[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4403":3,"related-4403":73},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":8,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":13,"score_detail":14,"sources":21,"tags":23,"primary_topic":8,"secondary_topics":29,"classification":30,"search_phrases":58,"slug":61,"view_count":18,"doi":8,"paper":62,"created_at":72},4403,"数字技术发展赋能农业绿色全要素生产率 — 基于机制异质性与区域适配的实证分析","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F173656.html","张建伟、孟婷洁基于 2011-2023 年中国 31 个省份面板数据,采用熵值法和 SBM-GML 模型测度数字技术发展与农业绿色全要素生产率,运用双向固定效应模型检验发现数字技术发展具有显著促进作用且存在双重异质性;空间上回报率呈地理位置为主导的分化,效率上呈边际效应递减;机制上要素数字化呈现「转化—产出」结构性失衡,东部强于转化弱于产出,中西部相反。",null,"西藏大学经济与管理学院《华东经济管理》2026 年第 06 期","论文",10,false,73,{"impact":15,"substance":16,"depth":15,"authority":17,"freshness":18,"relevant":19,"comment":20},18,22,13,2,1,"基于31省面板数据的实证研究，方法规范、结论有区域适配价值，但属学术论文且时效性弱，适合主题聚合而非每日精选。",[22],{"name":9,"url":6},[24,25,26,27,28],"数字乡村","数字技术","农业绿色发展","区域差异","农业全要素生产率",[],{"status":31,"locked":12,"version":32,"method":33,"evidence":34},"unclassified","2026-10-22.2","rules",{"candidates":35,"agricultural_evidence":56,"reason":57},[36,41,46,51],{"code":37,"score":19,"supported":12,"title":38,"abstract":39,"tags":40},"H4",[],[],[26],{"code":42,"score":19,"supported":12,"title":43,"abstract":44,"tags":45},"H8",[],[],[26],{"code":47,"score":19,"supported":12,"title":48,"abstract":49,"tags":50},"I1",[],[],[25],{"code":52,"score":19,"supported":12,"title":53,"abstract":54,"tags":55},"I6",[],[],[24],true,"缺少足够的主题证据",[59,60],"数字技术 农业绿色全要素生产率","SBM-GML 数字技术","数字技术农业绿色全要素生产率-4403",{"doi":8,"openalex_id":8,"authors":63,"venue":8,"cited_by_count":64,"oa_url":8,"card":65,"direction":69,"ingested_from":71},[],0,{"tldr":66,"method":67,"finding":68,"direction":69,"opportunity":70},"基于2011-2023年31省面板数据，实证检验数字技术对农业绿色全要素生产率的促进效应及异质性。","熵值法与SBM-GML测度，双向固定效应模型，31省面板数据。","数字技术显著促进农业绿色全要素生产率，存在空间与效率双重异质性，要素数字化呈转化—产出结构性失衡。","农业绿色发展与碳","可深入探究要素数字化转化—产出失衡的微观机制，及东中西部差异化适配路径与政策设计。","agent","2026-10-08T00:07:46.774845Z",{"total":74,"page":19,"page_size":74,"items":75},6,[76,124,174,224,280,336],{"id":77,"title":78,"url":79,"summary":80,"summary_zh":8,"content":8,"source_name":81,"source_url":8,"published_at":8,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":82,"score_detail":83,"sources":86,"tags":88,"primary_topic":92,"secondary_topics":97,"classification":98,"search_phrases":111,"slug":114,"view_count":18,"doi":8,"paper":115,"created_at":123},5225,"数字基础设施能否提高农业全要素生产率?