[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5373":3,"related-5373":92},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":68,"slug":71,"view_count":72,"doi":73,"paper":74,"created_at":91},5373,"Can rural digitalization promote the green transformation of cultivated land? Evidence from rural China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1831062","Exploring how rural digitalization influences the green transformation of cultivated land and its spatial spillover effects holds significant implications for resolving the contradiction between cultivated land conservation and sustainable agricultural development, as well as advancing agricultural and rural modernization. With an emphasis on its underlying mechanisms, regional heterogeneity, and spatial spillover effects, this paper systematically examines how rural digitalization affects the greening transformation of cultivated land using panel data from 31 Chinese provinces over the 2011–2023 period and econometric techniques. The results show: (1) The level of green transformation of cultivated land in China has steadily risen, with a spatial gradient characterized by “leading in the eastern coastal areas, steady in central China, and lagging in the western and northeastern regions”; (2) Rural digitalization significantly promotes the green transformation of cultivated land by facilitating industrial structure upgrading, improving human capital, and optimizing land resource allocation; (3) Rural digitalization has a significantly positive spatial spillover effect on green transformation, raising the greening level of surrounding cultivated lands; (4) The impact of rural digitalization exhibits pronounced regional and digitalization-level heterogeneity. In addition to offering empirical data and useful insights for developing unique policies and promoting regional cooperative governance, this study enhances theoretical viewpoints on digital villages and green agricultural growth.","探究乡村数字化对耕地绿色转型的影响及其空间溢出效应，对于破解耕地保护与农业可持续发展之间的矛盾、推进农业农村现代化具有重要意义。本文以作用机制、区域异质性和空间溢出效应为重点，基于2011—2023年中国31个省份的面板数据，运用计量经济学方法，系统考察了乡村数字化如何影响耕地绿色转型。结果表明：(1)中国耕地绿色转型水平稳步上升，呈现“东部沿海领先、中部平稳、西部和东北地区滞后”的空间梯度特征；(2)乡村数字化通过促进产业结构升级、提升人力资本和优化土地资源配置，显著推动耕地绿色转型；(3)乡村数字化对耕地绿色转型具有显著的正向空间溢出效应，能够提升周边地区耕地的绿色化水平；(4)乡村数字化的影响表现出明显的区域异质性和数字化水平异质性。本研究不仅为制定差异化政策和推进区域协同治理提供了经验数据和有益启示，也丰富了对数字乡村与农业绿色发展的理论认识。",null,"Frontiers in Sustainable Food Systems","2026-10-19T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,22,19,13,9,1,"基于31省面板数据的实证研究，方法规范、结论有新意，对数字乡村与耕地绿色转型政策有参考价值，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","空间溢出","农业现代化","绿色转型","耕地保护",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":42,"reason":67},[39,46,51,57,62],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":45},"H1",4,true,[],[31],[31],{"code":47,"score":41,"supported":42,"title":48,"abstract":49,"tags":50},"I6",[],[27],[27],{"code":52,"score":41,"supported":42,"title":53,"abstract":54,"tags":56},"J2",[],[55],"农业农村现代化",[29],{"code":58,"score":22,"supported":14,"title":59,"abstract":60,"tags":61},"H4",[],[],[30],{"code":63,"score":22,"supported":14,"title":64,"abstract":65,"tags":66},"I4",[],[],[28],"多个产业证据相当，需要确认主归属",[69,70],"农村数字化 