[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3352":3,"related-3352":56},{"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":28,"search_phrases":34,"slug":37,"view_count":38,"doi":39,"paper":40,"created_at":55},3352,"Agricultural Productivity under Climate Change and the Dynamics of Rural Economic Resilience: Adaptation Pathways from Farms to Households and Territories","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22925809","This paper examines the relationship between climate change, agricultural productivity, and rural economic resilience by integrating evidence on climatic pressures, farm-level adaptation, and broader rural transformation. Climate change affects agricultural production through rising temperatures, heat stress, rainfall variability, drought, water scarcity, soil degradation, pests, and other interacting environmental pressures. These effects are transmitted beyond crop yields through farm income, employment, food security, agricultural value chains, and the economic stability of rural territories. The paper shows that agricultural resilience depends on farmers’ capacity to adopt complementary adaptation strategies, including crop diversification, improved soil management, climate-smart agriculture, water-management technologies, climate information, agricultural insurance, and other risk-management mechanisms. At the household level, livelihood diversification, migration, entrepreneurship, access to productive assets, and institutional support can reduce dependence on climate-sensitive agricultural activities. At the territorial level, resilient agricultural value chains, market access, infrastructure, local product valorization, and non-farm employment contribute to absorbing and adapting to climatic disturbances. The analysis therefore approaches resilience as a multidimensional process connecting agricultural productivity, household adaptive capacity, food security, and rural economic transformation. The findings suggest that effective climate adaptation requires coordinated interventions combining productive, financial, institutional, social, and territorial mechanisms rather than isolated technological responses","本文通过整合气候压力、农场层面适应以及更广泛的农村转型等方面的证据，考察了气候变化、农业生产率与农村经济韧性之间的关系。气候变化通过气温上升、热应激、降雨变率、干旱、水资源短缺、土壤退化、病虫害及其他相互作用的环境压力影响农业生产。这些影响超越作物产量，经由农场收入、就业、粮食安全、农业价值链以及农村地域的经济稳定等渠道传导。本文表明，农业韧性取决于农民采取互补性适应策略的能力，包括作物多样化、改善土壤管理、气候智慧型农业、水资源管理技术、气候信息、农业保险及其他风险管理机制。在农户层面，生计多样化、迁移、创业、生产性资产获取以及制度支持能够降低对气候敏感型农业活动的依赖。在地域层面，具有韧性的农业价值链、市场准入、基础设施、本地产品增值以及非农就业有助于吸收和适应气候扰动。因此，本分析将韧性视为一个多维过程，连接农业生产率、农户适应能力、粮食安全与农村经济转型。研究结果表明，有效的气候适应需要将生产性、金融性、制度性、社会性和地域性机制相结合的协调干预，而非孤立的技术应对措施。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-23T00:00:00Z","论文",25,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,20,17,13,9,1,"系统梳理气候变化下农业生产力与农村经济韧性的多层次适应路径，结论具政策参考价值，但属综述性论文，非突破性成果。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22925808",[29,30,31,32,33],"乡村振兴","农业韧性","农业保险","气候变化","气候智慧农业",[35,36],"气候智慧农业 适应路径","农业韧性 农村经济","气候智慧农业适应路径-3352",0,"10.5281\u002Fzenodo.22925809",{"doi":39,"openalex_id":41,"authors":42,"venue":10,"cited_by_count":38,"oa_url":6,"card":47,"direction":53,"ingested_from":54},"W7214087966",[43,45],{"name":44,"orcid":9},"Naledi Ncube",{"name":46,"orcid":9},"Rudo Marashe",{"tldr":48,"method":49,"finding":50,"direction":51,"opportunity":52},"综述气候变化下农业生产力与农村经济韧性的多维适应路径。","整合气候压力、农场适应与农村转型的文献证据分析。","有效适应需生产、金融、制度、社会与区域机制协同而非单一技术。","农业绿色发展与碳","可量化农户—区域多层级适应组合的协同效应与韧性阈值。","智慧农业 \u002F 农业物联网","openalex","2026-09-24T23:30:10.179607Z",{"total":57,"page":22,"page_size":57,"items":58},6,[59,101,128,151,186,225],{"id":60,"title":61,"url":62,"summary":63,"summary_zh":64,"content":9,"source_name":65,"source_url":62,"published_at":66,"category":12,"cover_url":9,"hotness":67,"is_selected":14,"score":68,"score_detail":69,"sources":72,"tags":74,"search_phrases":78,"slug":81,"view_count":38,"doi":82,"paper":83,"created_at":100},2769,"Climate