——基于浙江智慧农业云平台建设的经验证据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F174580.html","《河南师范大学学报(哲学社会科学版)》2026年第3期,李荣华、张怡君以浙江智慧农业云平台设立为准自然实验,采用合成控制法系统评估智慧农业云平台对农业全要素生产率的影响,发现平台设立对TFP提升具有稳健且显著的政策效应,同时驱动技术进步与技术效率两个维度的突破。","河南师范大学学报(2026)",74,{"impact":15,"substance":16,"depth":15,"authority":84,"freshness":18,"relevant":19,"comment":85},14,"核心期刊论文，以浙江智慧农业云平台为准自然实验，用合成控制法验证数字基础设施对农业TFP的稳健提升效应，方法规范、结论有政策参考价值，但时效性偏弱。",[87],{"name":81,"url":79},[24,89,90,28,91],"智慧农业","浙江","合成控制法",{"code":47,"slug":93,"name":94,"path":95,"parent_code":96},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":99,"locked":12,"version":32,"method":33,"evidence":100},"classified",{"candidates":101,"agricultural_evidence":56},[102,107],{"code":47,"score":103,"supported":56,"title":104,"abstract":105,"tags":106},12,[89],[89],[89],{"code":52,"score":19,"supported":12,"title":108,"abstract":109,"tags":110},[],[],[24],[112,113],"浙江 智慧农业云平台","农业全要素生产率 数字基础设施","浙江智慧农业云平台-5225",{"doi":8,"openalex_id":8,"authors":116,"venue":8,"cited_by_count":64,"oa_url":8,"card":117,"direction":121,"ingested_from":71},[],{"tldr":118,"method":119,"finding":120,"direction":121,"opportunity":122},"以浙江智慧农业云平台为准自然实验，评估数字基础设施对农业全要素生产率的影响。","合成控制法，基于浙江智慧农业云平台建设的准自然实验数据。","平台设立对农业TFP提升有稳健显著的政策效应，并驱动技术进步与技术效率双突破。","数字乡村与农业信息化","可延伸研究不同区域数字基础设施对TFP的异质性效应及技术效率提升的微观机制。","2026-10-18T00:05:30.510965Z",{"id":125,"title":126,"url":127,"summary":128,"summary_zh":8,"content":8,"source_name":129,"source_url":8,"published_at":130,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":131,"score_detail":132,"sources":134,"tags":136,"primary_topic":140,"secondary_topics":144,"classification":145,"search_phrases":162,"slug":165,"view_count":64,"doi":8,"paper":166,"created_at":173},4781,"中国数字乡村建设与县域老年照护产业的耦合协调关系及区域差异研究","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-10\u002F20261009225937972.htm","本研究利用中国县域数字乡村指数2018年和2020年及匹配的老年照护产业统计数据,采用综合耦合协调度评价模型考察两大系统之间的耦合协调度及其区域差异。研究发现,全国整体耦合协调水平仍偏低,农村经济、日常生活和治理的数字化与老年照护产业耦合度呈中度失衡。结论建议政府应优先关注数字乡村建设的社会效益,加强农村老年照护的技术和服务支持。","生物通 报道 BMC Geriatrics 2026-10-10","2026-10-10T00:00:00Z",77,{"impact":15,"substance":16,"depth":15,"authority":17,"freshness":74,"relevant":19,"comment":133},"基于县域面板数据的实证研究，揭示数字乡村与老年照护产业耦合失衡，对农村数字化社会效益有政策参考价值。",[135],{"name":129,"url":127},[24,137,138,27,139],"县域经济","耦合协调","老年照护",{"code":52,"slug":141,"name":142,"path":143,"parent_code":96},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":99,"locked":12,"version":32,"method":33,"evidence":146},{"candidates":147,"agricultural_evidence":56},[148,152,157],{"code":52,"score":103,"supported":56,"title":149,"abstract":150,"tags":151},[24],[24],[24],{"code":153,"score":19,"supported":12,"title":154,"abstract":155,"tags":156},"G4",[],[],[137],{"code":158,"score":19,"supported":12,"title":159,"abstract":160,"tags":161},"I4",[],[],[138],[163,164],"中国县域数字乡村指数 老年照护产业","区域差异 县域经济 数字乡村 老年照护","中国县域数字乡村指数老年照护产业-4781",{"doi":8,"openalex_id":8,"authors":167,"venue":8,"cited_by_count":64,"oa_url":8,"card":168,"direction":121,"ingested_from":71},[],{"tldr":169,"method":170,"finding":171,"direction":121,"opportunity":172},"研究中国县域数字乡村建设与老年照护产业的耦合协调关系及区域差异。","基于2018和2020年县域数字乡村指数与老年照护产业数据，构建耦合协调度模型。","全国整体耦合协调水平偏低，数字化与老年照护产业呈中度失衡，区域差异明显。","可深入探究数字乡村建设对农村老年照护服务可及性的因果影响及技术赋能路径。","2026-10-13T00:08:38.106787Z",{"id":175,"title":176,"url":177,"summary":178,"summary_zh":8,"content":8,"source_name":179,"source_url":8,"published_at":180,"category":10,"cover_url":8,"hotness":181,"is_selected":12,"score":131,"score_detail":182,"sources":184,"tags":189,"primary_topic":8,"secondary_topics":193,"classification":194,"search_phrases":205,"slug":208,"view_count":19,"doi":209,"paper":210,"created_at":223},4641,"中国数字经济与农业产业融合的时空格局、区域差异及影响因素(Spatiotemporal