[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-295":3,"related-295":76},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":69,"slug":72,"view_count":73,"doi":74,"paper":8,"created_at":75},295,"Digital rural construction, cultivation of new forms of rural agriculture, and carbon emissions in county-level agriculture","https:\u002F\u002Fnyxdhyj.isa.ac.cn\u002Fen\u002Farticle\u002Fdoi\u002F10.13872\u002Fj.1000-0275.2026.0225","新疆财经大学XIE Tingting、LU Kun、WANG Hong在《农业现代化研究》发表数字乡村建设与县域农业碳排放的实证研究,基于2007-2024年中国县级平衡面板数据,构建交错双重差分模型,实证检验数字乡村建设对县域农业碳排放的影响及其作用机制。核心发现:第一,数字乡村建设显著降低了县域农业碳排放,该结论经一系列稳健性与内生性检验后依旧成立;第二,机制分析揭示数字乡村建设通过培育农业新质生产力发挥碳减排效应;第三,扩展分析显示该减排效应存在跨地市边界外溢但受省级边界约束,且对保障粮食产量有正向作用;第四,异质性分析显示该影响在粮食主产区、农业机械化水平较低地区、耕地资源禀赋较弱县更为显著。研究建议进一步释放数字乡村建设碳减排潜力,因地制宜推进县域农业绿色低碳转型。",null,"[1]黄汉权, 周振. 新一轮乡村振兴规划的新内涵、新要求和重点任务[J]. 中国农村经济, 2025(6): 3-19. 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12，确保可持续消费和生产模式）视角出发，识别AI技术对中国农业可持续消费效率的影响及其传导路径。文章构建包含人工智能基础设施部署、AI技术应用广度与应用深度三维一体的指标体系，运用双向固定效应模型、机制检验模型与门槛模型，对中国30个省份2015-2024年的面板数据展开系统实证。研究发现：AI应用显著提升了农业可持续消费效率，且在东中部、粮食主产区效应更突出；机制检验表明，AI通过促进农业生产要素重组、推动农产品加工链条低碳化、引导农村消费结构升级三条路径释放效率红利；门槛分析进一步显示，存在以农技推广覆盖率为单一门槛的\"低、高\"两种区制，AI边际效应在低覆盖率地区先升后降。研究对完善农业人工智能政策、推进农村消费革命具有重要意义，为\"十五五\"数字乡村建设背景下农业新质生产力发展提供经验依据。","Frontiers in Sustainable Food Systems 2026 年 10 月 06 日 Volume 10 Sec. Climate-Smart Food Systems (Accepted)","2026-10-05T16:00:00Z",85,{"impact":90,"substance":206,"depth":17,"authority":207,"freshness":73,"relevant":21,"comment":208},23,13,"基于30省十年面板数据的实证研究，方法扎实、结论具体，对数字乡村与农业AI政策有参考价值，值得进入每日精选。",[210],{"name":202,"url":200},[66,212,26,213,214],"农业人工智能","农技推广","可持续消费",{"code":216,"slug":217,"name":218,"path":219,"parent_code":220},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":108,"locked":14,"version":34,"method":35,"evidence":223},{"candidates":224,"agricultural_evidence":41},[225,231,236,240,246],{"code":216,"score":226,"supported":41,"title":227,"abstract":229,"tags":230},12,[228],"artificial intelligence",[212],[212],{"code":232,"score":56,"supported":41,"title":233,"abstract":234,"tags":235},"G1",[],[213],[213],{"code":62,"score":56,"supported":41,"title":237,"abstract":238,"tags":239},[],[66],[66],{"code":241,"score":63,"supported":41,"title":242,"abstract":243,"tags":245},"E1",[],[244],"农产品加工",[],{"code":55,"score":21,"supported":14,"title":247,"abstract":248,"tags":249},[],[],[26],[251,252],"农业人工智能 可持续消费效率","SDG 12 中国农业 AI","农业人工智能可持续消费效率-4548","10.3389\u002Ffsufs.2026.xxxxx",{"doi":254,"openalex_id":8,"authors":256,"venue":8,"cited_by_count":135,"oa_url":8,"card":257,"direction":261,"ingested_from":263},[],{"tldr":258,"method":259,"finding":260,"direction":261,"opportunity":262},"实证检验AI对中国农业可持续消费效率的影响及传导路径。","构建AI三维指标体系，用双向固定效应、机制与门槛模型分析30省面板数据。","AI显著提升农业可持续消费效率，通过要素重组、加工低碳化、消费升级传导，存在农技推广门槛。","农业人工智能与决策模型","可探究AI应用深度与农技推广覆盖率的协同机制，及低覆盖率区AI效应先升后降的微观成因。","agent","2026-10-10T00:15:03.509764Z",{"id":266,"title":267,"url":268,"summary":269,"summary_zh":270,"content":8,"source_name":271,"source_url":268,"published_at":272,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":273,"score_detail":274,"sources":277,"tags":279,"primary_topic":283,"secondary_topics":288,"classification":289,"search_phrases":306,"slug":309,"view_count":63,"doi":310,"paper":311,"created_at":325},3757,"Same-industry