[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3333":3,"related-3333":62},{"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":24,"tags":26,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":61},3333,"Beyond administrative boundaries: how agricultural socialized services drive grain-oriented cropping transformation in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1920691","China’s grain security rests on a smallholder sector in which the average household cultivates 0.6 hectares, a scale that constrains mechanization and limits gains in production efficiency. Since 2013 the government has responded through agricultural socialized service (ASS) pilots, which deliver mechanized and technical services to fragmented producers without altering land ownership. Causal evidence on how such policies reshape land allocation remains scarce, and their reach beyond implementing jurisdictions has been largely overlooked. Drawing on a panel of 30 Chinese provinces from 2006 to 2022, this study combines a multi-period difference-in-differences design with a spatial Durbin model to estimate the effect of the ASS pilots on grain-oriented cropping structure. The policy raises the grain share of sown area by 2.8 percentage points, an effect concentrated almost entirely in wheat, the most mechanization-compatible of the major grains. Four transmission channels register significant responses: land transfer consolidation, agricultural mechanization, cooperative development, and a widening rather than a narrowing of the grain portfolio. The last of these runs counter to the conventional specialization account and is consistent with service provision relaxing the timing constraint on multiple cropping, so that grain expansion and crop diversity advance together rather than trading off. Heterogeneity tracks physical conditions more closely than administrative geography: the estimated effect in plains provinces is roughly twice that in hilly provinces, whereas differences across the eastern, central and western belts are not statistically distinguishable. Spillovers are substantial. Indirect effects are 1.8 times direct effects and account for close to two thirds of the total, so non-spatial estimation understates the total policy effect by approximately 41% while overstating its purely local component by approximately 40%. Three implications follow: target service expansion by mechanization compatibility rather than by administrative region; sequence implementation outward from high-capacity provinces so that spillovers are harvested deliberately rather than incidentally; and evaluate service-oriented policies at a supra-provincial scale, since province-by-province assessment misstates both their magnitude and their geographic incidence.","中国的粮食安全建立在小农部门之上，户均耕地仅0.6公顷，这一规模制约了机械化并限制了生产效率的提升。