patterns, regional differences, and influencing factors of the integration of digital economy and agricultural industry in China)","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1985406\u002Ffull","基于2013—2022年省级数据,采用CRITIC赋权、Dagum Gini系数与GTWR模型,分析中国数字经济与农业产业融合(IDEAI)水平及其影响因素。结果显示:融合水平持续上升但总体仍较低,呈东高西低格局;整体差距趋缓,区域间差异是主要来源;技术创新、市场需求、政府支持对融合有正向作用,金融服务2018年前为正后转弱,规模经营与融合呈负相关。局限:数据仅至2022年,部分指标采用代理变量。","Frontiers in Sustainable Food Systems 2026-10-06","2026-10-06T00:00:00Z",25,{"impact":15,"substance":16,"depth":15,"authority":17,"freshness":74,"relevant":19,"comment":183},"基于2013—2022年省级数据的实证研究，方法规范、结论有参考价值，但数据滞后且属学术论文，时效性与公共传播性一般。",[185,186],{"name":179,"url":177},{"name":187,"url":188},"Frontiers in Sustainable Food Systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1985406",[24,190,27,191,192],"产业融合","农业数字经济","GTWR模型",[],{"status":31,"locked":12,"version":32,"method":33,"evidence":195},{"candidates":196,"agricultural_evidence":56,"reason":57},[197,201],{"code":153,"score":19,"supported":12,"title":198,"abstract":199,"tags":200},[],[],[190],{"code":52,"score":19,"supported":12,"title":202,"abstract":203,"tags":204},[],[],[24],[206,207],"数字经济 农业产业融合","农业产业融合 区域差异","数字经济农业产业融合-4641","10.3389\u002Ffsufs.2026.1985406\u002Ffull",{"doi":209,"openalex_id":211,"authors":212,"venue":187,"cited_by_count":64,"oa_url":188,"card":217,"direction":121,"ingested_from":222},"W7223154949",[213,215],{"name":214,"orcid":8},"Di Wu",{"name":216,"orcid":8},"艾维 陶",{"tldr":218,"method":219,"finding":220,"direction":121,"opportunity":221},"基于2013—2022年省级数据，测度中国数字经济与农业产业融合水平并分析其时空格局与影响因素。","CRITIC赋权、Dagum Gini系数与GTWR模型，使用省级面板数据。","融合水平持续上升但总体偏低、东高西低；区域间差异是主要来源；技术创新、市场需求、政府支持正向促进。","可延伸至县域或企业微观尺度，探究金融服务作用由正转弱的机制及规模经营负相关的成因。","openalex","2026-10-11T00:09:47.185401Z",{"id":225,"title":226,"url":227,"summary":228,"summary_zh":8,"content":8,"source_name":229,"source_url":8,"published_at":8,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":82,"score_detail":230,"sources":232,"tags":234,"primary_topic":238,"secondary_topics":243,"classification":244,"search_phrases":268,"slug":271,"view_count":18,"doi":8,"paper":272,"created_at":279},4475,"数绿协同转型赋能乡村产业振兴的效应检验与机制研究","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165473.html","侯建、麻洁云、张朝阳（河南农业大学）基于2013—2023年中国30个省份面板数据，构建数字化与绿色化耦合协同指标体系，并利用动态门槛回归模型、空间杜宾模型，从农村人力资本视角深入探究数绿协同转型对乡村产业振兴的影响机制；研究表明数绿协同转型显著推动了乡村产业振兴，东中部地区及非平原地区受益更为显著；存在农村人力资本门槛效应，呈现U型关系；具有正向空间溢出效应；研究得到国家社会科学基金青年项目（25CJY083）资助。","农业经济与管理 