[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3265":3,"related-3265":57},{"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":56},3265,"Factors associated with farmers’ multidimensional participation in e-commerce","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1936130","Introduction As an important ICT-enabled business model, rural e-commerce has attracted growing attention, yet existing studies predominantly focus on binary adoption while overlooking heterogeneity in farmers’ participation depth, participation breadth, and platform choice. This study examines the multidimensional characteristics of farmers’ e-commerce participation. Methods Using data from 2,508 farm households in the 2020 China Rural Revitalization Survey, this study examines factors associated with four dimensions of e-commerce participation and uses ISM to identify the hierarchy of factors associated with participation decisions. Results (1) E-commerce training is positively associated with participation decision, depth, and breadth and with the probabilities of choosing social and traditional e-commerce. The household head’s education is positively associated with participation decision, depth, and breadth and negatively associated with the probability of remaining offline. In contrast, age is negatively associated with participation decision and depth and with the probabilities of choosing social and traditional e-commerce. (2) Cultivated land area is positively associated with participation decision and depth and with the probabilities of choosing social and traditional e-commerce. Organizational participation is positively associated with participation decision and depth, while average household education is positively associated with participation decision, depth, and breadth. Village e-commerce service stations are positively associated with participation decision and depth and with the probability of choosing social e-commerce. Local non-farm industrial development is positively associated only with participation breadth. (3) Within the ISM hierarchy of factors associated with participation decisions, e-commerce training is identified as a surface direct factor; organizational participation and village e-commerce service stations as shallow indirect factors; cultivated land area and average household education as middle-level indirect factors; and the household head’s age and education as deep-seated root factors. Discussion These findings demonstrate the multidimensional nature of farmers’ e-commerce participation and show that the same factor may have differentiated associations across dimensions. Policies should therefore shift from general encouragement to dimension-specific support through targeted training, organizational services, village e-commerce facilities, resource matching, and locally adapted industrial support.","引言 作为信息通信技术赋能的重要商业模式，农村电商日益受到关注，但现有研究多聚焦于二元采纳，忽视了农户参与深度、参与广度和平台选择方面的异质性。本研究考察农户电商参与的多维特征。方法 利用2020年中国乡村振兴调查中2508户农户的数据，本研究考察电商参与四个维度的相关因素，并运用ISM识别参与决策相关因素的层级结构。结果 （1）电商培训与参与决策、参与深度和参与广度呈正相关，且与选择社交电商和传统电商的概率呈正相关。户主受教育程度与参与决策、参与深度和参与广度呈正相关，与保持线下的概率呈负相关。相反，年龄与参与决策和参与深度呈负相关，且与选择社交电商和传统电商的概率呈负相关。（2）耕地面积与参与决策和参与深度呈正相关，且与选择社交电商和传统电商的概率呈正相关。组织参与与参与决策和参与深度呈正相关，而家庭平均受教育程度与参与决策、参与深度和参与广度呈正相关。村级电商服务站与参与决策和参与深度呈正相关，且与选择社交电商的概率呈正相关。本地非农产业发展仅与参与广度呈正相关。