[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3443":3,"related-3443":46},{"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":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":8,"paper":36,"created_at":45},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。",null,"《河南农业大学学报》2026年第2期","2026-09-20T00:00:00Z","论文",10,false,76,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},16,22,18,14,6,1,"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。",[24],{"name":9,"url":6},[26,27,28,29,30],"数字乡村","农业碳减排","农业数字化","河南农业","fsQCA",[32,33],"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",0,{"doi":8,"openalex_id":8,"authors":37,"venue":8,"cited_by_count":35,"oa_url":8,"card":38,"direction":42,"ingested_from":44},[],{"tldr":39,"method":40,"finding":41,"direction":42,"opportunity":43},"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。","农业绿色发展与碳","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。","agent","2026-09-25T00:09:34.373665Z",{"total":20,"page":21,"page_size":20,"items":47},[48,74,103,139,177,202],{"id":49,"title":50,"url":51,"summary":52,"summary_zh":8,"content":8,"source_name":53,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":54,"score_detail":55,"sources":57,"tags":59,"search_phrases":62,"slug":65,"view_count":35,"doi":8,"paper":66,"created_at":73},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）》",78,{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":56},"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。",[58],{"name":53,"url":51},[26,27,28,60,61],"省级面板数据","绿色技术创新",[63,64],"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":67,"venue":8,"cited_by_count":35,"oa_url":8,"card":68,"direction":42,"ingested_from":44},[],{"tldr":69,"method":70,"finding":71,"direction":42,"opportunity":72},"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":75,"title":76,"url":77,"summary":78,"summary_zh":8,"content":8,"source_name":79,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":80,"score_detail":81,"sources":84,"tags":86,"search_phrases":90,"slug":93,"view_count":35,"doi":8,"paper":94,"created_at":102},3432,"《数字赋能乡村有效治理研究——基于121份全国乡村治理典型案例的实证分析解释》","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165469.html","李燕凌、张芳清基于包容性治理理论构建'数字—包容'乡村有效治理分析框架，以121份全国乡村治理典型案例为样本，运用模糊集定性比较分析（fsQCA）方法探讨数字权力包容、数字机会包容和数字权利包容对乡村有效治理的组态路径，并提炼出'权力结构优化型'及'权利表达驱动型'两条组态路径，发现高水平乡村治理效能并非依赖单一要素而是多条件耦合结果。","《农业经济与管理》2026年第2期",77,{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":82,"relevant":21,"comment":83},5,"基于121份全国典型案例的fsQCA组态分析，方法规范、结论有新意，对数字乡村治理研究有参考价值，但属学术论文且时效稍弱，适合主题聚合而非头条精选。",[85],{"name":79,"url":77},[26,87,88,89,30],"乡村治理","数字赋能","典型案例",[91,92],"李燕凌 数字包容 乡村治理","全国乡村治理典型案例 fsQCA","李燕凌数字包容乡村治理-3432",{"doi":8,"openalex_id":8,"authors":95,"venue":8,"cited_by_count":35,"oa_url":8,"card":96,"direction":100,"ingested_from":44},[],{"tldr":97,"method":98,"finding":99,"direction":100,"opportunity":101},"基于121份全国乡村治理典型案例，用fsQCA揭示数字包容赋能乡村有效治理的组态路径。","包容性治理理论框架+fsQCA，分析121份全国乡村治理典型案例。","高水平治理效能源于数字权力、机会、权利包容的多条件耦合，形成两条组态路径。","数字乡村与农业信息化","可拓展数字包容组态路径在不同区域与治理场景下的适用性，并追踪其动态演化机制。","2026-09-25T00:09:33.496627Z",{"id":104,"title":105,"url":106,"summary":107,"summary_zh":108,"content":8,"source_name":109,"source_url":106,"published_at":110,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":80,"score_detail":111,"sources":116,"tags":118,"search_phrases":122,"slug":125,"view_count":35,"doi":126,"paper":127,"created_at":138},3345,"E-commerce digitalization for sustainable agricultural and rural development: models and pathways","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1743839","This study adopts the Technology-Organization-Environment (TOE) framework as its