[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3658":3,"related-3658":95},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":70,"slug":73,"view_count":61,"doi":74,"paper":75,"created_at":94},3658,"Effects of digital literacy on green production of grain family farms","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1793035","Introduction Green production is an important measure for achieving the sustainable development of grain family farms and ensuring national food security in China. Methods Based on the survey data from 335 grain family farms in Hunan Province, China, this study uses the Heckman two-stage model and mediating effect model to empirically examine the impact of digital literacy on green production of grain family farms. Results Digital literacy has a significant positive impact on green production of grain family farms. Ecological cognition plays a mediating role in the effect of digital literacy on green production. Policy incentives positively moderate the mediating effect of digital literacy on green production through ecological cognition. Discussion It is necessary to strengthen rural digital infrastructure, optimize the digital training system and supporting incentive policies, and implement targeted measures to facilitate the integration of digital literacy, ecological cognition, and green production.","引言 绿色生产是促进中国粮食家庭农场可持续发展、保障国家粮食安全的重要举措。方法 基于中国湖南省335个粮食家庭农场的调查数据，本研究采用Heckman两阶段模型和中介效应模型，实证检验了数字素养对粮食家庭农场绿色生产的影响。结果 数字素养对粮食家庭农场绿色生产具有显著正向影响。生态认知在数字素养对绿色生产的影响中起中介作用。政策激励正向调节数字素养通过生态认知对绿色生产的中介效应。讨论 应加强农村数字基础设施建设，优化数字培训体系和配套激励政策，并实施针对性措施，促进数字素养、生态认知与绿色生产的融合。",null,"Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},16,21,17,13,1,"基于湖南335个粮食家庭农场调研的实证研究，方法规范、结论明确，对数字乡村与农业绿色转型有参考价值，但属单省样本、影响范围有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字乡村","数字素养","绿色生产","粮食家庭农场","生态认知",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,52,59,65],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":51},6,true,[],[49,50],"粮食安全","food security",[],{"code":53,"score":54,"supported":46,"title":55,"abstract":56,"tags":58},"G2",3,[],[57],"家庭农场",[],{"code":60,"score":61,"supported":14,"title":62,"abstract":63,"tags":64},"I6",2,[],[],[26,27],{"code":66,"score":21,"supported":14,"title":67,"abstract":68,"tags":69},"H8",[],[],[28],[71,72],"湖南 粮食家庭农场 数字素养","数字素养 绿色生产 家庭农场","湖南粮食家庭农场数字素养-3658","10.3389\u002Ffsufs.2026.1793035",{"doi":74,"openalex_id":76,"authors":77,"venue":10,"cited_by_count":86,"oa_url":6,"card":87,"direction":91,"ingested_from":93},"W7214535116",[78,80,83],{"name":79,"orcid":9},"Wei Duan",{"name":81,"orcid":82},"Zhi Liu","https:\u002F\u002Forcid.org\u002F0000-0003-0537-4522",{"name":84,"orcid":85},"Yuehong Pan","https:\u002F\u002Forcid.org\u002F0000-0002-1142-1105",0,{"tldr":88,"method":89,"finding":90,"direction":91,"opportunity":92},"基于湖南335个粮食家庭农场调查，研究数字素养对绿色生产的影响。","Heckman两阶段模型与中介效应模型，调查数据。","数字素养显著促进绿色生产，生态认知起中介作用，政策激励正向调节。","数字乡村与农业信息化","可探究不同作物或区域下数字素养对绿色生产影响的异质性及政策组合优化。","openalex","2026-09-28T23:30:06.502136Z",{"total":45,"page":21,"page_size":45,"items":96},[97,197,268,362,429,492],{"id":98,"title":99,"url":100,"summary":101,"summary_zh":9,"content":102,"source_name":103,"source_url":9,"published_at":104,"category":105,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":107,"sources":112,"tags":114,"primary_topic":119,"secondary_topics":120,"classification":127,"search_phrases":192,"slug":195,"view_count":86,"doi":9,"paper":9,"created_at":196},5499,"辽宁省印发「十五五」县域经济高质量发展规划 建设22个单产提升整建制县","https:\u002F\u002Fwww.ln.gov.cn\u002Fweb\u002Fzwgkx\u002Fzfwj\u002Fszfbgtwj\u002F2026n\u002F2026101915441826587\u002Findex.shtml","规划要求农产品主产区县域深入实施新一轮千亿斤粮食产能提升行动，建设18个玉米单产提升整建制推进县、2个大豆与2个水稻整建制推进县。