[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3264":3,"related-3264":77},{"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":23,"tags":25,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":56,"slug":59,"view_count":60,"doi":61,"paper":62,"created_at":76},3264,"Rural industrial integration and household-driven scale in agribusiness: the role of e-commerce sales and contract premium","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1897280","Rural industrial integration (RII) serves as a core pathway for driving comprehensive rural revitalization, with leading agribusiness firms acting as key drivers of this integration while also bearing the important social responsibility of promoting the development of rural households. To investigate the impact of RII on the scale of households driven by leading agribusiness firms, this study employed panel data from monitoring surveys of leading agribusiness firms in Jiangxi Province from 2021 to 2023, and applied random-effects models and mediation models for analysis. The results show that (1) RII significantly expands the scale of households driven by leading agribusiness firms (2) exploratory boundary condition analyses suggest that this promoting effect appears to be relatively stable across firms with different debt levels and management quality levels; and (3) mechanism analysis reveals that e-commerce sales serves as a significant transmission pathway through which RII influences the expansion of household scale, with its indirect effect being positive and statistically significant; the transmission effect of the contract premium pathway, however, does not receive sufficient statistical support. Based on these findings, we recommend the continued promotion of rural industrial integration, with a focus on supporting the development of e-commerce sales channels, while cautiously exploring and refining the contract premium mechanism.","农村产业融合（RII）是推动乡村全面振兴的核心路径，而农业产业化龙头企业既是这一融合的关键驱动者，也承担着带动农户发展的重要社会责任。为探究农村产业融合对龙头企业带动农户规模的影响，本研究采用江西省2021年至2023年龙头企业监测调查的面板数据，运用随机效应模型和中介模型进行分析。结果表明：（1）农村产业融合显著扩大了龙头企业带动的农户规模；（2）探索性边界条件分析显示，这一促进效应在不同负债水平和管理质量水平的企业间似乎相对稳定；（3）机制分析发现，电商销售是农村产业融合影响农户规模扩大的显著传导路径，其间接效应为正且具有统计显著性；而合同溢价路径的传导效应则未获得充分的统计支持。基于上述发现，我们建议继续推进农村产业融合，重点支持电商销售渠道的发展，同时审慎探索和完善合同溢价机制。",null,"Frontiers in Sustainable Food 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Province)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.034","基于2014—2022年浙江省县域面板数据，用系统GMM检验数字经济对农业产业韧性的影响。数字经济有效赋能农业产业韧性，农村产业融合、涉农科技创新、农业产业化为重要传导机制。非山区县促进作用明显高于山区县。","中国农机化学报 2026-10-20","2026-10-20T00:00:00Z",79,{"impact":89,"substance":90,"depth":19,"authority":20,"freshness":91,"relevant":21,"comment":92},18,22,9,"基于浙江县域面板数据的实证研究，方法规范、结论有新意，对数字乡村与农业韧性议题有参考价值，但属省级实证、影响范围有限。",[94],{"name":85,"url":83},[26,96,97,29,98],"农业经济韧性","县域经济","涉农科技",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":101},{"candidates":102,"agricultural_evidence":54,"reason":55},[103,107],{"code":45,"score":40,"supported":14,"title":104,"abstract":105,"tags":106},[],[],[29,97],{"code":50,"score":21,"supported":14,"title":108,"abstract":109,"tags":110},[],[],[26],[112,113],"浙江省 