[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3264":3,"related-3264":51},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":50},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 Systems","2026-09-23T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},16,21,17,13,1,"基于江西省龙头企业2021—2023年面板数据的实证研究，证实产业融合通过电商渠道带动农户规模扩张，结论对数字乡村与联农带农政策有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字乡村","农产品电商","订单农业","农村产业融合","农业龙头企业",[32,33],"江西 龙头企业 农村产业融合","农产品电商 订单农业 农户","江西龙头企业农村产业融合-3264",0,"10.3389\u002Ffsufs.2026.1897280",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":43,"direction":47,"ingested_from":49},"W7214063617",[40],{"name":41,"orcid":42},"Jian Zhou","https:\u002F\u002Forcid.org\u002F0009-0000-9869-364X",{"tldr":44,"method":45,"finding":46,"direction":47,"opportunity":48},"基于江西龙头企业面板数据，研究农村产业融合如何带动农户规模。","2021-2023年江西龙头企业面板数据，随机效应与中介模型。","产业融合显著扩大带动农户规模，电商销售是有效中介，合同溢价机制不显著。","数字乡村与农业信息化","可探究电商销售中介的异质性及合同溢价失效原因，优化利益联结机制。","openalex","2026-09-23T23:30:07.244996Z",{"total":52,"page":21,"page_size":52,"items":53},6,[54,86,127,151,189,220],{"id":55,"title":56,"url":57,"summary":58,"summary_zh":9,"content":9,"source_name":10,"source_url":9,"published_at":59,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":60,"score_detail":61,"sources":66,"tags":68,"search_phrases":72,"slug":75,"view_count":35,"doi":76,"paper":77,"created_at":85},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":62,"substance":63,"depth":17,"authority":20,"freshness":64,"relevant":21,"comment":65},12,20,9,"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。",[67],{"name":10,"url":57},[26,69,70,27,71],"农业人工智能","农户采纳","直播助农",[73,74],"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":76,"openalex_id":9,"authors":78,"venue":9,"cited_by_count":35,"oa_url":9,"card":79,"direction":47,"ingested_from":84},[],{"tldr":80,"method":81,"finding":82,"direction":47,"opportunity":83},"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。","agent","2026-09-23T00:04:32.988284Z",{"id":87,"title":88,"url":89,"summary":90,"summary_zh":91,"content":9,"source_name":10,"source_url":89,"published_at":92,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":93,"score_detail":94,"sources":98,"tags":100,"search_phrases":104,"slug":107,"view_count":35,"doi":108,"paper":109,"created_at":126},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":95,"substance":96,"depth":95,"authority":20,"freshness":13,"relevant":21,"comment":97},18,22,"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。",[99],{"name":10,"url":89},[26,101,102,103,29],"数据要素","农业数字化","绿色全要素生产率",[105,106],"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":108,"openalex_id":110,"authors":111,"venue":10,"cited_by_count":35,"oa_url":89,"card":120,"direction":124,"ingested_from":49},"W7213309985",[112,114,117],{"name":113,"orcid":9},"Yijia Zhou",{"name":115,"orcid":116},"Jun He","https:\u002F\u002Forcid.org\u002F0000-0003-4839-3950",{"name":118,"orcid":119},"Jun Chen","https:\u002F\u002Forcid.org\u002F0000-0001-7397-2714",{"tldr":121,"method":122,"finding":123,"direction":124,"opportunity":125},"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",{"id":128,"title":129,"url":130,"summary":131,"summary_zh":9,"content":132,"source_name":133,"source_url":9,"published_at":134,"category":135,"cover_url":9,"hotness":13,"is_selected":14,"score":136,"score_detail":137,"sources":141,"tags":143,"search_phrases":146,"slug":149,"view_count":35,"doi":9,"paper":9,"created_at":150},555,"屯溪区数字乡村:5G 茶园、智慧大棚、乡村直播间'三位一体'赋能乡村振兴","https:\u002F\u002Fwww.hkcd.com.hk\u002Fhkcdweb\u002Fcontent\u002F2026\u002F08\u002F13\u002Fcontent_8769470.html","安徽屯溪区紧扣'数字乡村'建设,将物联网、大数据、AI 技术根系深扎乡土。