（3）在参与决策相关因素的ISM层级结构中，电商培训被识别为表层直接因素；组织参与和村级电商服务站为浅层间接因素；耕地面积和家庭平均受教育程度为中层间接因素；户主年龄和受教育程度为深层根源因素。讨论 这些发现表明农户电商参与的多维性质，并显示同一因素在不同维度上可能具有差异化关联。因此，政策应从普遍鼓励转向通过针对性培训、组织服务、村级",null,"Frontiers in Sustainable Food Systems","2026-09-22T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,9,1,"基于2508户全国调查数据，揭示农户电商参与的多维异质性及ISM因素层级，对数字乡村政策有实证参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"农村电商","数字乡村","乡村振兴","电商培训","农户参与",[33,34],"中国乡村振兴调查 农村电商","农户 电商参与 多维","中国乡村振兴调查农村电商-3265",0,"10.3389\u002Ffsufs.2026.1936130",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":49,"direction":53,"ingested_from":55},"W7214016500",[41,43,45,47],{"name":42,"orcid":9},"Mingyang Yin",{"name":44,"orcid":9},"Zhengyin Li",{"name":46,"orcid":9},"Juan Xie",{"name":48,"orcid":9},"Yan Yan",{"tldr":50,"method":51,"finding":52,"direction":53,"opportunity":54},"基于2508户调查数据，分析农户电商参与决策、深度、广度和平台选择的多维影响因素。","2020中国乡村振兴调查数据，ISM解释结构模型分析影响因素层级。","电商培训、教育、耕地面积等对参与各维度影响不同，年龄和教育是深层根源因素。","数字乡村与农业信息化","可探究不同参与维度对农户收入与福利的差异化影响，以及平台选择的行为机制。","openalex","2026-09-23T23:30:07.352722Z",{"total":58,"page":22,"page_size":58,"items":59},6,[60,83,106,130,163,187],{"id":61,"title":62,"url":63,"summary":64,"summary_zh":9,"content":9,"source_name":65,"source_url":9,"published_at":66,"category":67,"cover_url":9,"hotness":13,"is_selected":14,"score":68,"score_detail":69,"sources":73,"tags":75,"search_phrases":78,"slug":81,"view_count":36,"doi":9,"paper":9,"created_at":82},3293,"百千万村播矩阵工程见行见效 数字兴农走出振兴新路——赤峰市克什克腾旗202个村播账号600余条短视频260万元线上销售额","https:\u002F\u002Fwww.nmg.news.cn\u002F20260918\u002F50bf896a140f473081d4e7c714a1e25f\u002Fc.html","内蒙古赤峰市克什克腾旗深入学习运用千万工程经验，创新实施百千万村播矩阵工程。工程启动以来，全旗梯次推进、全域联动：全旗嘎查村(社区)党组织书记完成首批短视频拍摄常态化围绕产业、政策出镜；驻村第一书记、村两委成员、致富带头人等千名骨干加入；旗级举办2期干部直播专题培训班，覆盖600余人次；全旗已开设村播账号202个，发布短视频600余条；全旗村播骨干已累计开播300余场，线上销售额突破260万元；构建旗级统筹、苏木乡镇主抓、嘎查村落实的1+13+145三级联动格局。","新华网内蒙古频道 2026年09月18日","2026-09-18T00:00:00Z","报道",64,{"impact":17,"substance":19,"depth":20,"authority":70,"freshness":71,"relevant":22,"comment":72},12,5,"县域村播矩阵工程的实操性报道，数据具体、三级联动机制清晰，对数字乡村与农村电商主题有聚合价值，但属地方动态、时效稍旧。",[74],{"name":65,"url":63},[27,28,76,29,77],"内蒙古","村播矩阵",[79,80],"克什克腾旗 村播矩阵","内蒙古 村播 线上销售","克什克腾旗村播矩阵-3293","2026-09-24T00:03:57.164047Z",{"id":84,"title":85,"url":86,"summary":87,"summary_zh":9,"content":9,"source_name":88,"source_url":9,"published_at":89,"category":67,"cover_url":9,"hotness":13,"is_selected":14,"score":90,"score_detail":91,"sources":95,"tags":97,"search_phrases":100,"slug":103,"view_count":104,"doi":9,"paper":9,"created_at":105},1341,"吉林汪清满河村 8 年人均收入从不足 8000 元翻三倍，电商示范村引领黑土地数字突围","https:\u002F\u002Fjl.people.com.cn\u002FBIG5\u002Fn2\u002F2026\u002F0827\u002Fc349771-41679425.html","2026 年上半年吉林省农村网络零售额同比增长 11.9%，高出城市 2.1 个百分点。满河村通过 20 多个平台账号、5 家钻石级店铺，实现 2023-2024 年连续两年网销额突破 400 万元；村集体收入从零突破 50 万元，建档立卡贫困户全部清零。","人民网吉林频道 · 2026-08-27","2026-08-27T01:00:00Z",68,{"impact":19,"substance":92,"depth":93,"authority":13,"freshness":58,"relevant":22,"comment":94},20,14,"报道了吉林满河村电商带动增收的典型案例，数据详实，具有示范意义。",[96],{"name":88,"url":86},[27,28,29,98,99],"吉林","电商示范村",[101,102],"电商示范村 乡村振兴 农村电商 数字乡村","电商示范村 乡村振兴","电商示范村乡村振兴农村电商数字乡村-1341",2,"2026-09-02T00:05:03.464517Z",{"id":107,"title":108,"url":109,"summary":110,"summary_zh":9,"content":111,"source_name":112,"source_url":9,"published_at":113,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":90,"score_detail":114,"sources":116,"tags":118,"search_phrases":123,"slug":126,"view_count":127,"doi":128,"paper":9,"created_at":129},544,"电商对城乡融合发展的影响效应与路径分析","https:\u002F\u002Flxbwk.njournal.sdu.edu.cn\u002FCN\u002F10.6040\u002Fj.issn.1671-9352.0.2025.343","本研究构建电商-产业-城乡发展逻辑分析框架,综合评价指标体系测度山东省 16 个地级市 2014—2023 年城乡融合发展水平,并以中介效应模型检验电商发展的影响效应。