自2013年以来，政府通过农业社会化服务（agricultural socialized service，ASS）试点予以应对，在不改变土地所有权的前提下，为细碎化生产者提供机械化与技术服务。关于此类政策如何重塑土地配置的因果证据仍然稀缺，且其超出实施辖区之外的溢出效应在很大程度上被忽视。本研究基于2006年至2022年中国30个省份的面板数据，将多期双重差分设计与空间杜宾模型相结合，估计ASS试点对粮食导向种植结构的影响。该政策使粮食播种面积占比提高2.8个百分点，这一效应几乎完全集中于小麦——主要粮食品种中与机械化兼容性最高者。四条传导渠道呈现显著响应：土地流转整合、农业机械化、合作社发展，以及粮食组合的拓宽而非收窄。最后一条与传统的专业化解释相悖，而与服务供给放松多熟制时间约束相一致，从而使粮食扩张与作物多样性齐头并进而非相互权衡。异质性更多地随自然条件而非行政区划而变化：平原省份的估计效应约为丘陵省份的两倍，而东部、中部和西部地带之间的差异在统计上不可区分。溢出效应十分显著。间接效应为直接效应的1.8倍，占总效应的近三分之二，因此非空间估计将政策总效应低估约41%，同时将其纯本地成分高估约40%。由此得出三点启示：应按机械化兼容性而非行政区划来定位服务扩展；从高能力省份向外依次推进实施，以便有意识地而非偶然地获取溢出效应；并在跨省尺度上评估服务导向型政策，因为逐省评估会误判其效应大小和地理分布。",null,"Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z","论文",10,false,86,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,14,9,1,"基于30省2006—2022年面板数据的准自然实验研究，量化农业社会化服务试点对粮食种植结构的因果效应与跨省溢出，结论对服务政策的空间布局有直接参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","农业机械化","农业社会化服务","空间溢出效应","农地流转",[33,34],"农业社会化服务 粮食种植结构","农业社会化服务试点 空间杜宾模型","农业社会化服务粮食种植结构-3333",0,"10.3389\u002Ffsufs.2026.1920691",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":54,"direction":58,"ingested_from":60},"W7214079035",[41,44,47,49,51],{"name":42,"orcid":43},"Ruofan Liao","https:\u002F\u002Forcid.org\u002F0009-0009-5058-7368",{"name":45,"orcid":46},"Kexin Zhang","https:\u002F\u002Forcid.org\u002F0009-0000-3967-2080",{"name":48,"orcid":9},"Zhengtao Chen",{"name":50,"orcid":9},"Mi Tan",{"name":52,"orcid":53},"Jianxu Liu","https:\u002F\u002Forcid.org\u002F0000-0002-2128-6015",{"tldr":55,"method":56,"finding":57,"direction":58,"opportunity":59},"评估农业社会化服务试点如何跨行政区推动粮食种植结构转型。","2006-2022年30省面板，多期DID与空间杜宾模型。","试点使粮食播种面积占比提高2.8个百分点，以小麦为主，溢出效应约为直接效应的1.8倍。","数字乡村与农业信息化","可研究社会化服务跨区溢出的空间机制，及机械化适配性对作物多样性与粮食安全协同的影响。","openalex","2026-09-24T23:30:07.111992Z",{"total":63,"page":22,"page_size":63,"items":64},6,[65,91,115,152,197,238],{"id":66,"title":67,"url":68,"summary":69,"summary_zh":9,"content":70,"source_name":71,"source_url":9,"published_at":11,"category":72,"cover_url":9,"hotness":13,"is_selected":73,"score":74,"score_detail":75,"sources":79,"tags":81,"search_phrases":86,"slug":89,"view_count":36,"doi":9,"paper":9,"created_at":90},3289,"专家解读：乘数而上向智而行——大力发展智慧农业 加快建设数字乡村 智慧农业与小农户有机衔接","https:\u002F\u002Fwww.thepaper.cn\u002FnewsDetail_forward_34116699","专家解读文章指出：近年来农机北斗终端实现快速规模化推广，截至2025年底累计推广超350万台套。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供菜单式服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户点单即享的标准化服务。十五五时期是基本实现农业农村现代化的关键时期，《加快农业农村现代化十五五规划》明确要推进人工智能运用和智慧农业发展；农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地。","习近平总书记高度重视数字乡村建设和智慧农业发展，作出重要指示强调，“瞄准农业现代化主攻方向，提高农业生产智能化、经营网络化水平，帮助广大农民增加收入”“要用好现代信息技术，创新乡村治理方式，提高乡村善治水平”。2019年，中共中央办公厅、国务院办公厅印发了《数字乡村发展战略纲要》。此后，中央一号文件连续八年对推进数字乡村和智慧农业作出重要部署。各地区各有关部门持续推进数字技术与农业生产、乡村生活日益融合，数字乡村建设和智慧农业发展取得重要阶段性成效。近日，国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告（2019—2025年）》（以下简称《报告》），系统总结了七年来我国数字乡村发展的成就和经验。