[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4410":3,"related-4410":87},{"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":61,"slug":64,"view_count":65,"doi":66,"paper":67,"created_at":86},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。",null,"Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z","论文",10,false,67,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,20,17,13,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","低碳农业","农业数字化","乡村文旅","农产品供应链",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":59,"reason":60},[39,44,49,54],{"code":40,"score":22,"supported":14,"title":41,"abstract":42,"tags":43},"E",[],[],[31],{"code":45,"score":22,"supported":14,"title":46,"abstract":47,"tags":48},"I",[],[],[29],{"code":50,"score":22,"supported":14,"title":51,"abstract":52,"tags":53},"I1",[],[],[29],{"code":55,"score":22,"supported":14,"title":56,"abstract":57,"tags":58},"I6",[],[],[27],true,"缺少足够的主题证据",[62,63],"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",2,"10.3389\u002Ffsufs.2026.1976172",{"doi":66,"openalex_id":68,"authors":69,"venue":10,"cited_by_count":77,"oa_url":78,"card":79,"direction":83,"ingested_from":85},"W7220839382",[70,73,75],{"name":71,"orcid":72},"Wei Li","https:\u002F\u002Forcid.org\u002F0000-0003-4665-4643",{"name":74,"orcid":9},"Peng Yin",{"name":76,"orcid":9},"Ruirui Zhou",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1976172\u002Fpdf",{"tldr":80,"method":81,"finding":82,"direction":83,"opportunity":84},"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。","数字乡村与农业信息化","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。","openalex","2026-10-08T23:30:07.258973Z",{"total":88,"page":22,"page_size":88,"items":89},6,[90,152,212,313,378,422],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":9,"content":9,"source_name":95,"source_url":9,"published_at":96,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":97,"score_detail":98,"sources":103,"tags":105,"primary_topic":109,"secondary_topics":115,"classification":116,"search_phrases":138,"slug":141,"view_count":22,"doi":9,"paper":142,"created_at":151},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":99,"substance":100,"depth":101,"authority":20,"freshness":17,"relevant":22,"comment":102},22,23,18,"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。",[104],{"name":95,"url":93},[27,106,29,107,108],"智慧农业","农业碳排放","绿色创新",{"code":110,"slug":111,"name":112,"path":113,"parent_code":114},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":117,"locked":14,"version":35,"method":36,"evidence":118},"classified",{"candidates":119,"agricultural_evidence":59},[120,126,130,134],{"code":110,"score":121,"supported":59,"title":122,"abstract":123,"tags":125},4,[],[124],"碳排放",[107],{"code":50,"score":65,"supported":14,"title":127,"abstract":128,"tags":129},[],[],[29,106],{"code":45,"score":22,"supported":14,"title":131,"abstract":132,"tags":133},[],[],[29],{"code":55,"score":22,"supported":14,"title":135,"abstract":136,"tags":137},[],[],[27],[139,140],"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":143,"venue":9,"cited_by_count":77,"oa_url":9,"card":144,"direction":148,"ingested_from":150},[],{"tldr":145,"method":146,"finding":147,"direction":148,"opportunity":149},"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":153,"title":154,"url":155,"summary":156,"summary_zh":9,"content":9,"source_name":157,"source_url":9,"published_at":158,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":159,"score_detail":160,"sources":164,"tags":166,"primary_topic":9,"secondary_topics":169,"classification":170,"search_phrases":200,"slug":203,"view_count":65,"doi":9,"paper":204,"created_at":211},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":161,"substance":101,"depth":162,"authority":20,"freshness":88,"relevant":22,"comment":163},14,15,"