[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3752":3,"related-3752":64},{"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":48,"slug":51,"view_count":52,"doi":8,"paper":53,"created_at":63},3752,"供应链金融对涉农企业数字化转型的影响研究","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165851.html","杜雨潼、邓琳钰、王定祥（西南大学）基于2008—2023年沪深A股上市涉农企业数据，构建多时点双重差分模型。供应链金融显著促进涉农企业数字化转型，通过融资约束缓解效应和产业链协同效应实现。异质性表现在企业行业类型、供应链配置、经营风险及地区数字金融发展方面。",null,"农林经济管理学报","2026-01-15T00:00:00Z","论文",10,false,74,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,2,1,"核心期刊实证研究，方法规范、结论有新意，但发表已逾八个月，时效性不足，适合主题聚合而非每日精选。",[23],{"name":9,"url":6},[25,26,27,28,29],"农业产业链","数字金融","数字化转型","涉农企业","供应链金融",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"needs_review","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":13,"reason":47},[37,42],{"code":38,"score":20,"supported":13,"title":39,"abstract":40,"tags":41},"G3",[],[],[26],{"code":43,"score":20,"supported":13,"title":44,"abstract":45,"tags":46},"I1",[],[],[27],"农业相关性需要复核",[49,50],"西南大学 涉农企业 数字化转型","供应链金融 涉农企业 融资约束","西南大学涉农企业数字化转型-3752",4,{"doi":8,"openalex_id":8,"authors":54,"venue":8,"cited_by_count":55,"oa_url":8,"card":56,"direction":60,"ingested_from":62},[],0,{"tldr":57,"method":58,"finding":59,"direction":60,"opportunity":61},"基于2008—2023年A股涉农上市企业数据，检验供应链金融对涉农企业数字化转型的促进作用。","多时点双重差分模型，沪深A股涉农上市企业面板数据。","供应链金融显著促进涉农企业数字化转型，通过缓解融资约束与产业链协同实现。","数字乡村与农业信息化","可探究供应链金融与数字金融协同对中小涉农企业转型的异质性影响及作用机制。","agent","2026-09-29T00:08:26.970176Z",{"total":65,"page":20,"page_size":65,"items":66},6,[67,124,189,231,296,349],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":8,"content":8,"source_name":72,"source_url":8,"published_at":73,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":74,"score_detail":75,"sources":80,"tags":82,"primary_topic":84,"secondary_topics":90,"classification":91,"search_phrases":111,"slug":114,"view_count":115,"doi":8,"paper":116,"created_at":123},3449,"《涉农企业数字化转型研究综述——基于动力机制、实现路径与转型效应的分析》","https:\u002F\u002Fguoyanwang.clcn.net.cn\u002FDRCNet.Mirror.Documents.Web\u002FDocSummary.aspx?DocID=8314464&leafID=24234","湖南农业大学商学院易琬怡综述涉农企业数字化转型研究：动力机制方面研究关注外部制度压力与内部战略需求如何共同推动转型，也注意到融资约束、人才不足、管理者认知偏差等因素形成的阻力；实现路径方面研究归纳出技术应用、组织变革、商业模式创新与产业链协同等主要路径；转型效应方面研究聚焦效率提升、价值创造与粮食安全保障等维度。已有研究在理论框架构建、影响因素识别与效应评估方面取得进展，但在理论整合、中小经营主体关注、动态过程追踪等方面仍有不足。","《农村经济与科技》2026年第9期","2026-09-20T00:00:00Z",56,{"impact":76,"substance":18,"depth":77,"authority":78,"freshness":65,"relevant":20,"comment":79},8,15,13,"核心期刊综述，梳理涉农企业数字化转型的动力、路径与效应，有学术参考价值但非时效性资讯，适合主题聚合而非每日精选。",[81],{"name":72,"url":70},[83,25,27,28],"数字乡村",{"code":85,"slug":86,"name":87,"path":88,"parent_code":89},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":92,"locked":13,"version":33,"method":34,"evidence":93},"classified",{"candidates":94,"agricultural_evidence":97},[95,102,106],{"code":85,"score":96,"supported":97,"title":98,"abstract":99,"tags":101},3,true,[],[100],"粮食安全",[],{"code":43,"score":20,"supported":13,"title":103,"abstract":104,"tags":105},[],[],[27],{"code":107,"score":20,"supported":13,"title":108,"abstract":109,"tags":110},"I6",[],[],[83],[112,113],"涉农企业 数字化转型","湖南农业大学 易琬怡 涉农企业","涉农企业数字化转型-3449",5,{"doi":8,"openalex_id":8,"authors":117,"venue":8,"cited_by_count":55,"oa_url":8,"card":118,"direction":60,"ingested_from":62},[],{"tldr":119,"method":120,"finding":121,"direction":60,"opportunity":122},"综述涉农企业数字化转型的动力机制、实现路径与转型效应，并指出研究不足。","文献综述法，梳理动力、路径与效应三方面研究。","已有研究在理论框架、影响因素与效应评估上有进展，但理论整合与动态追踪不足。","可聚焦中小涉农主体转型、动态过程追踪与理论整合，填补现有研究空白。","2026-09-25T00:09:34.790772Z",{"id":125,"title":126,"url":127,"summary":128,"summary_zh":129,"content":8,"source_name":130,"source_url":127,"published_at":131,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":132,"score_detail":133,"sources":137,"tags":139,"primary_topic":8,"secondary_topics":143,"classification":144,"search_phrases":172,"slug":175,"view_count":55,"doi":176,"paper":177,"created_at":188},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。","Frontiers