[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4728":3,"related-4728":70},{"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":54,"slug":57,"view_count":58,"doi":59,"paper":60,"created_at":69},4728,"中国农业食品系统中数字金融、绿色财政与绿色技术采纳耦合协调测度","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1947255\u002Ffull","基于2011至2023年30省份面板,采用熵权法与三系统耦合协调模型测度协调度,识别差异来源。结果显示耦合协调度由0.37升至0.71,东中西梯度格局持续,西部收敛最快。约束因素已由数字金融转向绿色财政支持与化肥利用效率",null,"Frontiers in Sustainable Food Systems 2026-10-07","2026-10-07T00:00:00Z","论文",10,false,77,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,13,6,1,"基于30省份11年面板数据的实证研究，方法规范、结论有新意，对农业绿色转型政策有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字金融","耦合协调","区域差异","农业绿色技术","绿色财政",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"unclassified","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":52,"reason":53},[37,42,47],{"code":38,"score":20,"supported":13,"title":39,"abstract":40,"tags":41},"G3",[],[],[25],{"code":43,"score":20,"supported":13,"title":44,"abstract":45,"tags":46},"H8",[],[],[28],{"code":48,"score":20,"supported":13,"title":49,"abstract":50,"tags":51},"I4",[],[],[26],true,"缺少足够的主题证据",[55,56],"农业食品系统 数字金融 绿色财政","农业绿色技术 采纳 耦合协调","农业食品系统数字金融绿色财政-4728",0,"10.3389\u002Ffsufs.2026.1947255\u002Ffull",{"doi":59,"openalex_id":8,"authors":61,"venue":8,"cited_by_count":58,"oa_url":8,"card":62,"direction":66,"ingested_from":68},[],{"tldr":63,"method":64,"finding":65,"direction":66,"opportunity":67},"测度中国农业食品系统中数字金融、绿色财政与绿色技术采纳的耦合协调度及其时空差异。","2011-2023年30省面板，熵权法与三系统耦合协调模型。","耦合协调度从0.37升至0.71，东中西梯度持续，西部收敛最快，约束转向绿色财政与化肥效率。","数字乡村与农业信息化","可深入探究绿色财政与化肥效率约束的微观机制，及数字金融对西部协调收敛的驱动路径。","agent","2026-10-12T00:11:14.377170Z",{"total":19,"page":20,"page_size":19,"items":71},[72,145,196,261,308,362],{"id":73,"title":74,"url":75,"summary":76,"summary_zh":77,"content":8,"source_name":78,"source_url":75,"published_at":10,"category":11,"cover_url":8,"hotness":79,"is_selected":13,"score":80,"score_detail":81,"sources":84,"tags":88,"primary_topic":91,"secondary_topics":97,"classification":98,"search_phrases":123,"slug":126,"view_count":20,"doi":127,"paper":128,"created_at":144},4414,"Coupling coordination of digital finance, green fiscal support, and green technology adoption in China's agri-food systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1947255","Whether agri-food systems can move toward lower emissions depends not just on how strong each enabling factor is, but on how well finance, public support, and production technology advance in step with one another. This study measures the coupling coordination degree among digital finance, green fiscal support, and agricultural green technology adoption across 30 Chinese provinces from 2011 to 2023, and traces its spatiotemporal patterns, regional disparities, convergence, and constraining factors. The entropy weight method and a three-system coupling coordination model are paired with Dagum Gini decomposition, convergence tests, and an obstacle-degree diagnosis. Coordination climbed from 0.37 to 0.71 across the period, shifting from mild imbalance toward intermediate