县域面板 农业韧性","数字经济 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农用无人机","农用无人机作业面积4亿亩-4707","2026-10-12T00:10:55.212922Z",{"id":237,"title":238,"url":239,"summary":240,"summary_zh":9,"content":9,"source_name":241,"source_url":9,"published_at":242,"category":132,"cover_url":9,"hotness":13,"is_selected":14,"score":243,"score_detail":244,"sources":247,"tags":249,"primary_topic":253,"secondary_topics":259,"classification":260,"search_phrases":280,"slug":283,"view_count":159,"doi":9,"paper":9,"created_at":284},3594,"云南举办林下经济'政科企'对接活动——'农科云品'品牌培育孵化平台集中亮相","https:\u002F\u002Fwww.yn.news.cn\u002F20260925\u002Fef619cfaa5204d0daa6e5729af1564fc\u002Fc.html","云南省林下经济'政科企'对接暨'农科云品'助农增收招商推介昆明专场在云南省农业科学院举办。活动由昆明市人民政府、云南省林业和草原局、云南省农业科学院、中国农业科学院都市农业研究所、云南省投资控股集团有限公司主办，以'聚林下势能 塑云品品牌'为主题。'农科云品'依托农产品全链条数字化运营体系，整合全省农林优质资源，构建直播电商、供应链协同、品牌孵化于一体的产业矩阵。9月22日至24日，第九届中国农民丰收节暨'农科云品'助农增收产销对接活动在云南省农科院品牌运营中心开展，共设置标准展位280个。","新华网云南频道 2026-09-25","2026-09-25T00:00:00Z",65,{"impact":89,"substance":245,"depth":20,"authority":213,"freshness":60,"relevant":21,"comment":246},15,"省级政科企对接活动，含数字化运营与品牌孵化实质内容，但属常规推介报道，增量有限。",[248],{"name":241,"url":239},[26,27,250,251,252],"林下经济","品牌孵化","政科企对接",{"code":254,"slug":255,"name":256,"path":257,"parent_code":258},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","J",[],{"status":150,"locked":14,"version":34,"method":35,"evidence":261},{"candidates":262,"agricultural_evidence":54},[263,268,272,276],{"code":254,"score":159,"supported":54,"title":264,"abstract":265,"tags":267},[],[266],"丰收节",[],{"code":39,"score":21,"supported":14,"title":269,"abstract":270,"tags":271},[],[],[27],{"code":45,"score":21,"supported":14,"title":273,"abstract":274,"tags":275},[],[],[250],{"code":50,"score":21,"supported":14,"title":277,"abstract":278,"tags":279},[],[],[26],[281,282],"云南 农科云品 林下经济","云南省农科院 农科云品 产销对接","云南农科云品林下经济-3594","2026-09-27T00:05:16.850557Z",{"id":286,"title":287,"url":288,"summary":289,"summary_zh":9,"content":9,"source_name":10,"source_url":9,"published_at":290,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":291,"score_detail":292,"sources":295,"tags":297,"primary_topic":300,"secondary_topics":301,"classification":302,"search_phrases":330,"slug":333,"view_count":196,"doi":334,"paper":335,"created_at":342},3244,"Determinants of farmers' intention to adopt agricultural e-commerce livestreaming: a sequential mixed-methods study in Beijing（农户农产品电商直播采纳意愿的驱动因素：北京序贯混合方法研究）","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1944907\u002Ffull","Frontiers in Sustainable Food Systems 10:1944907 发表研究：基于2026年北京农户序贯混合方法研究，综合扎根理论与结构方程模型探讨农户采纳农产品电商直播的意愿及其驱动因素。研究指出，农产品电商直播作为精准农业的关键应用，越来越多地采用人工智能（特别是人工神经网络）以提升作物预测、推荐、生产力和农事决策。研究识别出农户采纳意愿的核心驱动机制：相对优势、复杂性、兼容性、社会影响、感知风险以及政府支持等关键变量。