[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3958":3,"related-3958":70},{"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,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":55,"slug":58,"view_count":20,"doi":8,"paper":59,"created_at":69},3958,"农业数字化对农业全产业链建设的影响研究——来自农业农村大数据试点的经验证据","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fhznydxxbshkxb\u002Fmulu\u002F559140.html","齐文浩（吉林农业大学）、宋长兴（吉林财经大学）、蔡起华（郑州大学）基于2012-2021年30个省份的面板数据，利用农业农村大数据试点政策，采用双重差分模型，研究农业数字化对农业全产业链建设的影响效应及作用机制。研究发现：农业数字化可以显著促进农业全产业链建设，这一影响效应在非粮食主产区、财政支持力度大的地区和产业结构高级化水平高的地区更大；农业数字化通过促进农业技术创新、提高农村人力资本和提升农民消费水平三条路径赋能农业全产业链建设。",null,"华中农业大学学报（社科版）·2026年","2026-09-15T00:00:00Z","论文",10,false,80,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,23,18,14,3,1,"基于30省面板数据与大数据试点政策的实证研究，结论与机制路径清晰，对数字乡村与产业链政策有参考价值，但发表已逾半月，时效性偏弱。",[24],{"name":9,"url":6},[26,27,28,29,30],"数字乡村","农业数字化","农业技术创新","全产业链","农业农村大数据",[],{"status":33,"locked":13,"version":34,"method":35,"evidence":36},"unclassified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":53,"reason":54},[38,43,48],{"code":39,"score":21,"supported":13,"title":40,"abstract":41,"tags":42},"I",[],[],[27],{"code":44,"score":21,"supported":13,"title":45,"abstract":46,"tags":47},"I1",[],[],[27],{"code":49,"score":21,"supported":13,"title":50,"abstract":51,"tags":52},"I6",[],[],[26],true,"缺少足够的主题证据",[56,57],"农业数字化 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relationship is nonlinear (U-shaped)","https:\u002F\u002Fcommonplace.workforcefutures.net\u002Fpaper\u002Fopenalex:W7221809067","Gao、Feng、Yuan、Sun 在 OpenAlex 2026-10-16 索引的最新研究,基于中国31个省份2010—2023年平衡面板数据,采用双向固定效应面板与SEM中介模型,发现农业数字技术通过精准管理与间接融资\u002F绿色创新两条路径降低碳排放,但呈U型非线性,转折点为数字化指数0.540,劳动生产率提升可推迟转折点,数字化在区域、规模、排放来源维度呈现异质性。","OpenAlex 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Nigeria","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298251","Rural Nigeria stands at a defining crossroads. Although agriculture remains central to national food security, employment and rural livelihoods, the ecological, economic and institutional systems that sustain agricultural production are under increasing pressure. Climate variability, land degradation, biodiversity loss, demographic change, market volatility and institutional constraints are interacting in ways that threaten both agricultural productivity and the resilience of rural communities. These challenges are deeply interconnected and cannot be addressed through isolated sectoral interventions or yield-focused agricultural policies alone. This paper examines the regeneration of rural futures through the lens of Climate-Smart Agriculture (CSA), arguing that CSA should be understood not merely as a collection of improved farming practices but as an integrated systems framework for rural transformation. Drawing upon contemporary scholarship in climate science, agricultural development, resilience studies, ecological restoration, rural sociology and institutional governance, the paper explores how climate-smart approaches can contribute simultaneously to agricultural productivity, climate resilience, environmental sustainability and inclusive rural prosperity. Focusing on Nigeria, the analysis examines the country’s diverse agroecological zones, evolving climate risks, smallholder farming systems, demographic transitions and institutional landscape. The paper demonstrates that effective climate-smart strategies must be locally adaptive while remaining aligned with nationally coherent development objectives. It argues that Nigeria’s long-term agricultural competitiveness will depend less on expanding cultivated land and more on improving the resilience, productivity and