[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3295":3,"related-3295":37},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":8,"paper":8,"created_at":36},3295,"FAO-China 高层次政策对话与考察访问 推动南南合作与三方合作伙伴关系——14国驻华使节聚焦数字农业与农食体系转型","https:\u002F\u002Fwww.fao.org\u002Fsstc-gateway\u002Fnews-and-events\u002Fnews\u002FFAO-China-high-level-study-tour-and-policy-dialogue","2026年9月14日至18日，FAO 与中国农业农村部（MARA）合作，在海南和北京举办高层政策对话与考察访问。来自佛得角、埃塞俄比亚、德国、印尼、意大利、肯尼亚、墨西哥、蒙古、巴基斯坦、南非、斯里兰卡、乌干达、乌兹别克斯坦、津巴布韦14国高级代表参会。访问内容覆盖热带农业与小农耕作、农产品加工与价值链、木薯与水果研究、种子育种与创新、农业研究与遗传资源、植物与动物科学、养蜂与数字农业。9月18日北京高层政策对话结束，FAO与中国正式启动多边务实合作。自2009年以来FAO-China南南合作计划已通过39个国家、区域、全球与三角合作项目支持粮食安全、可持续农业与农村发展。",null,"Senior representatives and Ambassadors from around 14 countries gathered in Hainan and Beijing, China, from 14 to 18 September 2026 for a high-level policy dialogue and study tour designed at advancing South-South and Triangular Cooperation as a driver of agrifood systems transformation.\n\nOrganized by the Food and Agriculture Organization of the United Nations (FAO), in collaboration with China’s Ministry of Agriculture and Rural Affairs (MARA), the event offered senior country representatives from Cabo Verde, Ethiopia, Germany, Indonesia, Italy, Kenya, Mexico, Mongolia, Pakistan, South Africa, Sri Lanka, Uganda, Uzbekistan and Zimbabwe, firsthand exposure to China’s agricultural innovations, while generating new opportunities to reinforce partnerships, exchange policy solutions and scale up cooperation under the FAO–China South-South Cooperation Programme.\n\nThe initiative created a space for countries to exchange priorities and identify new areas of cooperation.\n\nAcross Haikou, Danzhou and Sanya in Hainan Province, and later in Beijing, participants were exposed to a broad range of China’s agricultural development experiences. Visits covered tropical agriculture and smallholder farming, agricultural processing and value chains, cassava and fruit research, seed breeding and innovation, agricultural research and genetic resources, plant and animal sciences, apiculture and digital agriculture.\n\nThe delegation engaged with the Hainan Provincial Government, the Chinese Academy of Tropical Agricultural Sciences (CATAS), agricultural enterprises and cooperatives, Yazhou Bay Science and Technology City and the Nanfan seed R&D platforms, the Chinese Academy of Agricultural Sciences (CAAS) and China Agricultural University. These exchanges helped turn the study tour into a partnership-building platform, opening channels between participating countries and Chinese technical and research institutions for potential future cooperation.\n\nThe programme culminated on 18 September with a High-level Policy Dialogue in Beijing, where countries, MARA, FAO and partner institutions moved from learning and exchange to action, translating lessons from the week into future priorities and concrete partnerships.\n\nThe Dialogue underscored the role of the FAO-China SSC Programme as a practical platform for policy exchange and for matching country priorities with relevant knowledge, technologies and institutional expertise. Countries shared experiences as both recipients and providers of solutions, know-how and technologies, identified opportunities for future SSTC and triangular partnerships, and discussed practical ways to give SSTC a stronger and more systematic role across FAO’s Strategic Framework, programmes and priority corporate initiatives.