[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3088":3,"related-3088":79},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":25,"classification":26,"search_phrases":53,"slug":56,"view_count":57,"doi":58,"paper":59,"created_at":78},3088,"A Hybrid COBIT 2019–RAG Framework to Enhance Consumer Protection Compliance in Digital Finance","https:\u002F\u002Fdoi.org\u002F10.26877\u002Fasset.v8i4.2088","The rapid growth of digital financial services has increased the need for effective regulatory compliance mechanisms, particularly for consumer protection. This study develops and evaluates a hybrid COBIT 2019–Retrieval-Augmented Generation (RAG) framework for compliance with Indonesia’s OJK Regulation No. 22\u002F2023 in a digital multifinance context. Using a design science research methodology, COBIT 2019 design factors were applied to tailor governance objectives, while a RAG pipeline was evaluated on 100 synthetic compliance queries using RAGAS metrics and expert-validated reference answers. The governance assessment prioritized EDM03, APO12, and MEA03, each assessed at capability Level 2 against a target of Level 4, indicating gaps in risk optimization, risk management, and external compliance. The optimal RAG configuration achieved an overall score of 0.8257, with context recall of 0.9217, faithfulness of 0.8502, and semantic similarity of 0.8629. It also outperformed baseline keyword search in retrieving semantically relevant regulatory passages, although broader benchmarking remains limited. The findings show that integrating structured IT governance with AI-assisted regulatory retrieval can strengthen accountability, regulatory interpretation, and compliance decision support. The framework offers a scalable approach for regulated industries, subject to further validation using real operational data and broader institutional settings.","数字金融服务的快速增长，提升了对有效监管合规机制的需求，尤其是在消费者保护方面。本研究开发并评估了一个融合COBIT 2019与检索增强生成（Retrieval-Augmented Generation, RAG）的混合框架，用于在数字多金融（multifinance）场景下遵守印度尼西亚OJK第22\u002F2023号条例。采用设计科学研究方法，应用COBIT 2019设计因子来定制治理目标，同时使用RAGAS指标和专家验证的参考答案，在100条合成合规查询上评估了一条RAG流水线。治理评估优先考虑EDM03、APO12和MEA03，三者均被评定为能力等级2，而目标为等级4，表明在风险优化、风险管理和外部合规方面存在差距。最优RAG配置的总体得分为0.8257，其中上下文召回率为0.9217，忠实度为0.8502，语义相似度为0.8629。在检索语义相关的监管段落方面，它也优于基线关键词搜索，尽管更广泛的基准测试仍然有限。研究结果表明，将结构化IT治理与AI辅助的监管检索相结合，可以加强问责制、监管解释和合规决策支持。该框架为受监管行业提供了一种可扩展的方法，但仍有待使用真实运营数据和更广泛的制度环境进行进一步验证。",null,"Advance Sustainable Science Engineering and Technology","2026-09-18T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究数字金融消费者保护合规的IT治理与RAG框架，与三农、农业信息化无关，不予入选。",[19],{"name":10,"url":6},[21,22,23,24],"RAG","数字金融","合规科技","IT治理",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":30},"needs_review","2026-10-22.2","rules",{"candidates":31,"agricultural_evidence":14,"reason":52},[32,40,46],{"code":33,"score":34,"supported":35,"title":36,"abstract":37,"tags":39},"I2",3,true,[],[38],"decision support",[],{"code":41,"score":34,"supported":35,"title":42,"abstract":43,"tags":45},"I7",[],[44],"研究方法",[],{"code":47,"score":48,"supported":14,"title":49,"abstract":50,"tags":51},"G3",1,[],[],[22],"农业相关性需要复核",[54,55],"COBIT 2019 RAG 合规","OJK 22 2023 消费者保护","COBIT2019RAG合规-3088",2,"10.26877\u002Fasset.v8i4.2088",{"doi":58,"openalex_id":60,"authors":61,"venue":10,"cited_by_count":15,"oa_url":70,"card":71,"direction":75,"ingested_from":77},"W7213555882",[62,65,67],{"name":63,"orcid":64},"Edy Salim","https:\u002F\u002Forcid.org\u002F0009-0007-6264-0117",{"name":66,"orcid":9},"Mohammad Achmad Amin Soetomo",{"name":68,"orcid":69},"Eka Budiarto","https:\u002F\u002Forcid.org\u002F0009-0000-6642-260X","https:\u002F\u002Fjournal2.upgris.ac.id\u002Findex.php\u002Fasset\u002Farticle\u002Fdownload\u002F2088\u002F1736",{"tldr":72,"method":73,"finding":74,"direction":75,"opportunity":76},"构建COBIT 