sustainability of existing farming systems through knowledge-intensive innovation, ecosystem restoration, digital technologies, strengthened rural institutions and integrated value chain development. The paper further contends that sustainable rural transformation requires moving beyond fragmented development projects towards Rural Resilience Ecosystems in which agriculture, environmental management, community institutions, infrastructure, digital technologies, enterprise development and knowledge systems function as mutually reinforcing components of a coherent development strategy. Within this framework, the Climate-Smart Farmer Hub is presented as an operational example of how climate-smart agriculture, rural innovation, environmental stewardship and community capacity development can be integrated within locally responsive institutional systems that support broader national objectives for sustainable agricultural transformation and climate resilience. The paper concludes that Regenerating Rural Futures provides a useful systems-oriented paradigm for understanding how ecological integrity, economic opportunity, institutional effectiveness and community wellbeing can be strengthened simultaneously. By integrating contemporary scholarship with the realities of Nigerian agriculture and an original community-centred institutional framework, the study contributes an evidence-informed analytical perspective for advancing climate-smart agriculture, rural resilience and sustainable rural transformation in Nigeria and comparable development contexts.","尼日利亚农村正处在一个决定性的十字路口。尽管农业仍然是国家粮食安全、就业和农村生计的核心，但支撑农业生产的生态、经济和制度体系正面临日益增大的压力。气候变率、土地退化、生物多样性丧失、人口变化、市场波动和制度约束相互交织，威胁着农业生产力和农村社区的韧性。这些挑战深度关联，无法仅通过孤立的部门干预或以产量为导向的农业政策加以解决。本文从气候智慧型农业（Climate-Smart Agriculture, CSA）的视角审视农村未来的再生，主张CSA不应仅被理解为一系列改良农业实践的集合，而应被视为农村转型的综合系统框架。本文借鉴气候科学、农业发展、韧性研究、生态恢复、农村社会学和制度治理领域的当代学术成果，探讨气候智慧型方法如何能够同时促进农业生产力、气候韧性、环境可持续性和包容性农村繁荣。以尼日利亚为焦点，本文分析了该国多样的农业生态区、不断演变的气候风险、小农耕作系统、人口转型和制度格局。本文表明，有效的气候智慧型战略必须具有地方适应性，同时与国家连贯的发展目标保持一致。本文认为，尼日利亚的长期农业竞争力将较少取决于扩大耕地面积，而更多取决于通过知识密集型创新、生态系统恢复、数字技术、强化的农村机构和综合价值链发展来提升现有耕作系统的韧性、生产力和可持续性。本文进一步主张，可持续的农村转型需要超越碎片化的发展项目，迈向农村韧性生态系统，在这一系统中，农业、环境管理、社区机构、基础设施、数字技术、企业发展 and 知识体系作为连贯发展战略中相互强化的组成部分发挥作用。在这一框架内，气候智慧型农民中心（Climate-Smart Farmer Hub）作为一个操作实例被提出，展示气候智","Zenodo (CERN European Organization for Nuclear Research)",25,78,{"impact":18,"substance":261,"depth":262,"authority":202,"freshness":12,"relevant":21,"comment":263},21,17,"以系统视角论述尼日利亚气候智慧农业与农村韧性建设，提出社区型制度框架，具参考价值但属境外研究。",[265,266],{"name":257,"url":254},{"name":257,"url":267},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298250",[26,27,269,270,271],"气候智慧农业","小农韧性","农村转型",{"code":273,"slug":274,"name":275,"path":276,"parent_code":277},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[279,284],{"code":280,"slug":281,"name":282,"path":283,"parent_code":96},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"code":285,"slug":286,"name":287,"path":288,"parent_code":96},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":99,"locked":13,"version":34,"method":35,"evidence":290},{"candidates":291,"agricultural_evidence":53},[292,298,303,308,315,320,326,330],{"code":273,"score":19,"supported":53,"title":293,"abstract":295,"tags":297},[294],"food security",[296,294],"粮食安全",[],{"code":280,"score":202,"supported":53,"title":299,"abstract":301,"tags":302},[300],"climate resilience",[300],[269],{"code":44,"score":202,"supported":53,"title":304,"abstract":306,"tags":307},[305],"smart