in Sustainable Food Systems","2026-10-21T00:00:00Z",69,{"impact":76,"substance":134,"depth":135,"authority":78,"freshness":12,"relevant":20,"comment":136},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。",[138],{"name":130,"url":127},[83,26,140,141,142],"供应链韧性","农业企业","食品供应链",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":145},{"candidates":146,"agricultural_evidence":13,"reason":47},[147,153,159,164,168],{"code":148,"score":96,"supported":97,"title":149,"abstract":150,"tags":152},"E3",[],[151],"冷链",[],{"code":154,"score":96,"supported":97,"title":155,"abstract":156,"tags":158},"E4",[],[157],"食品安全",[],{"code":160,"score":20,"supported":13,"title":161,"abstract":162,"tags":163},"G2",[],[],[141],{"code":38,"score":20,"supported":13,"title":165,"abstract":166,"tags":167},[],[],[26],{"code":107,"score":20,"supported":13,"title":169,"abstract":170,"tags":171},[],[],[83],[173,174],"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":176,"openalex_id":178,"authors":179,"venue":130,"cited_by_count":55,"oa_url":127,"card":182,"direction":60,"ingested_from":187},"W7223086503",[180],{"name":181,"orcid":8},"Jieyu Zhao",{"tldr":183,"method":184,"finding":185,"direction":60,"opportunity":186},"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。","openalex","2026-10-22T11:20:15.297878Z",{"id":190,"title":191,"url":192,"summary":193,"summary_zh":8,"content":8,"source_name":194,"source_url":8,"published_at":195,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":196,"score_detail":197,"sources":199,"tags":201,"primary_topic":205,"secondary_topics":210,"classification":211,"search_phrases":219,"slug":222,"view_count":20,"doi":8,"paper":223,"created_at":230},5061,"国家数字乡村试点政策能否促进农业产业链和创新链融合发展","http:\u002F\u002Fjsjj.ijournals.cn\u002Ftechnology_economics\u002Fhome","鄢城名在《科学技术与工程》2026-10-14优先出版的研究,将国家数字乡村试点政策作为准自然实验,依托2016-2024年766个县(县级市、区)的面板数据,借助多期双重差分模型与中介效应模型,实证检验国家数字乡村试点政策对农业产业链和创新链融合发展的影响效应及中介效应。研究发现:国家数字乡村试点政策可正向促进农业产业链和创新链融合发展,且该结果经由系列稳健性检验后证实具有稳健性;中介效应检验发现,数据要素配置、耐心资本投入是核心中介变量;异质性检验发现,试点政策对低海拔、劳动力规模较大地区的促进效应更强。研究结论可为稳步推动农业产业链和创新链融合发展提供实践参考。","《科学技术与工程》优先出版 2026-10-14","2026-10-14T00:00:00Z",84,{"impact":17,"substance":17,"depth":16,"authority":18,"freshness":76,"relevant":20,"comment":198},"基于766个县面板数据的准自然实验研究，方法规范、结论稳健，对数字乡村与产业链创新链融合政策有实证参考价值。",[200],{"name":194,"url":192},[83,202,25,203,204],"数据要素","创新链融合","耐心资本",{"code":107,"slug":206,"name":207,"path":208,"parent_code":209},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":92,"locked":13,"version":33,"method":34,"evidence":212},{"candidates":213,"agricultural_evidence":97},[214],{"code":107,"score":215,"supported":97,"title":216,"abstract":217,"tags":218},16,[83],[83,202],[83,202],[220,221],"国家数字乡村试点 农业产业链 创新链","数字乡村试点 县域面板数据","国家数字乡村试点农业产业链创新链-5061",{"doi":8,"openalex_id":8,"authors":224,"venue":8,"cited_by_count":55,"oa_url":8,"card":225,"direction":60,"ingested_from":62},[],{"tldr":226,"method":227,"finding":228,"direction":60,"opportunity":229},"以国家数字乡村试点为准自然实验，检验政策对农业产业链与创新链融合的促进效应。","2016-2024年766县面板数据，多期双重差分与中介效应模型。","试点政策显著促进两链融合，数据要素配置与耐心资本投入是核心中介。","可探究数据要素与耐心资本如何协同驱动两链融合，并关注高海拔与劳动力不足地区的差异化政策设计。","2026-10-16T00:14:00.876540Z",{"id":232,"title":233,"url":234,"summary":235,"summary_zh":8,"content":8,"source_name":236,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":237,"is_selected":13,"score":238,"score_detail":239,"sources":241,"tags":245,"primary_topic":249,"secondary_topics":250,"classification":251,"search_phrases":279,"slug":282,"view_count":65,"doi":283,"paper":284,"created_at":295},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",25,77,{"impact":17,"substance":134,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":240},"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。",[242,243],{"name":236,"url":234},{"name":130,"url":244},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.2002109",[246,100,247,248,26],"数字农业","农业韧性","空间溢出",{"code":85,"slug":86,"name":87,"path":88,"parent_code":89},[],{"status":92,"locked":13,"version":33,"method":34,"evidence":252},{"candidates":253,"agricultural_evidence":97},[254,260,266,270,274],{"code":85,"score":255,"supported":97,"title":256,"abstract":258,"tags":259},9,[257],"food security",[],[100],{"code":160,"score":65,"supported":97,"title":261,"abstract":262,"tags":265},[],[263,264],"土地流转","社会化服务",[],{"code":43,"score":52,"supported":97,"title":267,"abstract":268,"tags":269},[],[246],[246],{"code":38,"score":20,"supported":13,"title":271,"abstract":272,"tags":273},[],[],[26],{"code":275,"score":20,"supported":13,"title":276,"abstract":277,"tags":278},"I4",[],[],[248],[280,281],"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":283,"openalex_id":285,"authors":286,"venue":130,"cited_by_count":55,"oa_url":244,"card":290,"direction":60,"ingested_from":187},"W7223134273",[287],{"name":288,"orcid":289},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915",{"tldr":291,"method":292,"finding":293,"direction":60,"opportunity":294},"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",{"id":297,"title":298,"url":299,"summary":300,"summary_zh":301,"content":8,"source_name":302,"source_url":299,"published_at":303,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":55,"score_detail":304,"sources":306,"tags":308,"primary_topic":8,"secondary_topics":311,"classification":312,"search_phrases":326,"slug":329,"view_count":55,"doi":330,"paper":331,"created_at":348},4882,"A systematic review of digital twins as decision support systems: a classification framework and identification of organisational constraints","https:\u002F\u002Fdoi.org\u002F10.31224\u002F8420","Digital twins (DTs) are increasingly framed as decision support systems (DSSs), yet no framework has systematically examined how DT configuration shapes the decision support they provide. This study presents a systematic literature review of 299 studies from four databases, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to examine how DT configuration influences decision support and value realisation. We develop a four-dimensional classification framework comprising abstraction level, DSS mechanism, decision level, and value type, and statistically test the relationships between these dimensions. The results show that DTs support decisions through four distinct mechanisms that differ in how information flows and how involved the decision maker remains. Model-driven DTs, which compute answers through embedded models, take on more of the reasoning themselves, whereas knowledge-driven DTs, which let users explore scenarios, keep decision makers actively involved. Whether a DT delivers value depends on organisational conditions as much as on its technical capability. Fully automated decisions are rare and occur mainly in model-driven DTs, suggesting that governance and accountability, rather than technology, limit automation. Model-driven DTs are also seldom used for long-term strategic decisions, as are DTs that represent only a single component rather than a wider system or enterprise. These patterns have been stable over time and do not appear to be driven by the uneven spread of studies across industries. Overall, the findings indicate that DT value depends on alignment with organisational decision contexts rather than technical sophistication alone. This paper highlights organisational and governance factors that cannot be captured by purely technical analyses.","数字孪生(DTs)日益被定位为决策支持系统(DSSs)，然而尚无框架系统性地考察数字孪生配置如何塑造其提供的决策支持。