\n\nSince its establishment in 2009, the Programme has played a catalytic role in supporting food security, sustainable agriculture and rural development through 39 national, regional, global and triangular cooperation projects, alongside more than 1 500 training, capacity-development, study tour and learning exchange activities reaching participants from over 100 countries.\n\nDuring her closing remarks, FAO Deputy Director-General, Beth Bechdol, underscored how SSTC must assume a stronger and more strategic role in how FAO supports Members and emphasized the need to mainstream SSTC more systematically across FAO’s work: moving beyond successful individual projects to stronger partnerships, investment and innovation.\n\nMs Hua Yang, Director of the South-South and Triangular Cooperation Division of FAO also underscored the need to translate the policy dialogue and study tour into concreate actions. “We need to broaden the discussion and look forward – drawing on what we have seen during the study tour and on the development priorities and capabilities of all participating countries – to identify opportunities for future cooperation”\n\nBy the end of the week, participants identified concrete follow-up opportunities in technical and institutional cooperation, technology adaptation, capacity development, triangular cooperation, investment and partnership building. FAO will work with participating countries, China and partner institutions to translate these priorities and new connections into cooperation that can deliver practical, scalable solutions for agrifood system transformation.","FAO 2026年09月","2026-09-18T00:00:00Z","报道",10,false,79,{"impact":17,"substance":18,"depth":19,"authority":19,"freshness":20,"relevant":21,"comment":22},26,18,15,5,1,"FAO与中国农业农村部联合举办的高层政策对话与考察，涉及14国使节与数字农业、南南合作，权威性与影响层级高，但属活动综述、信息增量中等且已过一周时效。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字农业","国际合作","南南合作","农食体系转型","农业科技交流",[32,33],"FAO 中国 南南合作 数字农业","14国驻华使节 海南 农业考察","FAO中国南南合作数字农业-3295",0,"2026-09-24T00:03:57.394547Z",{"total":38,"page":21,"page_size":38,"items":39},6,[40,86,164,216,251,293],{"id":41,"title":42,"url":43,"summary":44,"summary_zh":45,"content":8,"source_name":46,"source_url":43,"published_at":47,"category":48,"cover_url":8,"hotness":13,"is_selected":14,"score":49,"score_detail":50,"sources":56,"tags":58,"search_phrases":63,"slug":66,"view_count":35,"doi":67,"paper":68,"created_at":85},3367,"Digital Technology Adoption Conditioning Analysis Model in Agriculture","https:\u002F\u002Fdoi.org\u002F10.20944\u002Fpreprints202609.1880.v1","Technological advancements have been responsible for a significant part of the growth in agricultural productivity in recent years. Digital technologies have a high potential to enable the development of the agricultural sector, reshape value chains, and significantly contribute to more productive, resilient, and transparent food systems; however, their adoption in Brazil remains uneven due to regional disparities and structural bottlenecks. The research investigated this problem to build and validate the Digital Technology Adoption Conditioning Analysis Model (MAC-AgriTech), through a case study with Brazilian agricultural data, encompassing the identification of conditioning factors, their territorial evaluation, and the proposition of actions, while providing structured data collection and analysis instruments. The spatial analysis revealed deep territorial asymmetries, concentrating resources and infrastructure in the