研究显示,山东省城乡融合发展水平总体上升,但存在多维差异,经济融合与生态融合为主要增长动力;中介效应检验表明,电商发展能够显著促进城乡融合,并通过产业结构升级的部分中介效应实现,中介效应占比 48.7%。","[1] 邱志萍,姚婷婷. 电子商务“双试点”政策对区域经济差距的影响研究[J]. 兰州学刊, 2024(12): 46-63. Qiu Zhiping, Yao Tingting. Research on the impact of the e-commerce \"double pilot\" policy on regional economic disparities[J]. Lanzhou Academic Journal, 2024(12): 46-63.\n\n[2] 田野,夏杰长. 农村电商、 农村居民就业与共同富裕[J]. 中国流通经济, 2024, 38(6): 66-76. Tian Ye, Xia Changjie. Rural e-commerce, rural residents employment, and common prosperity[J]. China Business and Market, 2024, 38(6): 66-76.\n\n[3] 曹友斌,郭峰,熊云军,等. 农村电子商务赋能乡村振兴: 兼论农村内部的数字鸿沟[J]. 经济科学, 2025(5): 185-205. Cao Youbin, Guo Feng, Xiong Yunjun, et al. The enabling role of rural e-commerce in rural revitalization: the digital divide within rural areas[J]. Economic Science, 2025(5): 185-205.\n\n[4] 张志新,蒋欢跃,李成. 数字经济赋能长三角制造业高质量发展: 空间溢出与机制识别[J]. 地域研究与开发, 2024, 43(2): 15-20, 34. Zhang Zhixin, Jiang Huanyue, Li Cheng. Digital economy empowering high-quality development of manufacturing industry in the Yangtze River Delta: spatial spillover and mechanism identification[J]. Areal Research and Development, 2024, 43(2): 15-20, 34.\n\n[5] 姚利好,易法敏,孙煜程. 农村电商、 数字普惠金融协同促进县域经济增长[J]. 财经问题研究, 2022(11): 67-76. Yao Lihao, Yi Famin, Sun Yucheng. Rural e-commerce and digital inclusive finance synergistically promote county economic growth[J]. Research on Financial and Economic Issues, 2022(11): 67-76.\n\n[6] 周江燕,白永秀. 中国城乡发展一体化水平的时序变化与地区差异分析[J]. 中国工业经济, 2014(2): 5-17. Zhou Jiangyan, Bai Yongxiu. Analysis of the temporal changes and regional disparities in the level of urban-rural development integration in China[J]. China Industrial Economics, 2014(2): 5-17.\n\n[7] 周德,戚佳玲,钟文钰. 城乡融合评价研究综述: 内涵辨识、 理论认知与体系重构[J]. 自然资源学报, 2021, 36(10): 2634-2651. Zhou De, Qi Jialing, Zhong Wenyu. Review of urban-rural integration evaluation: connotation identification, theoretical analysis, and system reconstruction[J]. Journal of Natural Resources, 2021, 36(10): 2634-2651.\n\n[8] 刘天军,李卓. 农村增活力: 县域城乡融合促进乡村全面振兴的路径探索[J]. 学习与探索, 2025(2): 13-22. Liu Tianjun, Li Zhuo. Boosting rural vitality: exploring pathways for county-level urban-rural integration to promote comprehensive rural revitalization[J]. Study & Exploration, 2025(2): 13-22.\n\n[9] Cheng Yu, et al. The impact of the urban digital economy on Chinas carbon intensity: spatial spillover and mediating effect[J]. Resources, Conservation and Recycling, 2023, 189: 106762.\n\n[10] 林聚任. 新城乡空间重构与城乡融合发展[J]. 山东大学学报(哲学社会科学版), 2022(1): 72-81. Lin Juren. New urban-rural space reconstruction and urban-rural integration development[J]. Journal of Shandong University(Philosophy and Social Sciences), 2022(1): 72-81.\n\n[11] Yi Jiahui. How does digital economy development affect renewable energy innovation[J]. Renewable and Sustainable Energy Reviews, 2024, 192: 114221.\n\n[12] 周广亮,翟晓格,张迪. 数字经济赋能城乡融合的空间逻辑与实践方略: 基于空间社会学的考量[J]. 