耕地绿色转型","数字乡村 空间溢出效应","农村数字化耕地绿色转型-5373",0,"10.3389\u002Ffsufs.2026.1831062",{"doi":73,"openalex_id":75,"authors":76,"venue":10,"cited_by_count":72,"oa_url":6,"card":83,"direction":89,"ingested_from":90},"W7222979824",[77,79,81],{"name":78,"orcid":9},"Yifeng Lv",{"name":80,"orcid":9},"Daichen Guo",{"name":82,"orcid":9},"Sanglin Zhao",{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"用中国31省面板数据检验农村数字化对耕地绿色转型的影响及空间溢出。","2011–2023年31省面板数据与计量模型，含机制、异质性和空间溢出分析。","农村数字化通过产业升级、人力资本和土地配置显著促进耕地绿色转型，并具正向空间溢出。","农业绿色发展与碳","可深入县域或地块尺度，结合数字基础设施数据识别因果机制与跨区协同治理路径。","数字乡村与农业信息化","openalex","2026-10-20T23:30:07.007802Z",{"total":93,"page":22,"page_size":93,"items":94},6,[95,140,196,243,297,364],{"id":96,"title":97,"url":98,"summary":99,"summary_zh":9,"content":9,"source_name":100,"source_url":9,"published_at":101,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":102,"score_detail":103,"sources":106,"tags":108,"primary_topic":9,"secondary_topics":112,"classification":113,"search_phrases":126,"slug":129,"view_count":72,"doi":130,"paper":131,"created_at":139},5461,"Research on the multidimensional impact effects of the rural digital economy on the resilience of agricultural development: evidence from 30 provinces in China（农村数字经济对农业发展韧性的多维影响效应：来自中国30个省份的证据）","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1057\u002Fs41599-026-09360-9","基于2011—2022年30个省份数据，熵值法测度农村数字经济与农业韧性，用空间杜宾模型检验直接效应、空间溢出与技术进步中介。直接效应在西部与非粮食主产区更显著，溢出在东部与主产区更显著，技术进步仅有本地中介。","Humanities and Social Sciences Communications 2026-10-17","2026-10-17T00:00:00Z",82,{"impact":18,"substance":18,"depth":17,"authority":104,"freshness":93,"relevant":22,"comment":105},14,"基于30省11年面板数据的实证研究，方法规范、结论有区域异质性价值，属数字乡村与农业经济交叉领域的高质量论文，值得进入每日精选。",[107],{"name":100,"url":98},[27,109,28,110,111],"农业韧性","省级面板","农村数字经济",[],{"status":114,"locked":14,"version":35,"method":36,"evidence":115},"unclassified",{"candidates":116,"agricultural_evidence":42,"reason":125},[117,121],{"code":63,"score":22,"supported":14,"title":118,"abstract":119,"tags":120},[],[],[28],{"code":47,"score":22,"supported":14,"title":122,"abstract":123,"tags":124},[],[],[27],"缺少足够的主题证据",[127,128],"农村数字经济 农业韧性","空间杜宾模型 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Modernization)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031","基于2013—2023年30个省份面板数据，熵值TOPSIS法测度农业现代化指数，双向固定效应模型检验机制。数字化显著促进农业现代化，经市场化水平传导，农业社会化服务起调节作用。对非粮食主产区显著，对主产区不显著。","中国农机化学报 2026-10-20","2026-10-20T00:00:00Z",78,{"impact":17,"substance":149,"depth":150,"authority":20,"freshness":21,"relevant":22,"comment":151},21,17,"基于30省十年面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业事件，适合精选但非头条。",[153],{"name":145,"url":143},[27,110,29,155],"农业社会化服务",{"code":157,"slug":158,"name":159,"path":160,"parent_code":161},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":164,"locked":14,"version":35,"method":36,"evidence":165},"classified",{"candidates":166,"agricultural_evidence":42},[167,173,179],{"code":52,"score":168,"supported":42,"title":169,"abstract":171,"tags":172},20,[29,170],"agricultural modernization",[29],[29],{"code":157,"score":174,"supported":42,"title":175,"abstract":177,"tags":178},12,[176],"社会化服务",[176],[155],{"code":47,"score":22,"supported":14,"title":180,"abstract":181,"tags":182},[],[],[27],[184,185],"数字化 农业社会化服务 农业现代化","熵值TOPSIS 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 10月8日，记者从市农业农村委获悉，我市依托“巴渝良田”应用系统，全市445万块耕地实现“赋码管理”，通过整合123个图层数据，构建起“农地一张图”，实现地类、质量、坡度等45项信息“一图统揽、一码查地”。