South and Southeast regions. Econometric modeling demonstrated that digital adoption is primarily driven by the producer’s digital familiarity, connectivity quality, and property scale, with 77% of producers identifying acquisition and maintenance costs as the primary barrier. The transition to digital agriculture in Brazil requires targeted, multidimensional public policies—such as expanded rural connectivity, technical training, and subsidized credit—to overcome regional gaps, and to increase agricultural competitiveness, efficiency, and sustainability.","近年来，技术进步对农业生产力增长贡献显著。数字技术具有巨大潜力，能够推动农业部门发展、重塑价值链，并为构建更高产、更具韧性且更透明的粮食体系作出重要贡献；然而，由于区域差异和结构性瓶颈，其在巴西的采用仍不均衡。本研究针对这一问题，通过一项基于巴西农业数据的案例研究，构建并验证了数字技术采用条件分析模型（MAC-AgriTech），涵盖条件因素的识别、其区域性评估以及行动建议的提出，同时提供了结构化的数据收集与分析工具。空间分析揭示了深刻的区域不对称性，资源和基础设施集中在南部和东南部地区。计量经济建模表明，数字采用主要受生产者数字熟悉度、连接质量和财产规模的驱动，其中77%的生产者将购置和维护成本视为主要障碍。巴西向数字农业的转型需要有针对性的、多维度的公共政策——如扩大农村连接、技术培训和补贴信贷——以克服区域差距，并提高农业竞争力、效率和可持续性。","Preprints.org","2026-09-22T00:00:00Z","论文",67,{"impact":51,"substance":52,"depth":53,"authority":38,"freshness":54,"relevant":21,"comment":55},16,20,17,8,"基于巴西农业数据的数字技术采纳条件分析模型研究，方法系统、结论有实证支撑，但属预印本且聚焦巴西，对国内参考价值有限。",[57],{"name":46,"url":43},[26,59,60,61,62],"智慧农业","农业人工智能","巴西农业","农村数字化",[64,65],"巴西 数字农业 技术采纳","MAC-AgriTech 模型","巴西数字农业技术采纳-3367","10.20944\u002Fpreprints202609.1880.v1",{"doi":67,"openalex_id":69,"authors":70,"venue":46,"cited_by_count":35,"oa_url":43,"card":78,"direction":82,"ingested_from":84},"W7214109425",[71,74,76],{"name":72,"orcid":73},"Isabela Santos","https:\u002F\u002Forcid.org\u002F0009-0002-3659-2020",{"name":75,"orcid":8},"Eduardo Dias",{"name":77,"orcid":8},"Lidia Scoton",{"tldr":79,"method":80,"finding":81,"direction":82,"opportunity":83},"构建并验证MAC-AgriTech模型，分析巴西农业数字技术采纳的条件因素与区域差异。","巴西农业数据案例研究，空间分析与计量经济建模。","采纳主要由数字熟悉度、连接质量和农场规模驱动，77%生产者视成本为首要障碍。","数字乡村与农业信息化","可延伸至中国等发展中国家，探究数字素养、基础设施与政策组合对技术采纳的因果效应。","openalex","2026-09-24T23:30:27.046035Z",{"id":87,"title":88,"url":89,"summary":90,"summary_zh":91,"content":8,"source_name":92,"source_url":89,"published_at":93,"category":48,"cover_url":8,"hotness":13,"is_selected":14,"score":94,"score_detail":95,"sources":100,"tags":102,"search_phrases":107,"slug":110,"view_count":35,"doi":111,"paper":112,"created_at":163},3351,"Integrated Land, Soil and Crop Information Systems in Ethiopia, Kenya, and Rwanda: Institutional Readiness and Implications for Climate-Smart Agriculture","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101776","Integrated land–soil–crop information systems are increasingly important for supporting climate-smart agricultural planning and implementation, yet their development in Eastern Africa is constrained by fragmented mandates, weak technical capacity, and limited data interoperability. This study assesses how institutional readiness, user demand, and technical and human-capacity conditions shape the integration of such systems into national Agricultural Knowledge and Innovation Systems (AKIS). A mixed-methods, multi-country assessment was conducted in Ethiopia, Kenya, and Rwanda (2022–2024), drawing on 145 semi-structured key-informant interviews, stakeholder mapping, national workshops, and a regional synthesis consultation. The analysis addressed three objectives: (i) diagnose institutional readiness and user demand; (ii) assess technical, infrastructural, and human-capacity requirements; and (iii) identify governance and design principles for embedding integrated information systems within