本研究对来自四个数据库的299项研究进行了系统性文献综述，采用系统综述和荟萃分析首选报告条目(PRISMA)来考察数字孪生配置如何影响决策支持与价值实现。我们构建了一个包含抽象层次、决策支持系统机制、决策层次和价值类型四个维度的分类框架，并对这些维度之间的关系进行了统计检验。结果表明，数字孪生通过四种不同的机制支持决策，这些机制在信息流动方式以及决策者的参与程度上存在差异。模型驱动的数字孪生通过内嵌模型计算答案，自身承担了更多推理工作；而知识驱动的数字孪生允许用户探索情景，使决策者保持积极参与。数字孪生能否创造价值，既取决于其技术能力，也取决于组织条件。完全自动化的决策较为罕见，且主要出现在模型驱动的数字孪生中，这表明限制自动化的是治理与问责机制，而非技术本身。模型驱动的数字孪生也很少用于长期战略决策，仅表征单一组件而非更广泛系统或企业的数字孪生同样如此。这些模式随时间保持稳定，且似乎并非由各行业研究分布不均所驱动。总体而言，研究结果表明，数字孪生的价值取决于其与组织决策情境的匹配，而非仅取决于技术先进性。本文强调了纯技术分析无法捕捉的组织与治理因素。","OpenAlex","2026-10-12T00:00:00Z",{"impact":55,"substance":55,"depth":55,"authority":55,"freshness":55,"relevant":55,"comment":305},"数字孪生决策支持的系统综述属通用工业管理研究，未涉及三农或农业信息化场景，与平台主题不相关。",[307],{"name":302,"url":299},[309,310,27],"数字孪生","决策支持系统",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":313},{"candidates":314,"agricultural_evidence":13,"reason":47},[315,322],{"code":316,"score":317,"supported":97,"title":318,"abstract":320,"tags":321},"I2",12,[319],"decision support",[319],[310],{"code":43,"score":115,"supported":97,"title":323,"abstract":324,"tags":325},[],[309],[27,309],[327,328],"决策支持系统 数字化转型 数字孪生","决策支持系统 数字化转型","决策支持系统数字化转型数字孪生-4882","10.31224\u002F8420",{"doi":330,"openalex_id":332,"authors":333,"venue":8,"cited_by_count":55,"oa_url":340,"card":341,"direction":347,"ingested_from":187},"W7221510147",[334,337],{"name":335,"orcid":336},"Hoong Hao Yap","https:\u002F\u002Forcid.org\u002F0009-0007-0471-4253",{"name":338,"orcid":339},"Karel Kruger","https:\u002F\u002Forcid.org\u002F0000-0003-0932-2850","https:\u002F\u002Fengrxiv.org\u002Fpreprint\u002Fdownload\u002F8420\u002F13792\u002F12005",{"tldr":342,"method":343,"finding":344,"direction":345,"opportunity":346},"系统综述299项研究，构建数字孪生作为决策支持系统的四维分类框架并识别组织约束。","PRISMA系统综述299篇文献，四维分类框架与统计检验。","数字孪生价值取决于组织决策情境匹配，而非技术先进性；全自动决策罕见。","农业人工智能与决策模型","农业数字孪生决策支持的组织与治理约束研究尚缺，可探索农户采纳与责任机制。","智慧农业 \u002F 农业物联网","2026-10-14T23:30:10.302822Z",{"id":350,"title":351,"url":352,"summary":353,"summary_zh":8,"content":8,"source_name":354,"source_url":8,"published_at":355,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":238,"score_detail":356,"sources":358,"tags":360,"primary_topic":8,"secondary_topics":365,"classification":366,"search_phrases":384,"slug":387,"view_count":55,"doi":388,"paper":389,"created_at":396},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","Frontiers in Sustainable Food Systems 2026-10-07","2026-10-07T00:00:00Z",{"impact":16,"substance":17,"depth":16,"authority":78,"freshness":65,"relevant":20,"comment":357},"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。",[359],{"name":354,"url":352},[26,361,362,363,364],"耦合协调","区域差异","农业绿色技术","绿色财政",[],{"status":367,"locked":13,"version":33,"method":34,"evidence":368},"unclassified",{"candidates":369,"agricultural_evidence":97,"reason":383},[370,374,379],{"code":38,"score":20,"supported":13,"title":371,"abstract":372,"tags":373},[],[],[26],{"code":375,"score":20,"supported":13,"title":376,"abstract":377,"tags":378},"H8",[],[],[363],{"code":275,"score":20,"supported":13,"title":380,"abstract":381,"tags":382},[],[],[361],"缺少足够的主题证据",[385,386],"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","10.3389\u002Ffsufs.2026.1947255\u002Ffull",{"doi":388,"openalex_id":8,"authors":390,"venue":8,"cited_by_count":55,"oa_url":8,"card":391,"direction":60,"ingested_from":62},[],{"tldr":392,"method":393,"finding":394,"direction":60,"opportunity":395},"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。","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。","2026-10-12T00:11:14.377170Z"]