coordination, yet an eastern–central–western gradient held throughout. Overall disparities narrowed, and gaps between regions made up close to 85% of the total. Coefficients of variation fell nationally and within each belt, both absolute and conditional convergence held, and the western region closed its gap fastest. Over time the binding constraint moved away from digital finance toward green fiscal support and fertilizer-use efficiency. Coordination and agricultural carbon intensity were negatively related, though the pattern reflects correlation rather than an identified causal effect. Together these results show where coordinated development falls short and what holds it back, giving some basis for regionally differentiated policy.","农业食物系统能否走向更低排放，不仅取决于各使能因素的强度，更取决于金融、公共支持与生产技术能否彼此同步推进。本研究测度了2011—2023年中国30个省份数字金融、绿色财政支持与农业绿色技术采纳之间的耦合协调度，并追踪其时空格局、区域差异、收敛性及制约因素。研究将熵权法与三系统耦合协调模型，同Dagum基尼分解、收敛检验及障碍度诊断相结合。协调度在此期间由0.37升至0.71，由轻度失衡转向中度协调，但东—中—西梯度始终存在。总体差异有所缩小，区域间差距约占总差异的85%。全国及各地带内变异系数均下降，绝对收敛与条件收敛均成立，西部地区追赶最快。随时间推移，主要约束已从数字金融转向绿色财政支持与化肥利用效率。协调度与农业碳排放强度呈负相关，但该格局反映的是相关关系，而非已识别的因果效应。上述结果共同揭示了协调发展不足所在及其制约因素，为区域差异化政策提供了一定依据。","Frontiers in Sustainable Food Systems",25,79,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":82,"relevant":20,"comment":83},8,"基于30省2011-2023年面板数据的耦合协调实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业动态，时效性一般。",[85,86],{"name":78,"url":75},{"name":87,"url":6},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Agricultural and Food Economics",[25,89,28,29,90],"区域协调","农业碳强度",{"code":92,"slug":93,"name":94,"path":95,"parent_code":96},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":99,"locked":13,"version":33,"method":34,"evidence":100},"classified",{"candidates":101,"agricultural_evidence":52},[102,108,115,119],{"code":92,"score":19,"supported":52,"title":103,"abstract":104,"tags":107},[],[105,106],"碳排放","农业碳",[],{"code":109,"score":110,"supported":52,"title":111,"abstract":112,"tags":114},"F3",3,[],[113],"fertilizer",[],{"code":38,"score":20,"supported":13,"title":116,"abstract":117,"tags":118},[],[],[25],{"code":43,"score":20,"supported":13,"title":120,"abstract":121,"tags":122},[],[],[28],[124,125],"数字金融 绿色财政 农业绿色技术","农业碳强度 耦合协调 省级","数字金融绿色财政农业绿色技术-4414","10.3389\u002Ffsufs.2026.1947255",{"doi":127,"openalex_id":129,"authors":130,"venue":78,"cited_by_count":58,"oa_url":136,"card":137,"direction":141,"ingested_from":143},"W7220858039",[131,133],{"name":132,"orcid":8},"Xiang Li",{"name":134,"orcid":135},"Jiarui Wu","https:\u002F\u002Forcid.org\u002F0000-0001-6305-1014","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1947255\u002Fpdf",{"tldr":138,"method":139,"finding":140,"direction":141,"opportunity":142},"测度中国30省2011-2023年数字金融、绿色财政与农业绿色技术采纳的耦合协调度及其时空演变。","熵权法、三系统耦合协调模型、Dagum基尼分解、收敛检验与障碍度诊断。","协调度由0.37升至0.71，呈东中西梯度，区域差距贡献约85%，约束由数字金融转向绿色财政与化肥效","农业绿色发展与碳","可进一步识别耦合协调对农业碳排放的因果效应，并探究西部追赶的驱动机制与差异化政策路径。","openalex","2026-10-08T23:30:07.529115Z",{"id":146,"title":147,"url":148,"summary":149,"summary_zh":8,"content":8,"source_name":150,"source_url":8,"published_at":151,