[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3445":3,"related-3445":45},{"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,"search_phrases":30,"slug":33,"view_count":34,"doi":8,"paper":35,"created_at":44},3445,"《产业链视角下电商驱动农业数字化转型的理论解构与案例分析——兼论农业'产业大脑'的经验启示》","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fzgncgc\u002Fmulu\u002F646984.html","王昕天、荆林波、冯章伟基于产业链视角从技术采纳模型和产业链联动效应出发，建立电商驱动农业数字化转型两阶段模型。通过临安山核桃、武乡小米和新平脐橙三个农业特色产业案例比较，提炼电商驱动农业数字化转型的特征：本质是农业借助数字技术实现农产品商品化、农业功能多样化和涉农服务价值化；农业社会化服务滞后是重要制约；数据开放共享是关键支撑；标准化程度是影响农业数字化转型扩散的核心要素。",null,"《中国农村经济》\u002F宁波大学商学院","2026-09-20T00:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,6,1,"核心期刊论文，以三地特色产业案例构建电商驱动农业数字化转型两阶段模型，理论增量与案例比较扎实，对数字乡村与产业大脑实践有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"农村电商","农业数字化","农业产业链","产业大脑","农业社会化服务",[31,32],"临安山核桃 电商 数字化","武乡小米 新平脐橙 产业链","临安山核桃电商数字化-3445",0,{"doi":8,"openalex_id":8,"authors":36,"venue":8,"cited_by_count":34,"oa_url":8,"card":37,"direction":41,"ingested_from":43},[],{"tldr":38,"method":39,"finding":40,"direction":41,"opportunity":42},"从产业链视角构建电商驱动农业数字化转型的两阶段模型，并用三个特色产业案例验证。","技术采纳模型与产业链联动效应，比较临安山核桃、武乡小米、新平脐橙案例。","转型本质是农产品商品化、农业功能多样化与服务价值化；社会化服务滞后、数据共享与标准化是关键。","数字乡村与农业信息化","可量化测度社会化服务、数据开放与标准化对转型扩散的影响，并探索农业'产业大脑'的落地机制。","agent","2026-09-25T00:09:34.507410Z",{"total":19,"page":20,"page_size":19,"items":46},[47,86,113,156,184,210],{"id":48,"title":49,"url":50,"summary":51,"summary_zh":52,"content":8,"source_name":53,"source_url":50,"published_at":54,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":55,"score_detail":56,"sources":60,"tags":62,"search_phrases":66,"slug":69,"view_count":34,"doi":70,"paper":71,"created_at":85},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","2026-09-23T00:00:00Z",85,{"impact":17,"substance":57,"depth":16,"authority":18,"freshness":58,"relevant":20,"comment":59},23,8,"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。",[61],{"name":53,"url":50},[63,26,64,29,65],"农业绿色发展","粮食主产区","环境规制",[67,68],"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":70,"openalex_id":72,"authors":73,"venue":53,"cited_by_count":34,"oa_url":50,"card":78,"direction":41,"ingested_from":84},"W7214071788",[74,76],{"name":75,"orcid":8},"Zhaojuan Meng",{"name":77,"orcid":8},"Guixiang Lin",{"tldr":79,"method":80,"finding":81,"direction":82,"opportunity":83},"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。","openalex","2026-09-24T23:30:25.917176Z",{"id":87,"title":88,"url":89,"summary":90,"summary_zh":8,"content":8,"source_name":91,"source_url":8,"published_at":54,"category":92,"cover_url":8,"hotness":12,"is_selected":93,"score":94,"score_detail":95,"sources":101,"tags":103,"search_phrases":108,"slug":111,"view_count":34,"doi":8,"paper":8,"created_at":112},3291,"让数智技术更好服务强农惠农富农——《数字乡村高质量发展行动计划（2026—2030年）》解读：智慧农业聚焦增产增效","https:\u002F\u002Fwww.cnii.com.cn\u002Frmydb\u002F202609\u002Ft20260923_761964.html","中国信息通信研究院政策与经济研究所副研究员赵佳佳解读：面向十五五，智慧农业是推动产量产能、生产生态、增产增收协同发展的重要支撑。