2026年第3期",{"impact":15,"substance":16,"depth":15,"authority":84,"freshness":18,"relevant":19,"comment":231},"基于30省份面板数据的实证研究，方法规范、结论有新意，但属学术论文且时效性偏弱，适合主题聚合而非每日精选。",[233],{"name":229,"url":227},[24,26,235,236,237],"乡村产业振兴","农村人力资本","空间溢出效应",{"code":153,"slug":239,"name":240,"path":241,"parent_code":242},"rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",[],{"status":99,"locked":12,"version":32,"method":33,"evidence":245},{"candidates":246,"agricultural_evidence":56},[247,252,256,260,264],{"code":153,"score":103,"supported":56,"title":248,"abstract":250,"tags":251},[249],"乡村产业",[249],[235],{"code":37,"score":19,"supported":12,"title":253,"abstract":254,"tags":255},[],[],[26],{"code":42,"score":19,"supported":12,"title":257,"abstract":258,"tags":259},[],[],[26],{"code":158,"score":19,"supported":12,"title":261,"abstract":262,"tags":263},[],[],[237],{"code":52,"score":19,"supported":12,"title":265,"abstract":266,"tags":267},[],[],[24],[269,270],"河南农业大学 数绿协同 乡村产业振兴","30省份面板 数字化绿色化 耦合协同","河南农业大学数绿协同乡村产业振兴-4475",{"doi":8,"openalex_id":8,"authors":273,"venue":8,"cited_by_count":64,"oa_url":8,"card":274,"direction":121,"ingested_from":71},[],{"tldr":275,"method":276,"finding":277,"direction":121,"opportunity":278},"基于30省面板数据，检验数绿协同转型对乡村产业振兴的效应与机制。","构建数字化与绿色化耦合协同指标，用动态门槛回归与空间杜宾模型。","数绿协同显著促进乡村产业振兴，存在人力资本U型门槛与正向空间溢出。","可深入微观农户或县域层面，探究人力资本门槛的成因与跨区域溢出路径。","2026-10-09T00:05:02.298238Z",{"id":281,"title":282,"url":283,"summary":284,"summary_zh":8,"content":8,"source_name":285,"source_url":8,"published_at":286,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":287,"score_detail":288,"sources":291,"tags":293,"primary_topic":296,"secondary_topics":300,"classification":301,"search_phrases":322,"slug":325,"view_count":326,"doi":327,"paper":328,"created_at":335},4153,"中国农业农村数字化绿色化协同发展的时空格局及其增收效应","https:\u002F\u002Fcjournal.hep.com.cn\u002F1007-4333\u002FCN\u002F10.11841\u002Fj.issn.1007-4333.2026.10.06","蔡雪玲（中国农业大学学报2026年第10期，兰州财经大学会计学院）。文章立足于农业农村「生产-管理-生态-创新-生活」数绿协同的内在逻辑构建测度指标体系，采用熵值法、改进的耦合协调度模型、Kernel密度估计与空间Markov链转移矩阵测算农业农村数绿协同发展水平并刻画其时空演进特征，构建固定效应模型与空间计量模型检验农业农村数绿协同发展对农村居民收入的影响关系与空间溢出效应。结果表明：全国及各省份农业农村数绿协同发展水平缓慢上升，尚处于基本协同阶段。","中国农业大学学报2026年第10期","2026-10-01T00:00:00Z",80,{"impact":15,"substance":16,"depth":15,"authority":84,"freshness":289,"relevant":19,"comment":290},8,"核心期刊论文，构建数绿协同测度体系并实证检验其增收效应与空间溢出，方法规范、结论有政策参考价值，但属学术研究而非产业动态，适合主题聚合而非每日精选头条。",[292],{"name":285,"url":283},[24,26,294,295,237],"农村居民收入","耦合协调度",{"code":158,"slug":297,"name":298,"path":299,"parent_code":96},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",[],{"status":99,"locked":12,"version":32,"method":33,"evidence":302},{"candidates":303,"agricultural_evidence":56},[304,310,314,318],{"code":158,"score":305,"supported":56,"title":306,"abstract":307,"tags":309},5,[],[308],"空间计量",[237,295],{"code":37,"score":19,"supported":12,"title":311,"abstract":312,"tags":313},[],[],[26],{"code":42,"score":19,"supported":12,"title":315,"abstract":316,"tags":317},[],[],[26],{"code":52,"score":19,"supported":12,"title":319,"abstract":320,"tags":321},[],[],[24],[323,324],"农业农村 