同时提出大力发展智慧农业，推广先进适用农机装备，稳步推进沿海盐碱地与辽西风沙地综合利用，构建「省级品牌+区域公用品牌+企业品牌」体系并提升特色农产品电商化率。","（十三）推进基础设施补短板。积极融入全省“六张网”建设，找准节点位置，打通基础设施“最后一公里”，提升县域安全韧性、产业要素、市场流通保障能力。融入全省水网建设格局，重点推动盘山、开原等灌区现代化改造，全面提升县域供水安全、粮食安全等保障能力，到2030年，农村自来水普及率达到98%。融入全省新型电网建设格局，重点推进康平、瓦房店等新型储能项目建设实施，提高城乡供电可靠性和防灾抗灾水平。实施县城老旧管网更新改造，统筹城乡防洪排涝，高质量推进城市更新，推进宜居县城建设，开展县城体检。健全县乡村三级物流配送体系，加强地邮协作，打造集中共配型县级客货邮综合服务中心、兼具中转和末端服务的乡镇客货邮综合服务站、“一站式”村级客货邮综合服务点，建有村级寄递物流综合服务站的建制村比例达到90%。实施新一轮农村公路提升行动，实现乡镇100%通双车道，建制村100%通等级路，农村公路铺装率达到98%。加快“双千兆”网络向农村延伸，缩小城乡数字基础设施差距，加快县城、乡镇和有条件的行政村接入网络10G-PON提质升级改造。加快建设提升一批农产品产地冷藏保鲜设施、农产品冷链仓储、农副产品批发市场，持续补齐农产品仓储物流产销等县域消费基础设施短板。\n\n（十四）加快推进基本公共服务均等化。强化中心镇和重点镇公共服务节点功能，引导公共服务直达基层末梢。落实县域普通高中振兴行动计划，到2030年，支持50所以上县域普通高中改善办学条件、提升办学质量，新建续建12所县域普通高中。根据人口变化统筹教育资源，优化农村学校布局，提高农村教育质量，加快城乡义务教育学校标准化建设。持续提升县级医院综合能力，深化紧密型县域医共体建设，提高乡镇卫生院基本医疗卫生服务水平。推进生育支持政策和激励措施落实，有效降低家庭生育养育教育成本，加强妇女和儿童健康服务。加强乡镇区域养老服务中心能力建设，探索村级邻里互助点、农村幸福院等农村互助性养老模式。深化农村移风易俗，提高社会文明程度，鼓励争创县级全国文明城市。","辽宁省人民政府 2026-10-19","2026-10-19T00:00:00Z","政策",78,{"impact":108,"substance":109,"depth":17,"authority":110,"freshness":45,"relevant":21,"comment":111},22,20,14,"省级十五五县域经济规划，含单产提升整建制县、数字基础设施与物流体系等具体条款，政策信息增量足，值得精选。",[113],{"name":103,"url":100},[26,115,116,117,118],"十五五规划","单产提升","县域经济","农村物流",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[121],{"code":122,"slug":123,"name":124,"path":125,"parent_code":126},"G4","rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",{"status":39,"locked":14,"version":40,"method":41,"evidence":128},{"candidates":129,"agricultural_evidence":46},[130,136,141,147,153,159,165,171,177,183,187],{"code":32,"score":131,"supported":46,"title":132,"abstract":133,"tags":135},15,[116],[116,134],"粮食产能",[116],{"code":122,"score":137,"supported":46,"title":138,"abstract":139,"tags":140},9,[117],[],[117],{"code":142,"score":54,"supported":46,"title":143,"abstract":144,"tags":146},"A1",[],[145],"水稻",[],{"code":148,"score":54,"supported":46,"title":149,"abstract":150,"tags":152},"A3",[],[151],"玉米",[],{"code":154,"score":54,"supported":46,"title":155,"abstract":156,"tags":158},"A4",[],[157],"大豆",[],{"code":160,"score":54,"supported":46,"title":161,"abstract":162,"tags":164},"E5",[],[163],"农产品电商",[],{"code":166,"score":54,"supported":46,"title":167,"abstract":168,"tags":170},"F5",[],[169],"农机",[],{"code":172,"score":54,"supported":46,"title":173,"abstract":174,"tags":176},"H2",[],[175],"盐碱地",[],{"code":178,"score":54,"supported":46,"title":179,"abstract":180,"tags":182},"I1",[],[181],"智慧农业",[],{"code":60,"score":21,"supported":14,"title":184,"abstract":185,"tags":186},[],[],[26],{"code":188,"score":21,"supported":14,"title":189,"abstract":190,"tags":191},"J1",[],[],[115],[193,194],"辽宁 十五五 县域经济","单产提升 