AKIS and Climate-Smart Agriculture (CSA) strategies. The results show consistently high demand for spatially explicit soil and crop data but persistent fragmentation of mandates, uneven coordination, and substantial subnational capacity gaps. Despite these constraints, emerging digital-agriculture strategies, open-data policies, and regional soil-health initiatives provide potential entry points for integration. The study offers a comparative evidence base and design principles—covering governance, interoperability standards, co-production processes, and capacity strengthening—needed to transition from project-driven fragmentation toward interoperable and sustainable information systems. These findings provide diagnostic and design-oriented insights for national and regional efforts to strengthen agricultural information systems that support CSA implementation in Eastern Africa.","综合的土地—土壤—作物信息系统在支持气候智慧型农业规划与实施方面日益重要，但其在东非的发展受到职责分散、技术能力薄弱和数据互操作性有限的制约。本研究评估了制度准备度、用户需求以及技术和人力能力条件如何影响此类系统融入国家农业知识与创新系统（AKIS）。研究于2022—2024年在埃塞俄比亚、肯尼亚和卢旺达开展了混合方法、多国评估，基于145次半结构化关键知情人访谈、利益相关方映射、国家研讨会以及一次区域综合磋商。分析围绕三个目标展开：（i）诊断制度准备度和用户需求；（ii）评估技术、基础设施和人力能力需求；（iii）确定将综合信息系统嵌入AKIS和气候智慧型农业（CSA）战略的治理与设计原则。结果表明，对空间显式土壤和作物数据的需求持续较高，但职责分散、协调不均衡以及地方层面能力差距显著等问题长期存在。尽管存在这些制约，新兴的数字农业战略、开放数据政策和区域土壤健康倡议为整合提供了潜在切入点。本研究提供了比较性证据基础和设计原则——涵盖治理、互操作性标准、共同生产过程和能力建设——这些是从项目驱动的碎片化转向可互操作且可持续的信息系统所必需的。这些发现为国家和区域层面加强支持东非CSA实施的农业信息系统提供了诊断性和设计导向的见解。","Land","2026-09-23T00:00:00Z",81,{"impact":18,"substance":96,"depth":18,"authority":97,"freshness":98,"relevant":21,"comment":99},22,14,9,"基于三国145位关键知情人访谈的混合方法研究，为东非农业信息系统整合与气候智慧农业提供治理与设计原则，方法扎实、结论可靠，具区域政策参考价值。",[101],{"name":92,"url":89},[26,59,103,104,105,106],"土壤健康","气候智慧农业","农业数据","数据互操作",[108,109],"埃塞俄比亚 肯尼亚 卢旺达 农业信息系统","气候智慧农业 土壤作物数据","埃塞俄比亚肯尼亚卢旺达农业信息系统-3351","10.3390\u002Fland15101776",{"doi":111,"openalex_id":113,"authors":114,"venue":92,"cited_by_count":35,"oa_url":89,"card":157,"direction":162,"ingested_from":84},"W7214079859",[115,118,121,123,125,128,131,134,136,139,142,145,148,151,154],{"name":116,"orcid":117},"John Walker Recha","https:\u002F\u002Forcid.org\u002F0000-0002-1146-7197",{"name":119,"orcid":120},"A. Kooiman","https:\u002F\u002Forcid.org\u002F0000-0001-8208-6781",{"name":122,"orcid":8},"Thaïsa van der Woude",{"name":124,"orcid":8},"Hanneke Heesmans",{"name":126,"orcid":127},"Ermias Aynekulu","https:\u002F\u002Forcid.org\u002F0000-0002-1955-6995",{"name":129,"orcid":130},"Angela Nduta Gitau","https:\u002F\u002Forcid.org\u002F0000-0002-8963-2375",{"name":132,"orcid":133},"Pascal Debons","https:\u002F\u002Forcid.org\u002F0000-0001-6314-9935",{"name":135,"orcid":8},"Frank van Weert",{"name":137,"orcid":138},"Michael Okoti","https:\u002F\u002Forcid.org\u002F0000-0002-9550-8258",{"name":140,"orcid":141},"Elizabeth A. Okwuosa","https:\u002F\u002Forcid.org\u002F0000-0001-5941-7423",{"name":143,"orcid":144},"Kennedy Were","https:\u002F\u002Forcid.org\u002F0000-0002-8012-6812",{"name":146,"orcid":147},"Girma Mamo Diga","https:\u002F\u002Forcid.org\u002F0000-0002-2593-3187",{"name":149,"orcid":150},"Dejene Abera","https:\u002F\u002Forcid.org\u002F0000-0003-3692-8620",{"name":152,"orcid":153},"Pierre Celestin Ndayisaba","https:\u002F\u002Forcid.org\u002F0000-0002-8400-9146",{"name":155,"orcid":156},"Jules Rutebuka","https:\u002F\u002Forcid.org\u002F0000-0002-5236-3503",{"tldr":158,"method":159,"finding":160,"direction":82,"opportunity":161},"评估埃塞俄比亚、肯尼亚和卢旺达三国土地-土壤-作物综合信息系统的机构准备度与整合路径。","2022-2024年三国混合方法评估，含145个关键知情人访谈、利益相关方映射与","三国对空间化土壤作物数据需求高，但机构职责碎片化、协调不均、地方能力缺口大。","可研究开放数据政策与区域土壤健康倡议如何作为切入点，推动跨部门互操作标准与联合生产能力建设。","智慧农业 \u002F 农业物联网","2026-09-24T23:30:10.120978Z",{"id":165,"title":166,"url":167,"summary":168,"summary_zh":169,"content":8,"source_name":170,"source_url":167,"published_at":171,"category":48,"cover_url":8,"hotness":13,"is_selected":14,"score":172,"score_detail":173,"sources":175,"tags":177,"search_phrases":180,"slug":183,"view_count":35,"doi":184,"paper":185,"created_at":215},3347,"Integrating Material Flow Cost Accounting and IoT-Based Monitoring for Eco-Efficient Goat Farm Management","https:\u002F\u002Fdoi.org\u002F10.35145\u002F6e5wnv18","Goat farming plays an important role in supporting rural livelihoods, food production, and agricultural sustainability. However, conventional goat farm management often separates environmental monitoring, financial accounting, and livestock management, limiting the ability to identify resource inefficiencies and associated environmental impacts. This study aims to develop and implement GEMBALA (Green Eco-smart Management-Based Automation for Livestock and Accounting), an integrated digital platform that combines Internet of Things (IoT)-based environmental monitoring, Material Flow Cost Accounting (MFCA), emission analysis, artificial intelligence-based livestock management, and analytical reporting. The research employed a research and development approach in collaboration with CV Cahaya Firdaus (Fathur Farm). An IoT sensor prototype was developed, installed, and tested in a real goat farming environment to monitor temperature, humidity, Heat Index (THI), ammonia gas, and dust density. The platform also incorporates MFCA, emission, AI Estrus, AI Health, and analytical reporting modules. The results demonstrate progress toward integrating environmental, economic, and livestock management information within a unified digital platform. However, further validation is required to improve sensor data transmission, synchronization, emission calculations, MFCA data consistency, and AI performance evaluation. The study provides a foundation for eco-economic decision support, sustainable livestock management, and future commercialization of digital livestock technologies.","山羊养殖在支撑农村生计、粮食生产和农业可持续性方面发挥着重要作用。然而，传统的山羊养殖场管理往往将环境监测、财务核算和畜牧管理相互分离，限制了识别资源低效利用及相关环境影响的能力。本研究旨在开发并实施GEMBALA（基于绿色生态智能管理的畜牧与会计自动化平台），这是一个集成了基于物联网（IoT）的环境监测、物料流成本会计（MFCA）、排放分析、基于人工智能的畜牧管理以及分析报告的综合数字平台。研究采用研发方法，与CV Cahaya Firdaus（Fathur Farm）合作开展。研究开发了物联网传感器原型，并在真实山羊养殖环境中进行安装和测试，用于监测温度、湿度、热指数（THI）、氨气和粉尘密度。该平台还整合了MFCA、排放、AI发情检测、AI健康和分析报告模块。结果表明，在将环境、经济和畜牧管理信息整合到统一数字平台方面取得了进展。然而，仍需进一步验证，以改进传感器数据传输、同步、排放计算、MFCA数据一致性以及AI性能评估。本研究为生态经济决策支持、可持续畜牧管理以及数字畜牧技术的未来商业化提供了基础。","Journal of Applied Business and Technology","2026-09-24T00:00:00Z",62,{"impact":54,"substance":18,"depth":51,"authority":13,"freshness":13,"relevant":21,"comment":174},"论文提出融合物联网监测与物料流成本核算的山羊养殖数字平台，方法有创新但尚处原型验证阶段，产业影响有限。",[176],{"name":170,"url":167},[26,59,60,178,179],"农业物联网","畜牧养殖",[181,182],"GEMBALA 山羊养殖 物联网","MFCA 畜牧 环境监测","GEMBALA山羊养殖物联网-3347","10.35145\u002F6e5wnv18",{"doi":184,"openalex_id":186,"authors":187,"venue":170,"cited_by_count":35,"oa_url":167,"card":210,"direction":162,"ingested_from":84},"W7214075234",[188,190,192,194,196,198,201,204,206,208],{"name":189,"orcid":8},"Nicholas Renaldo",{"name":191,"orcid":8},"Sulaiman Musa",{"name":193,"orcid":8},"Jaswar Koto",{"name":195,"orcid":8},"Kristy Veronica",{"name":197,"orcid":8},"Umar