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。",[165],{"name":157,"url":155},[27,106,29,167,168],"复合型人才","鳜鱼产业",[],{"status":171,"locked":14,"version":35,"method":36,"evidence":172},"needs_review",{"candidates":173,"agricultural_evidence":59,"reason":199},[174,181,187,191,195],{"code":175,"score":176,"supported":59,"title":177,"abstract":178,"tags":180},"D1",3,[],[179],"工厂化循环水",[],{"code":182,"score":176,"supported":59,"title":183,"abstract":184,"tags":186},"G4",[],[185],"联农带农",[],{"code":50,"score":65,"supported":14,"title":188,"abstract":189,"tags":190},[],[],[29,106],{"code":45,"score":22,"supported":14,"title":192,"abstract":193,"tags":194},[],[],[29],{"code":55,"score":22,"supported":14,"title":196,"abstract":197,"tags":198},[],[],[27],"多个产业证据相当，需要确认主归属",[201,202],"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":205,"venue":9,"cited_by_count":77,"oa_url":9,"card":206,"direction":83,"ingested_from":150},[],{"tldr":207,"method":208,"finding":209,"direction":83,"opportunity":210},"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":213,"title":214,"url":215,"summary":216,"summary_zh":217,"content":9,"source_name":218,"source_url":215,"published_at":219,"category":12,"cover_url":9,"hotness":220,"is_selected":14,"score":221,"score_detail":222,"sources":226,"tags":230,"primary_topic":234,"secondary_topics":240,"classification":251,"search_phrases":296,"slug":299,"view_count":22,"doi":300,"paper":301,"created_at":312},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":101,"substance":223,"depth":19,"authority":224,"freshness":13,"relevant":22,"comment":225},21,12,"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。",[227,228],{"name":218,"url":215},{"name":218,"url":229},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298250",[27,29,231,232,233],"气候智慧农业","小农韧性","农村转型",{"code":235,"slug":236,"name":237,"path":238,"parent_code":239},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[241,246],{"code":242,"slug":243,"name":244,"path":245,"parent_code":114},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"code":247,"slug":248,"name":249,"path":250,"parent_code":114},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":117,"locked":14,"version":35,"method":36,"evidence":252},{"candidates":253,"agricultural_evidence":59},[254,260,265,270,276,282,288,292],{"code":235,"score":161,"supported":59,"title":255,"abstract":257,"tags":259},[256],"food security",[258,256],"粮食安全",[],{"code":242,"score":224,"supported":59,"title":261,"abstract":263,"tags":264},[262],"climate resilience",[262],[231],{"code":50,"score":224,"supported":59,"title":266,"abstract":268,"tags":269},[267],"smart agriculture",[267],[29],{"code":247,"score":21,"supported":59,"title":271,"abstract":272,"tags":275},[],[273,274,248],"生物多样性","农业生态",[],{"code":277,"score":176,"supported":59,"title":278,"abstract":279,"tags":281},"G2",[],[280],"smallholder",[],{"code":283,"score":176,"supported":59,"title":284,"abstract":285,"tags":287},"J1",[],[286],"农业政策",[],{"code":45,"score":22,"supported":14,"title":289,"abstract":290,"tags":291},[],[],[29],{"code":55,"score":22,"supported":14,"title":293,"abstract":294,"tags":295},[],[],[27],[297,298],"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":300,"openalex_id":302,"authors":303,"venue":218,"cited_by_count":77,"oa_url":215,"card":306,"direction":311,"ingested_from":85},"W7221462831",[304],{"name":305,"orcid":9},"Franklin N. Ellah",{"tldr":307,"method":308,"finding":309,"direction":148,"opportunity":310},"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":314,"title":315,"url":316,"summary":317,"summary_zh":318,"content":9,"source_name":319,"source_url":316,"published_at":320,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":97,"score_detail":321,"sources":323,"tags":325,"primary_topic":329,"secondary_topics":333,"classification":334,"search_phrases":359,"slug":362,"view_count":176,"doi":363,"paper":364,"created_at":377},4033,"The