数字化绿色化 协同发展","农村居民收入 空间溢出效应","农业农村数字化绿色化协同发展-4153",4,"10.11841\u002Fj.issn.1007-4333.2026.10.06",{"doi":327,"openalex_id":8,"authors":329,"venue":8,"cited_by_count":64,"oa_url":8,"card":330,"direction":121,"ingested_from":71},[],{"tldr":331,"method":332,"finding":333,"direction":121,"opportunity":334},"测度中国农业农村数字化绿色化协同水平并检验其时空格局与增收效应。","熵值法、耦合协调度模型、Kernel密度、空间Markov链与空间计量模型。","全国及各省数绿协同水平缓慢上升，仍处基本协同阶段，且对农村居民收入有影响与空间溢出。","可深入探究数绿协同增收效应的区域异质性与微观农户传导机制，识别关键短板维度。","2026-10-04T00:09:09.731896Z",{"id":337,"title":338,"url":339,"summary":340,"summary_zh":8,"content":8,"source_name":341,"source_url":8,"published_at":342,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":343,"score_detail":344,"sources":349,"tags":351,"primary_topic":354,"secondary_topics":360,"classification":361,"search_phrases":390,"slug":393,"view_count":74,"doi":8,"paper":394,"created_at":401},3959,"农村电商发展的\"绿水青山\"效应：来自县域的证据","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fhznydxxbshkxb\u002Fmulu\u002F559252.html","陈苏（江西财经大学）、崔凯玲（厦门大学）、潘丹（江西财经大学）使用2000-2019年1884个中国县域面板数据，将电子商务进农村综合示范政策视作政府支持农村电商发展的一项准自然实验，基于卫星反演技术获取农业生态环境质量数据，采用多期双重差分模型评估农村电商发展对农业生态环境质量的影响效应。结果表明：农村电商发展显著提高农业生态环境质量，具有明显的\"绿水青山\"效应，且这一效应在长期内可持续；机制分析发现农村电商通过推动农业绿色生产、提高农村信息化程度提高农业生态环境质量。","华中农业大学学报（社科版）·2026年","2026-09-15T00:00:00Z",81,{"impact":16,"substance":345,"depth":346,"authority":84,"freshness":347,"relevant":19,"comment":348},23,19,3,"基于1884个县域面板与卫星反演数据的多期DID研究，实证农村电商的农业生态环境改善效应，方法扎实、结论有政策价值，但时效性偏弱。",[350],{"name":341,"url":339},[352,24,137,26,353],"农村电商","农业生态环境",{"code":355,"slug":356,"name":357,"path":358,"parent_code":359},"E5","branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","E",[],{"status":99,"locked":12,"version":32,"method":33,"evidence":362},{"candidates":363,"agricultural_evidence":56},[364,368,374,378,382,386],{"code":355,"score":103,"supported":56,"title":365,"abstract":366,"tags":367},[352],[352],[352],{"code":369,"score":347,"supported":56,"title":370,"abstract":371,"tags":373},"H6",[],[372],"农业生态",[],{"code":153,"score":19,"supported":12,"title":375,"abstract":376,"tags":377},[],[],[137],{"code":37,"score":19,"supported":12,"title":379,"abstract":380,"tags":381},[],[],[26],{"code":42,"score":19,"supported":12,"title":383,"abstract":384,"tags":385},[],[],[26],{"code":52,"score":19,"supported":12,"title":387,"abstract":388,"tags":389},[],[],[24],[391,392],"农村电商 农业生态环境","农业生态环境 农业绿色发展 农村电商 县域经济","农村电商农业生态环境-3959",{"doi":8,"openalex_id":8,"authors":395,"venue":8,"cited_by_count":64,"oa_url":8,"card":396,"direction":69,"ingested_from":71},[],{"tldr":397,"method":398,"finding":399,"direction":69,"opportunity":400},"基于1884个县域面板数据，评估农村电商发展对农业生态环境质量的影响。","多期双重差分模型，卫星反演农业生态环境数据，电子商务进农村示范政策。","农村电商显著且持续提升农业生态环境质量，通过绿色生产和信息化实现。","可探究农村电商对农业碳排放、生物多样性等具体生态指标的异质性影响及空间溢出效应。","2026-10-02T11:53:16.323798Z"]