\n\n10月8日，在垫江县桂东街道龙田村，种粮大户李伦明站在田埂上，掏出手机对着高标准农田建设项目标识牌上的二维码轻轻一扫，屏幕上立刻弹出地块信息：面积326亩，坡度小于15度，土壤类型为紫色土，属于2025年高标准农田改造提升项目区，施工单位、监理单位、建设工期清清楚楚。“有了这个‘电子身份证’，哪块地什么情况，一目了然。”李伦明说。\n\n李伦明口中的“电子身份证”，正是我市全面启动的“巴渝良田”应用系统。该系统通过整合农业农村、自然资源、水利、林业等部门的123个图层数据，将全市445万块耕地纳入“农地一张图”，每块地都被赋予唯一编码，关联地类、质量、坡度、权属、高标准农田建设情况等45项信息。管理人员和群众扫码即可查地，彻底告别了过去翻图纸、跑现场、层层问询的传统模式。\n\n垫江县农业农村委工作人员王强打开“巴渝良田”系统，轻点鼠标，一架无人机沿着预设航线对在建的高标准农田项目进行空中巡查。高清画面实时回传，AI很快识别出某处沟渠铺设厚度不达标。系统立即生成整改工单，同步推送给施工方、监理方和项目负责人。“以前发现这种隐蔽问题，得靠人下到田里一处处量，现在‘空中慧眼’半小时就能巡完上千亩耕地，问题秒级预警、闭环整改。”王强说。\n\n除了“管地”，数字监管还“管钱”。我市将所有高标准农田项目建设资金纳入专户管理，依托“巴渝良田”系统与预算管理一体化平台互联互通，让资金流、项目流、业务流“三流贯通”，每一笔资金拥有唯一“身份证号”，实现全程可追溯、可核验。","重庆市农业农村委员会 2026-10-09","2026-10-09T00:00:00Z","报道",{"impact":18,"substance":18,"depth":150,"authority":174,"freshness":206,"relevant":22,"comment":207},8,"省级耕地数字化管理落地案例，445万块耕地赋码、123图层整合与AI无人机巡查等细节扎实，具备主题聚合与检索价值。",[209],{"name":202,"url":199},[27,211,31,212,213,214],"高标准农田","遥感监测","农地一张图","赋码管理",{"code":40,"slug":216,"name":217,"path":218,"parent_code":219},"farmland","耕地保护与高标准农田","\u002Ftopic\u002Fenvironment\u002Ffarmland","H",[],{"status":164,"locked":14,"version":35,"method":36,"evidence":222},{"candidates":223,"agricultural_evidence":42},[224,229,234],{"code":40,"score":206,"supported":42,"title":225,"abstract":226,"tags":228},[],[211,227],"农田建设",[31,211],{"code":230,"score":22,"supported":14,"title":231,"abstract":232,"tags":233},"I3",[],[],[212],{"code":47,"score":22,"supported":14,"title":235,"abstract":236,"tags":237},[],[],[27],[239,240],"重庆 巴渝良田 赋码管理","重庆 高标准农田 一码查地","重庆巴渝良田赋码管理-4613","2026-10-11T00:09:35.623381Z",{"id":244,"title":245,"url":246,"summary":247,"summary_zh":9,"content":9,"source_name":248,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":249,"score_detail":250,"sources":253,"tags":255,"primary_topic":258,"secondary_topics":263,"classification":264,"search_phrases":284,"slug":287,"view_count":288,"doi":9,"paper":289,"created_at":296},4405,"数字化赋能农业农村现代化的逻辑机理与实证研究","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F172930.html","徐卓顺、任鹏基于 2014-2024 年中国省际面板数据,构建数字化与农业农村现代化评价指标体系,结合主成分分析法提取数字化发展基础、创新能力、人力资本三大核心因子,运用 SDM 模型实证检验发现数字化对农业农村现代化的直接效应、间接效应及总效应均显著为正,存在明显的省际空间反馈效应;创新能力助推作用最强、基础设施建设水平次之;东部赋能优势突出、西部存在负向空间外溢。","吉林省社会科学院软科学所 吉林省科学技术信息研究所《吉林大学社会科学学报》2026 年第 04 