郑州大学学报(哲学社会科学版), 2025, 58(2): 22-27. Zhou Guangliang, Zhai Xiaoge, Zhang Di. The spatial logic and practical strategy of digital economy empowering urban-rural integration: based on the consideration of spatial sociology[J]. Journal of Zhengzhou University(Philosophy and Social Sciences), 2025, 58(2): 22-27.\n\n[13] 郭亮亮,林永然. 农村公共服务高质量发展赋能乡村振兴的作用机制研究[J]. 数学的实践与认识, 2025, 55(8): 69-81. Guo Liangliang, Lin Yongran. Research on the mechanism of empowering rural revitalization with high quality development of rural public services[J]. Mathematics in Practice and Theory, 2025, 55(8): 69-81.\n\n[14] 何亚芬,潘依玲,谢花林. 生态产品价值实现与乡村文化振兴双向赋能的机制与路径: 基于“人-文-术-业-制”五维协同视角[J]. 自然资源学报, 2025, 40(11): 2979-2998. He Yafen, Pan Yiling, Xie Hualin. The mechanism and pathway of bidirectional empowerment between value realization of ecological products and rural cultural revitalization: based on the \"human-culture-technology-industry-institution\" five-dimensional synergy perspective[J]. 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Evolution and mechanism of regional logistics spatial network structure: a case study of Hunan Province[J]. Economic Geography, 2025, 45(8): 139-151.\n\n[19] 郭锦墉,刘晓婧,赖萍. 社区电商对农村家庭消费结构的影响[J]. 商业经济研究, 2025(7): 88-92. Guo Jinyong, Liu Xiaojing, Lai Ping. The impact of community e-commerce on rural household consumption structure[J]. Journal of Commercial Economics, 2025(7): 88-92.\n\n[20] 程明,方青. 乡村振兴与新型城镇化战略耦合机理研究: 基于城乡要素流动的视角[J]. 华东经济管理, 2023, 37(5): 1-8. Cheng Ming, Fang Qing. Research on the coupling mechanism of rural revitalization and new urbanization strategy: from the perspective of urban-rural factor flow[J]. East China Economic Management, 2023, 37(5): 1-8.\n\n[21] 何茜,温涛,王小华. 农村金融服务创新与农户包容性增收: 基于政府引导和市场主导的双重视角[J]. 金融监管研究, 2025(8): 40-59. He Qian, Wen Tao, Wang Xiaohua. Innovation of rural financial services and inclusive income increase for farmers: a dual perspective based on government guidance and market leadership[J]. Financial Regulation Research, 2025(8): 40-59.\n\n[22] 郭浪,汪兰林,周茜,等. 乡村振兴背景下农村电子商务四方主体演化博弈分析[J]. 数学的实践与认识, 2023, 53(6): 109-119. Guo Lang, Wang Lanlin, Zhou Qian, et al. Evolutionary game analysis of four main bodies in rural e-commerce amidst the backdrop of rural revitalization[J]. Mathematics in Practice and Theory, 2023, 53(6): 109-119.\n\n[23] 徐永辉,吴柏钧. 产业转移、市场潜能与城乡融合: 基于空间杜宾模型的探讨[J]. 技术经济与管理研究, 2023(10): 106-110. Xu Yonghui, Wu Baijun. Industrial transfer, market potential and urban-rural integration: based on spatial Dubin model[J]. Journal of Technical Economics & Management, 2023(10): 106-110.\n\n[24] 郭亚军. 一种新的动态综合评价方法[J]. 管理科学学报, 2002(2): 49-54. Guo Yajun. A new dynamic comprehensive evaluation method[J]. Journal of Management Sciences in China, 2002(2): 49-54.\n\n[25] 钟雨妮,冯健. 互联网使用对农民户籍市民化的影响: 基于新零工经济的中介效应[J]. 地理研究, 2025, 44(6): 1638-1654. Zhong Yuni, Feng Jian. The impact of internet use on the hukou-based citizenization of rural populations: mediating effect of the new gig economy[J]. Geographical Research, 2025, 44(6): 1638-1654.","山东大学学报(理学版)","2026-08-11T16:00:00Z",{"impact":92,"substance":19,"depth":17,"authority":70,"freshness":104,"relevant":22,"comment":115},"论文系统梳理电商对城乡融合的影响，但时效性差，且为文献综述，创新性有限。",[117],{"name":112,"url":109},[27,28,29,119,120,121,122],"中介效应","城乡融合","产业结构升级","省域面板",[124,125],"产业结构升级 中介效应 乡村振兴 农村电商","产业结构升级 