《报告》立足新形势新要求，展示了以信息基础设施为底座、数据资源体系为核心、智慧农业与乡村数字经济为重点、数字文化与数字治理为支撑、信息服务与智慧美丽乡村为拓展、政策机制与人才队伍为保障的体系化发展路径。该《报告》不仅为全面了解发展成效、科学谋划“十五五”数字乡村发展蓝图提供了重要参考，也积极回应各方关切，向国际社会展示了我国借助数字技术推动农业与乡村治理数智化转型的经验。回顾七年历程，智慧农业作为数字乡村建设的重要内容，已由试点探索转向快速起步、由点状突破迈向系统推进，正乘“数”而上，向“智”而行，为推进农业农村现代化提供有力支撑。\n\n一、智慧农业正从“盆景”走向“风景”\n\n数字乡村涵盖乡村经济、治理、文化、服务等多个维度，内涵丰富。《报告》提出，智慧农业是“农业新质生产力的重要内容，是乡村产业数字化的关键着力点”。智慧农业为数字乡村高质量发展提供了坚实的产业支撑，成为推动数字乡村发展的关键动能。《报告》显示，七年的探索推进和快速发展，推动智慧农业实现了“四个跨越”。\n\n第一，智慧农业基础设施实现从“基础覆盖”到“深化赋能”的跨越。完善的网络基础设施为智慧农业在田间地头、池塘圈舍的落地拓展提供了基础支撑。截至2025年底，农村地区互联网普及率达69.5%，较2018年底提升31.1个百分点。传统基础设施数字化为智慧农业提供了更加坚实的硬件底座和场景支撑，农村水利、农田、电网、公路及寄递物流等持续升级完善。农业数据资源日益丰富，为智慧农业落地应用提供了基础资源和创新引擎，“天空地一体化”监测网络等新型基础设施加快建设，全国农产品批发市场价格信息等涉农数据开发利用不断深入。\n\n第二，关键技术装备实现从“基础”到“核心”的跨越。智能农机装备研发应用取得重要进展，新一代信息技术与农业装备深度融合，正推动农业生产方式从“靠天吃饭”向“知天而作”加速转变。产学研用相衔接的智慧农业创新体系加快形成，支撑取得一批关键智慧农业技术装备创新成果。《报告》显示，截至2025年底，累计建设智慧农业创新中心、分中心34个，智慧农业创新应用项目116个，104项关键智慧农业技术和62项整机智能装备研发取得突破。智慧农业技术装备质量管控更加严格、应用推广不断拓展，布局建设国家农机装备产业计量测试中心，强化农机装备产业计算测试技术研究与应用。\n\n第三，主要产业数字化实现从“单点试验”到“面上推广”的跨越。大田种植领域，天空地一体化农情感知与数据驱动模式初步构建，实现水稻、小麦、玉米苗情长势动态监测。截至2025年底，累计推广应用各类农机北斗终端超350万台套，农用无人机保有量超过30万架、年作业面积突破4.6亿亩。智能农机共享租赁加速普及。畜禽养殖领域，精准饲喂、环境控制、行为分析等智能技术广泛应用于生猪养殖和家禽立体高效养殖中。全国659个动物防疫通道纳入信息化管理，动物检疫监督更加智能化、便捷化和高效化。渔业领域，数字技术持续赋能多元化养殖模式，智能化网箱设备、投料机器人等智能装备加速迭代，海洋养殖智能化水平不断提升。\n\n第四，粮食安全保障实现从“人工管控”到“数智赋能”的跨越。粮食安全是“国之大者”，数智技术正在为其构筑起坚实保障。在耕地保护方面，“三区三线”等“一张图”相关基础数据库进一步完善，让“藏粮于地”有了更坚实的数据底座，助力守牢18亿亩耕地红线。在种业振兴方面，中国种业大数据平台建成运行，全国农作物种质资源信息平台已上线58.8万份国家级库圃种质资源信息，为育种创新提供了坚实的资源基础。在防灾减损领域，气象预警信息全面接入全国123万个应急广播终端并在16个省份386个市县试行开展“闪信”技术应用，以气象预警为先导的应急响应联动机制更加健全。在仓储方面，借助数字化仓储技术，粮库储粮周期内综合损耗率控制在1%以内，支撑节粮减损效果明显。从种到收、从田间到粮仓，数智技术正在全链条赋能国家粮食安全保障体系。\n\n二、智慧农业发展需要坚定走好符合国情农情的路子\n\n七年来，在信息革命加速农业深刻变革的进程中，智慧农业加快发展、数字乡村建设深入推进，推动农业成为更有奔头的产业、农村成为更加宜居宜业的家园，为网络强国、农业强国建设贡献了重要力量。回顾七年实践，我们进一步深化了对智慧农业发展的规律性认识。\n\n一是政府引导与市场机制协同发力。党中央、国务院印发的《加快建设农业强国规划（2024—2035年）》、农业农村部印发的《关于大力发展智慧农业的指导意见》《全国智慧农业行动计划（2024—2028年）》等文件构建了智慧农业“四梁八柱”。七年来，从智慧农业创新中心布局到创新应用项目建设实施，从主推技术遴选、典型案例推介到智慧农业创新大赛，政府的“有形之手”在搭建平台、降低门槛、推动产业化等方面发挥了重要作用。同时，平台经济等推动拓展创业空间，返乡青年、家庭农场、农民合作社和农村个体商户以平台化方式进入市场、链接消费和重构经营模式，农村电商、数字服务等新业态加速发展，市场的“无形之手”进一步增强了智慧农业发展的动力活力。\n\n二是技术创新与农情农艺深度结合。农业不同于工业、农村不同于城市，发展智慧农业、建设数字乡村必须坚持问题导向、应用导向，走适宜化、低成本、易操作的技术路线。近年来，农机北斗终端实现快速规模化推广，在于其有效契合了播种、收获等关键环节的实际生产需求，让农民“用得上、用得起、用得好”。\n\n三是智慧农业与小农户有机衔接。“大国小农”的基本国情农情决定了智慧农业要实现大规模落地应用，必须坚持让小农户共享数字红利的现实路径。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供“菜单式”服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户“点单即享”的标准化服务，有效破解小农户“买不起、用不好”的难题。以社会化服务为纽带，智慧农业正成为促进小农户与现代农业发展有机衔接的重要手段。\n\n三、奋力推进“十五五”时期智慧农业建设\n\n“十五五”时期是基本实现农业农村现代化的关键时期。展望未来五年，数字乡村将加快迈向数智乡村，智慧农业建设将进入创新发展、落地见效的关键阶段。《加快农业农村现代化“十五五”规划》明确，要“推进人工智能运用和智慧农业发展”。这要求我们既要总结运用好实践中积累形成的宝贵经验，又要准确把握未来数智技术和农业发展新趋势。\n\n当前，人工智能等数智技术加速演进，深刻重塑农业发展的底层逻辑，为智慧农业发展带来了前所未有的新机遇。一是数据产业加快培育，释放要素价值潜能。