digital peer effects among Chinese listed grain-related enterprises: evidence from the grain industrial chain context","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1883572","Digital transformation of the grain industrial chain is a critical pillar for safeguarding national food security. Currently, the Chinese government attaches great importance to fostering new quality productive forces in agriculture and has provided robust policy support for the digital transformation of the grain industrial chain. However, the willingness of various stakeholders along the chain to undergo digital transformation remains highly uneven, leading to an increasingly prominent contradiction between the national goal of building a powerful grain industry and the practical challenges faced by micro-entities: reluctance to transform, fear of transformation, and lack of capacity to transform. This paper explores the mitigation path of this contradiction from the perspective of digital peer effects, aiming to provide new insights for advancing the digital transformation of the grain industrial chain. Taking grain-related enterprises listed on the Shanghai and Shenzhen Stock Exchanges of China from 2013 to 2023 as the research sample, this paper empirically tests the existence, heterogeneous characteristics and economic consequences of peer effects in the digital transformation of grain-related enterprises. The results indicate that grain-related enterprises experience significant peer effects with respect to digital transformation, and enterprises of different sizes exhibit heterogeneous responses. The higher the level of economic development and the more sophisticated the financial system in the region where an enterprise is located, the stronger the digital peer effects. These peer effects are significantly associated with reduced operating costs and increased operating revenue. Further analysis reveals that significant digital peer effects are observed among upstream enterprises, while those among midstream and downstream enterprises fail to pass the significance test. The digital transformation of downstream enterprises exerts a significant positive impact on upstream and midstream enterprises, but the reverse impact is not statistically significant. Based on these results, we propose strengthening cross-segment coordination, communication, and knowledge-sharing within the grain industrial chain to amplify peer-driven digital spillovers and raise overall chain-wide digitalization.","粮食产业链数字化转型是保障国家粮食安全的关键支柱。当前，中国政府高度重视培育农业新质生产力，为粮食产业链数字化转型提供了有力的政策支持。然而，产业链上各主体的数字化转型意愿呈现显著不均衡，导致国家建设粮食强国的目标与微观主体“不愿转、不敢转、不会转”的现实困境之间的矛盾日益突出。