研究强调了数字农商人才培养的重要性，为数字赋能小农户衔接大市场提供理论框架与政策启示。","2026-09-21T00:00:00Z",70,{"impact":213,"substance":293,"depth":17,"authority":20,"freshness":91,"relevant":21,"comment":294},20,"基于北京农户的序贯混合方法研究，方法规范、结论有新意，但属区域样本的学术成果，公共影响有限，适合作为主题页聚合素材而非头条精选。",[296],{"name":10,"url":288},[26,140,298,27,299],"农户采纳","直播助农",{"code":39,"slug":144,"name":145,"path":146,"parent_code":147},[],{"status":150,"locked":14,"version":34,"method":35,"evidence":303},{"candidates":304,"agricultural_evidence":54},[305,310,317,322,326],{"code":39,"score":18,"supported":54,"title":306,"abstract":308,"tags":309},[27,307],"agricultural e-commerce",[27],[27,299],{"code":311,"score":312,"supported":54,"title":313,"abstract":314,"tags":316},"G2",4,[],[315],"小农户",[298],{"code":165,"score":159,"supported":54,"title":318,"abstract":319,"tags":321},[],[320],"精准农业",[],{"code":171,"score":21,"supported":14,"title":323,"abstract":324,"tags":325},[],[],[140],{"code":50,"score":21,"supported":14,"title":327,"abstract":328,"tags":329},[],[],[26],[331,332],"北京 农户 农产品电商直播","农户采纳意愿 结构方程","北京农户农产品电商直播-3244","10.3389\u002Ffsufs.2026.1944907\u002Ffull",{"doi":334,"openalex_id":9,"authors":336,"venue":9,"cited_by_count":68,"oa_url":9,"card":337,"direction":73,"ingested_from":123},[],{"tldr":338,"method":339,"finding":340,"direction":73,"opportunity":341},"基于北京农户序贯混合方法，研究农产品电商直播采纳意愿的驱动因素。","扎根理论结合结构方程模型，调查北京农户采纳意愿数据。","相对优势、兼容性、社会影响、政府支持等显著影响农户采纳意愿。","可延伸至AI直播推荐、数字农商人才培养与政府支持政策的交互机制研究。","2026-09-23T00:04:32.988284Z",{"id":344,"title":345,"url":346,"summary":347,"summary_zh":348,"content":9,"source_name":10,"source_url":346,"published_at":349,"category":12,"cover_url":9,"hotness":350,"is_selected":14,"score":351,"score_detail":352,"sources":354,"tags":359,"primary_topic":9,"secondary_topics":363,"classification":364,"search_phrases":404,"slug":407,"view_count":60,"doi":408,"paper":409,"created_at":426},2627,"How does agricultural digitalization drive green total factor productivity? Evidence from rural industrial integration, data factor allocation, and spatial effects in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1852421","Introduction Digital empowerment accelerates cross-sectoral integration within the rural economy, driving profound structural shifts in agricultural development. Methods Using a provincial-level panel dataset from China spanning 2012 to 2022, this study constructs comprehensive indices to assess agricultural digitalization, rural industrial integration, and data factor allocation. By employing mediation, moderation, and spatial Durbin models, this research investigates the underlying mechanisms through which agricultural digitalization affects agricultural green total factor productivity. Results The empirical results demonstrate that agricultural digitalization significantly enhances AGTFP, a finding that is robust to a battery of specification checks. Mechanism analysis reveals that rural industrial integration serves as a crucial partial mediator in this relationship. Furthermore, optimizing data factor allocation positively moderates and thereby amplifies the impact of agricultural digitalization on AGTFP. Spatial analysis indicates that agricultural digitalization generates positive spatial spillover effects, boosting AGTFP in both local and neighboring regions. Finally, heterogeneity