期",74,{"impact":17,"substance":18,"depth":17,"authority":104,"freshness":251,"relevant":22,"comment":252},2,"基于2014-2024省际面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且时效性偏弱，适合主题聚合而非每日精选。",[254],{"name":248,"url":246},[27,55,28,256,257],"数字化转型","省级面板数据",{"code":52,"slug":259,"name":260,"path":261,"parent_code":262},"modernization","农业强国与现代化","\u002Ftopic\u002Fpolicy\u002Fmodernization","J",[],{"status":164,"locked":14,"version":35,"method":36,"evidence":265},{"candidates":266,"agricultural_evidence":42},[267,271,276,280],{"code":52,"score":174,"supported":42,"title":268,"abstract":269,"tags":270},[55],[55],[55],{"code":272,"score":22,"supported":14,"title":273,"abstract":274,"tags":275},"I1",[],[],[256],{"code":63,"score":22,"supported":14,"title":277,"abstract":278,"tags":279},[],[],[28],{"code":47,"score":22,"supported":14,"title":281,"abstract":282,"tags":283},[],[],[27],[285,286],"徐卓顺 任鹏 数字化 农业农村现代化","吉林大学社会科学学报 数字化 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Policy","https:\u002F\u002Fdoi.org\u002F10.3390\u002Feconomies14100435","Farmer professional cooperatives are important vehicles for agricultural modernisation. In the digital age, the development of cooperatives has followed two typical pathways: upgrading in scale and transformation in business operations. Existing research has focused on the impact of digitalisation on the former, while paying less attention to the issue of structural transformation within cooperatives. To investigate this issue, this study constructs a difference-in-differences model based on a sample of data from Chinese farmer professional cooperatives. By leveraging the quasi-natural experiment of the digital village policy to construct variables, this study examines the impact of rural digitalisation on cooperative upgrading and transformation and analyses the mechanisms driving the divergence of cooperative development pathways. The study indicates that: (1) The China Digital Village Policy has had a significant positive impact on both the transformation and upgrading of farmer professional cooperatives. (2) Conditional on observable variables, the China Digital Village Policy is positively associated with cooperative upgrading and transformation, with patterns consistent with potential pathways through information channel capability and technological innovation capability. (3) Under the same observable-variable constraints, market expansion capability and capital acquisition capability show conditional association patterns that are significantly positively associated with cooperative upgrading. For cooperative transformation, however, they show conditional suppression patterns. This indicates that agricultural digitalisation is closely linked to cooperative upgrading and transformation. The differentiated empirical patterns of digitalisation along the dimensions of information channels, technological innovation, market expansion and capital acquisition provide empirical evidence for understanding the pathways of cooperative differentiation.","农民专业合作社是农业现代化的重要载体。在数字时代，合作社发展遵循了两条典型路径：规模升级与经营转型。已有研究主要关注数字化对前者的影响，而对合作社结构转型问题关注不足。为探究这一问题，本研究基于中国农民专业合作社数据样本构建了双重差分模型。通过利用数字乡村政策的准自然实验构建变量，本研究考察了乡村数字化对合作社升级与转型的影响，并分析了驱动合作社发展路径分化的机制。研究表明：(1) 中国数字乡村政策对农民专业合作社的转型与升级均产生了显著正向影响。(2) 在可观测变量条件下，中国数字乡村政策与合作社升级和转型呈正相关，其模式与通过信息渠道能力和技术创新能力的潜在路径相一致。(3) 在相同的可观测变量约束下，市场拓展能力和资本获取能力与合作社升级呈现显著正相关的条件关联模式；然而对于合作社转型，它们则呈现条件抑制模式。这表明农业数字化与合作社升级和转型密切相关。