数据从支撑农业农村发展的辅助性工具，逐步发展为具有独立价值、可市场化运营的新型生产要素，其基础资源和创新引擎作用日渐显现，数智技术加速内化成为农业农村领域的发展动能，要抓实数据这个根本，进一步加快“统筹部署农业农村数据基础设施”“发展农业农村领域数据产业”。二是应用场景全链拓展，场景驱动成为重要引擎。农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地，场景驱动技术迭代的效能日益凸显，要打造丰富多样的应用场景，“加快农业人工智能应用场景拓展”。三是新兴产业加快培育，拓展农业发展新空间。智能设计育种、新能源农机、农业低空经济等先导性产业规模化发展，开辟智慧农业高质量发展全新赛道，要从智能育种等产业急需领域做起，加快“培育发展乡村新产业新业态”。\n\n《报告》的发布既是阶段性总结，更是新征程的动员。面向“十五五”，我们要坚决贯彻党中央、国务院关于大力推进“人工智能+”农业的部署要求，在基础设施上强基固本，在关键技术装备上聚力攻坚，在产业数智化上扩面提效，在粮食安全保障上筑牢数字防线，加快推动智慧农业从“点上突破”迈向“面上成势”，从“量的积累”转向“质的跃升”。以智慧农业的创新发展，推动数字乡村高质量发展，为加快农业农村现代化、扎实推进乡村全面振兴注入更加澎湃的数智动能。\n\n作者：李韶民 农业农村部信息中心副主任\n\n原标题：《专家解读｜乘“数”而上 向“智”而行——大力发展智慧农业 加快建设数字乡村》\n\n[阅读原文](https:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg2ODA4MDIwNg==&mid=2247812104&idx=2&sn=0d26f89082d00b4df0d545a746ae8920&chksm=cf86c6565a4df065b13c07ba7a865f15b705b1f5daea9595cb732f4e76ca7a07f6080524f4d7&scene=7)","澎湃新闻 2026年09月23日","报道",true,93,{"impact":76,"substance":77,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":78},28,24,"农业农村部信息中心专家对《中国数字乡村发展报告（2019—2025年）》的系统解读，含大量权威数据与“十五五”方向判断，政策参考价值高。",[80],{"name":71,"url":68},[82,83,84,85,27,29],"数字乡村","智慧农业","农业人工智能","十五五规划",[87,88],"中国数字乡村发展报告 2019-2025","智慧农业 小农户 社会化服务","中国数字乡村发展报告2019-2025-3289","2026-09-24T00:03:56.916759Z",{"id":92,"title":93,"url":94,"summary":95,"summary_zh":9,"content":9,"source_name":96,"source_url":9,"published_at":97,"category":72,"cover_url":9,"hotness":13,"is_selected":14,"score":98,"score_detail":99,"sources":105,"tags":107,"search_phrases":110,"slug":113,"view_count":36,"doi":9,"paper":9,"created_at":114},1333,"农民日报头版：浙江早稻机插率 77.6%、单季稻机插率 69.8%，双增开局\"十一连丰\"","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260901\u002F20260901_1\u002Fnmrb_20260901_13393_1_2094567702505033746.html","近两年浙江水稻机插率从 46% 提升至 64%；今年早稻机插率 77.6%、单季稻机插率 69.8%，比去年分别增长 16.6 和 11.1 个百分点。全省已建成 339 个农事服务中心、1000 多个农事服务站点，集中育供秧苗能力超过 1 亿盘。早稻机收损失率由 1.77% 降至 1.75%。","农民日报 · 2026-09-01 · 头版","2026-08-31T23:00:00Z",77,{"impact":17,"substance":100,"depth":101,"authority":102,"freshness":103,"relevant":22,"comment":104},20,15,13,7,"省级粮食生产机械化进展显著，数据详实，具有行业参考价值。",[106],{"name":96,"url":94},[108,27,29,109],"浙江","水稻机插",[111,112],"农业社会化服务 水稻机插 粮食安全 浙江","农业社会化服务 水稻机插","农业社会化服务水稻机插粮食安全浙江-1333","2026-09-02T00:05:02.917359Z",{"id":116,"title":117,"url":118,"summary":119,"summary_zh":120,"content":9,"source_name":121,"source_url":118,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":122,"score_detail":123,"sources":126,"tags":128,"search_phrases":133,"slug":136,"view_count":36,"doi":137,"paper":138,"created_at":151},3365,"The Impact of Agricultural Digitization on Green Total Factor Productivity in Agriculture: Evidence from 30 Provinces in China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18199758","Amid tighter resource and environmental limits in China, the integration of digitization and greening gives new momentum to sustainable agriculture; however, its