Upgrading and Transformation of Farmer Professional Cooperative in the Digital Age: Insights from China Digital Village Policy","https:\u002F\u002Fdoi.org\u002F10.3390\u002Feconomies14100435","Farmer professional cooperatives are important vehicles for agricultural modernisation. In the digital age, the development of cooperatives has followed two typical pathways: upgrading in scale and transformation in business operations. Existing research has focused on the impact of digitalisation on the former, while paying less attention to the issue of structural transformation within cooperatives. To investigate this issue, this study constructs a difference-in-differences model based on a sample of data from Chinese farmer professional cooperatives. By leveraging the quasi-natural experiment of the digital village policy to construct variables, this study examines the impact of rural digitalisation on cooperative upgrading and transformation and analyses the mechanisms driving the divergence of cooperative development pathways. The study indicates that: (1) The China Digital Village Policy has had a significant positive impact on both the transformation and upgrading of farmer professional cooperatives. (2) Conditional on observable variables, the China Digital Village Policy is positively associated with cooperative upgrading and transformation, with patterns consistent with potential pathways through information channel capability and technological innovation capability. (3) Under the same observable-variable constraints, market expansion capability and capital acquisition capability show conditional association patterns that are significantly positively associated with cooperative upgrading. For cooperative transformation, however, they show conditional suppression patterns. This indicates that agricultural digitalisation is closely linked to cooperative upgrading and transformation. The differentiated empirical patterns of digitalisation along the dimensions of information channels, technological innovation, market expansion and capital acquisition provide empirical evidence for understanding the pathways of cooperative differentiation.","农民专业合作社是农业现代化的重要载体。在数字时代，合作社发展遵循了两条典型路径：规模升级与经营转型。已有研究主要关注数字化对前者的影响，而对合作社结构转型问题关注不足。为探究这一问题，本研究基于中国农民专业合作社数据样本构建了双重差分模型。通过利用数字乡村政策的准自然实验构建变量，本研究考察了乡村数字化对合作社升级与转型的影响，并分析了驱动合作社发展路径分化的机制。研究表明：(1) 中国数字乡村政策对农民专业合作社的转型与升级均产生了显著正向影响。(2) 在可观测变量条件下，中国数字乡村政策与合作社升级和转型呈正相关，其模式与通过信息渠道能力和技术创新能力的潜在路径相一致。(3) 在相同的可观测变量约束下，市场拓展能力和资本获取能力与合作社升级呈现显著正相关的条件关联模式；然而对于合作社转型，它们则呈现条件抑制模式。这表明农业数字化与合作社升级和转型密切相关。数字化在信息渠道、技术创新、市场拓展和资本获取等维度上的差异化实证模式，为理解合作社分化路径提供了经验证据。","Economies","2026-10-01T00:00:00Z",{"impact":99,"substance":99,"depth":101,"authority":20,"freshness":21,"relevant":22,"comment":322},"基于中国数字乡村政策准自然实验的双重差分研究，方法规范、结论有新意，对数字乡村与合作社发展路径具参考价值。",[324],{"name":319,"url":316},[27,29,326,327,328],"农业现代化","农民合作社","合作社转型",{"code":55,"slug":330,"name":331,"path":332,"parent_code":45},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":117,"locked":14,"version":35,"method":36,"evidence":335},{"candidates":336,"agricultural_evidence":59},[337,342,347,351,355],{"code":55,"score":162,"supported":59,"title":338,"abstract":340,"tags":341},[339],"digital village",[27,339],[27],{"code":343,"score":121,"supported":59,"title":344,"abstract":345,"tags":346},"J2",[],[326],[326],{"code":277,"score":22,"supported":14,"title":348,"abstract":349,"tags":350},[],[],[327],{"code":45,"score":22,"supported":14,"title":352,"abstract":353,"tags":354},[],[],[29],{"code":50,"score":22,"supported":14,"title":356,"abstract":357,"tags":358},[],[],[29],[360,361],"中国数字乡村政策 农民专业合作社","数字乡村 合作社 