数字化在信息渠道、技术创新、市场拓展和资本获取等维度上的差异化实证模式，为理解合作社分化路径提供了经验证据。","Economies","2026-10-01T00:00:00Z",84,{"impact":18,"substance":18,"depth":17,"authority":20,"freshness":21,"relevant":22,"comment":307},"基于中国数字乡村政策准自然实验的双重差分研究，方法规范、结论有新意，对数字乡村与合作社发展路径具参考价值。",[309],{"name":303,"url":300},[27,311,29,312,313],"农业数字化","农民合作社","合作社转型",{"code":47,"slug":315,"name":316,"path":317,"parent_code":318},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":164,"locked":14,"version":35,"method":36,"evidence":321},{"candidates":322,"agricultural_evidence":42},[323,329,333,337,341],{"code":47,"score":324,"supported":42,"title":325,"abstract":327,"tags":328},15,[326],"digital village",[27,326],[27],{"code":52,"score":41,"supported":42,"title":330,"abstract":331,"tags":332},[],[29],[29],{"code":157,"score":22,"supported":14,"title":334,"abstract":335,"tags":336},[],[],[312],{"code":318,"score":22,"supported":14,"title":338,"abstract":339,"tags":340},[],[],[311],{"code":272,"score":22,"supported":14,"title":342,"abstract":343,"tags":344},[],[],[311],[346,347],"中国数字乡村政策 农民专业合作社","数字乡村 合作社 转型升级","中国数字乡村政策农民专业合作社-4033","10.3390\u002Feconomies14100435",{"doi":349,"openalex_id":351,"authors":352,"venue":303,"cited_by_count":72,"oa_url":300,"card":358,"direction":89,"ingested_from":90},"W7215037926",[353,355],{"name":354,"orcid":9},"Yingying Zhang",{"name":356,"orcid":357},"Yaodong Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-7573-2850",{"tldr":359,"method":360,"finding":361,"direction":89,"opportunity":362},"基于中国数字乡村政策准自然实验，用双重差分法检验数字化对农民合作社升级与转型的影响。","双重差分模型，中国农民专业合作社样本，数字乡村政策准自然实验。","数字乡村政策显著促进合作社升级与转型，信息渠道与技术创新为潜在路径，市场与资本能力对升级促进、对转型","可深入探究市场扩张与资本获取能力为何抑制合作社业务转型，及其组织与制度边界条件。","2026-10-02T23:30:30.775133Z",{"id":365,"title":366,"url":367,"summary":368,"summary_zh":9,"content":9,"source_name":369,"source_url":9,"published_at":370,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":249,"score_detail":371,"sources":373,"tags":375,"primary_topic":379,"secondary_topics":380,"classification":381,"search_phrases":397,"slug":400,"view_count":401,"doi":9,"paper":402,"created_at":409},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",{"impact":17,"substance":149,"depth":17,"authority":20,"freshness":41,"relevant":22,"comment":372},"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。",[374],{"name":369,"url":367},[27,28,376,377,378],"共同富裕","农旅融合","省域面板数据",{"code":47,"slug":315,"name":316,"path":317,"parent_code":318},[],{"status":164,"locked":14,"version":35,"method":36,"evidence":382},{"candidates":383,"agricultural_evidence":42},[384,388,393],{"code":47,"score":174,"supported":42,"title":385,"abstract":386,"tags":387},[27],[27],[27],{"code":389,"score":22,"supported":14,"title":390,"abstract":391,"tags":392},"G4",[],[],[376],{"code":63,"score":22,"supported":14,"title":394,"abstract":395,"tags":396},[],[],[28],[398,399],"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",7,{"doi":9,"openalex_id":9,"authors":403,"venue":9,"cited_by_count":72,"oa_url":9,"card":404,"direction":89,"ingested_from":138},[],{"tldr":405,"method":406,"finding":407,"direction":89,"opportunity":408},"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"]