methods and structural conditions remain unclear. This study utilizes provincial panel data from 2011–2023 and the super-efficiency SBM-GML model to estimate agricultural green total factor productivity (AGTFP). It empirically examines the green empowerment effect of agricultural digitization, its transmission pathways, and structural boundaries. Unlike existing studies that rely on input-oriented or rural-level digitalization measures and qualitative regional groupings, this study constructs an agriculture-specific index, identifies agricultural socialized services (ASS) as an organizational channel, examines the moderating role of environmental regulation, and uses a continuous threshold variable to identify the structural breakpoint at which digitization’s green effect changes. The findings indicate that digitization considerably enhances AGTFP, and this association remains stable across a range of robustness checks. Mechanism analysis indicates that ASS partially mediates this effect, while environmental regulation intensity positively moderates the relationship. Heterogeneity and threshold analyses show that the empowering effect is only significant in the eastern region, but not in the central and western regions; it is significant in the main grain-producing areas. Moreover, a tentative structural breakpoint is identified when the grain-sown area proportion reaches 0.486. Since this threshold is statistically significant only at the 10% level, it should be regarded as preliminary evidence. Accordingly, we recommend regionally differentiated digital agriculture strategies, strengthening the socialized agricultural service system, and enhancing synergy between environmental regulation and digital empowerment to effectively advance the green transformation of China’s agriculture.","在中国资源与环境约束趋紧的背景下，数字化与绿色化的融合为可持续农业注入了新动力；然而，其实现路径与结构性条件仍不明确。本研究利用2011—2023年省级面板数据和超效率SBM-GML模型测算农业绿色全要素生产率（AGTFP），实证检验了农业数字化的绿色赋能效应、传导路径及结构边界。与现有研究依赖投入导向或农村层面数字化指标以及定性区域分组不同，本研究构建了农业专属指数，识别出农业社会化服务（ASS）作为组织化渠道，考察了环境规制的调节作用，并使用连续门槛变量识别数字化绿色效应发生变化的结构性断点。研究发现，数字化显著提升了AGTFP，且该关联在一系列稳健性检验中保持稳定。机制分析表明，ASS在其中发挥部分中介作用，而环境规制强度正向调节该关系。异质性与门槛分析显示，赋能效应仅在东部地区显著，在中西部地区不显著；在粮食主产区显著。此外，当粮食播种面积占比达到0.486时，识别出一个初步的结构性断点。由于该门槛仅在10%水平上统计显著，应将其视为初步证据。据此，我们建议采取区域差异化的数字农业策略，强化农业社会化服务体系，并增强环境规制与数字赋能之间的协同效应，以有效推进中国农业绿色转型。","Sustainability",85,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":124,"relevant":22,"comment":125},8,"基于30省面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且时效性一般，适合主题聚合而非每日精选头条。",[127],{"name":121,"url":118},[129,130,131,29,132],"农业绿色发展","农业数字化","粮食主产区","环境规制",[134,135],"农业数字化 绿色全要素生产率","农业社会化服务 环境规制","农业数字化绿色全要素生产率-3365","10.3390\u002Fsu18199758",{"doi":137,"openalex_id":139,"authors":140,"venue":121,"cited_by_count":36,"oa_url":118,"card":145,"direction":58,"ingested_from":60},"W7214071788",[141,143],{"name":142,"orcid":9},"Zhaojuan