analyses reveal that this positive effect is particularly pronounced in the Eastern region and in areas with high levels of urban-rural integration, and it remains robust across both major and non-major grain-producing areas. Discussion Ultimately, this study deepens the understanding of the digitalization-sustainability nexus in agriculture, underscoring the vital role of advancing rural industrial integration and optimizing data factor allocation in driving green productivity.","引言 数字赋能加速了农村经济内部的跨部门融合，推动农业发展发生深刻的结构性变革。方法 本研究利用中国2012年至2022年的省级面板数据集，构建了农业数字化、农村产业融合和数据要素配置的综合指数。通过采用中介模型、调节模型和空间杜宾模型，本研究探讨了农业数字化影响农业绿色全要素生产率的潜在机制。结果 实证结果表明，农业数字化显著提升了农业绿色全要素生产率（AGTFP），这一发现在一系列设定检验中保持稳健。机制分析揭示，农村产业融合在这一关系中起到了关键的部分中介作用。此外，优化数据要素配置对这一关系产生了正向调节作用，从而放大了农业数字化对AGTFP的影响。空间分析表明，农业数字化产生了正向空间溢出效应，提升了本地及邻近地区的AGTFP。最后，异质性分析显示，这一正向效应在东部地区和城乡融合水平较高的地区尤为显著，且在粮食主产区和非主产区均保持稳健。讨论 最终，本研究深化了对农业数字化与可持续性关系的理解，凸显了推进农村产业融合和优化数据要素配置在推动绿色生产力方面的重要作用。","2026-09-16T00:00:00Z",25,81,{"impact":89,"substance":90,"depth":89,"authority":20,"freshness":13,"relevant":21,"comment":353},"基于2012—2022年省级面板数据的实证研究，揭示农业数字化通过农村产业融合与数据要素配置提升农业绿色全要素生产率并具空间溢出效应，方法规范、结论有政策参考价值，值得进入每日精选。",[355,356],{"name":10,"url":346},{"name":357,"url":358},"辽宁大学经济学院 2026 年 10 月 13 日 报道","https:\u002F\u002Fwww.lnu.edu.cn\u002Finfo\u002F15114\u002F84907.htm",[26,360,361,362,29],"数据要素","农业数字化","绿色全要素生产率",[],{"status":365,"locked":14,"version":34,"method":35,"evidence":366},"needs_review",{"candidates":367,"agricultural_evidence":54,"reason":403},[368,375,382,386,390,395,399],{"code":369,"score":78,"supported":54,"title":370,"abstract":371,"tags":374},"G6",[],[372,373],"城乡融合","urban-rural integration",[],{"code":376,"score":78,"supported":54,"title":377,"abstract":378,"tags":381},"I4",[],[379,380],"空间分析","spatial analysis",[],{"code":50,"score":196,"supported":54,"title":383,"abstract":384,"tags":385},[],[360],[26,360],{"code":45,"score":21,"supported":14,"title":387,"abstract":388,"tags":389},[],[],[29],{"code":391,"score":21,"supported":14,"title":392,"abstract":393,"tags":394},"H4",[],[],[362],{"code":207,"score":21,"supported":14,"title":396,"abstract":397,"tags":398},[],[],[361],{"code":165,"score":21,"supported":14,"title":400,"abstract":401,"tags":402},[],[],[361],"多个产业证据相当，需要确认主归属",[405,406],"绿色全要素生产率 农村产业融合 农业数字化 数字乡村","绿色全要素生产率 农村产业融合","绿色全要素生产率农村产业融合农业数字化数字乡村-2627","10.3389\u002Ffsufs.2026.1852421",{"doi":408,"openalex_id":410,"authors":411,"venue":10,"cited_by_count":68,"oa_url":346,"card":420,"direction":424,"ingested_from":75},"W7213309985",[412,414,417],{"name":413,"orcid":9},"Yijia Zhou",{"name":415,"orcid":416},"Jun He","https:\u002F\u002Forcid.org\u002F0000-0003-4839-3950",{"name":418,"orcid":419},"Jun Chen","https:\u002F\u002Forcid.org\u002F0000-0001-7397-2714",{"tldr":421,"method":422,"finding":423,"direction":424,"opportunity":425},"基于中国省级面板数据，揭示农业数字化通过产业融合与数据要素配置提升农业绿色全要素生产率。","2012-2022年省级面板数据，构建综合指数，用中介、调节与空间杜宾模型。","农业数字化显著提升AGTFP，农村产业融合起部分中介作用，数据要素配置正向调节，且具正向空间溢出。","农业绿色发展与碳","可深入微观地块或县域尺度，探究数据要素配置的阈值效应及跨区域溢出衰减机制。","2026-09-16T23:30:07.645013Z"]