中介效应","产业结构升级中介效应乡村振兴农村电商-544",3,"10.6040\u002Fj.issn.1671-9352.0.2025.343","2026-08-15T00:02:55.854188Z",{"id":131,"title":132,"url":133,"summary":134,"summary_zh":135,"content":9,"source_name":10,"source_url":133,"published_at":136,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":137,"score_detail":138,"sources":141,"tags":143,"search_phrases":147,"slug":150,"view_count":36,"doi":151,"paper":152,"created_at":162},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。","2026-09-23T00:00:00Z",77,{"impact":17,"substance":139,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":140},21,"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。",[142],{"name":10,"url":133},[144,27,28,145,146],"数字农业","可持续农业","fsQCA",[148,149],"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":151,"openalex_id":153,"authors":154,"venue":10,"cited_by_count":36,"oa_url":133,"card":157,"direction":53,"ingested_from":55},"W7214123656",[155],{"name":156,"orcid":9},"Qian Shan",{"tldr":158,"method":159,"finding":160,"direction":53,"opportunity":161},"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。","2026-09-24T23:30:08.046331Z",{"id":164,"title":165,"url":166,"summary":167,"summary_zh":9,"content":9,"source_name":168,"source_url":9,"published_at":136,"category":67,"cover_url":9,"hotness":13,"is_selected":169,"score":170,"score_detail":171,"sources":175,"tags":177,"search_phrases":182,"slug":185,"view_count":36,"doi":9,"paper":9,"created_at":186},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",true,86,{"impact":172,"substance":18,"depth":173,"authority":70,"freshness":21,"relevant":22,"comment":174},26,17,"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。",[176],{"name":168,"url":166},[27,178,28,179,180,181],"十五五","智慧农业","农业社会化服务","低空物流",[183,184],"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":188,"title":189,"url":190,"summary":191,"summary_zh":9,"content":9,"source_name":192,"source_url":9,"published_at":193,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":137,"score_detail":194,"sources":196,"tags":198,"search_phrases":202,"slug":205,"view_count":36,"doi":9,"paper":206,"created_at":214},3124,"Divide or Bridge? The Heterogeneous Effects of Digital Village Participation on Rural Residents' Happiness（鸿沟抑或桥梁？数字乡村参与对农村居民幸福感的异质性影响）","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260919000408204.htm","Frontiers in Psychology 发表利用中国乡村振兴调查（CRRS）数据实证检验数字乡村参与对农村居民幸福感影响的研究。提升农村居民幸福感是中国乡村振兴战略的关键目标。研究方法采用 CRRS 调查数据进行实证检验；结果表明数字乡村参与与农村居民幸福感呈正相关；分维度分析揭示数字基础设施、数字治理和日常生活数字化对农村居民幸福感具有显著正向效应，而农村经济数字化的影响在统计上不显著；机制分析表明数字乡村参与通过缓解信贷约束和增加社会互动来提升农村居民幸福感；异质性分析显示数字素养较高的农村居民更能将数字参与转化为幸福感提升，而数字素养较低群体这一效应不显著。研究为缩小农村数字鸿沟提供经验证据，并为推动精准化、差异化的数字乡村发展提供政策启示。","Frontiers in Psychology","2026-09-19T00:00:00Z",{"impact":17,"substance":139,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":195},"基于CRRS数据的实证研究，揭示数字乡村参与对农村居民幸福感的异质性影响，结论扎实且具政策参考价值，值得进入每日精选。",[197],{"name":192,"url":190},[28,199,29,200,201],"数字素养","数字鸿沟","农村居民幸福感",[203,204],"CRRS 数字乡村 幸福感","数字素养 农村居民 幸福感","CRRS数字乡村幸福感-3124",{"doi":9,"openalex_id":9,"authors":207,"venue":9,"cited_by_count":36,"oa_url":9,"card":208,"direction":53,"ingested_from":213},[],{"tldr":209,"method":210,"finding":211,"direction":53,"opportunity":212},"基于CRRS数据实证检验数字乡村参与对农村居民幸福感的异质性影响。","中国乡村振兴调查（CRRS）数据，实证回归与机制、异质性分析。","数字参与提升幸福感，但经济数字化不显著，低数字素养群体获益有限。","可探究数字素养培育干预如何放大数字乡村的幸福感效应，缩小群体鸿沟。","agent","2026-09-22T00:05:38.499296Z"]