Meng",{"name":144,"orcid":9},"Guixiang Lin",{"tldr":146,"method":147,"finding":148,"direction":149,"opportunity":150},"基于2011–2023年省级面板数据，检验农业数字化对农业绿色全要素生产率的赋能效应、机制与结构边界","超效率SBM-GML测算AGTFP，构建农业专属数字化指数，中介、调节与连续门槛","数字化显著提升AGTFP，农业社会化服务部分中介，环境规制正向调节，效应仅东部和主产区显著。","农业绿色发展与碳","可深入探究中西部数字化绿色效应缺失的组织与市场条件，并验证粮食播种面积占比0.486的结构断点。","2026-09-24T23:30:25.917176Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":157,"content":9,"source_name":10,"source_url":155,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":158,"score_detail":159,"sources":161,"tags":163,"search_phrases":167,"slug":170,"view_count":36,"doi":171,"paper":172,"created_at":196},3342,"Impact of agricultural greening on food production resilience-empirical evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938875","The Food Production System is generally confronted with external uncertain shocks and rigid constraints from ecological factors. How to strengthen the system’s adaptability and resilience through green transition pathways is a crucial research topic in the field of modern agricultural governance. With the provincial panel data from China, the entropy method is adopted in this paper to measure agricultural greening and food production resilience, and then the two-way fixed-effect model, the moderating-effect model, the threshold-effect model and spatial econometric models are applied for empirical testing. According to the results, the degree of agricultural greening has promoted food production resilience; at the same time, regions show heterogeneity across geographical regions and grain functional zones. Green finance and rural scientific and technological input will also be effective driving forces. There is a single threshold for economic development level; after exceeding it, the marginal promoting effect on resilience weakens, but remains significantly positive. Food production resilience also exhibits significant spatial dependence, and agricultural greening generates positive spillover effects on neighboring provinces under the adjacency-based spatial specification. This paper will provide new ideas for the theory of resilience enhancement and offer some references to help optimize the distribution of agricultural green factors and foster long-term stable grain production.","粮食生产系统普遍面临外部不确定冲击与生态因素的刚性约束。如何通过绿色转型路径增强系统的适应性与韧性，是现代农业农村治理领域的重要研究课题。本文基于中国省级面板数据，采用熵值法测度农业绿色化与粮食生产韧性，进而运用双向固定效应模型、调节效应模型、门槛效应模型及空间计量模型进行实证检验。结果表明，农业绿色化程度提升了粮食生产韧性；同时，不同地理区域与粮食功能区呈现出异质性。绿色金融与农村科技投入也是有效的驱动力量。经济发展水平存在单一门槛，跨越门槛后对韧性的边际促进效应减弱，但仍显著为正。粮食生产韧性还表现出显著的空间依赖性，在邻接空间设定下，农业绿色化对邻近省份产生正向溢出效应。