转型升级","中国数字乡村政策农民专业合作社-4033","10.3390\u002Feconomies14100435",{"doi":363,"openalex_id":365,"authors":366,"venue":319,"cited_by_count":77,"oa_url":316,"card":372,"direction":83,"ingested_from":85},"W7215037926",[367,369],{"name":368,"orcid":9},"Yingying Zhang",{"name":370,"orcid":371},"Yaodong Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-7573-2850",{"tldr":373,"method":374,"finding":375,"direction":83,"opportunity":376},"基于中国数字乡村政策准自然实验，用双重差分法检验数字化对农民合作社升级与转型的影响。","双重差分模型，中国农民专业合作社样本，数字乡村政策准自然实验。","数字乡村政策显著促进合作社升级与转型，信息渠道与技术创新为潜在路径，市场与资本能力对升级促进、对转型","可深入探究市场扩张与资本获取能力为何抑制合作社业务转型，及其组织与制度边界条件。","2026-10-02T23:30:30.775133Z",{"id":379,"title":380,"url":381,"summary":382,"summary_zh":9,"content":9,"source_name":383,"source_url":9,"published_at":384,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":385,"score_detail":386,"sources":388,"tags":390,"primary_topic":9,"secondary_topics":394,"classification":395,"search_phrases":410,"slug":413,"view_count":176,"doi":9,"paper":414,"created_at":421},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。","华中农业大学学报（社科版）·2026年","2026-09-15T00:00:00Z",80,{"impact":99,"substance":100,"depth":101,"authority":161,"freshness":176,"relevant":22,"comment":387},"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。",[389],{"name":383,"url":381},[27,29,391,392,393],"农业技术创新","全产业链","农业农村大数据",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":396},{"candidates":397,"agricultural_evidence":59,"reason":60},[398,402,406],{"code":45,"score":22,"supported":14,"title":399,"abstract":400,"tags":401},[],[],[29],{"code":50,"score":22,"supported":14,"title":403,"abstract":404,"tags":405},[],[],[29],{"code":55,"score":22,"supported":14,"title":407,"abstract":408,"tags":409},[],[],[27],[411,412],"农业数字化 全产业链","农业农村大数据 农业技术创新 农业数字化 全产业链","农业数字化全产业链-3958",{"doi":9,"openalex_id":9,"authors":415,"venue":9,"cited_by_count":77,"oa_url":9,"card":416,"direction":83,"ingested_from":150},[],{"tldr":417,"method":418,"finding":419,"direction":83,"opportunity":420},"基于农业农村大数据试点，用双重差分法检验农业数字化对农业全产业链建设的影响。","2012-2021年30省面板数据，双重差分模型，机制检验。","农业数字化显著促进全产业链建设，在非粮食主产区、财政支持强和产业结构高级地区更明显。","可探究数字化对产业链各环节的异质性影响，以及试点政策的空间溢出与长期动态效应。","2026-10-02T11:53:16.256096Z",{"id":423,"title":424,"url":425,"summary":426,"summary_zh":427,"content":9,"source_name":428,"source_url":425,"published_at":429,"category":12,"cover_url":9,"hotness":220,"is_selected":14,"score":385,"score_detail":430,"sources":432,"tags":437,"primary_topic":441,"secondary_topics":442,"classification":449,"search_phrases":473,"slug":476,"view_count":88,"doi":477,"paper":478,"created_at":500},3562,"Toward Common Prosperity: Spatially Heterogeneous Effects and Mechanisms of Digital Village Construction on the Urban–Rural Income Gap in Mountainous China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101801","Mountainous regions are critical to promoting inclusive growth and reducing spatial inequality worldwide. Digital village construction offers a new pathway to overcome geographical constraints and reshape urban–rural income distribution in these areas. Using county-level data for 2020 and focusing on mountainous China, this study integrates the Theil index, IV-2SLS, MGWR, and mediation models to characterize the spatial pattern of the urban–rural income gap (URIG) and identify the spatially heterogeneous effects and potential mechanisms of digital village construction across different geomorphological settings. The results indicate that: (1) Large and highly dispersed URIG are concentrated in mountainous regions. On average, the gap is approximately twice as large as that in non-mountainous regions and varies markedly across geomorphological types. URIG is highest in mountain counties, shows the greatest variation in plateau counties, and tends to be lower in hill counties. (2) Digital village construction exerts a significant negative effect