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":152,"sources":154,"tags":156,"primary_topic":160,"secondary_topics":166,"classification":167,"search_phrases":184,"slug":187,"view_count":58,"doi":8,"paper":188,"created_at":195},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",{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":153},"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。",[155],{"name":150,"url":148},[157,158,26,27,159],"数字乡村","县域经济","老年照护",{"code":161,"slug":162,"name":163,"path":164,"parent_code":165},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":99,"locked":13,"version":33,"method":34,"evidence":168},{"candidates":169,"agricultural_evidence":52},[170,175,180],{"code":161,"score":171,"supported":52,"title":172,"abstract":173,"tags":174},12,[157],[157],[157],{"code":176,"score":20,"supported":13,"title":177,"abstract":178,"tags":179},"G4",[],[],[158],{"code":48,"score":20,"supported":13,"title":181,"abstract":182,"tags":183},[],[],[26],[185,186],"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":189,"venue":8,"cited_by_count":58,"oa_url":8,"card":190,"direction":66,"ingested_from":68},[],{"tldr":191,"method":192,"finding":193,"direction":66,"opportunity":194},"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":197,"title":198,"url":199,"summary":200,"summary_zh":201,"content":8,"source_name":78,"source_url":199,"published_at":202,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":203,"score_detail":204,"sources":208,"tags":210,"primary_topic":8,"secondary_topics":214,"classification":215,"search_phrases":245,"slug":248,"view_count":58,"doi":249,"paper":250,"created_at":260},5545,"Regional digital finance and food supply-chain management resilience: evidence on the regional-to-firm conversion gap in China’s emerging listed food enterprises","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948192","Food supply chains face climate shocks, logistics disruption, food-safety incidents and volatile demand, yet the relevance of regional digital finance for firm-level resilience remains uncertain. This study examines the association between a province-level digital-finance environment and an accounting-based food supply-chain resilience proxy among emerging listed food enterprises in China. Using public data for 122 eligible firms, we construct annual resistance, recovery and stability measures from revenue, operating cash flow and net margin; the common two-way fixed-effects sample contains 732 firm-year observations from 119 firms during 2017–2023. Regional digital finance is measured as a province-level external financial environment rather than firm-level digital transformation or adoption. Operational capability and regional consumption capacity are accounting- and province-level proxies and do not directly observe supplier coordination, traceability, cold-chain performance, or product-level demand. The preferred estimate is close to zero [beta = −0.005, SE = 0.063, 95% CI (−0.128, 0.117)]. Alternative covariance estimators, outcome definitions and timing specifications do not establish a stable positive