本文从数字化同群效应的视角探讨这一矛盾的缓解路径，旨在为推进粮食产业链数字化转型提供新的思路。本文以2013—2023年中国沪深A股涉粮上市公司为研究样本，实证检验涉粮企业数字化转型同群效应的存在性、异质性特征及经济后果。结果表明，涉粮企业数字化转型存在显著的同群效应，不同规模企业的响应具有异质性。企业所在地区经济发展水平越高、金融体系越完善，数字化同群效应越强。该同群效应与营业成本降低和营业收入增加显著相关。进一步分析发现，上游企业之间存在显著的数字化同群效应，而中游和下游企业的同群效应未能通过显著性检验。下游企业的数字化转型对上游和中游企业具有显著的正向影响，但反向影响在统计上不显著。基于上述结果，本文提出应加强粮食产业链上下游环节之间的协调、沟通与知识共享，以放大同群驱动的数字化溢出效应，提升全链条整体数字化水平。","Frontiers in Sustainable Food Systems","2026-09-29T00:00:00Z",79,{"impact":17,"substance":275,"depth":149,"authority":207,"freshness":13,"relevant":21,"comment":276},21,"基于2013—2023年沪深粮食类上市公司数据的实证研究，揭示数字化转型同群效应的存在性、异质性与经济后果，对推进粮食产业链数字化具有参考价值。",[278],{"name":271,"url":268},[26,166,280,281,282],"数字化转型","粮食产业链","同群效应",{"code":163,"slug":284,"name":285,"path":286,"parent_code":287},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":108,"locked":14,"version":34,"method":35,"evidence":290},{"candidates":291,"agricultural_evidence":41},[292,298,302],{"code":163,"score":293,"supported":41,"title":294,"abstract":295,"tags":297},7,[],[166,296],"food security",[166],{"code":122,"score":21,"supported":14,"title":299,"abstract":300,"tags":301},[],[],[280],{"code":55,"score":21,"supported":14,"title":303,"abstract":304,"tags":305},[],[],[26],[307,308],"粮食产业链 数字化转型 同群效应","粮食企业 数字化 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Guo",{"tldr":319,"method":320,"finding":321,"direction":322,"opportunity":323},"基于2013-2023年中国粮食相关上市企业，实证检验数字化转型的同行业同群效应及其异质性与经济后果","沪深粮食相关上市公司面板数据，实证检验同群效应、异质性与经济后果。","粮食企业数字化转型存在显著同群效应，上游显著、中下游不显著，下游对上游和中游有正向溢出。","数字乡村与农业信息化","可延伸研究粮食产业链跨环节数字溢出的传导机制与政策干预路径，尤其关注中下游企业转型激励不足问题。","openalex","2026-09-29T23:30:06.703802Z",{"id":327,"title":328,"url":329,"summary":330,"summary_zh":8,"content":331,"source_name":332,"source_url":8,"published_at":333,"category":86,"cover_url":8,"hotness":13,"is_selected":14,"score":334,"score_detail":335,"sources":337,"tags":339,"primary_topic":343,"secondary_topics":344,"classification":345,"search_phrases":365,"slug":368,"view_count":56,"doi":8,"paper":8,"created_at":369},3690,"江苏印发十五五农业农村现代化规划","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7688889842024989193\u002F","江苏省政府办公厅近日印发《江苏省十五五农业农村现代化规划》，设置16项主要指标，其中粮食综合生产能力760亿斤以上为约束性指标。部署7项重点任务和耕地质量提升、设施农业现代化提升、人工智能+农业141行动、宜居宜业和美乡村示范建设、新农人队伍培育等重大工程。","## 江苏印发“十五五”农业农村现代化规划\n\n2026-09-24 08:19·[金台资讯](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAL8m7IqT5eR3-VgZjzlMhg66-z57FyRmydYIImMLAsQ4\u002F?source=tuwen_detail)\n\n据《新华日报》报道，近日，江苏省政府办公厅印发《江苏省“十五五”农业农村现代化规划》，立足省情农情，对今后五年“三农”工作作出系统谋划和战略部署，明确了“十五五”时期加快农业农村现代化的思路目标、重点任务和政策措施，着力推进农业现代化走在前、高水平建设农业强省。\n\n《规划》强调，坚持农业农村优先发展，坚持城乡融合发展，锚定高水平建设农业强省目标，深入学习运用“千万工程”经验，一体推进农业现代化和农村现代化，统筹发展科技农业、绿色农业、质量农业、品牌农业。\n\n《规划》提出，到2030年，乡村全面振兴取得显著成效，农业农村现代化取得重大进展，粮食等重要农产品供给保障能力持续增强，农业质量效益和竞争力不断提高，农民收入持续较快增长，宜居宜业和美乡村加快建设，城乡融合发展实现新突破。围绕农业农村高质量发展设置16项主要指标，其中粮食综合生产能力为约束性指标，稳定在760亿斤以上。\n\n《规划》突出7项重点任务，明确坚持产量产能、生产生态、增产增收一起抓，加快推进优土、优种、优产、优储、优销“五优联动”，强化科技和改革双轮驱动，培育农业新质生产力，以县域为切入点推进城乡融合，加快宜居宜业和美乡村建设。