2019与RAG混合框架，提升数字金融消费者保护合规能力。","设计科学研究法，COBIT 2019设计因子与RAG管道，100条合成合规查询及","治理目标存在能力差距，最优RAG配置得分0.8257，优于关键词检索。","农业人工智能与决策模型","可将该混合治理与RAG框架迁移至农业数字金融或农业数据合规场景，探索领域适配与真实数据验证。","openalex","2026-09-21T23:30:45.181565Z",{"total":80,"page":48,"page_size":80,"items":81},6,[82,151,228,277,340,407],{"id":83,"title":84,"url":85,"summary":86,"summary_zh":87,"content":9,"source_name":88,"source_url":85,"published_at":89,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":90,"score_detail":91,"sources":97,"tags":99,"primary_topic":9,"secondary_topics":104,"classification":105,"search_phrases":134,"slug":137,"view_count":15,"doi":138,"paper":139,"created_at":150},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":92,"substance":93,"depth":94,"authority":95,"freshness":13,"relevant":48,"comment":96},8,21,17,13,"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。",[98],{"name":88,"url":85},[100,22,101,102,103],"数字乡村","供应链韧性","农业企业","食品供应链",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":106},{"candidates":107,"agricultural_evidence":14,"reason":52},[108,114,120,125,129],{"code":109,"score":34,"supported":35,"title":110,"abstract":111,"tags":113},"E3",[],[112],"冷链",[],{"code":115,"score":34,"supported":35,"title":116,"abstract":117,"tags":119},"E4",[],[118],"食品安全",[],{"code":121,"score":48,"supported":14,"title":122,"abstract":123,"tags":124},"G2",[],[],[102],{"code":47,"score":48,"supported":14,"title":126,"abstract":127,"tags":128},[],[],[22],{"code":130,"score":48,"supported":14,"title":131,"abstract":132,"tags":133},"I6",[],[],[100],[135,136],"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":138,"openalex_id":140,"authors":141,"venue":88,"cited_by_count":15,"oa_url":85,"card":144,"direction":148,"ingested_from":77},"W7223086503",[142],{"name":143,"orcid":9},"Jieyu Zhao",{"tldr":145,"method":146,"finding":147,"direction":148,"opportunity":149},"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。","数字乡村与农业信息化","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":152,"title":153,"url":154,"summary":155,"summary_zh":9,"content":9,"source_name":156,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":157,"is_selected":14,"score":158,"score_detail":159,"sources":164,"tags":168,"primary_topic":173,"secondary_topics":179,"classification":180,"search_phrases":211,"slug":214,"view_count":80,"doi":215,"paper":216,"created_at":227},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":160,"substance":93,"depth":161,"authority":162,"freshness":57,"relevant":48,"comment":163},22,18,14,"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。",[165,166],{"name":156,"url":154},{"name":88,"url":167},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.2002109",[169,170,171,172,22],"数字农业","粮食安全","农业韧性","空间溢出",{"code":174,"slug":175,"name":176,"path":177,"parent_code":178},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":181,"locked":14,"version":28,"method":29,"evidence":182},"classified",{"candidates":183,"agricultural_evidence":35},[184,190,196,202,206],{"code":174,"score":185,"supported":35,"title":186,"abstract":188,"tags":189},9,[187],"food