within-firm association. The proxy-based operational-capability pathway and the conditional consumption-capacity association are likewise not established. Equivalence tests at 0.05 and 0.10 SCR-standard-deviation bounds are not significant, and the approximate 80% minimum detectable effect is 1.575 SCR standard deviations. The evidence therefore cannot distinguish a small contextual association from limited within-firm statistical precision. The findings support a bounded regional-to-firm conversion interpretation: regional finance may widen resource availability, but whether it is associated with resilience depends on unobserved operational conversion routines and food-sector coordination conditions.","食品供应链面临气候冲击、物流中断、食品安全事件和需求波动，但区域数字金融与企业层面韧性之间的关联仍不确定。本研究考察省级数字金融环境与中国新兴上市食品企业基于会计的食品供应链韧性代理指标之间的关联。利用122家合格企业的公开数据，我们从营业收入、经营现金流和净利润率构建年度抵抗能力、恢复能力和稳定性指标；共同双向固定效应样本包含2017—2023年间119家企业的732个企业—年度观测值。区域数字金融被衡量为省级外部金融环境，而非企业层面的数字化转型或采用。运营能力和区域消费能力为会计层面和省级层面的代理变量，并不直接观测供应商协调、可追溯性、冷链绩效或产品层面需求。首选估计值接近于零[beta = −0.005，SE = 0.063，95% CI（−0.128，0.117）]。替代协方差估计量、结果定义和时序设定均未能确立稳定的企业内正向关联。基于代理变量的运营能力路径和条件性消费能力关联同样未能确立。在0.05和0.10个SCR标准差边界上的等价性检验不显著，约80%的最小可检测效应为1.575个SCR标准差。因此，证据无法区分微小的情境性关联与有限的企业内统计精度。研究结果支持有界的情境到企业转化解释：区域金融可能拓宽资源可得性，但其是否与韧性相关联取决于未观测到的运营转化惯例和食品行业协调条件。","2026-10-21T00:00:00Z",69,{"impact":82,"substance":205,"depth":206,"authority":18,"freshness":12,"relevant":20,"comment":207},21,17,"基于122家上市食品企业的严谨实证研究，发现区域数字金融与企业韧性关联接近于零，对数字乡村金融政策有边界性提示价值，但属细分学术结论，公共影响有限。",[209],{"name":78,"url":199},[157,25,211,212,213],"供应链韧性","农业企业","食品供应链",[],{"status":216,"locked":13,"version":33,"method":34,"evidence":217},"needs_review",{"candidates":218,"agricultural_evidence":13,"reason":244},[219,225,231,236,240],{"code":220,"score":110,"supported":52,"title":221,"abstract":222,"tags":224},"E3",[],[223],"冷链",[],{"code":226,"score":110,"supported":52,"title":227,"abstract":228,"tags":230},"E4",[],[229],"食品安全",[],{"code":232,"score":20,"supported":13,"title":233,"abstract":234,"tags":235},"G2",[],[],[212],{"code":38,"score":20,"supported":13,"title":237,"abstract":238,"tags":239},[],[],[25],{"code":161,"score":20,"supported":13,"title":241,"abstract":242,"tags":243},[],[],[157],"农业相关性需要复核",[246,247],"区域数字金融 食品供应链韧性","中国上市食品企业 供应链韧性","区域数字金融食品供应链韧性-5545","10.3389\u002Ffsufs.2026.1948192",{"doi":249,"openalex_id":251,"authors":252,"venue":78,"cited_by_count":58,"oa_url":199,"card":255,"direction":66,"ingested_from":143},"W7223086503",[253],{"name":254,"orcid":8},"Jieyu Zhao",{"tldr":256,"method":257,"finding":258,"direction":66,"opportunity":259},"检验省级数字金融环境与中国新兴上市食品企业供应链韧性之间的关系。","基于122家上市食品企业2017–2023年公开数据，构建双向固定效应模型与等价","区域数字金融与企业供应链韧性无稳定正相关，估计值接近零且不显著。","可研究区域金融资源如何经企业运营惯例转化为供应链韧性，并补充冷链、溯源等微观数据。","2026-10-22T11:20:15.297878Z",{"id":262,"title":263,"url":264,"summary":265,"summary_zh":8,"content":8,"source_name":266,"source_url":8,"published_at":267,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":268,"score_detail":269,"sources":272,"tags":274,"primary_topic":8,"secondary_topics":278,"classification":279,"search_phrases":295,"slug":298,"view_count":58,"doi":299,"paper":300,"created_at":307},5530,"农户参与契约链与数字链的程度与耦合协调：来自中国农户的证据","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1057\u002Fs41599-026-09019-5","基于中国农村振兴调查数据，构建熵权法指数体系测量农户参与契约链与数字链的深度，并用耦合协调模型评估二者互动。