整建制县","辽宁十五五县域经济-5499","2026-10-22T00:06:58.183119Z",{"id":198,"title":199,"url":200,"summary":201,"summary_zh":202,"content":9,"source_name":203,"source_url":200,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":209,"tags":211,"primary_topic":215,"secondary_topics":216,"classification":217,"search_phrases":245,"slug":248,"view_count":86,"doi":249,"paper":250,"created_at":267},5491,"Analysis of the Impact of Digital Technology on the Resilience of Anhui’s Agricultural Industry Chain: Threshold Effect of Relative Grain Yield","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010656","Improving the resilience of the agricultural industry chain to frequent external shocks and the intertwined agricultural production risks is critical for ensuring national food security and sustainable agricultural development. Taking the 16 prefecture-level cities in Anhui Province—a major grain-producing region in China—as the research sample, two composite proxy indices were constructed in this study; namely, an agricultural industry chain resilience index built upon aggregate official statistics (rather than direct observed shock-response outcomes) and an index capturing broad rural digital development instead of purely agriculture-specific digital adoption. Based on balanced panel data from 2015 to 2024, two-way fixed-effect, mediation-effect, and panel-threshold models were adopted in this study to examine the association, mediating mechanism, regional heterogeneity, and threshold characteristics conditioned on the relative grain yield. The empirical results show that the rural-oriented digital development index is significantly and robustly positively associated with our composite agricultural industry chain resilience proxy. Although agricultural TFP exhibits a statistically detectable partial mediating pattern in this correlational relationship, the economic magnitude of this indirect channel is extremely modest. As such, this finding indicates a potential theoretical transmission pathway rather than providing definitive empirical evidence for a causal mechanism. The promotion effect exhibits clear regional heterogeneity, with the strongest effect in Northern Anhui, followed by Central Anhui, while the coefficient is positive but insignificant in Southern Anhui. Furthermore, a single-threshold effect of the relative grain yield is identified; that is, the positive association between rural-oriented digital development and resilience proxy cannot be statistically detected when the grain yield remains below the threshold. Only after the agricultural grain yield increases can digital-related rural development release its resilience-related empowering dividends. We note that both composite indices are subject to measurement constraints linked to the local agricultural economic scale and broad rural digital conditions; these limitations are further discussed in the paper. This study provides empirical correlational evidence for the implementation of differentiated digital agriculture policies in major grain-producing provinces.","提升农业产业链对频繁外部冲击与交织叠加的农业生产风险的韧性，对保障国家粮食安全和农业可持续发展至关重要。本研究以中国粮食主产省安徽省的16个地级市为研究样本，构建了两个复合代理指标：一是基于官方统计数据总量（而非直接观测的冲击—响应结果）构建的农业产业链韧性指数，二是刻画农村数字化广泛发展（而非单纯农业领域数字化应用）的指数。基于2015—2024年平衡面板数据，本研究采用双向固定效应模型、中介效应模型和面板门槛模型，考察二者之间的关联、中介机制、区域异质性以及以相对粮食产量为条件变量的门槛特征。实证结果表明，农村导向的数字化发展指数与本研究的农业产业链韧性复合代理指标之间存在显著且稳健的正向关联。尽管农业全要素生产率在这一相关关系中呈现出统计上可检测的部分中介模式，但该间接渠道的经济量级极为有限。