[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3535":3,"related-3535":100},{"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,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":76,"slug":79,"view_count":42,"doi":80,"paper":81,"created_at":99},3535,"Policy coordination of public data openness and supercomputing center for agricultural chain resilience","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1882123","Strengthening agricultural supply chain resilience is critical for safeguarding food security and promoting high-quality agricultural development in the face of escalating external shocks, including climate extremes, market volatility, and geopolitical uncertainties. Although public data openness and supercomputing infrastructure represent critical pillars of digital transformation, how their coordinated deployment enhances agricultural resilience remains both theoretically underdeveloped and empirically underexamined. Using provincial panel data from 31 Chinese provinces over 2011–2024, we exploit the staggered rollout of public data platforms and supercomputing centers as quasi-natural experiments, constructing a synergistic difference-in-differences (DID) model to isolate their coordinated policy effects. The causal identification is further fortified using event-study parallel trend tests, placebo simulations, propensity score matching (PSM-DID), and double\u002Fdebiased machine learning (DDML). Our baseline estimates demonstrate that policy synergy between public data openness and supercomputing infrastructure substantially enhances agricultural supply chain resilience, with effects remaining robust across multiple specifications and economically significant. Mechanistic analysis reveals two primary transmission channels through which policy synergy strengthens resilience: (i) industrial structure rationalization, and (ii) agricultural electrification enhancement. Specifically, policy coordination (1) reduces informational barriers between agricultural and related industries, (2) facilitates optimal factor reallocation across sectors, and (3) accelerates the adoption of electricity-intensive precision agriculture technologies. Heterogeneity analysis reveals that policy effectiveness is substantially greater in central and western regions (coefficient ~0.089) compared to eastern regions (coefficient ~0.036), suggesting a ‘technology compensation effect’ whereby digital infrastructure offsets traditional regional disparities. Policy effects remain robustly positive across both major grain-producing and grain-consuming zones, indicating broad applicability. By unpacking the complementary and sequential dynamics between data factors and computing capacity, this study moves beyond the traditional “black box” treatment of the digital economy, providing critical policy insights for the coordinated deployment of digital public goods to secure modern food systems.","在气候极端事件、市场波动和地缘政治不确定性等外部冲击日益加剧的背景下，增强农业供应链韧性对于保障粮食安全和推动农业高质量发展至关重要。尽管公共数据开放和超算基础设施是数字化转型的关键支柱，但二者协同部署如何增强农业韧性，在理论上尚不成熟，在实证上也缺乏充分检验。本文利用2011—2024年中国31个省份的面板数据，将公共数据平台和超算中心的交错 rollout 作为准自然实验，构建协同双重差分（DID）模型以识别其协调政策效应。因果识别进一步通过事件研究平行趋势检验、安慰剂模拟、倾向得分匹配（PSM-DID）以及双重\u002F去偏机器学习（DDML）加以强化。基准估计表明，公共数据开放与超算基础设施之间的政策协同显著增强了农业供应链韧性，该效应在多种设定下保持稳健且具有经济显著性。机制分析揭示了政策协同增强韧性的两条主要传导渠道：（i）产业结构合理化，以及（ii）农业电气化水平提升。具体而言，政策协调（1）降低了农业与相关产业之间的信息壁垒，（2）促进了要素在部门间的优化再配置，（3）加速了电力密集型精准农业技术的采用。异质性分析表明，政策效果在中西部地区（系数约0.089）显著大于东部地区（系数约0.036），暗示存在“技术补偿效应”，即数字基础设施抵消了传统的区域差距。