on URIG in mountainous China, with the effect being stronger than in non-mountainous regions and generally increasing in magnitude from east to west. (3) The effects of different DVI dimensions on URIG exhibit substantial spatial heterogeneity and vary in their spatial scales of influence. Rural economy digitalization shows widespread and consistently negative effects and emerges as the dominant dimension across most mountainous regions, while the effect of other dimensions is more localized, particularly rural life digitalization, which shows stronger negative effects in mountain counties, plateau counties, and underdeveloped mountainous counties. (4) Agricultural operation modernization and labor allocation optimization constitute potential channels underlying the association between digital village construction and a narrower URIG, with the estimated indirect effect being more pronounced through labor allocation optimization. These findings provide empirical evidence for advancing inclusive development in mountainous regions amid China’s common prosperity agenda, with broader implications for place-based digital village construction.","山区对于促进包容性增长和缩小全球空间不平等至关重要。数字乡村建设为这些地区突破地理约束、重塑城乡收入分配格局提供了新路径。本研究以2020年县级数据为基础，聚焦中国山区，综合运用泰尔指数、IV-2SLS、MGWR和中介模型，刻画城乡收入差距（URIG）的空间格局，并识别数字乡村建设在不同地貌条件下的空间异质性效应及其潜在机制。结果表明：（1）规模较大且高度分散的URIG集中于山区。其平均值约为非山区的两倍，且在不同地貌类型间差异显著。URIG在山区县最高，在高原县变异最大，在丘陵县则趋于较低水平。（2）数字乡村建设对中国山区URIG具有显著负向影响，其效应强于非山区，且总体上呈自东向西递增态势。（3）数字乡村建设不同维度对URIG的影响表现出显著的空间异质性，且其影响的空间尺度各异。农村经济数字化呈现出广泛且稳定的负向效应，并在大多数山区成为主导维度，而其他维度的效应则更具局部性，尤其是农村生活数字化，在山区县、高原县及欠发达山区县表现出更强的负向效应。（4）农业经营现代化和劳动力配置优化构成数字乡村建设与URIG缩小之间关联的潜在渠道，其中通过劳动力配置优化的间接效应更为明显。上述发现为中国共同富裕议程下推进山区包容性发展提供了经验证据，并对因地制宜推进数字乡村建设具有更广泛的启示。","Land","2026-09-25T00:00:00Z",{"impact":101,"substance":99,"depth":101,"authority":20,"freshness":21,"relevant":22,"comment":431},"基于县域数据的实证研究，方法扎实、结论对山区数字乡村政策有参考价值，但属学术论文，公共传播热度有限。",[433,434],{"name":428,"url":425},{"name":435,"url":436},"MDPI Land 15(10), 1801 2026-09-25","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F10\u002F1801",[27,438,29,439,440],"县域经济","山区农业","城乡收入差距",{"code":55,"slug":330,"name":331,"path":332,"parent_code":45},[443],{"code":444,"slug":445,"name":446,"path":447,"parent_code":448},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",{"status":117,"locked":14,"version":35,"method":36,"evidence":450},{"candidates":451,"agricultural_evidence":59},[452,456,461,465,469],{"code":55,"score":162,"supported":59,"title":453,"abstract":454,"tags":455},[339],[27,339],[27],{"code":444,"score":224,"supported":59,"title":457,"abstract":459,"tags":460},[458],"rural income",[458],[440],{"code":182,"score":22,"supported":14,"title":462,"abstract":463,"tags":464},[],[],[438],{"code":45,"score":22,"supported":14,"title":466,"abstract":467,"tags":468},[],[],[29],{"code":50,"score":22,"supported":14,"title":470,"abstract":471,"tags":472},[],[],[29],[474,475],"数字乡村 城乡收入差距 山区","县域 数字乡村 泰尔指数","数字乡村城乡收入差距山区-3562","10.3390\u002Fland15101801",{"doi":477,"openalex_id":479,"authors":480,"venue":428,"cited_by_count":77,"oa_url":425,"card":495,"direction":83,"ingested_from":85},"W7214349448",[481,484,487,490,492],{"name":482,"orcid":483},"Xueting Yang","https:\u002F\u002Forcid.org\u002F0000-0003-4633-2185",{"name":485,"orcid":486},"Xiaoping Qiu","https:\u002F\u002Forcid.org\u002F0000-0001-6310-5959",{"name":488,"orcid":489},"Fubiao Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-4606-3336",{"name":491,"orcid":9},"Mingkai Xu",{"name":493,"orcid":494},"Yun Xu","https:\u002F\u002Forcid.org\u002F0000-0002-2442-7792",{"tldr":496,"method":497,"finding":498,"direction":83,"opportunity":499},"研究数字乡村建设对中国山区城乡收入差距的空间异质性影响及机制。","用2020年县级数据，结合泰尔指数、IV-2SLS、MGWR与中介模型。","数字乡村建设显著缩小山区城乡收入差距，效应自东向西增强，且存在地貌与维度异质性。","可深入探究不同地貌下数字乡村各维度的空间尺度差异及劳动力配置中介的微观路径。","2026-09-26T23:30:38.665617Z"]