricultural_evidence":53},[97,102],{"code":49,"score":59,"supported":53,"title":98,"abstract":99,"tags":101},[],[100],"农户收入",[29],{"code":38,"score":39,"supported":13,"title":103,"abstract":104,"tags":105},[],[],[25,26],[107,108],"公共数据开放 农户减贫增收","西南财经大学 劳动力流转","公共数据开放农户减贫增收-4962",{"doi":8,"openalex_id":8,"authors":111,"venue":8,"cited_by_count":62,"oa_url":8,"card":112,"direction":67,"ingested_from":69},[],{"tldr":113,"method":114,"finding":115,"direction":67,"opportunity":116},"以公共数据开放平台上线为准自然实验，检验其对农户减贫增收的影响。","准自然实验，地方政府公共数据开放平台上线，农户收入与贫困数据。","公共数据开放显著提升农户收入、降低贫困，劳动力流转是核心机制。","可探究公共数据开放与农业物联网数据协同对农户增收的异质性作用。","2026-10-15T00:06:08.286860Z",{"id":119,"title":120,"url":121,"summary":122,"summary_zh":8,"content":8,"source_name":123,"source_url":8,"published_at":124,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":125,"score_detail":126,"sources":131,"tags":133,"primary_topic":135,"secondary_topics":136,"classification":137,"search_phrases":154,"slug":157,"view_count":62,"doi":8,"paper":158,"created_at":165},4474,"数字能力提升农户收入并缩小农村差距：基于中国农村振兴调查的证据","https:\u002F\u002Fagritechinsights.com\u002Findex.php\u002F2026\u002F10\u002F08\u002Fdigital-skills-lift-chinas-farm-incomes-narrow-rural-gaps","江西工程学院经济与管理学院Ting Hua团队在Frontiers in Sustainable Food Systems发表论文，基于中国农村振兴调查（CRRS）数据，分析数字能力如何影响农户家庭收入和收入分配；研究发现更高的数字能力与更高的人均收入和更低的收入差距相关，特别是在非贫困家庭中；提出两条路径：数字网络扩展家庭社会联系可能带来就业机会或伙伴关系；数字平台接入可能缓解信贷约束，使农民投资于更好的工具或实现收入多样化；指出数字红利分配不均，需针对性支持。","Frontiers in Sustainable Food Systems 2026-10-08","2026-10-08T00:00:00Z",79,{"impact":16,"substance":127,"depth":128,"authority":129,"freshness":12,"relevant":20,"comment":130},21,17,13,"基于全国性CRRS调查数据的实证研究，揭示数字能力增收与缩小差距的双重效应及信贷约束缓解路径，对数字乡村政策有参考价值。",[132],{"name":123,"url":121},[25,26,27,134,100],"数字鸿沟",{"code":49,"slug":88,"name":89,"path":90,"parent_code":91},[],{"status":94,"locked":13,"version":33,"method":34,"evidence":138},{"candidates":139,"agricultural_evidence":53},[140,145,150],{"code":49,"score":141,"supported":53,"title":142,"abstract":143,"tags":144},9,[100],[],[100],{"code":38,"score":146,"supported":13,"title":147,"abstract":148,"tags":149},3,[],[],[25,26,134],{"code":44,"score":20,"supported":13,"title":151,"abstract":152,"tags":153},[],[],[27],[155,156],"江西工程学院 数字能力 农户收入","CRRS 数字能力 收入差距","江西工程学院数字能力农户收入-4474",{"doi":8,"openalex_id":8,"authors":159,"venue":8,"cited_by_count":62,"oa_url":8,"card":160,"direction":67,"ingested_from":69},[],{"tldr":161,"method":162,"finding":163,"direction":67,"opportunity":164},"基于中国农村振兴调查，研究数字能力对农户收入及收入差距的影响。","使用中国农村振兴调查（CRRS）数据，分析数字能力与农户收入及分配的关系。","数字能力提升人均收入并缩小收入差距，尤其在非贫困家庭中，但数字红利分配不均。","可探究数字能力对贫困家庭的异质性影响及缩小数字鸿沟的干预机制。","2026-10-09T00:05:02.226945Z",{"id":167,"title":168,"url":169,"summary":170,"summary_zh":171,"content":8,"source_name":172,"source_url":169,"published_at":173,"category":11,"cover_url":8,"hotness":174,"is_selected":13,"score":175,"score_detail":176,"sources":178,"tags":183,"primary_topic":185,"secondary_topics":186,"classification":187,"search_phrases":208,"slug":211,"view_count":19,"doi":212,"paper":213,"created_at":227},4412,"Digital capability, household income, and intra-rural income inequality: micro-level evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938273","Drawing on data from the China Rural Revitalization Survey (CRRS), this study combines ordinary least squares