应推广人工智能与农业融合应用场景，结合智能育种、无人农机作业等方向的研发与试验，让技术更好适应农业生产需求。农业社会化服务是数智技术落地的重要依托，应让数字化、智能化手段更好服务农户的生产需要。北京大学现代农学院中国农业政策研究中心研究员王悦：2025年全国农村网络零售额首次突破3万亿元；十五五将构建多层次农村电商综合服务体系，培育多元化新型农村电商主体；推进县级物流配送中心、乡镇快递网点数字化、智能化改造；在确保安全前提下按需有序推广低空物流。","中国工信新闻网 2026年09月23日","报道",true,86,{"impact":96,"substance":17,"depth":97,"authority":98,"freshness":99,"relevant":20,"comment":100},26,17,12,9,"国家级数字乡村行动计划解读，含权威专家观点与最新数据，政策与产业价值兼具，值得进入每日精选。",[102],{"name":91,"url":89},[25,104,105,106,29,107],"十五五","数字乡村","智慧农业","低空物流",[109,110],"农村网络零售额 3万亿","农业社会化服务 低空物流 农村电商 数字乡村","农村网络零售额3万亿-3291","2026-09-24T00:03:57.043607Z",{"id":114,"title":115,"url":116,"summary":117,"summary_zh":118,"content":8,"source_name":119,"source_url":116,"published_at":120,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":94,"score_detail":121,"sources":123,"tags":125,"search_phrases":128,"slug":131,"view_count":34,"doi":132,"paper":133,"created_at":155},3193,"Does Agricultural Unmanned Aerial Vehicle Use Improve Grain Production Efficiency? Evidence from Rural China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodpol.2026.103196","Enhancing grain production efficiency (GPE) is critical for ensuring food security and promoting a more resource-efficient agricultural transformation, particularly in smallholder systems where conventional machinery faces scale and terrain constraints. China’s rapid adoption of agricultural Unmanned Aerial Vehicles (UAVs) offers an opportunity to assess whether digital machinery can improve efficiency without relying on farm expansion. Yet evidence on how UAV use intensity affects GPE, and on the conditions under which gains emerge, remains limited. Using data from 2,030 grain-producing households across nine provinces in the 2022 China Rural Revitalisation Survey, we measure GPE using a super-efficiency slacks-based measure model and estimate the effects of UAV use intensity. The results show a significant U-shaped relationship between UAV use intensity and GPE, with efficiency gains emerging only after UAV use intensity exceeds a certain threshold. UAV use affects GPE primarily through labour substitution and is nonlinearly associated with pesticide inputs. Besides, village-level agricultural service organisations strengthen the positive effects of UAV use, indicating that service provision complements the use of technology. The efficiency effects are stronger in western China and rice production systems, where conventional machinery is relatively constrained. These findings suggest that the benefits of agricultural UAVs depend not simply on adoption, but on sufficiently intensive