core meso-level integrated explanatory framework, embedding digital empowerment theory to guide variable selection and causal logic. Meanwhile, it classifies the core conditional variables into technological capabilities, organizational capabilities, and environmental\u002Fstructural factors, avoiding the stacking of practical dimensions in variable selection. We find that sustainable agricultural and rural development (SARD) outcomes are not driven by single factors but by the synergistic effect of multiple configurations. Analysis identifies three distinct pathways: digital technology and agile response-driven, service and channel optimization, and comprehensive synergy. The most effective pathway synergistically combines high channel integration, high digitalization of service experience, high marketing response agility, and high precision in consumer insight. These pathways enhance agricultural marketing efficiency and advance SARD across economic, social, and environmental dimensions. Furthermore, substitution effects exist among some auxiliary factors; for instance, depth of digital technology application and precision of consumer insight can be functionally equivalent in the digital technology and agile response-driven pathway. The core theoretical contribution of this study is breaking through the traditional linear cognition of single-factor driving in the research of digital agriculture and SARD, which is prevalent in both domestic and international academia. By adopting the fuzzy-set Qualitative Comparative Analysis (fsQCA) method, we identify and theorize three typical configurational driving archetypes of e-commerce-driven SARD, namely Technology-Agile type, Service-Optimized type and Comprehensive Synergy type, reveal the mechanisms of multiple concurrent causality and equifinal paths in the digital empowerment of SARD, supplement the configurational analysis perspective for the digital empowerment theory, and provide micro-practical support for the sustainable transition theory in the context of global digital agriculture and platformization development. We recommend that agricultural enterprises strengthen digital technology, build distinctive product identities based on consumer insights, and enhance service experiences to foster sustainable transitions.","本研究以技术-组织-环境(TOE)框架为核心的中层整合解释框架，嵌入数字赋能理论以指导变量选择与因果逻辑。同时，将核心条件变量归类为技术能力、组织能力和环境\u002F结构因素，避免变量选择中实践维度的堆叠。研究发现，农业农村可持续发展(SARD)成效并非由单一因素驱动，而是多重条件组合的协同效应所致。分析识别出三条差异化路径：数字技术与敏捷响应驱动型、服务与渠道优化型、综合协同型。其中最有效的路径协同组合了高渠道整合度、高服务体验数字化、高营销响应敏捷性和高消费者洞察精准度。这些路径提升了农产品营销效率，并在经济、社会和环境维度上推进了SARD。此外，部分辅助因素之间存在替代效应；例如，在数字技术与敏捷响应驱动型路径中，数字技术应用深度与消费者洞察精准度可在功能上等效。本研究的核心理论贡献在于突破了国内外学术界在数字农业与SARD研究中普遍存在的单因素驱动的传统线性认知。通过采用模糊集定性比较分析(fsQCA)方法，我们识别并理论化了电子商务驱动SARD的三种典型组态驱动原型，即技术-敏捷型、服务-优化型和综合协同型，揭示了数字赋能SARD中多重并发因果与等效路径的机制，为数字赋能理论补充了组态分析视角，并为全球数字农业与平台化发展背景下的可持续转型理论提供了微观实践支撑。我们建议农业企业强化数字技术，基于消费者洞察构建特色产品标识，并提升服务体验以促进可持续转型。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",{"impact":16,"substance":112,"depth":18,"authority":113,"freshness":114,"relevant":21,"comment":115},21,13,9,"基于TOE框架与fsQCA方法揭示电商驱动农业农村可持续发展的三条组态路径，方法新颖、结论有理论增量，对数字乡村与农村电商实践具参考价值。",[117],{"name":109,"url":106},[119,120,26,121,30],"数字农业","农村电商","可持续农业",[123,124],"农村电商 数字赋能 可持续发展","电商 农业营销 数字化转型","农村电商数字赋能可持续发展-3345","10.3389\u002Ffsufs.2026.1743839",{"doi":126,"openalex_id":128,"authors":129,"venue":109,"cited_by_count":35,"oa_url":106,"card":132,"direction":100,"ingested_from":137},"W7214123656",[130],{"name":131,"orcid":8},"Qian