regression, propensity score matching, and mediation analysis to examine the relationships among digital capability, farm household per capita gross income, and income inequality. Greater digital capability is significantly associated with higher per capita gross income and lower income inequality. Mediation analysis suggests that two potential pathways may underlie these relationships: broader social networks and the alleviation of credit constraints. Heterogeneity analysis shows that the relationships between digital capability and farm household welfare vary across household groups and income sources. Specifically, among nonpoor farm households, digital capability is significantly and positively associated with per capita gross income and significantly and negatively associated with income inequality. Neither relationship is statistically significant among relatively poor farm households. Across income sources, digital capability is positively associated with wage income and nonfarm business income and negatively associated with inequality in the distribution of both income components. No statistically significant associations are found for agricultural operating income, property income, or transfer income. Policy should account for differences in households’ initial resource endowments and provide targeted digital support to disadvantaged groups. Policy efforts should also expand digital applications in agriculture and foster an inclusive environment for nonfarm employment and entrepreneurship.","本研究基于中国乡村振兴调查（CRRS）数据，综合运用普通最小二乘法回归、倾向得分匹配和中介分析，考察数字能力、农户人均总收入与收入不平等之间的关系。数字能力越强，人均总收入显著越高，收入不平等显著越低。中介分析表明，可能存在两条潜在路径：社会网络拓展与信贷约束缓解。异质性分析显示，数字能力与农户福利之间的关系因农户群体和收入来源而异。具体而言，在非贫困农户中，数字能力与人均总收入显著正相关，与收入不平等显著负相关；而在相对贫困农户中，二者均不具有统计显著性。从收入来源看，数字能力与工资性收入和非农经营收入正相关，与这两类收入分布的不平等负相关；对农业经营收入、财产性收入和转移性收入则未发现统计显著关联。政策应充分考虑农户初始资源禀赋差异，为弱势群体提供有针对性的数字支持，同时应拓展数字技术在农业中的应用，并营造包容性的非农就业与创业环境。","Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z",25,80,{"impact":16,"substance":17,"depth":16,"authority":129,"freshness":141,"relevant":20,"comment":177},"基于全国性微观调查数据，方法规范、结论对数字乡村政策的精准施策有参考价值，值得进入每日精选。",[179,180],{"name":172,"url":169},{"name":181,"url":182},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Agricultural and Food Economics","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1938273\u002Ffull",[25,26,27,100,184],"收入差距",{"code":49,"slug":88,"name":89,"path":90,"parent_code":91},[],{"status":94,"locked":13,"version":33,"method":34,"evidence":188},{"candidates":189,"agricultural_evidence":53},[190,195,200,204],{"code":49,"score":141,"supported":53,"title":191,"abstract":193,"tags":194},[192],"rural income",[],[100],{"code":91,"score":146,"supported":53,"title":196,"abstract":197,"tags":199},[],[198],"乡村振兴",[],{"code":38,"score":39,"supported":13,"title":201,"abstract":202,"tags":203},[],[],[25,26],{"code":44,"score":20,"supported":13,"title":205,"abstract":206,"tags":207},[],[],[27],[209,210],"中国乡村振兴调查 CRRS 数字能力","数字能力 农户收入 收入不平等","中国乡村振兴调查CRRS数字能力-4412","10.3389\u002Ffsufs.2026.1938273",{"doi":212,"openalex_id":214,"authors":215,"venue":172,"cited_by_count":62,"oa_url":220,"card":221,"direction":67,"ingested_from":226},"W7220848045",[216,218],{"name":217,"orcid":8},"Ting Hua",{"name":219,"orcid":8},"Hua