因此，这一发现指示的是一种潜在的理论传导路径，而非为因果机制提供确凿的实证证据。其促进效应表现出明显的区域异质性，皖北效应最强，皖中次之，皖南系数为正但不显著。此外，还识别出相对粮食产量的单一门槛效应，即当粮食产量低于门槛值时，农村导向的数字化发展与韧性代理指标之间的正向关联在统计上无法被检测到；只有在农业粮食产量提高之后，数字相关农村发展才能释放其韧性赋能红利。我们注意到，两个复合指数均受到与地方农业经济规模和农村数字化总体状况相关的测度约束；这些局限性在文中进一步讨论。本研究为粮食主产省实施差异化数字农业政策提供了实证相关性证据。","Sustainability","2026-10-20T00:00:00Z",74,{"impact":17,"substance":109,"depth":19,"authority":20,"freshness":207,"relevant":21,"comment":208},8,"基于安徽16市面板数据的实证研究，方法规范、结论有区域异质性价值，但属省级学术论文，公共影响有限，适合作为主题页聚合素材而非头条精选。",[210],{"name":203,"url":200},[212,26,49,213,214],"数字农业","农业产业链韧性","安徽农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":218},{"candidates":219,"agricultural_evidence":46},[220,225,230,236,241],{"code":32,"score":221,"supported":46,"title":222,"abstract":223,"tags":224},7,[],[49,50],[49],{"code":178,"score":221,"supported":46,"title":226,"abstract":227,"tags":229},[],[212,228],"digital agriculture",[212],{"code":126,"score":45,"supported":46,"title":231,"abstract":232,"tags":235},[],[233,234],"农村发展","rural development",[],{"code":188,"score":54,"supported":46,"title":237,"abstract":238,"tags":240},[],[239],"农业政策",[],{"code":60,"score":21,"supported":14,"title":242,"abstract":243,"tags":244},[],[],[26],[246,247],"安徽 农业产业链韧性 数字技术","安徽 粮食产量 数字乡村","安徽农业产业链韧性数字技术-5491","10.3390\u002Fsu182010656",{"doi":249,"openalex_id":251,"authors":252,"venue":203,"cited_by_count":86,"oa_url":200,"card":262,"direction":91,"ingested_from":93},"W7223005655",[253,256,258,260],{"name":254,"orcid":255},"Lan Ma","https:\u002F\u002Forcid.org\u002F0000-0003-2468-9917",{"name":257,"orcid":9},"Yuyan Li",{"name":259,"orcid":9},"张国亮",{"name":261,"orcid":9},"Yaoyao Li",{"tldr":263,"method":264,"finding":265,"direction":91,"opportunity":266},"以安徽16市面板数据检验农村数字发展对农业产业链韧性的影响及粮食产量门槛效应。","2015—2024年安徽16市平衡面板，双向固定效应、中介效应与面板门槛模型。","数字发展显著提升产业链韧性，存在粮食相对产量单门槛，且皖北效应最强、皖南不显著。","可细化数字技术指标、引入真实冲击响应韧性测度，并探究门槛形成机制与皖南失效原因。","2026-10-21T23:30:29.219265Z",{"id":269,"title":270,"url":271,"summary":272,"summary_zh":273,"content":9,"source_name":274,"source_url":271,"published_at":275,"category":12,"cover_url":9,"hotness":276,"is_selected":14,"score":106,"score_detail":277,"sources":281,"tags":285,"primary_topic":290,"secondary_topics":291,"classification":303,"search_phrases":344,"slug":347,"view_count":21,"doi":348,"paper":349,"created_at":361},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,{"impact":278,"substance":18,"depth":19,"authority":279,"freshness":13,"relevant":21,"comment":280},18,12,"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。",[282,283],{"name":274,"url":271},{"name":274,"url":284},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23298250",[26,286,287,288,289],"农业数字化","气候智慧农业","小农韧性","农村转型",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[292,298],{"code":293,"slug":294,"name":295,"path":296,"parent_code":297},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"code":299,"slug":300,"name":301,"path":302,"parent_code":297},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":39,"locked":14,"version":40,"method":41,"evidence":304},{"candidates":305,"agricultural_evidence":46},[306,310,315,320,326,331,335,340],{"code":32,"score":110,"supported":46,"title":307,"abstract":308,"tags":309},[50],[49,50],[],{"code":293,"score":279,"supported":46,"title":311,"abstract":313,"tags":314},[312],"climate