Faruq",{"name":199,"orcid":200},"Yulvia Nora Marlim","https:\u002F\u002Forcid.org\u002F0009-0007-8624-5023",{"name":202,"orcid":203},"Rangga Rahmadian Yuliendi","https:\u002F\u002Forcid.org\u002F0000-0003-2288-3580",{"name":205,"orcid":8},"Wilda Susanti",{"name":207,"orcid":8},"Achmad Tavip Junaedi",{"name":209,"orcid":8},"Nabila Wahid",{"tldr":211,"method":212,"finding":213,"direction":162,"opportunity":214},"开发集成物联网监测与物料流成本核算的山羊养殖数字平台GEMBALA。","研发方法，在真实羊场部署物联网传感器并集成MFCA、排放分析与AI模块。","平台初步实现环境、经济与养殖信息整合，但传感器传输与数据一致性仍需验证。","可延伸研究物联网数据与MFCA实时耦合的算法优化及AI模块的长期性能验证。","2026-09-24T23:30:09.863218Z",{"id":217,"title":218,"url":219,"summary":220,"summary_zh":221,"content":8,"source_name":222,"source_url":219,"published_at":93,"category":48,"cover_url":8,"hotness":13,"is_selected":14,"score":223,"score_detail":224,"sources":228,"tags":230,"search_phrases":235,"slug":238,"view_count":35,"doi":239,"paper":240,"created_at":250},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",77,{"impact":51,"substance":225,"depth":18,"authority":226,"freshness":98,"relevant":21,"comment":227},21,13,"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。",[229],{"name":222,"url":219},[26,231,232,233,234],"农村电商","数字乡村","可持续农业","fsQCA",[236,237],"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":239,"openalex_id":241,"authors":242,"venue":222,"cited_by_count":35,"oa_url":219,"card":245,"direction":82,"ingested_from":84},"W7214123656",[243],{"name":244,"orcid":8},"Qian Shan",{"tldr":246,"method":247,"finding":248,"direction":82,"opportunity":249},"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":252,"title":253,"url":254,"summary":255,"summary_zh":256,"content":8,"source_name":222,"source_url":254,"published_at":93,"category":48,"cover_url":8,"hotness":13,"is_selected":14,"score":257,"score_detail":258,"sources":260,"tags":262,"search_phrases":267,"slug":270,"view_count":35,"doi":271,"paper":272,"created_at":292},3343,"Supply chain digitalization and proactive green innovation in agri-food enterprises: evidence from source-reduction patent bias","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1957657","Supply chain digitalization has emerged as a critical mechanism for advancing sustainable agriculture amidst intensifying climate and resource constraints. Utilizing panel data from A-share listed agri-food enterprises in China spanning 2013 to 2024, this study examines the impact of supply chain digitalization on corporate green innovation and its underlying transmission pathways. Our findings indicate that digital empowerment significantly enhances overall green innovation, with a pronounced structural preference for proactive source-reduction patents over reactive, end-of-pipe compliance technologies. This positive effect remains robust after addressing endogeneity concerns through instrumental variable (IV) analysis, Difference-in-Differences (DID) models, and double machine learning (DML) approaches. Mechanism tests reveal that digitalization fosters green innovation through three primary channels: enhancing supply chain synergies, strengthening R&D absorptive capacity, and elevating corporate risk-taking thresholds. Notably, this effect is amplified in environments characterized by high customer concentration and concentrated market structures. Furthermore, causal forest analysis underscores heterogeneous treatment effects, demonstrating that digital empowerment yields greater benefits for non-state-owned enterprises, firms with dominant market positions, and those deeply embedded in supply networks. These insights clarify the distributional implications of digital transformation and provide targeted policy guidance for accelerating the adoption of source-reduction technologies across the agri-food supply chain.","供应链数字化已成为在气候与资源约束日益加剧背景下推进可持续农业的关键机制。