Lu","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1938273\u002Fpdf",{"tldr":222,"method":223,"finding":224,"direction":67,"opportunity":225},"基于中国乡村振兴调查数据，分析数字能力对农户收入及村内收入不平等的影响。","OLS回归、倾向得分匹配与中介分析，使用CRRS微观农户数据。","数字能力提升收入并降低不平等，通过社交网络和缓解信贷约束起作用，对相对贫困户不显著。","可探究数字能力对相对贫困户失效的机制，以及农业经营收入未受益的数字化障碍。","openalex","2026-10-08T23:30:07.382591Z",{"id":229,"title":230,"url":231,"summary":232,"summary_zh":233,"content":8,"source_name":234,"source_url":231,"published_at":235,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":175,"score_detail":236,"sources":238,"tags":240,"primary_topic":244,"secondary_topics":249,"classification":250,"search_phrases":273,"slug":276,"view_count":62,"doi":277,"paper":278,"created_at":294},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",{"impact":16,"substance":17,"depth":16,"authority":129,"freshness":141,"relevant":20,"comment":237},"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。",[239],{"name":234,"url":231},[25,26,241,242,243],"共同富裕","农民收入","收入不平等",{"code":38,"slug":245,"name":246,"path":247,"parent_code":248},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":94,"locked":13,"version":33,"method":34,"evidence":251},{"candidates":252,"agricultural_evidence":53},[253,259,263,268],{"code":38,"score":254,"supported":53,"title":255,"abstract":256,"tags":258},8,[],[25,257],"digital village",[25,26],{"code":49,"score":19,"supported":53,"title":260,"abstract":261,"tags":262},[],[100,192],[],{"code":91,"score":146,"supported":53,"title":264,"abstract":265,"tags":267},[],[266],"rural development",[],{"code":269,"score":20,"supported":13,"title":270,"abstract":271,"tags":272},"G4",[],[],[241],[274,275],"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":277,"openalex_id":279,"authors":280,"venue":234,"cited_by_count":62,"oa_url":231,"card":289,"direction":67,"ingested_from":226},"W7223105459",[281,284,287],{"name":282,"orcid":283},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":285,"orcid":286},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":288,"orcid":8},"Fangping Cao",{"tldr":290,"method":291,"finding":292,"direction":67,"opportunity":293},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","2026-10-22T11:20:47.675827Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":8,"content":300,"source_name":301,"source_url":8,"published_at":302,"category":303,"cover_url":8,"hotness":12,"is_selected":13,"score":304,"score_detail":305,"sources":307,"tags":309,"primary_topic":8,"secondary_topics":313,"classification":314,"search_phrases":353,"slug":356,"view_count":62,"doi":8,"paper":8,"created_at":357},5252,"山东印发《关于大力发展智慧农业的实施意见》鲁政办字〔2026〕85号","http:\u002F\u002Fwww.daiyue.gov.cn\u002Fart\u002F2026\u002F10\u002F14\u002Fart_255813_10401578.html","山东省政府办公厅10月14日印发85号文,提出到2030年粮油作物水肥一体化应用面积达2000万亩、加力推进优势产业智慧转型、智慧赋能设施农业改造升级、智慧赋能畜牧业节本增效、智慧赋能渔业产业提档升级、培育农业人工智能产业生态等7项重点任务,打造全国智慧农业发展高地。","由农业农村部门牵头，加强与发展改革、财政、科技、工业和信息化、自然资源、畜牧兽医、大数据、气象等部门沟通配合，强化省、市、县三级协同联动，确保任务落到实处。统筹乡村振兴重大专项资金等各级相关领域财政资金推进智慧农业建设，重点支持关键技术攻关、数字农业发展县和应用场景建设。省级每年支持建设30个智慧农业应用场景。优化金融服务落实税收优惠政策，支持智慧农业科技企业和创新平台发展。推动高校、科研院所与智慧农业企业深化合作，培养精通信息技术与农业产业的复合型人才。持续推动高素质农民培育、基层农技推广队伍素质提升等项目，提升生产经营主体数字素养与技能。推进智慧农业领域从业人员职业技能培训与评价，吸引各类人才投身智慧农业发展。