奕棋镇数字化大棚实现全自动播种+智能催芽,瑶干村植保无人机单日作业 500-600 亩,黎阳镇'微行知'农耕研学基地依托黄山学院食药用菌团队羊肚菌亩产达 876 公斤。江村直播间累计开播 200 余场,带动农产品销售额突破 150 万元。","數字的春風，不僅吹富了口袋，更吸引着遠方的「數字候鳥」棲居徽州鄉野。\n\n走進屯光鎮篁墩村，一座以「星際移民」為理念的數字遊民公社隱於白牆黛瓦之間。DN黃山數字遊民公社建築面積達5251平方米，配套了涵蓋辦公、生活、社交等20餘類共享空間。自2025年3月正式開放以來，公社持續處於滿員狀態，吸引了大量文創、互聯網IP、設計等領域的高學歷從業者，平均停留時長達58天，成為數字青年棲居鄉野的理想之地。\n\n目光轉向奕棋鎮下林塘，「回來計劃」農文旅項目創新打造田園科創與數字遊民空間，已吸引30餘名數字遊民入駐，為鄉村發展注入新鮮活力。今年「五一」試營業以來，該項目累計接待市民遊客超9000人次，營業額達13.2萬元。\n\n數字遊民走進了鄉村，鄉土的好物也走了出去。教育繳費、醫療健康、養老服務等10餘種民生場景藉由「慧黃山」平台植入鄉村。數據多跑路，群眾少跑腿，「留下來」變得從容，「走出去」不再艱難。\n\n讓算法聽懂農時，讓數據認得來路，讓遠方的人願意留下，讓留下的人望得見遠方。在屯溪，數字與鄉土，本就可同一種顏色。(記者 吳敏 通訊員 程夢君)","香港商报网 2026-08-13","2026-08-13T04:00:18Z","报道",43,{"impact":138,"substance":62,"depth":13,"authority":52,"freshness":139,"relevant":21,"comment":140},8,7,"地方数字乡村案例报道，有具体数据但深度一般，信源为地方媒体。",[142],{"name":133,"url":130},[26,144,145,27],"安徽","5G茶园",[147,148],"农产品电商 数字乡村 5G茶园 安徽","农产品电商 数字乡村","农产品电商数字乡村5G茶园安徽-555","2026-08-15T23:54:30.763197Z",{"id":152,"title":153,"url":154,"summary":155,"summary_zh":156,"content":9,"source_name":157,"source_url":154,"published_at":158,"category":12,"cover_url":9,"hotness":159,"is_selected":14,"score":160,"score_detail":161,"sources":163,"tags":167,"search_phrases":172,"slug":175,"view_count":35,"doi":176,"paper":177,"created_at":188},3357,"AI-Driven Precision Agriculture and Crop Resilience: Integrating Artificial Intelligence, IoT and Remote Sensing for Climate-Resilient Indian Agriculture: A Vision for Viksit Bharat 2047","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22914538","Abstract Agriculture is central to India's economic development, food security, rural employment, and the achievement of the Viksit Bharat@2047 vision. However, Indian agriculture faces increasingly complex challenges, including climate variability, water scarcity, soil degradation, pest and disease outbreaks, fragmented landholdings, market uncertainty, and unequal access to agricultural knowledge. These challenges require a transition from conventional, input-intensive agriculture towards data-driven, resource-efficient, climate-resilient and farmer-centric production systems. Agriculture in India is increasingly affected by climate variability, water scarcity, soil degradation, pest and disease outbreaks, and unpredictable weather conditions. These challenges threaten crop productivity and food security, particularly among small and marginal farmers. Artificial Intelligence (AI), Internet of Things (IoT), remote sensing, and machine learning offer new opportunities to transform conventional agricultural practices into data-driven precision agriculture systems. This paper presents a conceptual framework for AI-driven precision agriculture aimed at improving crop resilience under changing climatic conditions. Artificial Intelligence (AI), combined with precision agriculture, Internet of Things (IoT), remote sensing, satellite imagery, drones, machine learning, robotics and digital public infrastructure, offers significant opportunities to transform Indian agriculture. AI can support crop and yield prediction, disease and pest identification, weather-based advisories, irrigation optimisation, soil management, crop insurance, market intelligence and early-warning systems. The paper also discusses challenges related to digital inclusion, data governance, affordability, AI reliability, farmer skills, privacy and institutional coordination. It argues that India's objective should not simply be the digitisation of agriculture, but the creation of an intelligent, inclusive and resilient agricultural ecosystem in which technology augments farmer knowledge and decision-making. By 2047, India can aspire to establish globally competitive agriculture that produces more with fewer resources, withstands climate shocks, generates higher and more stable farm incomes, and ensures sustainable food and nutritional security.","摘要 农业对印度的经济发展、粮食安全、农村就业以及“发达印度@2047”愿景的实现至关重要。