本文将为韧性提升理论提供新思路，并为优化农业绿色要素配置、促进粮食长期稳定生产提供一定参考。",79,{"impact":19,"substance":17,"depth":19,"authority":102,"freshness":124,"relevant":22,"comment":160},"基于中国省级面板数据的实证研究，方法扎实、结论有政策参考价值，但属学术论文而非产业级事件，适合进入主题聚合而非头条精选。",[162],{"name":10,"url":155},[129,164,165,166,30],"粮食生产韧性","农业科技投入","绿色金融",[168,169],"农业绿色化 粮食生产韧性","绿色金融 农村科技投入","农业绿色化粮食生产韧性-3342","10.3389\u002Ffsufs.2026.1938875",{"doi":171,"openalex_id":173,"authors":174,"venue":10,"cited_by_count":36,"oa_url":155,"card":191,"direction":149,"ingested_from":60},"W7214113879",[175,177,180,182,184,186,189],{"name":176,"orcid":9},"Huimin Shao",{"name":178,"orcid":179},"Wenjuan Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-5062-1292",{"name":181,"orcid":9},"Qiong Peng",{"name":183,"orcid":9},"Haichuan Liu",{"name":185,"orcid":9},"Liangyan Lu",{"name":187,"orcid":188},"Mcxin Tee","https:\u002F\u002Forcid.org\u002F0000-0001-7990-8377",{"name":190,"orcid":9},"Qing Jin",{"tldr":192,"method":193,"finding":194,"direction":149,"opportunity":195},"基于中国省级面板数据，实证检验农业绿色化对粮食生产韧性的提升作用。","熵值法测度指标，双向固定效应、调节效应、门槛效应与空间计量模型。","农业绿色化显著提升粮食生产韧性，存在区域异质性、经济门槛及正向空间溢出。","可探究绿色金融与科技投入的协同机制，及跨区域溢出路径的微观落地。","2026-09-24T23:30:07.857044Z",{"id":198,"title":199,"url":200,"summary":201,"summary_zh":202,"content":9,"source_name":10,"source_url":200,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":158,"score_detail":203,"sources":205,"tags":207,"search_phrases":212,"slug":215,"view_count":36,"doi":216,"paper":217,"created_at":237},3334,"Food waste in traditional cultural foods: evidence from the mooncake industry in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1910791","Introduction Food waste was detrimental to both consumers and society, while reducing food waste was conducive to ensuring food security and environmental sustainability. Mooncake, a traditional Chinese festival food, symbolizes reunion and auspiciousness during the Mid-Autumn Festival. Methods The Chinese food manufacturing industry faced dual challenges of scale expansion and profit decline. However, data from mooncake enterprises revealed that overcapacity exacerbated supply-demand imbalances, necessitating a shift from extensive growth to operational optimization. This study utilizes a comprehensive dataset comprising both enterprises mooncake data and consumers mooncake data. Through a nationwide field survey, 4133 valid consumer samples were collected. Results The findings indicated that the behavior of mooncake waste by consumers was quite common, with a per capita annual mooncake waste by consumers were 129.67 grams. This meant that approximately one-third of the total production annual of mooncake enterprises was wasted. The mooncake wastage behavior of consumers was associated with factors such as marital status and income. Discussion These insights could offer valuable references for mooncake enterprises to refine their strategies and reflected societal acceptance of traditional culture. This study provided actionable recommendations for integrating traditional cultural foods into the modern food consumer market.","引言 食物浪费对消费者和社会均有害，而减少食物浪费有助于保障粮食安全和环境可持续性。