resilience",[312],[287],{"code":178,"score":279,"supported":46,"title":316,"abstract":318,"tags":319},[317],"smart agriculture",[317],[286],{"code":299,"score":137,"supported":46,"title":321,"abstract":322,"tags":325},[],[323,324,300],"生物多样性","农业生态",[],{"code":53,"score":54,"supported":46,"title":327,"abstract":328,"tags":330},[],[329],"smallholder",[],{"code":188,"score":54,"supported":46,"title":332,"abstract":333,"tags":334},[],[239],[],{"code":336,"score":21,"supported":14,"title":337,"abstract":338,"tags":339},"I",[],[],[286],{"code":60,"score":21,"supported":14,"title":341,"abstract":342,"tags":343},[],[],[26],[345,346],"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":348,"openalex_id":350,"authors":351,"venue":274,"cited_by_count":86,"oa_url":271,"card":354,"direction":360,"ingested_from":93},"W7221462831",[352],{"name":353,"orcid":9},"Franklin N. Ellah",{"tldr":355,"method":356,"finding":357,"direction":358,"opportunity":359},"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。","农业绿色发展与碳","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":363,"title":364,"url":365,"summary":366,"summary_zh":9,"content":9,"source_name":367,"source_url":9,"published_at":368,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":369,"score_detail":370,"sources":374,"tags":376,"primary_topic":380,"secondary_topics":381,"classification":391,"search_phrases":415,"slug":418,"view_count":419,"doi":9,"paper":420,"created_at":428},4194,"数字乡村建设的代价？数字乡村战略对粮食安全和农业碳循环的非对称影响——来自中国的证据","https:\u002F\u002Fideas.repec.org\u002Fa\u002Fspr\u002Fagfoec\u002Fv14y2026i1d10.1186_s40100-026-00503-9.html","Weilong Gao、Qian Zhang、Ying Peng（吉林大学国家发展与安全研究院、大连理工大学商学院、长春工业大学经济管理学院）。发表于Agricultural and Food Economics 2026, 14(1): 1-22。基于989个县和1835户农户的多层次数据，将县级数字乡村发展指数与家庭层面数字采纳指数链接，运用固定效应和两阶段最小二乘法模型。结果显示：农村数字化与粮食产量显著正相关，与农业碳排放显著负相关，但对作物生物量碳吸收或净碳足迹无显著改善。机制分析表明生产收益与土地利用集约化（特别是双季种植扩张）相关，减排与减少劳动力和农药使用一致。异质性分析显示数字基础设施驱动生产率增长，数字治理和数字生活与减排关联更密切。","Agricultural and Food Economics 2026, 14(1)","2026-10-01T00:00:00Z",88,{"impact":108,"substance":371,"depth":372,"authority":110,"freshness":137,"relevant":21,"comment":373},24,19,"基于989县1835户的全国性实证研究，揭示数字乡村对粮食安全与农业碳循环的非对称影响，数据规模大、结论有政策参考价值，值得进入每日精选。",[375],{"name":367,"url":365},[26,377,49,378,379],"数字基础设施","农业碳排放","农户数字化",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[382,387],{"code":383,"slug":384,"name":385,"path":386,"parent_code":297},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",{"code":60,"slug":388,"name":389,"path":390,"parent_code":336},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",{"status":39,"locked":14,"version":40,"method":41,"evidence":392},{"candidates":393,"agricultural_evidence":46},[394,401,405,409],{"code":383,"score":278,"supported":46,"title":395,"abstract":397,"tags":400},[396],"农业碳",[398,396,399],"碳排放","碳足迹",[378],{"code":60,"score":20,"supported":46,"title":402,"abstract":403,"tags":404},[26],[26],[26,377],{"code":32,"score":137,"supported":46,"title":406,"abstract":407,"tags":408},[49],[],[49],{"code":410,"score":54,"supported":46,"title":411,"abstract":412,"tags":414},"F4",[],[413],"农药",[],[416,417],"数字乡村 粮食安全 农业碳循环","吉林大学 数字乡村 