security",[],[170],{"code":121,"score":80,"supported":35,"title":191,"abstract":192,"tags":195},[],[193,194],"土地流转","社会化服务",[],{"code":197,"score":198,"supported":35,"title":199,"abstract":200,"tags":201},"I1",4,[],[169],[169],{"code":47,"score":48,"supported":14,"title":203,"abstract":204,"tags":205},[],[],[22],{"code":207,"score":48,"supported":14,"title":208,"abstract":209,"tags":210},"I4",[],[],[172],[212,213],"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":215,"openalex_id":217,"authors":218,"venue":88,"cited_by_count":15,"oa_url":167,"card":222,"direction":148,"ingested_from":77},"W7223134273",[219],{"name":220,"orcid":221},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915",{"tldr":223,"method":224,"finding":225,"direction":148,"opportunity":226},"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":229,"title":230,"url":231,"summary":232,"summary_zh":9,"content":9,"source_name":233,"source_url":9,"published_at":234,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":158,"score_detail":235,"sources":237,"tags":239,"primary_topic":9,"secondary_topics":244,"classification":245,"search_phrases":263,"slug":266,"view_count":15,"doi":267,"paper":268,"created_at":276},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":161,"substance":160,"depth":161,"authority":95,"freshness":80,"relevant":48,"comment":236},"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。",[238],{"name":233,"url":231},[22,240,241,242,243],"耦合协调","区域差异","农业绿色技术","绿色财政",[],{"status":246,"locked":14,"version":28,"method":29,"evidence":247},"unclassified",{"candidates":248,"agricultural_evidence":35,"reason":262},[249,253,258],{"code":47,"score":48,"supported":14,"title":250,"abstract":251,"tags":252},[],[],[22],{"code":254,"score":48,"supported":14,"title":255,"abstract":256,"tags":257},"H8",[],[],[242],{"code":207,"score":48,"supported":14,"title":259,"abstract":260,"tags":261},[],[],[240],"缺少足够的主题证据",[264,265],"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":267,"openalex_id":9,"authors":269,"venue":9,"cited_by_count":15,"oa_url":9,"card":270,"direction":148,"ingested_from":275},[],{"tldr":271,"method":272,"finding":273,"direction":148,"opportunity":274},"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。","agent","2026-10-12T00:11:14.377170Z",{"id":278,"title":279,"url":280,"summary":281,"summary_zh":9,"content":9,"source_name":282,"source_url":9,"published_at":283,"category":12,"cover_url":9,"hotness":13,"is_selected":35,"score":284,"score_detail":285,"sources":288,"tags":290,"primary_topic":294,"secondary_topics":300,"classification":307,"search_phrases":327,"slug":330,"view_count":331,"doi":9,"paper":332,"created_at":339},4478,"更好发挥电商在促进农民增收中的作用 农村电商直接带动农民增收的三条路径","https:\u002F\u002Fso.html5.qq.com\u002Fpage\u002Freal\u002Fsearch_news?docid=70000021_8246ac795b854952","农业农村部信息中心郁跃伟、崔阳阳联合撰文指出，2025年农产品网络零售额达7833.1亿元、同比增长9.9%，头部电商平台全年助农直播超400万场、农村网商数达2007.4万家，2026年一季度农村网络零售额同比增长11.0%、农产品网络零售额同比增长14.7%；农村电商直接带动农民增收的三条路径——优化就业结构、促进产业结构调整、数字金融普惠；三条路径相互交织、彼此强化使农民集生产者、销售者、服务者、创业者等角色于一身。","农业农村部信息中心 郁跃伟 崔阳阳 2026-10-08","2026-10-08T00:00:00Z",87,{"impact":286,"substance":160,"depth":161,"authority":162,"freshness":185,"relevant":48,"comment":287},24,"部委信息中心撰文，含2025年及2026年一季度最新数据与三条增收路径结论，时效性强，值得进入每日精选。",[289],{"name":282,"url":280},[291,100,292,22,293],"农村电商","农民增收","农产品上行",{"code":295,"slug":296,"name":297,"path":298,"parent_code":299},"E5","branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","E",[301],{"code":302,"slug":303,"name":304,"path":305,"parent_code":306},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",{"status":181,"locked":14,"version":28,"method":29,"evidence":308},{"candidates":309,"agricultural_evidence":35},[310,314,319,323],{"code":295,"score":95,"supported":35,"title":311,"abstract":312,"tags":313},[291],[291],[293,291],{"code":302,"score":315,"supported":35,"title":316,"abstract":317,"tags":318},12,[292],[292],[292],{"code":47,"score":48,"supported":14,"title":320,"abstract":321,"tags":322},[],[],[22],{"code":130,"score":48,"supported":14,"title":324,"abstract":325,"tags":326},[],[],[100],[328,329],"农业农村部信息中心 农村电商 农民增收","农产品网络零售额 