use and supportive service institutions. Policies that expand access to UAV services and promote their effective integration into farm operations can improve factor allocation and grain production efficiency, especially in areas where conventional mechanisation is less adaptable. More broadly, these efforts can support agricultural digitalisation and sustainable agricultural modernisation.","提升粮食生产效率（GPE）对于保障粮食安全和推动资源节约型农业转型至关重要，尤其是在常规机械面临规模和地形约束的小农户体系中。中国农业无人机（UAV）的快速普及，为评估数字机械能否在不依赖农场规模扩大的情况下提升效率提供了契机。然而，关于无人机使用强度如何影响粮食生产效率以及增益在何种条件下显现的证据仍然有限。基于2022年中国乡村振兴调查中九个省份2030个粮食种植户的数据，我们采用超效率松弛测度模型测算粮食生产效率，并估计无人机使用强度的影响。结果表明，无人机使用强度与粮食生产效率之间呈显著的U型关系，效率增益仅在无人机使用强度超过一定阈值后才会显现。无人机使用主要通过劳动替代影响粮食生产效率，并与农药投入呈非线性关联。此外，村级农业服务组织强化了无人机使用的正向效应，表明服务供给与技术使用具有互补性。效率效应在中国西部和水稻生产体系中更强，这些地区常规机械受约束相对较大。这些发现表明，农业无人机的效益不仅取决于是否采用，还取决于足够密集的使用和支持性服务制度。扩大无人机服务可及性并促进其有效融入农场经营的政策，可以改善要素配置和粮食生产效率，尤其是在常规机械化适应性较差的地区。更广泛而言，这些努力能够支持农业数字化和可持续农业现代化。","Food Policy","2026-09-21T00:00:00Z",{"impact":17,"substance":57,"depth":16,"authority":18,"freshness":99,"relevant":20,"comment":122},"基于2030户九省调查的实证研究，揭示无人机使用强度与粮食生产效率的U型关系及服务组织互补作用，方法规范、结论有政策价值，值得进入每日精选。",[124],{"name":119,"url":116},[106,126,26,29,127],"农业无人机","粮食生产效率",[129,130],"农业无人机 粮食生产效率","中国农村振兴调查 无人机","农业无人机粮食生产效率-3193","10.1016\u002Fj.foodpol.2026.103196",{"doi":132,"openalex_id":134,"authors":135,"venue":119,"cited_by_count":34,"oa_url":116,"card":149,"direction":41,"ingested_from":84},"W7213921092",[136,138,141,143,146],{"name":137,"orcid":8},"Xia Xu",{"name":139,"orcid":140},"Xianhui Geng","https:\u002F\u002Forcid.org\u002F0000-0003-3998-7589",{"name":142,"orcid":8},"Zhenzhen Liu",{"name":144,"orcid":145},"Guangqiao Cao","https:\u002F\u002Forcid.org\u002F0000-0002-9364-3376",{"name":147,"orcid":148},"Peng Yuan","https:\u002F\u002Forcid.org\u002F0000-0003-3019-0688",{"tldr":150,"method":151,"finding":152,"direction":153,"opportunity":154},"基于中国农村调查数据，研究无人机使用强度对粮食生产效率的影响及条件。","2022年中国乡村振兴调查2030户数据，超效率SBM模型测效率。","无人机使用强度与粮食生产效率呈U型关系，需超过阈值才增效，主要通过劳动替代。","智慧农业 \u002F 农业物联网","可探究无人机服务组织与农户技术采纳的协同机制，及不同作物和区域的最优使用强度阈值。","2026-09-22T23:30:32.180844Z",{"id":157,"title":158,"url":159,"summary":160,"summary_zh":8,"content":8,"source_name":161,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":162,"score_detail":163,"sources":167,"tags":169,"search_phrases":172,"slug":175,"view_count":34,"doi":8,"paper":176,"created_at":183},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",56,{"impact":58,"substance":18,"depth":164,"authority":165,"freshness":19,"relevant":20,"comment":166},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。",[168],{"name":161,"url":159},[105,27,170,171],"数字化转型","涉农企业",[173,174],"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",{"doi":8,"openalex_id":8,"authors":177,"venue":8,"cited_by_count