然而，印度农业面临日益复杂的挑战，包括气候变异性、水资源短缺、土壤退化、病虫害暴发、土地持有碎片化、市场不确定性以及农业知识获取不平等。这些挑战要求从传统的投入密集型农业向数据驱动、资源高效、气候韧性且以农民为中心的生产体系转型。印度农业日益受到气候变异性、水资源短缺、土壤退化、病虫害暴发及不可预测天气条件的影响。这些挑战威胁着作物生产力和粮食安全，尤其是对小农和边缘农民而言。人工智能（AI）、物联网（IoT）、遥感和机器学习为将传统农业实践转变为数据驱动的精准农业系统提供了新机遇。本文提出了一个AI驱动的精准农业概念框架，旨在改善气候变化条件下作物的韧性。人工智能（AI）与精准农业、物联网（IoT）、遥感、卫星影像、无人机、机器学习、机器人技术及数字公共基础设施相结合，为改造印度农业提供了重大机遇。AI可支持作物与产量预测、病虫害识别、基于天气的农事建议、灌溉优化、土壤管理、作物保险、市场情报及预警系统。本文还讨论了与数字包容、数据治理、可负担性、AI可靠性、农民技能、隐私及机构协调相关的挑战。文章认为，印度的目标不应仅仅是农业数字化，而应是创建一个智能、包容且有韧性的农业生态系统，使技术增强农民的知识与决策能力。到2047年，印度有望建立具有全球竞争力的农业，以更少资源生产更多产品，抵御气候冲击，创造更高且更稳定的农业收入，并确保可持续的粮食与营养安全。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-30T00:00:00Z",25,69,{"impact":96,"substance":95,"depth":17,"authority":20,"freshness":35,"relevant":21,"comment":162},"概念性框架论文，系统梳理AI、IoT与遥感在印度气候韧性农业中的应用与挑战，有参考价值但无实证数据，且发布日期在未来、时效性缺失，暂不宜进入每日精选。",[164,165],{"name":157,"url":154},{"name":157,"url":166},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22914539",[26,168,69,169,170,171],"智慧农业","农业物联网","气候韧性","遥感监测",[173,174],"印度 精准农业 AI","农业人工智能 农业物联网 数字乡村 智慧农业","印度精准农业AI-3357","10.5281\u002Fzenodo.22914538",{"doi":176,"openalex_id":178,"authors":179,"venue":157,"cited_by_count":35,"oa_url":154,"card":182,"direction":186,"ingested_from":49},"W7214083098",[180],{"name":181,"orcid":9},"Twinkal Prakash Sawant",{"tldr":183,"method":184,"finding":185,"direction":186,"opportunity":187},"提出AI+物联网+遥感驱动的精准农业概念框架，提升印度气候韧性作物生产。","概念框架分析，整合AI、IoT、遥感、卫星、无人机、机器学习与数字公共基础设施。","印度农业应构建智能、包容、有韧性的生态系统，而非仅数字化，以应对气候与资源挑战。","智慧农业 \u002F 农业物联网","可实证检验小农户场景下AI+IoT+遥感集成对作物韧性与收入的实际效果及数字包容机制。","2026-09-24T23:30:13.211525Z",{"id":190,"title":191,"url":192,"summary":193,"summary_zh":194,"content":9,"source_name":10,"source_url":192,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":195,"sources":197,"tags":199,"search_phrases":204,"slug":207,"view_count":35,"doi":208,"paper":209,"created_at":219},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。",{"impact":17,"substance":18,"depth":95,"authority":20,"freshness":64,"relevant":21,"comment":196},"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。",[198],{"name":10,"url":192},[200,201,26,202,203],"数字农业","农村电商","可持续农业","fsQCA",[205,206],"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":208,"openalex_id":210,"authors":211,"venue":10,"cited_by_count":35,"oa_url":192,"card":214,"direction":47,"ingested_from":49},"W7214123656",[212],{"name":213,"orcid":9},"Qian Shan",{"tldr":215,"method":216,"finding":217,"direction":47,"opportunity":218},"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":221,"title":222,"url":223,"summary":224,"summary_zh":225,"content":9,"source_name":10,"source_url":223,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":226,"score":227,"score_detail":228,"sources":234,"tags":236,"search_phrases":241,"slug":244,"view_count":35,"doi":245,"paper":246,"created_at":261},3336,"Prosper or beggar thy neighbor? non-farm employment effects and spatial spillovers of China's National Digital Village Pilot Program","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1950504","Introduction Counties are a key spatial unit linking cities and villages in China's rural transformation, yet many still lack the industrial base, market