农户","数字乡村粮食安全农业碳循环-4194",4,{"doi":9,"openalex_id":9,"authors":421,"venue":9,"cited_by_count":86,"oa_url":9,"card":422,"direction":91,"ingested_from":427},[],{"tldr":423,"method":424,"finding":425,"direction":91,"opportunity":426},"基于中国县级与农户数据，评估数字乡村战略对粮食安全和农业碳循环的非对称影响。","989县与1835户多层次数据，固定效应和两阶段最小二乘法。","数字化提升粮食产量并减少碳排放，但未改善作物碳吸收或净碳足迹。","可探究数字乡村对碳吸收无显著影响的原因，并优化数字治理以协同减排与固碳。","agent","2026-10-05T00:04:55.880239Z",{"id":430,"title":431,"url":432,"summary":433,"summary_zh":434,"content":9,"source_name":10,"source_url":432,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":435,"sources":437,"tags":439,"primary_topic":443,"secondary_topics":444,"classification":445,"search_phrases":472,"slug":475,"view_count":54,"doi":476,"paper":477,"created_at":491},3766,"The food security dividend: how green finance-induced rural revitalisation strengthens agricultural resilience","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1708484","Introduction Green finance (GF) has become crucial for improving agricultural infrastructure in rural areas. This study aims to identify the role of GF-induced rural revitalisation in enhancing agricultural resilience (AR). At the same time, the association between food security and AR is determined, followed by the impact of education and environmental regulation on AR. Methods The quantitative data were collected from the “Food and Agriculture Organisation of the United Nations” for different Asian countries (Cambodia, China, Pakistan, Myanmar, India, Indonesia, Laos, Mongolia, Nepal, Sri Lanka, the Philippines, Thailand, Uzbekistan and Vietnam). The selected timeframe ranged from 2012 to 2022. The descriptive statistics, correlation analysis and multiple old regression models were applied to the data. Results The results obtained show that GF, environmental regulation, and education boost agricultural productivity ( p \u003C 0.05), whereas higher climate risk reduces it. GF and rural income significantly improve productivity ( p \u003C 0.05), leading to an enhancement of AR. This helps in decreasing food insecurity. Environmental regulation and education are both key drivers of better productivity. AR has generally increased over the years with some ups and downs. Moreover, GF levels differ widely between countries. However, agricultural leaders such as China, Thailand, Indonesia and India tend to have stronger AR and GF. Higher education scores are associated with better agricultural productivity and stronger environmental regulations to attain AR. Finally, productivity levels vary greatly between the selected countries. Discussion This study emphasises the integration of GF in agricultural infrastructure to enhance AR and food security.","引言 绿色金融（GF）已成为改善农村地区农业基础设施的关键。本研究旨在明确绿色金融驱动的乡村振兴在增强农业韧性（AR）中的作用。同时，确定粮食安全与农业韧性之间的关联，并进一步探讨教育和环境规制对农业韧性的影响。方法 定量数据收集自联合国粮食及农业组织，涵盖多个亚洲国家（柬埔寨、中国、巴基斯坦、缅甸、印度、印度尼西亚、老挝、蒙古、尼泊尔、斯里兰卡、菲律宾、泰国、乌兹别克斯坦和越南）。所选时间范围为2012年至2022年。对数据应用了描述性统计、相关性分析和多元旧回归模型。结果 所得结果表明，绿色金融、环境规制和教育提升了农业生产力（p \u003C 0.05），而较高的气候风险则降低了农业生产力。绿色金融和农村收入显著提高了生产力（p \u003C 0.05），从而增强了农业韧性。这有助于减少粮食不安全。环境规制和教育都是提高生产力的关键驱动因素。农业韧性总体上多年来有所提升，但伴有起伏。此外，各国绿色金融水平差异较大。然而，中国、泰国、印度尼西亚和印度等农业领先国家往往具有更强的农业韧性和绿色金融。较高的教育得分与更好的农业生产力和更强的环境规制相关联，从而实现农业韧性。最后，所选国家之间的生产力水平差异很大。