":34,"oa_url":8,"card":178,"direction":41,"ingested_from":43},[],{"tldr":179,"method":180,"finding":181,"direction":41,"opportunity":182},"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":185,"title":186,"url":187,"summary":188,"summary_zh":8,"content":8,"source_name":189,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":190,"sources":192,"tags":194,"search_phrases":198,"slug":201,"view_count":34,"doi":8,"paper":202,"created_at":209},3447,"《农业数字化的碳减排效应：理论分析与经验证据》——基于2005—2022年省级面板数据","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fhznydxxbshkxb\u002Fmulu\u002F559174.html","在测度各省农业数字化转型水平的基础上，使用扩展的STIRPAT模型和2005—2022年省级面板数据对中国农业数字化的碳减排效应及其作用机制进行检验。结果表明：数字化显著促进了农业碳减排，绿色技术创新尤其是实质性绿色技术创新是其中重要的作用机制；异质性分析发现在东部地区、人力资本水平高和数字基础设施发达的省份效果更加显著；面板门槛回归结果表明数字化对农业碳排放的影响存在基于自身发展水平的双重门槛效应。","《华中农业大学学报（社会科学版）》",{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":191},"基于2005—2022年省级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。",[193],{"name":189,"url":187},[105,195,26,196,197],"农业碳减排","省级面板数据","绿色技术创新",[199,200],"农业数字化 碳减排 省级面板","绿色技术创新 农业碳排放","农业数字化碳减排省级面板-3447",{"doi":8,"openalex_id":8,"authors":203,"venue":8,"cited_by_count":34,"oa_url":8,"card":204,"direction":82,"ingested_from":43},[],{"tldr":205,"method":206,"finding":207,"direction":82,"opportunity":208},"基于2005—2022年省级面板数据，检验农业数字化的碳减排效应及其机制。","扩展STIRPAT模型、面板门槛回归与省级面板数据。","数字化显著促进农业碳减排，绿色技术创新是重要机制，且存在双重门槛效应。","可探究数字化碳减排的非线性门槛与区域异质性，识别最优数字化水平区间。","2026-09-25T00:09:34.643179Z",{"id":211,"title":212,"url":213,"summary":214,"summary_zh":8,"content":8,"source_name":215,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":216,"score_detail":217,"sources":220,"tags":222,"search_phrases":225,"slug":228,"view_count":34,"doi":8,"paper":229,"created_at":236},3443,"《数字赋能农业碳减排的组态效应分析》——基于河南省各省辖市2011—2022年数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F174647.html","孟凡琳、赵冰冰、李炳军利用碳排放因子法测度2011—2022年河南省各省辖市农业碳排放量，运用模糊集定性比较分析法（fsQCA）分析数字赋能河南农业碳减排的组态效应。结果：河南省农业碳排放强度在2011—2022年总体呈下降趋势，化肥施用和翻耕是主要来源；农业碳排放强度降低是数字基础设施、技术创新、农业数字化和数字金融多因素相互耦合结果；2011—2015年完善的数字基础设施是核心驱动因素，2016—2022年农业数字化的碳减排作用更为显著。","《河南农业大学学报》2026年第2期",76,{"impact":218,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":219},16,"基于河南18个省辖市11年面板数据的fsQCA组态研究，方法规范、结论有新意，对数字乡村与农业低碳政策有参考价值，但属省级区域实证，影响力有限。",[221],{"name":215,"url":213},[105,195,26,223,224],"河南农业","fsQCA",[226,227],"河南 农业碳排放 数字赋能","河南农业大学学报 农业碳减排","河南农业碳排放数字赋能-3443",{"doi":8,"openalex_id":8,"authors":230,"venue":8,"cited_by_count":34,"oa_url":8,"card":231,"direction":82,"ingested_from":43},[],{"tldr":232,"method":233,"finding":234,"direction":82,"opportunity":235},"基于河南2011-2022年数据，用fsQCA分析数字赋能农业碳减排的组态效应。","碳排放因子法测度碳排放，模糊集定性比较分析（fsQCA）。","碳强度总体下降，化肥和翻耕为主源；减排是多因素耦合，核心驱动从数字基建转向农业数字化。","可拓展至多省比较或结合面板数据，探究数字技术减排组态的时空异质性与因果机制。","2026-09-25T00:09:34.373665Z"]