结果显示两类链条参与水平均偏低，数字链参与普遍高于契约链，耦合协调度处于「轻微不协调」区间；东部数字链参与较高但契约链较弱导致协调度偏低，南部地区因双重优势协调度更高。","Humanities and Social Sciences Communications 2026-10-16","2026-10-16T00:00:00Z",78,{"impact":16,"substance":17,"depth":16,"authority":270,"freshness":19,"relevant":20,"comment":271},14,"基于全国农户调查的实证研究，揭示契约链与数字链参与偏低及区域协调差异，对数字乡村建设有参考价值。",[273],{"name":266,"url":264},[275,157,26,276,277],"农村电商","农户参与","契约农业",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":280},{"candidates":281,"agricultural_evidence":52,"reason":53},[282,287,291],{"code":283,"score":20,"supported":13,"title":284,"abstract":285,"tags":286},"E5",[],[],[275],{"code":48,"score":20,"supported":13,"title":288,"abstract":289,"tags":290},[],[],[26],{"code":161,"score":20,"supported":13,"title":292,"abstract":293,"tags":294},[],[],[157],[296,297],"中国农户 契约链 数字链","农村振兴调查 耦合协调","中国农户契约链数字链-5530","10.1057\u002Fs41599-026-09019-5",{"doi":299,"openalex_id":8,"authors":301,"venue":8,"cited_by_count":58,"oa_url":8,"card":302,"direction":66,"ingested_from":68},[],{"tldr":303,"method":304,"finding":305,"direction":66,"opportunity":306},"基于中国农户调查数据，测度农户参与契约链与数字链的程度及其耦合协调关系。","中国农村振兴调查数据，熵权法构建指数，耦合协调模型评估互动。","两类链条参与均偏低，数字链高于契约链，耦合协调度处于轻微不协调区间。","可探究数字链领先而契约链滞后的成因，及区域差异下提升耦合协调的干预路径。","2026-10-22T00:07:09.568955Z",{"id":309,"title":310,"url":311,"summary":312,"summary_zh":8,"content":8,"source_name":313,"source_url":8,"published_at":314,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":268,"score_detail":315,"sources":317,"tags":319,"primary_topic":324,"secondary_topics":329,"classification":330,"search_phrases":350,"slug":353,"view_count":58,"doi":8,"paper":354,"created_at":361},5299,"刘宝涛等《统计与决策》:数字农业与粮食绿色生产效率的耦合协调特征及障碍机制","https:\u002F\u002Fguoyanwang.clcn.net.cn\u002FDRCNet.Mirror.Documents.Web\u002FDocSummary.aspx?DocID=8315929&leafID=18927","吉林农业大学经济管理学院刘宝涛副教授等基于2011—2023年中国31个省份面板数据,运用熵权TOPSIS法、超效率SBM模型测算数字农业发展水平和粮食绿色生产效率;研究期内数字农业发展水平呈\"小幅波动、平稳上升\"时序演化趋势,空间格局呈东南高、西北低、中部均衡;耦合协调度表现为波动上升趋势、由失调衰退向协调发展;粮食产量、科学研究和技术服务业固定资产投资额是主要障碍因子。","统计与决策(2026,11)","2026-10-15T00:00:00Z",{"impact":16,"substance":17,"depth":16,"authority":270,"freshness":19,"relevant":20,"comment":316},"基于31省11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，公共影响有限，可入精选但非头条。",[318],{"name":313,"url":311},[320,321,322,26,323],"数字农业","农业信息化","粮食安全","绿色生产",{"code":325,"slug":326,"name":327,"path":328,"parent_code":165},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":99,"locked":13,"version":33,"method":34,"evidence":331},{"candidates":332,"agricultural_evidence":52},[333,337,342,346],{"code":325,"score":18,"supported":52,"title":334,"abstract":335,"tags":336},[320],[320],[321,320],{"code":338,"score":20,"supported":13,"title":339,"abstract":340,"tags":341},"A8",[],[],[322],{"code":43,"score":20,"supported":13,"title":343,"abstract":344,"tags":345},[],[],[323],{"code":48,"score":20,"supported":13,"title":347,"abstract":348,"tags":349},[],[],[26],[351,352],"刘宝涛 