政策效应在粮食主产区和主销区均保持稳健为正，表明其具有广泛适用性。通过揭示数据要素与算力之间的互补性和序贯动态，本研究超越了数字经济传统的“黑箱”处理方式，为协调部署数字公共产品以保障现代粮食体系提供了关键政策启示。",null,"Frontiers in Sustainable Food Systems","2026-09-25T00:00:00Z","论文",10,true,85,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,14,8,1,"基于31省面板数据的准自然实验，证实公共数据开放与超算中心协同显著提升农业供应链韧性，方法严谨、结论有政策价值，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","农业供应链","农业数字化","公共数据开放","超算中心",[],{"status":34,"locked":35,"version":36,"method":37,"evidence":38},"needs_review",false,"2026-10-22.2","rules",{"candidates":39,"agricultural_evidence":14,"reason":75},[40,48,56,63,70],{"code":41,"score":42,"supported":14,"title":43,"abstract":44,"tags":47},"I1",7,[],[45,46],"精准农业","precision agriculture",[29],{"code":49,"score":50,"supported":14,"title":51,"abstract":52,"tags":55},"A8",6,[],[53,54],"粮食安全","food security",[],{"code":57,"score":50,"supported":14,"title":58,"abstract":59,"tags":62},"I2",[],[60,61],"机器学习","machine learning",[],{"code":64,"score":65,"supported":14,"title":66,"abstract":67,"tags":69},"I6",4,[],[68],"数据要素",[27],{"code":71,"score":22,"supported":35,"title":72,"abstract":73,"tags":74},"I",[],[],[29],"多个产业证据相当，需要确认主归属",[77,78],"公共数据开放 超算中心 农业供应链韧性","农业供应链韧性 准自然实验","公共数据开放超算中心农业供应链韧性-3535","10.3389\u002Ffsufs.2026.1882123",{"doi":80,"openalex_id":82,"authors":83,"venue":10,"cited_by_count":91,"oa_url":6,"card":92,"direction":96,"ingested_from":98},"W7214402306",[84,86,88],{"name":85,"orcid":9},"Zhaoqun Chen",{"name":87,"orcid":9},"Jiewen Zheng",{"name":89,"orcid":90},"Cheng Chi","https:\u002F\u002Forcid.org\u002F0000-0002-3823-6735",0,{"tldr":93,"method":94,"finding":95,"direction":96,"opportunity":97},"基于中国省级面板数据，用交错DID识别公共数据开放与超算中心协同对农业供应链韧性的因果效应。","2011–2024年31省面板数据，交错DID、PSM-DID、DDML与事件研","政策协同显著提升农业供应链韧性，经产业结构合理化与农业电气化传导，中西部效应更强。","数字乡村与农业信息化","可探究数据开放与算力协同的时序互补机制，并下沉到县域或产业链微观主体验证技术补偿效应。","openalex","2026-09-26T23:30:07.920756Z",{"total":50,"page":22,"page_size":50,"items":101},[102,162,219,265,365,427],{"id":103,"title":104,"url":105,"summary":106,"summary_zh":9,"content":9,"source_name":107,"source_url":9,"published_at":108,"category":12,"cover_url":9,"hotness":13,"is_selected":35,"score":109,"score_detail":110,"sources":113,"tags":115,"primary_topic":119,"secondary_topics":125,"classification":126,"search_phrases":148,"slug":151,"view_count":22,"doi":9,"paper":152,"created_at":161},5227,"China's farm digitization reduces agricultural carbon emissions but the 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 W7221809067(2026-10-16)","2026-10-16T00:00:00Z",84,{"impact":17,"substance":18,"depth":19,"authority":111,"freshness":21,"relevant":22,"comment":112},13,"基于31省2010—2023年面板数据的全国性实证研究，揭示数字化与农业碳排放的U型关系及0.540转折点，结论新颖且具政策参考价值，值得进入每日精选。",[114],{"name":107,"url":105},[27,116,29,117,118],"智慧农业","农业碳排放","绿色创新",{"code":120,"slug":121,"name":122,"path":123,"parent_code":124},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":127,"locked":35,"version":36,"method":37,"evidence":128},"classified",{"candidates":129,"agricultural_evidence":14},[130,135,140,144],{"code":120,"score":65,"supported":14,"title":131,"abstract":132,"tags":134},[],[133],"碳排放",[117],{"code":41,"score":136,"supported":35,"title":137,"abstract":138,"tags":139},2,[],[],[29,116],{"code":71,"score":22,"supported":35,"title":141,"abstract":142,"tags":143},[],[],[29],{"code":64,"score":22,"supported":35,"title":145,"abstract":146,"tags":147},[],[],[27],[149,150],"农业数字化 碳排放 U型","数字技术 