[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5461":3,"related-5461":65},{"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":49,"slug":52,"view_count":53,"doi":54,"paper":55,"created_at":64},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。",null,"Humanities and Social Sciences Communications 2026-10-17","2026-10-17T00:00:00Z","论文",10,false,82,{"impact":16,"substance":16,"depth":17,"authority":18,"freshness":19,"relevant":20,"comment":21},22,18,14,6,1,"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。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","农业韧性","空间溢出","省级面板","农村数字经济",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"unclassified","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":47,"reason":48},[37,42],{"code":38,"score":20,"supported":13,"title":39,"abstract":40,"tags":41},"I4",[],[],[27],{"code":43,"score":20,"supported":13,"title":44,"abstract":45,"tags":46},"I6",[],[],[25],true,"缺少足够的主题证据",[50,51],"农村数字经济 农业韧性","空间杜宾模型 省级面板","农村数字经济农业韧性-5461",0,"10.1057\u002Fs41599-026-09360-9",{"doi":54,"openalex_id":8,"authors":56,"venue":8,"cited_by_count":53,"oa_url":8,"card":57,"direction":61,"ingested_from":63},[],{"tldr":58,"method":59,"finding":60,"direction":61,"opportunity":62},"基于2011—2022年30省数据，检验农村数字经济对农业发展韧性的多维影响效应。","熵值法测度农村数字经济与农业韧性，空间杜宾模型检验直接、溢出与中介效应。","直接效应在西部与非粮食主产区更显著，溢出效应在东部与主产区更显著，技术进步仅具本地中介。","数字乡村与农业信息化","可深入探究技术进步跨区溢出缺失的机制，并识别主产区与非主产区差异化数字乡村政策路径。","agent","2026-10-21T00:10:08.312922Z",{"total":19,"page":20,"page_size":19,"items":66},[67,127,196,266,329,391],{"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":81,"tags":83,"primary_topic":86,"secondary_topics":92,"classification":93,"search_phrases":114,"slug":117,"view_count":53,"doi":118,"paper":119,"created_at":126},5457,"数字化水平、农业社会化服务对农业现代化的影响 (Impact of Digitalization and Agricultural Socialized Services on Agricultural 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":76,"depth":77,"authority":78,"freshness":79,"relevant":20,"comment":80},21,17,13,9,"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。",[82],{"name":72,"url":70},[25,28,84,85],"农业现代化","农业社会化服务",{"code":87,"slug":88,"name":89,"path":90,"parent_code":91},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":94,"locked":13,"version":33,"method":34,"evidence":95},"classified",{"candidates":96,"agricultural_evidence":47},[97,104,110],{"code":98,"score":99,"supported":47,"title":100,"abstract":102,"tags":103},"J2",20,[84,101],"agricultural modernization",[84],[84],{"code":87,"score":105,"supported":47,"title":106,"abstract":108,"tags":109},12,[107],"社会化服务",[107],[85],{"code":43,"score":20,"supported":13,"title":111,"abstract":112,"tags":113},[],[],[25],[115,116],"数字化 农业社会化服务 农业现代化","熵值TOPSIS 农业现代化指数","数字化农业社会化服务农业现代化-5457","10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031",{"doi":118,"openalex_id":8,"authors":120,"venue":8,"cited_by_count":53,"oa_url":8,"card":121,"direction":61,"ingested_from":63},[],{"tldr":122,"method":123,"finding":124,"direction":61,"opportunity":125},"用省级面板数据检验数字化对农业现代化的促进机制。","2013—2023年30省面板数据，熵值TOPSIS测度，双向固定效应模型。","数字化显著促进农业现代化，经市场化传导，社会化服务起调节作用，主产区不显著。","可探究粮食主产区数字化效应不显著的成因，及社会化服务与数字化的协同机制。","2026-10-21T00:10:07.928719Z",{"id":128,"title":129,"url":130,"summary":131,"summary_zh":132,"content":8,"source_name":133,"source_url":130,"published_at":134,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":135,"score_detail":136,"sources":139,"tags":141,"primary_topic":8,"secondary_topics":144,"classification":145,"search_phrases":174,"slug":177,"view_count":53,"doi":178,"paper":179,"created_at":195},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。","Frontiers in Sustainable Food Systems","2026-10-19T00:00:00Z",81,{"impact":17,"substance":16,"depth":137,"authority":78,"freshness":79,"relevant":20,"comment":138},19,"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。",[140],{"name":133,"url":130},[25,27,84,142,143],"绿色转型","耕地保护",[],{"status":146,"locked":13,"version":33,"method":34,"evidence":147},"needs_review",{"candidates":148,"agricultural_evidence":47,"reason":173},[149,155,159,164,169],{"code":150,"score":151,"supported":47,"title":152,"abstract":153,"tags":154},"H1",4,[],[143],[143],{"code":43,"score":151,"supported":47,"title":156,"abstract":157,"tags":158},[],[25],[25],{"code":98,"score":151,"supported":47,"title":160,"abstract":161,"tags":163},[],[162],"农业农村现代化",[84],{"code":165,"score":20,"supported":13,"title":166,"abstract":167,"tags":168},"H4",[],[],[142],{"code":38,"score":20,"supported":13,"title":170,"abstract":171,"tags":172},[],[],[27],"多个产业证据相当，需要确认主归属",[175,176],"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","10.3389\u002Ffsufs.2026.1831062",{"doi":178,"openalex_id":180,"authors":181,"venue":133,"cited_by_count":53,"oa_url":130,"card":188,"direction":61,"ingested_from":194},"W7222979824",[182,184,186],{"name":183,"orcid":8},"Yifeng Lv",{"name":185,"orcid":8},"Daichen Guo",{"name":187,"orcid":8},"Sanglin