scale, and non-farm job opportunities needed to absorb rural labor. This study examines whether China's National Digital Village Pilot Program expands rural non-farm employment and whether its effects extend beyond pilot counties. Methods Using a panel of 1,450 Chinese counties and 24,111 county-year observations from 2007 to 2024, this study exploits the staggered implementation of the 2020 and 2024 pilot cohorts as a quasi-natural experiment. The policy effect is estimated using a multi-period difference-in-differences model and cross-validated with stacked DID and the Callaway-Sant'Anna estimator. Robustness is further assessed through propensity score matching, inverse probability weighting, entropy balancing, placebo tests, and alternative samples and specifications. Transmission channels, heterogeneity, and spatial effects are also examined. Results The National Digital Village Pilot Program increased rural non-farm employment in pilot counties by approximately 25% relative to non-pilot counties, and the result remains robust across alternative identification and estimation strategies. The two-step transmission-channel analysis provides evidence consistent with two potential channels: enhanced county-level innovation and improved mobile network access capability. The policy effect is significantly stronger in central-region counties than in western counties and stronger in smaller counties than in larger ones, with weaker evidence of a larger effect in counties with lower human capital. Spatial analysis shows a positive direct effect on pilot counties but a negative spillover effect on neighboring counties. Discussion The findings indicate that digital village development can strengthen local non-farm employment absorption, but part of the local gain may reflect a spatial reallocation of economic activity rather than net regional job creation. Effective implementation therefore requires not only county-level digital development but also cross-county resource coordination and regional policy integration.","引言 县域是中国城乡转型中连接城市与乡村的关键空间单元，但许多县域仍缺乏吸纳农村劳动力所需的产业基础、市场规模和非农就业机会。本研究考察中国国家数字乡村试点项目是否扩大了农村非农就业，以及其效应是否超出试点县范围。方法 本研究使用2007年至2024年间1，450个中国县域、24，111个县—年观测值的面板数据，将2020年和2024年试点批次的分批实施作为准自然实验。政策效应采用多期双重差分模型估计，并通过堆叠双重差分和Callaway-Sant'Anna估计量进行交叉验证。稳健性进一步通过倾向得分匹配、逆概率加权、熵平衡、安慰剂检验以及替代样本和设定加以评估。研究还考察了传导渠道、异质性和空间效应。结果 国家数字乡村试点项目使试点县的农村非农就业相对于非试点县增加了约25%，且该结果在替代性识别和估计策略下保持稳健。两步传导渠道分析提供的证据与两个潜在渠道相一致：县域创新能力增强和移动网络接入能力改善。政策效应在中部地区县域显著强于西部地区县域，在较小县域强于较大县域，而在人力资本较低县域效应更大的证据较弱。空间分析显示，政策对试点县具有正向直接效应，但对邻近县域产生负向溢出效应。讨论 研究结果表明，数字乡村发展能够增强本地非农就业吸纳能力，但部分本地收益可能反映的是经济活动的空间再配置，而非区域净就业创造。因此，有效实施不仅需要县域层面的数字发展，还需要跨县域资源协调和区域政策整合。",true,89,{"impact":229,"substance":230,"depth":231,"authority":232,"freshness":64,"relevant":21,"comment":233},24,23,19,14,"基于1450个县2007-2024年面板数据的准自然实验研究，证实数字乡村试点使县域非农就业提升约25%，但存在对邻县的负向溢出，对政策协调具有实质参考价值。",[235],{"name":10,"url":223},[26,237,238,239,240],"空间溢出","县域经济","数字乡村试点","非农就业",[242,243],"国家数字乡村试点 非农就业","县域 数字乡村 空间溢出","国家数字乡村试点非农就业-3336","10.3389\u002Ffsufs.2026.1950504",{"doi":245,"openalex_id":247,"authors":248,"venue":10,"cited_by_count":35,"oa_url":223,"card":256,"direction":47,"ingested_from":49},"W7214093544",[249,252,254],{"name":250,"orcid":251},"Wei Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0540-5934",{"name":253,"orcid":9},"Lijun Wang",{"name":255,"orcid":9},"Yizhuo Ma",{"tldr":257,"method":258,"finding":259,"direction":47,"opportunity":260},"评估国家数字乡村试点对县域非农就业的影响及空间溢出效应。","2007-2024年1450个县面板数据，多期DID与Callaway-Sant","试点县非农就业增约25%，但邻县出现负向溢出，部分为就业空间再分配。","可探究数字乡村试点的跨县协同机制与负溢出治理，及不同区域差异化政策设计。","2026-09-24T23:30:07.434384Z"]