农业碳减排","农业数字化碳排放U型-5227",{"doi":9,"openalex_id":9,"authors":153,"venue":9,"cited_by_count":91,"oa_url":9,"card":154,"direction":158,"ingested_from":160},[],{"tldr":155,"method":156,"finding":157,"direction":158,"opportunity":159},"基于中国31省2010—2023年面板数据，发现农业数字化与碳排放呈U型非线性关系。","双向固定效应面板模型与SEM中介模型，31省平衡面板数据。","数字化通过精准管理和绿色创新降碳，但存在0.540的U型转折点。","农业绿色发展与碳","可探究转折点后数字化增碳的机制，及劳动生产率等调节因素如何推迟拐点。","agent","2026-10-18T00:05:30.735414Z",{"id":163,"title":164,"url":165,"summary":166,"summary_zh":9,"content":9,"source_name":167,"source_url":9,"published_at":168,"category":12,"cover_url":9,"hotness":13,"is_selected":35,"score":169,"score_detail":170,"sources":173,"tags":175,"primary_topic":9,"secondary_topics":178,"classification":179,"search_phrases":207,"slug":210,"view_count":136,"doi":9,"paper":211,"created_at":218},5133,"「数字田」里好「丰」景——吴兴农业数字化转型观察 浙江大学农业品牌研究中心调研","http:\u002F\u002Fwww.brand.zju.edu.cn\u002F2026\u002F1013\u002Fc57338a3214218\u002Fpage.htm","浙江大学中国农业品牌研究中心调研报道了湖州吴兴区农业数字化转型。埭溪镇山背村黑米全链科创与青年双创融合项目负责人、法国索邦大学博士王泽峰扎根创业近2年,带领团队完成创收超100万元。文章指出尽管数字技术在农业领域的应用前景广阔,但从技术示范走向规模化应用仍面临挑战:既精通农业生产规律又掌握数字技术的复合型人才有限;基层农户的数字素养与应用技能薄弱,缺少培育专业化服务的组织。吴兴区鳜鱼产业组建6个由青年创业者带领的「鳜鱼」产业联农带农联合体,在工厂化循环水、规模化苗种标准培育等关键技术领域取得突破,订单价格较普通鳜鱼高出15%至20%。","浙江大学中国农业品牌研究中心 2026 年 10 月 13 日","2026-10-13T00:00:00Z",66,{"impact":20,"substance":19,"depth":171,"authority":111,"freshness":50,"relevant":22,"comment":172},15,"浙大团队对吴兴农业数字化转型的实地调研，含鳜鱼联合体与人才瓶颈等一手信息，具行业参考价值。",[174],{"name":167,"url":165},[27,116,29,176,177],"复合型人才","鳜鱼产业",[],{"status":34,"locked":35,"version":36,"method":37,"evidence":180},{"candidates":181,"agricultural_evidence":14,"reason":75},[182,189,195,199,203],{"code":183,"score":184,"supported":14,"title":185,"abstract":186,"tags":188},"D1",3,[],[187],"工厂化循环水",[],{"code":190,"score":184,"supported":14,"title":191,"abstract":192,"tags":194},"G4",[],[193],"联农带农",[],{"code":41,"score":136,"supported":35,"title":196,"abstract":197,"tags":198},[],[],[29,116],{"code":71,"score":22,"supported":35,"title":200,"abstract":201,"tags":202},[],[],[29],{"code":64,"score":22,"supported":35,"title":204,"abstract":205,"tags":206},[],[],[27],[208,209],"吴兴 鳜鱼 数字化","浙江大学 农业品牌研究中心 吴兴","吴兴鳜鱼数字化-5133",{"doi":9,"openalex_id":9,"authors":212,"venue":9,"cited_by_count":91,"oa_url":9,"card":213,"direction":96,"ingested_from":160},[],{"tldr":214,"method":215,"finding":216,"direction":96,"opportunity":217},"调研湖州吴兴区农业数字化转型，剖析数字技术从示范走向规模化应用的挑战与青年创业实践。","浙江大学品牌研究中心实地调研吴兴区黑米、鳜鱼等产业数字化案例。","复合型人才短缺、农户数字素养薄弱制约规模化；鳜鱼联合体技术突破使订单价高15%-20%。","可研究数字农业复合型人才培育机制与基层服务组织模式，破解技术规模化落地瓶颈。","2026-10-17T00:13:45.129820Z",{"id":220,"title":221,"url":222,"summary":223,"summary_zh":9,"content":9,"source_name":224,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":35,"score":225,"score_detail":226,"sources":228,"tags":230,"primary_topic":234,"secondary_topics":240,"classification":241,"search_phrases":253,"slug":256,"view_count":136,"doi":9,"paper":257,"created_at":264},4962,"公共数据开放、劳动力流转与农户减贫增收","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F180148.html","莫馥宁(西南财经大学中国西部经济研究院;广西农商联合银行博士后科研工作站)在《财经科学》2026年第3期发表的研究以地方政府上线公共数据开放平台为准自然实验,考察其对农户减贫增收的影响。研究发现,公共数据开放显著提升农户收入,降低贫困发生率和贫困程度;机制分析表明,劳动力流转是核心路径,通过破解信息不对称、降低生产与就业风险、消除返乡顾虑,引导劳动力回流本地,实现经营性与工资性收入双增。