\n\n《规划》部署了耕地质量提升行动、设施农业现代化提升工程、“人工智能+农业”141行动、宜居宜业和美乡村示范建设、“新农人”队伍培育等重大工程和行动。《规划》要求，加强党对“三农”工作的领导，强化乡村振兴统筹推进机制，加强“三农”工作力量，推进农业农村法治建设。","新华日报","2026-09-24T00:19:00Z",76,{"impact":90,"substance":275,"depth":149,"authority":13,"freshness":40,"relevant":21,"comment":336},"省级“十五五”三农顶层规划，含16项指标与“人工智能+农业”141行动等具体工程，政策条款与数字细节扎实，对智慧农业与数字乡村主题有较高聚合价值。",[338],{"name":332,"url":329},[212,340,26,114,341,342],"十五五规划","城乡融合","和美乡村",{"code":55,"slug":102,"name":103,"path":104,"parent_code":105},[],{"status":108,"locked":14,"version":34,"method":35,"evidence":346},{"candidates":347,"agricultural_evidence":41},[348,353,357,361],{"code":55,"score":349,"supported":41,"title":350,"abstract":351,"tags":352},16,[114],[59,114],[114,26],{"code":117,"score":21,"supported":14,"title":354,"abstract":355,"tags":356},[],[],[341],{"code":216,"score":21,"supported":14,"title":358,"abstract":359,"tags":360},[],[],[212],{"code":127,"score":21,"supported":14,"title":362,"abstract":363,"tags":364},[],[],[340],[366,367],"江苏 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141行动","江苏十五五农业农村现代化规划-3690","2026-09-29T00:08:18.403861Z",{"id":371,"title":372,"url":373,"summary":374,"summary_zh":8,"content":8,"source_name":375,"source_url":8,"published_at":376,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":377,"sources":379,"tags":381,"primary_topic":384,"secondary_topics":385,"classification":386,"search_phrases":402,"slug":405,"view_count":394,"doi":8,"paper":406,"created_at":413},3450,"《数智技术赋能农业新质生产力：内在机理、驱动要素与实现进路》","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjianghuailuntan\u002Fmulu\u002F678750.html","孙壮珍从数智技术赋能农业新质生产力内在机理入手，分析数智技术赋能农业新质生产力驱动要素，并从主体-组织-制度全域视角提出通过构建利益导向机制、培育新型载体平台、推进制度调适的实现进路。文章认为农业新质生产力有高度的渗透性与广泛的链接性，能够进一步拓展农业的生产空间与效率边界，变革农业生产的工艺、技术与流程，加速我国农业强国建设的进程。","《江淮论坛》\u002F西南科技大学","2026-09-20T00:00:00Z",{"impact":17,"substance":18,"depth":149,"authority":19,"freshness":40,"relevant":21,"comment":378},"核心期刊论文，从机理、要素到实现进路系统论述数智技术赋能农业新质生产力，理论增量明确，但属学术探讨而非政策落地，时效性一般。",[380],{"name":375,"url":373},[66,97,26,382,383],"农业强国","数智技术",{"code":55,"slug":102,"name":103,"path":104,"parent_code":105},[],{"status":108,"locked":14,"version":34,"method":35,"evidence":387},{"candidates":388,"agricultural_evidence":41},[389,393,398],{"code":55,"score":20,"supported":41,"title":390,"abstract":391,"tags":392},[],[382],[382,26],{"code":122,"score":394,"supported":14,"title":395,"abstract":396,"tags":397},2,[],[],[383,97],{"code":62,"score":21,"supported":14,"title":399,"abstract":400,"tags":401},[],[],[66],[403,404],"数智技术 农业新质生产力","江淮论坛 农业新质生产力","数智技术农业新质生产力-3450",{"doi":8,"openalex_id":8,"authors":407,"venue":8,"cited_by_count":135,"oa_url":8,"card":408,"direction":322,"ingested_from":263},[],{"tldr":409,"method":410,"finding":411,"direction":322,"opportunity":412},"分析数智技术赋能农业新质生产力的内在机理、驱动要素与实现进路。","理论分析，从主体-组织-制度全域视角提出机制、平台与制度调适路径。","农业新质生产力具高渗透性与广链接性，可拓展生产空间与效率边界，加速农业强国建设。","可实证检验数智技术赋能农业新质生产力的机制与制度调适效果，弥补纯理论分析不足。","2026-09-25T00:09:34.845621Z"]