Zhao",{"tldr":189,"method":190,"finding":191,"direction":192,"opportunity":193},"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。","openalex","2026-10-20T23:30:07.007802Z",{"id":197,"title":198,"url":199,"summary":200,"summary_zh":8,"content":8,"source_name":201,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":202,"is_selected":13,"score":203,"score_detail":204,"sources":207,"tags":211,"primary_topic":215,"secondary_topics":221,"classification":222,"search_phrases":249,"slug":252,"view_count":19,"doi":253,"paper":254,"created_at":265},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":16,"substance":76,"depth":17,"authority":18,"freshness":205,"relevant":20,"comment":206},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。",[208,209],{"name":201,"url":199},{"name":133,"url":210},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.2002109",[212,213,26,27,214],"数字农业","粮食安全","数字金融",{"code":216,"slug":217,"name":218,"path":219,"parent_code":220},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":94,"locked":13,"version":33,"method":34,"evidence":223},{"candidates":224,"agricultural_evidence":47},[225,230,235,240,245],{"code":216,"score":79,"supported":47,"title":226,"abstract":228,"tags":229},[227],"food security",[],[213],{"code":87,"score":19,"supported":47,"title":231,"abstract":232,"tags":234},[],[233,107],"土地流转",[],{"code":236,"score":151,"supported":47,"title":237,"abstract":238,"tags":239},"I1",[],[212],[212],{"code":241,"score":20,"supported":13,"title":242,"abstract":243,"tags":244},"G3",[],[],[214],{"code":38,"score":20,"supported":13,"title":246,"abstract":247,"tags":248},[],[],[27],[250,251],"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":253,"openalex_id":255,"authors":256,"venue":133,"cited_by_count":53,"oa_url":210,"card":260,"direction":61,"ingested_from":194},"W7223134273",[257],{"name":258,"orcid":259},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915",{"tldr":261,"method":262,"finding":263,"direction":61,"opportunity":264},"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":267,"title":268,"url":269,"summary":270,"summary_zh":271,"content":8,"source_name":272,"source_url":269,"published_at":273,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":274,"score_detail":275,"sources":277,"tags":279,"primary_topic":283,"secondary_topics":288,"classification":289,"search_phrases":309,"slug":312,"view_count":151,"doi":313,"paper":314,"created_at":328},4520,"Agricultural Industry Agglomeration and Carbon Emission Intensity: A Systems Perspective on Resilience and Digital Development","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsystems14101263","Decarbonizing agriculture depends not only on the efficiency of individual production activities but also on coordination among production, processing, and service activities. From a systems perspective, this study treats provincial agriculture as an interconnected industrial system and examines the relationship between agricultural industry agglomeration and agricultural carbon emission intensity. Moving beyond conventional measures of production concentration, agricultural industry agglomeration is measured as coordination between horizontal agglomeration in agricultural production and vertical agglomeration across production, processing, and agricultural services. Based on a balanced panel of 390 observations across 30 Chinese provinces from 2011 to 2023, the study uses province and year fixed effects, mediation and moderation analyses, robustness checks, and an endogeneity check. Results show that agricultural industry agglomeration is significantly associated with lower agricultural carbon emission intensity. The mediation results are consistent with a partial intermediary role for agricultural industry resilience in this relationship. The interaction and simple slope results show that the positive association between agricultural industry agglomeration and agricultural industry resilience is larger at higher levels of digital village development. These findings connect subsystem coordination, adaptive capacity, digital conditions, and carbon performance, thereby extending research on agricultural transformation toward lower carbon intensity from a systems perspective.","农业脱碳不仅取决于单个生产活动的效率，还取决于生产、加工和服务活动之间的协调。本研究从系统视角出发，将省级农业视为一个相互关联的产业系统，考察农业产业集聚与农业碳排放强度之间的关系。本研究超越传统的生产集中度衡量方式，将农业产业集聚界定为农业生产横向集聚与生产、加工及农业服务纵向集聚之间的协调。基于2011年至2023年中国30个省份390个观测值的平衡面板数据，本研究采用省份和年份固定效应、中介与调节分析、稳健性检验以及内生性检验。结果表明，农业产业集聚与较低的农业碳排放强度显著相关。中介结果表明，农业产业韧性在这一关系中发挥部分中介作用。交互效应和简单斜率结果表明，在数字乡村发展水平较高时，农业产业集聚与农业产业韧性之间的正向关联更强。这些发现将子系统协调、适应能力、数字条件与碳绩效联系起来，从而从系统视角拓展了农业向低碳强度转型的研究。","Systems","2026-10-08T00:00:00Z",80,{"impact":17,"substance":16,"depth":17,"authority":78,"freshness":79,"relevant":20,"comment":276},"基于30省2011-2023年面板数据，从系统视角揭示农业产业集聚通过韧性降低碳排放强度，并受数字乡村发展调节，方法规范、结论有政策参考价值。",[278],{"name":272,"url":269},[25,280,26,281,282],"智慧农业","农业碳排放","农业产业集聚",{"code":165,"slug":284,"name":285,"path":286,"parent_code":287},"carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":94,"locked":13,"version":33,"method":34,"evidence":290},{"candidates":291,"agricultural_evidence":47},[292,299,305],{"code":165,"score":17,"supported":47,"title":293,"abstract":295,"tags":298},[294],"carbon 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