Shan",{"tldr":133,"method":134,"finding":135,"direction":100,"opportunity":136},"基于TOE框架与fsQCA，识别电商数字化驱动农业农村可持续发展的三条组态路径。","TOE框架、数字赋能理论、fsQCA方法，分析多条件组态。","高渠道整合、高服务体验数字化、高营销响应敏捷与高消费者洞察精准组合最有效，存在替代效应。","可探究不同区域或平台情境下组态路径的适用边界，以及替代效应的动态演化机制。","openalex","2026-09-24T23:30:08.046331Z",{"id":140,"title":141,"url":142,"summary":143,"summary_zh":144,"content":8,"source_name":109,"source_url":142,"published_at":145,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":146,"score_detail":147,"sources":149,"tags":151,"search_phrases":155,"slug":158,"view_count":35,"doi":159,"paper":160,"created_at":176},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",81,{"impact":18,"substance":17,"depth":18,"authority":113,"freshness":12,"relevant":21,"comment":148},"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。",[150],{"name":109,"url":142},[26,152,28,153,154],"数据要素","绿色全要素生产率","农村产业融合",[156,157],"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":159,"openalex_id":161,"authors":162,"venue":109,"cited_by_count":35,"oa_url":142,"card":171,"direction":42,"ingested_from":137},"W7213309985",[163,165,168],{"name":164,"orcid":8},"Yijia Zhou",{"name":166,"orcid":167},"Jun He","https:\u002F\u002Forcid.org\u002F0000-0003-4839-3950",{"name":169,"orcid":170},"Jun Chen","https:\u002F\u002Forcid.org\u002F0000-0001-7397-2714",{"tldr":172,"method":173,"finding":174,"direction":42,"opportunity":175},"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。","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",{"id":178,"title":179,"url":180,"summary":181,"summary_zh":8,"content":8,"source_name":182,"source_url":8,"published_at":183,"category":184,"cover_url":8,"hotness":12,"is_selected":13,"score":185,"score_detail":186,"sources":191,"tags":193,"search_phrases":197,"slug":200,"view_count":35,"doi":8,"paper":8,"created_at":201},2227,"广东发布《关于推进\"四好\"农产品市场体系建设行动方案》","https:\u002F\u002Fwww.crnews.net\u002F2026\u002F09\u002F0910687.html","广东省政府新闻办举行专题新闻发布会,介绍推进\"四好\"农产品市场体系建设行动方案(2026-2030年),提出到2030年建成国家级农产品产地市场5个、省级20个、市级50个,实现产地市场交易额突破3000亿元,带动全省农产品流通数字化率超过75%。","广东省政府新闻办","2026-09-07T16:00:00Z","政策",79,{"impact":17,"substance":187,"depth":188,"authority":189,"freshness":20,"relevant":21,"comment":190},23,17,11,"省级五年行动方案，含产地市场数量与交易额、数字化率等硬指标，政策条款与数据增量扎实，值得进入每日精选。",[192],{"name":182,"url":180},[26,28,194,195,196],"农产品流通","产地市场","市场体系",[198,199],"农业数字化 农产品流通 产地市场 市场体系","农业数字化 农产品流通","农业数字化农产品流通产地市场市场体系-2227","2026-09-13T00:03:59.351554Z",{"id":203,"title":204,"url":205,"summary":206,"summary_zh":8,"content":8,"source_name":207,"source_url":8,"published_at":208,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":209,"score_detail":210,"sources":213,"tags":215,"search_phrases":218,"slug":221,"view_count":35,"doi":8,"paper":222,"created_at":229},2110,"《绿色算力建设驱动农业数字化绿色化协同发展的机制研究》 249地级市3 237观测值渐进DID","https:\u002F\u002Fnyxdhyj.isa.ac.cn\u002F","在\"双碳\"目标与数字中国战略双重驱动下,以国家绿色数据中心试点为准自然实验,基于2011—2023年全国249个地级市3237个城市-年份观测值,采用渐进双重差分模型考察绿色算力建设对农业数字化绿色化协同发展的影响及机制。研究发现绿色算力建设显著提升农业数字化绿色化耦合协调度(系数0.076,1%显著水平),主要通过促进数据要素流通、扩大清洁能源应用、推动绿色算力与农业技术融合。西部地区政策效应显著强于东北地区。","农业现代化研究","2026-09-07T00:00:00Z",84,{"impact":17,"substance":187,"depth":211,"authority":19,"freshness":20,"relevant":21,"comment":212},19,"基于249个地级市3237个观测值的渐进DID实证，量化绿色算力对农业数字化绿色化协同的促进效应，方法规范、数据规模大，对数字乡村与农业绿色发展政策有参考价值。",[214],{"name":207,"url":205},[26,152,216,28,217],"农业绿色发展","绿色算力",[219,220],"农业绿色发展 农业数字化 数字乡村 数据要素","农业绿色发展 农业数字化","农业绿色发展农业数字化数字乡村数据要素-2110",{"doi":8,"openalex_id":8,"authors":223,"venue":8,"cited_by_count":35,"oa_url":8,"card":224,"direction":42,"ingested_from":44},[],{"tldr":225,"method":226,"finding":227,"direction":42,"opportunity":228},"以国家绿色数据中心试点为准自然实验，检验绿色算力建设对农业数字化绿色化协同发展的影响。","2011—2023年249个地级市3237个观测值，渐进双重差分模型。","绿色算力建设显著提升农业数字化绿色化耦合协调度，西部效应强于东北。","可探究绿色算力对不同农业细分行业与经营主体的异质性影响，及数据要素流通的微观路径。","2026-09-11T00:04:22.926298Z"]