讨论 本研究强调将绿色金融纳入农业基础设施，以增强农业韧性和粮食安全。",{"impact":278,"substance":18,"depth":19,"authority":20,"freshness":207,"relevant":21,"comment":436},"基于FAO多国面板数据的实证研究，揭示绿色金融通过乡村振兴提升农业韧性与粮食安全的机制，对农业信息化与农村金融政策有参考价值。",[438],{"name":10,"url":432},[26,49,440,441,442],"农业韧性","绿色金融","农村振兴",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":446},{"candidates":447,"agricultural_evidence":46},[448,452,457,463,468],{"code":32,"score":131,"supported":46,"title":449,"abstract":450,"tags":451},[50],[49,50],[49],{"code":126,"score":54,"supported":46,"title":453,"abstract":454,"tags":456},[],[455],"乡村振兴",[],{"code":458,"score":54,"supported":46,"title":459,"abstract":460,"tags":462},"G6",[],[461],"rural income",[],{"code":464,"score":21,"supported":14,"title":465,"abstract":466,"tags":467},"G3",[],[],[441],{"code":60,"score":21,"supported":14,"title":469,"abstract":470,"tags":471},[],[],[26],[473,474],"绿色金融 农业韧性 粮食安全","亚洲 农业韧性 绿色金融","绿色金融农业韧性粮食安全-3766","10.3389\u002Ffsufs.2026.1708484",{"doi":476,"openalex_id":478,"authors":479,"venue":10,"cited_by_count":86,"oa_url":432,"card":486,"direction":358,"ingested_from":93},"W7214667116",[480,482,484],{"name":481,"orcid":9},"Zixiang Zhao",{"name":483,"orcid":9},"Chengcheng Lin",{"name":485,"orcid":9},"Po-Wen Tsai",{"tldr":487,"method":488,"finding":489,"direction":358,"opportunity":490},"研究绿色金融驱动的乡村振兴如何通过提升农业生产率增强农业韧性并保障粮食安全。","基于FAO 2012-2022年14个亚洲国家面板数据，用描述统计、相关分析和多","绿色金融、环境规制与教育显著提升农业生产率和农业韧性，气候风险则降低生产率。","可深入探究绿色金融影响农业韧性的微观传导机制，并比较不同国家制度环境的调节效应。","2026-09-29T23:30:07.494934Z",{"id":493,"title":494,"url":495,"summary":496,"summary_zh":9,"content":9,"source_name":497,"source_url":9,"published_at":498,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":499,"score_detail":500,"sources":502,"tags":504,"primary_topic":508,"secondary_topics":509,"classification":510,"search_phrases":525,"slug":528,"view_count":529,"doi":9,"paper":530,"created_at":537},3449,"《涉农企业数字化转型研究综述——基于动力机制、实现路径与转型效应的分析》","https:\u002F\u002Fguoyanwang.clcn.net.cn\u002FDRCNet.Mirror.Documents.Web\u002FDocSummary.aspx?DocID=8314464&leafID=24234","湖南农业大学商学院易琬怡综述涉农企业数字化转型研究：动力机制方面研究关注外部制度压力与内部战略需求如何共同推动转型，也注意到融资约束、人才不足、管理者认知偏差等因素形成的阻力；实现路径方面研究归纳出技术应用、组织变革、商业模式创新与产业链协同等主要路径；转型效应方面研究聚焦效率提升、价值创造与粮食安全保障等维度。已有研究在理论框架构建、影响因素识别与效应评估方面取得进展，但在理论整合、中小经营主体关注、动态过程追踪等方面仍有不足。","《农村经济与科技》2026年第9期","2026-09-20T00:00:00Z",56,{"impact":207,"substance":110,"depth":131,"authority":20,"freshness":45,"relevant":21,"comment":501},"核心期刊综述，梳理涉农企业数字化转型的动力、路径与效应，有学术参考价值但非时效性资讯，适合主题聚合而非每日精选。",[503],{"name":497,"url":495},[26,505,506,507],"农业产业链","数字化转型","涉农企业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":511},{"candidates":512,"agricultural_evidence":46},[513,517,521],{"code":32,"score":54,"supported":46,"title":514,"abstract":515,"tags":516},[],[49],[],{"code":178,"score":21,"supported":14,"title":518,"abstract":519,"tags":520},[],[],[506],{"code":60,"score":21,"supported":14,"title":522,"abstract":523,"tags":524},[],[],[26],[526,527],"涉农企业 数字化转型","湖南农业大学 易琬怡 涉农企业","涉农企业数字化转型-3449",5,{"doi":9,"openalex_id":9,"authors":531,"venue":9,"cited_by_count":86,"oa_url":9,"card":532,"direction":91,"ingested_from":427},[],{"tldr":533,"method":534,"finding":535,"direction":91,"opportunity":536},"综述涉农企业数字化转型的动力机制、实现路径与转型效应，并指出研究不足。","文献综述法，梳理动力、路径与效应三方面研究。","已有研究在理论框架、影响因素与效应评估上有进展，但理论整合与动态追踪不足。","可聚焦中小涉农主体转型、动态过程追踪与理论整合，填补现有研究空白。","2026-09-25T00:09:34.790772Z"]