agriculture",[305],[27],{"code":285,"score":309,"supported":53,"title":310,"abstract":311,"tags":314},9,[],[312,313,286],"生物多样性","农业生态",[],{"code":211,"score":20,"supported":53,"title":316,"abstract":317,"tags":319},[],[318],"smallholder",[],{"code":321,"score":20,"supported":53,"title":322,"abstract":323,"tags":325},"J1",[],[324],"农业政策",[],{"code":39,"score":21,"supported":13,"title":327,"abstract":328,"tags":329},[],[],[27],{"code":49,"score":21,"supported":13,"title":331,"abstract":332,"tags":333},[],[],[26],[335,336],"尼日利亚 气候智慧农业","气候智慧农业 农业数字化 农村转型 小农韧性","尼日利亚气候智慧农业-4739","10.5281\u002Fzenodo.23298251",{"doi":338,"openalex_id":340,"authors":341,"venue":257,"cited_by_count":61,"oa_url":254,"card":344,"direction":349,"ingested_from":350},"W7221462831",[342],{"name":343,"orcid":8},"Franklin N. Ellah",{"tldr":345,"method":346,"finding":347,"direction":131,"opportunity":348},"本文从系统视角探讨气候智慧型农业如何推动尼日利亚农村再生，兼顾气候韧性、粮食安全与包容性繁荣。","基于气候科学、农业发展、韧性研究等多学科文献，结合尼日利亚农业生态区与制度分析。","气候智慧型农业应作为整合系统框架，通过知识创新、数字技术、生态修复与制度强化提升现有系统韧性。","可研究气候智慧型农业系统框架在不同农业生态区的本地化适配与数字技术赋能机制。","智慧农业 \u002F 农业物联网","openalex","2026-10-12T23:30:07.631373Z",{"id":353,"title":354,"url":355,"summary":356,"summary_zh":357,"content":8,"source_name":358,"source_url":355,"published_at":359,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":360,"score_detail":361,"sources":364,"tags":366,"primary_topic":8,"secondary_topics":370,"classification":371,"search_phrases":391,"slug":394,"view_count":109,"doi":395,"paper":396,"created_at":412},4410,"Digital capability and supply chain resilience in rural food tourism ventures: the role of food supply chain integration","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1976172","Introduction Rural food tourism ventures coordinate perishable local supplies, food-service operations and fluctuating tourist demand. How digital capability and food supply chain integration relate to resource-saving practices and enterprise-level resilience remains unclear. Methods A four-wave matched survey of 467 women operators was analyzed using covariance-based structural equation modeling, bootstrap tests of statistical indirect associations and an ordinal-estimator sensitivity analysis. Public user-generated content was analyzed separately to characterize platform discourse. Results Digital capability was positively associated with food supply chain integration and enterprise-level supply chain resilience. Integration was positively associated with both the low-carbon-oriented and resource-saving food practices index and resilience. The direct association between the practices index and resilience was not statistically significant. Bootstrap estimates supported the indirect association between digital capability and the practices index through integration, but not the serial indirect association extending to resilience. Only the resilience text classifier met the prespecified reporting threshold; the remaining labels were retained as exploratory semantic cues. Discussion The findings distinguish resource-saving practices from disruption resilience and identify supply chain integration as an organizational correlate of both. Future research should test these associations in probability-based and gender-comparative samples and validate reported practices against measured energy use, food loss and emissions.","引言 乡村美食旅游企业需要协调易腐的本地供应、餐饮服务运营与波动的游客需求。数字能力与食品供应链整合如何与资源节约型实践及企业层面的韧性相关联，目前尚不清楚。方法 对467名女性经营者的四轮匹配调查数据，采用基于协方差的结构方程模型、统计间接关联的Bootstrap检验以及有序估计量敏感性分析进行分析。公开的用户生成内容另行分析，以刻画平台话语特征。结果 数字能力与食品供应链整合及企业层面的供应链韧性呈正相关。整合与低碳导向及资源节约型食品实践指数和韧性均呈正相关。实践指数与韧性之间的直接关联在统计上不显著。Bootstrap估计支持数字能力通过整合与实践指数之间的间接关联，但不支持延伸至韧性的序列间接关联。仅韧性文本分类器达到预设的报告阈值；其余标签作为探索性语义线索保留。讨论 研究结果将资源节约型实践与中断韧性区分开来，并确定供应链整合是二者的组织关联因素。