农村网商","农业农村部信息中心农村电商农民增收-4478",5,{"doi":9,"openalex_id":9,"authors":333,"venue":9,"cited_by_count":15,"oa_url":9,"card":334,"direction":148,"ingested_from":275},[],{"tldr":335,"method":336,"finding":337,"direction":148,"opportunity":338},"分析农村电商直接带动农民增收的三条路径及其交织强化机制。","基于农业农村部信息中心数据，梳理电商助农增收路径。","电商通过优化就业、调整产业、数字金融普惠三条路径协同促进农民增收。","可量化三条路径的交互效应，并研究不同区域与农户类型的增收差异。","2026-10-09T00:05:02.517070Z",{"id":341,"title":342,"url":343,"summary":344,"summary_zh":345,"content":9,"source_name":88,"source_url":343,"published_at":234,"category":12,"cover_url":9,"hotness":157,"is_selected":14,"score":346,"score_detail":347,"sources":349,"tags":353,"primary_topic":356,"secondary_topics":362,"classification":363,"search_phrases":386,"slug":389,"view_count":48,"doi":390,"paper":391,"created_at":406},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。",79,{"impact":161,"substance":160,"depth":161,"authority":95,"freshness":92,"relevant":48,"comment":348},"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。",[350,351],{"name":88,"url":343},{"name":352,"url":231},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Agricultural and Food Economics",[22,354,242,243,355],"区域协调","农业碳强度",{"code":357,"slug":358,"name":359,"path":360,"parent_code":361},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":181,"locked":14,"version":28,"method":29,"evidence":364},{"candidates":365,"agricultural_evidence":35},[366,372,378,382],{"code":357,"score":80,"supported":35,"title":367,"abstract":368,"tags":371},[],[369,370],"碳排放","农业碳",[],{"code":373,"score":34,"supported":35,"title":374,"abstract":375,"tags":377},"F3",[],[376],"fertilizer",[],{"code":47,"score":48,"supported":14,"title":379,"abstract":380,"tags":381},[],[],[22],{"code":254,"score":48,"supported":14,"title":383,"abstract":384,"tags":385},[],[],[242],[387,388],"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":390,"openalex_id":392,"authors":393,"venue":88,"cited_by_count":15,"oa_url":399,"card":400,"direction":404,"ingested_from":77},"W7220858039",[394,396],{"name":395,"orcid":9},"Xiang Li",{"name":397,"orcid":398},"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":401,"method":402,"finding":403,"direction":404,"opportunity":405},"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。","2026-10-08T23:30:07.529115Z",{"id":408,"title":409,"url":410,"summary":411,"summary_zh":9,"content":9,"source_name":412,"source_url":9,"published_at":413,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":414,"score_detail":415,"sources":417,"tags":419,"primary_topic":9,"secondary_topics":424,"classification":425,"search_phrases":436,"slug":439,"view_count":198,"doi":9,"paper":440,"created_at":447},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。","农林经济管理学报","2026-01-15T00:00:00Z",74,{"impact":161,"substance":160,"depth":161,"authority":162,"freshness":57,"relevant":48,"comment":416},"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。",[418],{"name":412,"url":410},[420,22,421,422,423],"农业产业链","数字化转型","涉农企业","供应链金融",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":426},{"candidates":427,"agricultural_evidence":14,"reason":52},[428,432],{"code":47,"score":48,"supported":14,"title":429,"abstract":430,"tags":431},[],[],[22],{"code":197,"score":48,"supported":14,"title":433,"abstract":434,"tags":435},[],[],[421],[437,438],"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",{"doi":9,"openalex_id":9,"authors":441,"venue":9,"cited_by_count":15,"oa_url":9,"card":442,"direction":148,"ingested_from":275},[],{"tldr":443,"method":444,"finding":445,"direction":148,"opportunity":446},"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。","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。","2026-09-29T00:08:26.970176Z"]