（省委金融办、省发展改革委、省教育厅、省科技厅、省工业和信息化厅、省财政厅、省人力资源社会保障厅、省自然资源厅、省农业农村厅、省大数据局、省畜牧局、山东金融监管局、省税务局、省气象局按职责分工负责）","岱岳区人民政府(2026-10-14)","2026-10-14T00:00:00Z","政策",75,{"impact":17,"substance":127,"depth":128,"authority":141,"freshness":19,"relevant":20,"comment":306},"省级智慧农业实施意见，含资金、场景数量与多部门分工等实质条款，具备政策参考价值。",[308],{"name":301,"url":298},[25,310,26,311,312],"智慧农业","应用场景","农业政策",[],{"status":315,"locked":13,"version":33,"method":34,"evidence":316},"needs_review",{"candidates":317,"agricultural_evidence":53,"reason":352},[318,324,330,336,342,348],{"code":319,"score":320,"supported":53,"title":321,"abstract":322,"tags":323},"I1",12,[310],[310],[310],{"code":325,"score":146,"supported":53,"title":326,"abstract":327,"tags":329},"C",[],[328],"畜牧",[],{"code":331,"score":146,"supported":53,"title":332,"abstract":333,"tags":335},"D",[],[334],"渔业",[],{"code":337,"score":146,"supported":53,"title":338,"abstract":339,"tags":341},"F3",[],[340],"水肥一体化",[],{"code":343,"score":146,"supported":53,"title":344,"abstract":345,"tags":347},"I2",[],[346],"农业人工智能",[],{"code":38,"score":39,"supported":13,"title":349,"abstract":350,"tags":351},[],[],[25,26],"多个产业证据相当，需要确认主归属",[354,355],"山东 智慧农业 实施意见","智慧农业应用场景 山东","山东智慧农业实施意见-5252","2026-10-19T00:07:31.203786Z",{"id":359,"title":360,"url":361,"summary":362,"summary_zh":8,"content":8,"source_name":363,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":364,"score_detail":365,"sources":368,"tags":370,"primary_topic":374,"secondary_topics":375,"classification":376,"search_phrases":412,"slug":415,"view_count":20,"doi":8,"paper":416,"created_at":423},5134,"数字乡村建设的相关问题及对策建议 涉农要素供给、农业经济新业态与数字素养","http:\u002F\u002Fwww.fbxslw.com\u002Fjjlw\u002F29025.html","针对当前涉农要素供给受限的问题,文章提出:一是发挥各级政府部门在涉农要素供给中的主导作用,形成以涉农企业、数字企业为核心的产学研协同创新机制;二是积极引导农业院校、科研机构与农业企业、农户开展技术合作;三是充分发挥大数据的要素属性,完善体现当地农业农情的大数据技术平台,充分利用遥感、云计算、地理信息等新型技术;四是加大农业物联网建设力度,以农业智能设备研发及应用为基础,加强农业大数据模型与算法的结合力度。在农业经济新业态方面,文章提出继续完善农村电商、社交平台为核心的农产品数字流通渠道,推进三次产业的数字化融合力度,提升农业生产过程与生态环境保护的相容力度。最后强调提升农业生产经营主体的数字素养,通过各类数字村务、政务或教育平台向新型职业农民提供数字培训服务。","钧创学术论文网 数字乡村建设研究 2026 年 10 月",47,{"impact":366,"substance":18,"depth":320,"authority":146,"freshness":39,"relevant":20,"comment":367},16,"选题切合数字乡村与农业信息化方向，但属学术论文网转载的综述性对策文章，无新数据与独家结论，信源权威性和时效性均弱，不宜进入每日精选。",[369],{"name":363,"url":361},[371,25,26,372,373],"农村电商","农业物联网","农业大数据",{"code":38,"slug":245,"name":246,"path":247,"parent_code":248},[],{"status":94,"locked":13,"version":33,"method":34,"evidence":377},{"candidates":378,"agricultural_evidence":53},[379,383,388,394,400,406],{"code":38,"score":18,"supported":53,"title":380,"abstract":381,"tags":382},[25],[373],[373,25,26],{"code":384,"score":59,"supported":53,"title":385,"abstract":386,"tags":387},"E5",[],[371],[371],{"code":389,"score":59,"supported":53,"title":390,"abstract":391,"tags":393},"I5",[],[392],"物联网",[372],{"code":395,"score":146,"supported":53,"title":396,"abstract":397,"tags":399},"G1",[],[398],"产学研",[],{"code":401,"score":146,"supported":53,"title":402,"abstract":403,"tags":405},"I3",[],[404],"遥感",[],{"code":407,"score":146,"supported":53,"title":408,"abstract":409,"tags":411},"I4",[],[410],"地理信息",[],[413,414],"数字乡村建设 涉农要素供给","农业经济新业态 数字素养","数字乡村建设涉农要素供给-5134",{"doi":8,"openalex_id":8,"authors":417,"venue":8,"cited_by_count":62,"oa_url":8,"card":418,"direction":67,"ingested_from":69},[],{"tldr":419,"method":420,"finding":421,"direction":67,"opportunity":422},"分析数字乡村建设中涉农要素供给、农业新业态与数字素养问题并提出对策。","政策分析与对策建议，涉及大数据、遥感、物联网、电商平台等。","需政府主导、产学研协同，完善大数据平台与物联网，提升农民数字素养。","可实证检验数字素养培训对农户采纳数字技术及新业态参与的影响机制。","2026-10-17T00:13:45.192454Z"]