本研究利用2013年至2024年中国A股上市农业食品企业的面板数据，考察供应链数字化对企业绿色创新的影响及其内在传导路径。研究发现，数字赋能显著提升了整体绿色创新水平，且在结构上明显偏好主动型源头减量专利，而非末端治理型被动合规技术。在通过工具变量（IV）分析、双重差分（DID）模型和双重机器学习（DML）方法处理内生性问题后，这一正向效应依然稳健。机制检验表明，数字化通过三条主要渠道促进绿色创新：增强供应链协同效应、强化研发吸收能力以及提升企业风险承担阈值。值得注意的是，该效应在客户集中度高和市场结构集中的环境中更为显著。此外，因果森林分析揭示了异质性处理效应，表明数字赋能对非国有企业、具有市场主导地位的企业以及深度嵌入供应网络的企业带来更大收益。这些发现阐明了数字化转型的分配效应，并为加快农业食品供应链中源头减量技术的采用提供了有针对性的政策指引。",80,{"impact":18,"substance":96,"depth":18,"authority":226,"freshness":98,"relevant":21,"comment":259},"基于A股农食企业面板数据的实证研究，方法扎实、结论新颖，对农业供应链数字化转型与源头减量技术政策有参考价值。",[261],{"name":222,"url":254},[26,263,264,265,266],"农业供应链","农业企业","绿色创新","专利结构",[268,269],"农业供应链 数字化 绿色创新","A股 农食企业 专利","农业供应链数字化绿色创新-3343","10.3389\u002Ffsufs.2026.1957657",{"doi":271,"openalex_id":273,"authors":274,"venue":222,"cited_by_count":35,"oa_url":254,"card":286,"direction":290,"ingested_from":84},"W7214118553",[275,278,280,283],{"name":276,"orcid":277},"Siliang Guo","https:\u002F\u002Forcid.org\u002F0000-0001-9093-9588",{"name":279,"orcid":8},"Yan Qu",{"name":281,"orcid":282},"Yang Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-0789-4938",{"name":284,"orcid":285},"Bingqian Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-8212-452X",{"tldr":287,"method":288,"finding":289,"direction":290,"opportunity":291},"基于2013-2024年中国农食上市企业面板数据，研究供应链数字化如何促进企业主动型绿色创新。","A股农食企业面板数据，IV、DID、双重机器学习及因果森林分析。","数字化显著提升绿色创新，且更偏向源头减量专利而非末端治理技术。","农业绿色发展与碳","可探究数字化驱动源头减量专利在中小农食企业及不同供应链结构中的扩散机制与政策激励。","2026-09-24T23:30:07.915956Z",{"id":294,"title":295,"url":296,"summary":297,"summary_zh":8,"content":8,"source_name":298,"source_url":8,"published_at":299,"category":48,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":300,"sources":303,"tags":305,"search_phrases":309,"slug":312,"view_count":35,"doi":313,"paper":314,"created_at":322},3327,"Digitalization of smallholder agriculture: Adoption and impacts——特刊导论（Sun et al. 2026）","https:\u002F\u002Fwww.sciopen.com\u002Flocal\u002Farticle_pdf\u002F10.1016\u002Fj.jia.2026.04.021.pdf","《Journal of Integrative Agriculture》2026年专刊导论，IAMO孙占力博士、华中农大熊航教授、北大易红梅教授等担任客座编辑。本专刊收录Liu et al. (2026)研究——使用面板数据和多种估计方法调查数字技术使用如何影响中国易地搬迁农户收入稳定性，发现数字技术显著改善收入水平和稳定性；Hu et al. (2026)使用来自5省1,833个农场的倾向得分匹配数据，发现网络信息使用实际上增加了小农户的化肥支出，反思了农业数字化的复杂性；Bai et al. (2026)研究数字素养通过改善农民对气候灾害风险的感知促进气候适应性生产行为；Amolegbe et al. (2026)研究尼日利亚数字知识与电商估值。","《Journal of Integrative Agriculture》2026专刊","2026-09-17T00:00:00Z",{"impact":18,"substance":96,"depth":301,"authority":97,"freshness":38,"relevant":21,"comment":302},19,"国际期刊专刊导论，汇集多国小农户数字化实证研究，方法扎实、结论具反思性，对农业信息化研究与实践有参考价值。",[304],{"name":298,"url":296},[26,231,306,307,308],"数字素养","小农户","数字鸿沟",[310,311],"Journal of Integrative Agriculture 数字农业 专刊","易地搬迁农户 数字技术 收入稳定性","JournalofIntegrativeAgriculture数字农业专刊-3327","10.1016\u002Fj.jia.2026.04.021.pdf",{"doi":313,"openalex_id":8,"authors":315,"venue":8,"cited_by_count":35,"oa_url":8,"card":316,"direction":82,"ingested_from":321},[],{"tldr":317,"method":318,"finding":319,"direction":82,"opportunity":320},"该专刊导论综述小农户农业数字化的采纳与影响，涵盖中国及尼日利亚的多项实证研究。","基于面板数据、倾向得分匹配等方法的专刊导论，整合多国小农户实证研究。","数字技术可提升收入稳定性，但也可能增加化肥支出，数字化影响具有复杂性。","可深入探究数字技术对不同农户群体的异质性影响及化肥增投的机制与调控路径。","agent","2026-09-24T00:04:03.016677Z"]