未来研究应在基于概率的样本和性别比较样本中检验这些关联，并依据实测能源使用、食品损耗和排放数据验证所报告的实践。","Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z",67,{"impact":83,"substance":362,"depth":262,"authority":82,"freshness":309,"relevant":21,"comment":363},20,"基于467名女性经营者四轮匹配调查的实证研究，揭示数字能力通过供应链整合关联资源节约实践与企业韧性，方法规范、结论有增量，但属细分领域学术成果，公共影响有限。",[365],{"name":358,"url":355},[26,367,27,368,369],"低碳农业","乡村文旅","农产品供应链",[],{"status":33,"locked":13,"version":34,"method":35,"evidence":372},{"candidates":373,"agricultural_evidence":53,"reason":54},[374,379,383,387],{"code":375,"score":21,"supported":13,"title":376,"abstract":377,"tags":378},"E",[],[],[369],{"code":39,"score":21,"supported":13,"title":380,"abstract":381,"tags":382},[],[],[27],{"code":44,"score":21,"supported":13,"title":384,"abstract":385,"tags":386},[],[],[27],{"code":49,"score":21,"supported":13,"title":388,"abstract":389,"tags":390},[],[],[26],[392,393],"乡村食品旅游 数字能力 供应链韧性","农产品供应链 农业数字化 乡村文旅 低碳农业","乡村食品旅游数字能力供应链韧性-4410","10.3389\u002Ffsufs.2026.1976172",{"doi":395,"openalex_id":397,"authors":398,"venue":358,"cited_by_count":61,"oa_url":406,"card":407,"direction":66,"ingested_from":350},"W7220839382",[399,402,404],{"name":400,"orcid":401},"Wei Li","https:\u002F\u002Forcid.org\u002F0000-0003-4665-4643",{"name":403,"orcid":8},"Peng Yin",{"name":405,"orcid":8},"Ruirui Zhou","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1976172\u002Fpdf",{"tldr":408,"method":409,"finding":410,"direction":66,"opportunity":411},"研究数字能力与食品供应链整合如何影响乡村食品旅游企业的资源节约与韧性。","对467名女性经营者四轮匹配调查，用结构方程模型和Bootstrap检验。","数字能力正向关联供应链整合与韧性；整合关联节约实践与韧性，但实践与韧性直接关联不显著。","可在概率样本与性别比较中验证，并用实测能耗、食物损耗与排放校准自报实践。","2026-10-08T23:30:07.258973Z",{"id":414,"title":415,"url":416,"summary":417,"summary_zh":8,"content":8,"source_name":418,"source_url":8,"published_at":419,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":420,"score_detail":421,"sources":423,"tags":425,"primary_topic":429,"secondary_topics":433,"classification":434,"search_phrases":457,"slug":460,"view_count":103,"doi":461,"paper":462,"created_at":469},4198,"促进农业技术创新的数字力量——基于数字乡村建设视角","https:\u002F\u002Fnyxdhyj.isa.ac.cn\u002Farticle\u002Fdoi\u002F10.13872\u002Fj.1000-0275.2025.1035","黄建碧、马春艳、李睿琪、熊航（华中农业大学经济管理学院\u002F数字农业研究院）。发表于《农业现代化研究》2026年第47卷第2期325-338页。从数字乡村建设视角系统分析其对农业技术创新的促进作用，基于数字乡村试点数据构建多维评价指标体系，结合双重差分模型与机制检验考察数字乡村建设对农业技术创新的影响路径与作用机理。研究发现数字乡村建设通过促进农业科技创新要素集聚、提升农业科技创新效率、推动农业科技创新成果转化等机制显著促进农业技术创新。得到国家自然科学基金项目(72173050)、教育部哲学社会科学研究重大专项(2024JZDZ060)资助。","农业现代化研究2026, 47(2)","2026-09-01T00:00:00Z",75,{"impact":18,"substance":16,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":422},"核心期刊论文，方法规范、结论明确，但发表已逾一月，时效性偏弱，适合主题聚合而非每日精选。",[424],{"name":418,"url":416},[26,426,28,427,428],"双重差分","华中农业大学","国家自然科学基金",{"code":49,"slug":430,"name":431,"path":432,"parent_code":39},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":99,"locked":13,"version":34,"method":35,"evidence":435},{"candidates":436,"agricultural_evidence":53},[437,441,447,452],{"code":49,"score":202,"supported":53,"title":438,"abstract":439,"tags":440},[26],[26],[26],{"code":442,"score":20,"supported":53,"title":443,"abstract":444,"tags":446},"G1",[],[445],"成果转化",[],{"code":44,"score":20,"supported":53,"title":448,"abstract":449,"tags":451},[],[450],"数字农业",[],{"code":235,"score":20,"supported":53,"title":453,"abstract":454,"tags":456},[],[455],"农业现代化",[],[458,459],"华中农业大学 数字乡村 农业技术创新","数字乡村试点 双重差分 农业技术创新","华中农业大学数字乡村农业技术创新-4198","10.13872\u002Fj.1000-0275.2025.1035",{"doi":461,"openalex_id":8,"authors":463,"venue":8,"cited_by_count":61,"oa_url":8,"card":464,"direction":66,"ingested_from":68},[],{"tldr":465,"method":466,"finding":467,"direction":66,"opportunity":468},"基于数字乡村试点数据，实证检验数字乡村建设对农业技术创新的促进作用及机制。","数字乡村试点数据、多维评价指标体系、双重差分模型与机制检验。","数字乡村建设通过要素集聚、效率提升和成果转化显著促进农业技术创新。","可探究数字乡村建设对不同区域、不同农业技术类型创新影响的异质性及空间溢出效应。","2026-10-05T00:04:56.164123Z"]