异质性显示,数字素养高、创业意愿强、储蓄水平高的农户更明显受益。","《财经科学》2026年第3期",74,{"impact":19,"substance":17,"depth":19,"authority":20,"freshness":136,"relevant":22,"comment":227},"核心期刊实证研究，机制与异质性分析扎实，对数字乡村与数据要素惠农政策有参考价值，但发表时间较早、时效性偏弱。",[229],{"name":224,"url":222},[27,231,232,30,233],"数字素养","农户增收","劳动力流转",{"code":235,"slug":236,"name":237,"path":238,"parent_code":239},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":127,"locked":35,"version":36,"method":37,"evidence":242},{"candidates":243,"agricultural_evidence":14},[244,249],{"code":235,"score":65,"supported":14,"title":245,"abstract":246,"tags":248},[],[247],"农户收入",[232],{"code":64,"score":136,"supported":35,"title":250,"abstract":251,"tags":252},[],[],[27,231],[254,255],"公共数据开放 农户减贫增收","西南财经大学 劳动力流转","公共数据开放农户减贫增收-4962",{"doi":9,"openalex_id":9,"authors":258,"venue":9,"cited_by_count":91,"oa_url":9,"card":259,"direction":96,"ingested_from":160},[],{"tldr":260,"method":261,"finding":262,"direction":96,"opportunity":263},"以公共数据开放平台上线为准自然实验，检验其对农户减贫增收的影响。","准自然实验，地方政府公共数据开放平台上线，农户收入与贫困数据。","公共数据开放显著提升农户收入、降低贫困，劳动力流转是核心机制。","可探究公共数据开放与农业物联网数据协同对农户增收的异质性作用。","2026-10-15T00:06:08.286860Z",{"id":266,"title":267,"url":268,"summary":269,"summary_zh":270,"content":9,"source_name":271,"source_url":268,"published_at":272,"category":12,"cover_url":9,"hotness":273,"is_selected":35,"score":274,"score_detail":275,"sources":280,"tags":284,"primary_topic":288,"secondary_topics":293,"classification":304,"search_phrases":348,"slug":351,"view_count":22,"doi":352,"paper":353,"created_at":364},4739,"Regenerating Rural Futures Through Climate-Smart Agriculture Innovations: A Systems Perspective on Building Climate Resilience, Food Security and Inclusive Rural Prosperity in 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)","2026-10-12T00:00:00Z",25,78,{"impact":19,"substance":276,"depth":277,"authority":278,"freshness":13,"relevant":22,"comment":279},21,17,12,"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。",[281,282],{"name":271,"url":268},{"name":271,"url":283},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298250",[27,29,285,286,287],"气候智慧农业","小农韧性","农村转型",{"code":49,"slug":289,"name":290,"path":291,"parent_code":292},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[294,299],{"code":295,"slug":296,"name":297,"path":298,"parent_code":124},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"code":300,"slug":301,"name":302,"path":303,"parent_code":124},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":127,"locked":35,"version":36,"method":37,"evidence":305},{"candidates":306,"agricultural_evidence":14},[307,311,316,321,328,334,340,344],{"code":49,"score":20,"supported":14,"title":308,"abstract":309,"tags":310},[54],[53,54],[],{"code":295,"score":278,"supported":14,"title":312,"abstract":314,"tags":315},[313],"climate resilience",[313],[285],{"code":41,"score":278,"supported":14,"title":317,"abstract":319,"tags":320},[318],"smart agriculture",[318],[29],{"code":300,"score":322,"supported":14,"title":323,"abstract":324,"tags":327},9,[],[325,326,301],"生物多样性","农业生态",[],{"code":329,"score":184,"supported":14,"title":330,"abstract":331,"tags":333},"G2",[],[332],"smallholder",[],{"code":335,"score":184,"supported":14,"title":336,"abstract":337,"tags":339},"J1",[],[338],"农业政策",[],{"code":71,"score":22,"supported":35,"title":341,"abstract":342,"tags":343},[],[],[29],{"code":64,"score":22,"supported":35,"title":345,"abstract":346,"tags":347},[],[],[27],[349,350],"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":352,"openalex_id":354,"authors":355,"venue":271,"cited_by_count":91,"oa_url":268,"card":358,"direction":363,"ingested_from":98},"W7221462831",[356],{"name":357,"orcid":9},"Franklin