月饼作为中国传统节日食品，在中秋节象征着团圆和吉祥。方法 中国食品制造业面临规模扩张与利润下降的双重挑战。然而，来自月饼企业的数据显示，产能过剩加剧了供需失衡，亟需从粗放式增长转向运营优化。本研究利用包含企业月饼数据和消费者月饼数据的综合数据集。通过全国性实地调查，收集了4133份有效消费者样本。结果 研究结果表明，消费者月饼浪费行为相当普遍，消费者人均每年月饼浪费量为129.67克。这意味着月饼企业年总产量中约有三分之一被浪费。消费者的月饼浪费行为与婚姻状况和收入等因素相关。讨论 这些见解可为月饼企业优化策略提供有价值的参考，并反映了社会对传统文化的接受程度。本研究为将传统文化食品融入现代食品消费市场提供了可操作的建议。",{"impact":19,"substance":17,"depth":19,"authority":102,"freshness":124,"relevant":22,"comment":204},"基于4133份全国消费者调查的月饼浪费实证研究，数据扎实、结论有产业参考价值，但属细分行业议题，影响力有限。",[206],{"name":10,"url":200},[27,208,209,210,211],"食物浪费","月饼产业","传统食品","消费行为",[213,214],"月饼产业 食物浪费 中国","传统食品 月饼产业 消费行为 粮食安全","月饼产业食物浪费中国-3334","10.3389\u002Ffsufs.2026.1910791",{"doi":216,"openalex_id":218,"authors":219,"venue":10,"cited_by_count":36,"oa_url":200,"card":232,"direction":58,"ingested_from":60},"W7214090391",[220,222,225,228,230],{"name":221,"orcid":9},"Panpan Zhang",{"name":223,"orcid":224},"Li Liu","https:\u002F\u002Forcid.org\u002F0000-0002-0903-9679",{"name":226,"orcid":227},"Xiaohua Zhu","https:\u002F\u002Forcid.org\u002F0000-0003-0495-9510",{"name":229,"orcid":9},"Fangyuan Sun",{"name":231,"orcid":9},"Jing Lin",{"tldr":233,"method":234,"finding":235,"direction":58,"opportunity":236},"基于全国4133份消费者调查，量化中国月饼消费浪费并分析其影响因素。","全国实地问卷调查4133份消费者数据，结合月饼企业数据统计分析。","消费者人均年浪费月饼129.67克，约占总产量三分之一，与婚姻和收入相关。","可延伸至传统节日食品供应链数字化与需求预测，减少产能过剩型浪费。","2026-09-24T23:30:07.290297Z",{"id":239,"title":240,"url":241,"summary":242,"summary_zh":9,"content":9,"source_name":243,"source_url":241,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":244,"score_detail":245,"sources":248,"tags":250,"search_phrases":255,"slug":258,"view_count":36,"doi":259,"paper":260,"created_at":277},3329,"Nonlinear threshold effects of waterlogging stress on crop productivity across China: A remote sensing-based macro-assessment","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104985","Nonlinear threshold effects of waterlogging stress on crop productivity across China: A remote sensing-based macro-assessment。Agricultural Systems","Agricultural Systems",84,{"impact":17,"substance":246,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":247},21,"基于遥感开展全国尺度涝渍胁迫非线性阈值评估，方法新颖、结论具宏观参考价值，值得进入每日精选。",[249],{"name":243,"url":241},[27,251,252,253,254],"农业气象","作物产量","遥感监测","涝渍胁迫",[256,257],"全国 涝渍胁迫 作物产量 遥感","作物产量 农业气象 涝渍胁迫 粮食安全","全国涝渍胁迫作物产量遥感-3329","10.1016\u002Fj.agsy.2026.104985",{"doi":259,"openalex_id":261,"authors":262,"venue":243,"cited_by_count":36,"oa_url":9,"card":9,"direction":9,"ingested_from":60},"W7214084384",[263,265,267,269,271,273,275],{"name":264,"orcid":9},"Yi Yang",{"name":266,"orcid":9},"Shuyang Wu",{"name":268,"orcid":9},"Tianqi Ge",{"name":270,"orcid":9},"Weimin Jin",{"name":272,"orcid":9},"Hanqing Wu",{"name":274,"orcid":9},"Bofu Zheng",{"name":276,"orcid":9},"Wei Wan","2026-09-24T23:30:04.275048Z"]