数字农业 粮食绿色生产效率","吉林农业大学 数字农业 耦合协调","刘宝涛数字农业粮食绿色生产效率-5299",{"doi":8,"openalex_id":8,"authors":355,"venue":8,"cited_by_count":58,"oa_url":8,"card":356,"direction":141,"ingested_from":68},[],{"tldr":357,"method":358,"finding":359,"direction":141,"opportunity":360},"测度2011—2023年中国31省数字农业与粮食绿色生产效率的耦合协调及障碍因子。","熵权TOPSIS法、超效率SBM模型，31省面板数据。","耦合协调度波动上升、由失调转向协调；粮食产量与科研投资是主要障碍因子。","可深入探究障碍因子的省际异质性与动态传导机制，并检验数字农业对绿色效率的门槛或空间溢出效应。","2026-10-19T00:07:48.451681Z",{"id":363,"title":364,"url":365,"summary":366,"summary_zh":8,"content":8,"source_name":367,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":79,"is_selected":13,"score":14,"score_detail":368,"sources":371,"tags":375,"primary_topic":378,"secondary_topics":383,"classification":384,"search_phrases":412,"slug":415,"view_count":19,"doi":416,"paper":417,"created_at":428},4969,"Digital technology, agricultural resilience, and food security: A mini review","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.2002109\u002Ffull","Shen在《Frontiers in Sustainable Food Systems》(2026)发表的综述综合了国际数字农业文献与中国'数字经济—农业经济韧性'研究两条主线。提出三点发现:一是数字技术通过不同机制强化食物安全的四个维度——可获得性(生产力与投入效率)、可及性(市场信息与数字金融)、稳定性(溯源、预警与保险)、利用性(溯源、营养信息与移动支付);二是准自然实验证据显示数字基础设施、数字金融和人工智能主要通过社会化服务、土地流转、产业融合、人力资本而非仅'采纳'提升粮食生产与价值链韧性;三是收益分布不均,空间溢出方向取决于吸收能力、市场整合与要素流动性。","Frontiers in Sustainable Food Systems 2026",{"impact":17,"substance":205,"depth":16,"authority":270,"freshness":369,"relevant":20,"comment":370},2,"核心期刊综述，系统梳理数字技术强化粮食安全四维度的机制与准自然实验证据，兼具国际文献与中国经验，但发布日期不明、时效性偏弱，适合作为主题页深度聚合素材。",[372,373],{"name":367,"url":365},{"name":78,"url":374},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.2002109",[320,322,376,377,25],"农业韧性","空间溢出",{"code":338,"slug":379,"name":380,"path":381,"parent_code":382},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":99,"locked":13,"version":33,"method":34,"evidence":385},{"candidates":386,"agricultural_evidence":52},[387,393,399,404,408],{"code":338,"score":388,"supported":52,"title":389,"abstract":391,"tags":392},9,[390],"food security",[],[322],{"code":232,"score":19,"supported":52,"title":394,"abstract":395,"tags":398},[],[396,397],"土地流转","社会化服务",[],{"code":325,"score":400,"supported":52,"title":401,"abstract":402,"tags":403},4,[],[320],[320],{"code":38,"score":20,"supported":13,"title":405,"abstract":406,"tags":407},[],[],[25],{"code":48,"score":20,"supported":13,"title":409,"abstract":410,"tags":411},[],[],[377],[413,414],"Frontiers in Sustainable Food Systems 数字农业","数字技术 农业韧性 粮食安全","FrontiersinSustainableFoodSystems数字农业-4969","10.3389\u002Ffsufs.2026.2002109\u002Ffull",{"doi":416,"openalex_id":418,"authors":419,"venue":78,"cited_by_count":58,"oa_url":374,"card":423,"direction":66,"ingested_from":143},"W7223134273",[420],{"name":421,"orcid":422},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915",{"tldr":424,"method":425,"finding":426,"direction":66,"opportunity":427},"综述数字技术通过多机制强化食物安全四维度并提升农业韧性，但收益分布不均。","综合国际数字农业文献与中国数字经济—农业经济韧性研究两条主线。","数字技术经社会化服务、土地流转等提升韧性，收益不均且空间溢出取决于吸收能力。","可探究数字技术收益不均的成因及吸收能力、市场整合对空间溢出方向的调节机制。","2026-10-15T00:06:08.890950Z"]