N. Ellah",{"tldr":359,"method":360,"finding":361,"direction":158,"opportunity":362},"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","2026-10-12T23:30:07.631373Z",{"id":366,"title":367,"url":368,"summary":369,"summary_zh":370,"content":9,"source_name":10,"source_url":368,"published_at":371,"category":12,"cover_url":9,"hotness":13,"is_selected":35,"score":372,"score_detail":373,"sources":376,"tags":378,"primary_topic":9,"secondary_topics":382,"classification":383,"search_phrases":405,"slug":408,"view_count":136,"doi":409,"paper":410,"created_at":426},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。","2026-10-07T00:00:00Z",67,{"impact":21,"substance":374,"depth":277,"authority":111,"freshness":322,"relevant":22,"comment":375},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。",[377],{"name":10,"url":368},[27,379,29,380,381],"低碳农业","乡村文旅","农产品供应链",[],{"status":384,"locked":35,"version":36,"method":37,"evidence":385},"unclassified",{"candidates":386,"agricultural_evidence":14,"reason":404},[387,392,396,400],{"code":388,"score":22,"supported":35,"title":389,"abstract":390,"tags":391},"E",[],[],[381],{"code":71,"score":22,"supported":35,"title":393,"abstract":394,"tags":395},[],[],[29],{"code":41,"score":22,"supported":35,"title":397,"abstract":398,"tags":399},[],[],[29],{"code":64,"score":22,"supported":35,"title":401,"abstract":402,"tags":403},[],[],[27],"缺少足够的主题证据",[406,407],"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":409,"openalex_id":411,"authors":412,"venue":10,"cited_by_count":91,"oa_url":420,"card":421,"direction":96,"ingested_from":98},"W7220839382",[413,416,418],{"name":414,"orcid":415},"Wei Li","https:\u002F\u002Forcid.org\u002F0000-0003-4665-4643",{"name":417,"orcid":9},"Peng Yin",{"name":419,"orcid":9},"Ruirui Zhou","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1976172\u002Fpdf",{"tldr":422,"method":423,"finding":424,"direction":96,"opportunity":425},"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":428,"title":429,"url":430,"summary":431,"summary_zh":9,"content":9,"source_name":432,"source_url":9,"published_at":433,"category":12,"cover_url":9,"hotness":13,"is_selected":35,"score":225,"score_detail":434,"sources":436,"tags":438,"primary_topic":9,"secondary_topics":441,"classification":442,"search_phrases":449,"slug":452,"view_count":453,"doi":9,"paper":454,"created_at":461},4162,"公共数据开放与农业经济韧性","https:\u002F\u002Fgotu.wisvora.com\u002Farticle\u002F1100","王光荣（中国现代教育学报2026, 2(1): 101-106）。构建2012-2023年中国293个地级市面板数据，运用固定效应模型、双重差分模型等检验：1)公共数据开放对农业经济韧性具有显著正向促进作用（经稳健性检验后依然成立）；2)异质性分析表明公共数据开放的韧性提升效应在数字基础设施水平较高、农业发展水平高的地区更为凸显。","中国现代教育学报2026年第1期","2026-10-01T00:00:00Z",{"impact":19,"substance":17,"depth":19,"authority":111,"freshness":184,"relevant":22,"comment":435},"基于293个地级市面板数据的实证研究，方法规范、结论有新意，但发表已逾一周，时效性偏弱，适合主题聚合而非每日精选。",[437],{"name":432,"url":430},[27,439,440,30],"数字基础设施","农业经济韧性",[],{"status":384,"locked":35,"version":36,"method":37,"evidence":443},{"candidates":444,"agricultural_evidence":14,"reason":404},[445],{"code":64,"score":136,"supported":35,"title":446,"abstract":447,"tags":448},[],[],[27,439],[450,451],"公共数据开放 农业经济韧性","293地级市 面板数据","公共数据开放农业经济韧性-4162",5,{"doi":9,"openalex_id":9,"authors":455,"venue":9,"cited_by_count":91,"oa_url":9,"card":456,"direction":96,"ingested_from":160},[],{"tldr":457,"method":458,"finding":459,"direction":96,"opportunity":460},"基于293个地级市面板数据，检验公共数据开放对农业经济韧性的促进作用。","2012-2023年地级市面板数据，固定效应与双重差分模型。","公共数据开放显著提升农业经济韧性，且在数字基础设施和农业发展水平高的地区更明显。","可探究公共数据开放影响农业韧性的微观机制及数字基础设施的门槛效应。","2026-10-04T00:09:10.498452Z"]