change impacts and resilience pathways in somalia through a systematic review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09538-5","Somalia is among the most climate-vulnerable countries worldwide, characterized by predominantly arid and semi-arid regions increasingly affected by recurrent droughts, irregular precipitation, rising temperatures, land degradation, and water scarcity, all of which compromise livelihoods, food security, and socio-economic stability. This study addresses the limited synthesis of recent, spatially explicit evidence on climate change impacts in Somalia by bringing together current literature and institutional reports to analyze the effects of climate change and identify adaptation and resilience strategies The review is entirely desk-based and utilizes 30 secondary data articles from reputable sources such as FAO-SWALIM, the World Bank, ICPAC, FSNAU, USAID, and peer-reviewed research articles from Scopus and web of science published from 2008 to 2025. The results showed that over 60% of Somalia’s territory is categorized as arid or hyper-arid, with the southern parts seeing the most acute soil erosion and environmental deterioration. Significant drought occurrences, especially in 2010–2011 and 2016–2017, were greatly impacted by extensive climatic factors including ENSO and the Indian Ocean Dipole. Climate variability has resulted in reduced crop yields, pasture degradation, livestock mortality, persistent water shortages, and extensive food insecurity, while inadequate governance, restricted climate financing, and deficient early-warning and monitoring systems hinder effective adaptation. The review emphasizes that climate change presents a systemic threat to Somalia’s environmental and livelihood systems, highlighting the necessity for integrated, spatially informed strategies that incorporate GIS-based environmental monitoring, sustainable land and water management, climate-smart agriculture, strengthened institutions, and enhanced access to climate finance to support long-term resilience and sustainable development.","索马里是全球最易受气候变化影响的国家之一，其国土以干旱和半干旱地区为主，日益受到反复出现的干旱、降水不规律、气温上升、土地退化及水资源短缺的影响，这些问题共同威胁着生计、粮食安全和社会经济稳定。本研究针对索马里气候变化影响近期空间明确证据综合不足的问题，汇集当前文献和机构报告，分析气候变化的影响并识别适应与韧性策略。本综述完全基于案头研究，使用了来自FAO-SWALIM、世界银行、ICPAC、FSNAU、USAID等知名来源的30篇二手数据文献，以及2008年至2025年间发表于Scopus和Web of Science的同行评审研究论文。结果表明，索马里超过60%的领土被归类为干旱或极度干旱，南部地区土壤侵蚀和环境退化最为严重。重大干旱事件，尤其是2010—2011年和2016—2017年的干旱，受到包括厄尔尼诺-南方涛动（ENSO）和印度洋偶极子（IOD）在内的广泛气候因素的显著影响。气候变率导致作物减产、牧场退化、牲畜死亡、持续的水资源短缺和大范围的粮食不安全，而治理不足、气候融资受限以及预警和监测系统薄弱则阻碍了有效适应。本综述强调，气候变化对索马里的环境和生计系统构成系统性威胁，凸显了采取综合性、空间信息化策略的必要性，这些策略应包括基于GIS的环境监测、可持续土地和水资源管理、气候智慧型农业、强化制度以及增强气候融资渠道，以支持长期韧性和可持续发展。","Discover Applied Sciences","2026-09-16T00:00:00Z",10,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":70,"relevant":22,"comment":71},8,"系统综述整合2008-2025年30篇文献，揭示索马里干旱与粮食安全影响并提出GIS监测与气候智慧农业等韧性路径，对干旱区农业信息化有参考价值。",[73],{"name":65,"url":62},[75,32,33,76,77],"粮食安全","遥感监测","干旱监测",[79,80],"气候智慧农业 干旱监测 气候变化 粮食安全","气候智慧农业 干旱监测","气候智慧农业干旱监测气候变化粮食安全-2769","10.1007\u002Fs42452-026-09538-5",{"doi":82,"openalex_id":84,"authors":85,"venue":65,"cited_by_count":38,"oa_url":62,"card":95,"direction":53,"ingested_from":54},"W7213257664",[86,88,90,93],{"name":87,"orcid":9},"Abdiaziz Hassan Nur",{"name":89,"orcid":9},"Mohamed Osman Abdulkadir",{"name":91,"orcid":92},"Omar Ali","https:\u002F\u002Forcid.org\u002F0009-0001-3009-1850",{"name":94,"orcid":9},"Ahmed Sodal Asir",{"tldr":96,"method":97,"finding":98,"direction":51,"opportunity":99},"系统综述索马里气候变化影响与韧性路径，基于30篇文献与机构报告。","文献综述，采用FAO-SWALIM、世行等2008-2025年30篇二手数据。","超60%国土干旱，干旱致减产、缺水与粮食不安全，治理与预警不足阻碍适应。","可结合GIS与遥感构建索马里干旱预警和气候智慧型农业适应决策模型。","2026-09-17T23:30:10.557669Z",{"id":102,"title":103,"url":104,"summary":105,"summary_zh":9,"content":9,"source_name":106,"source_url":9,"published_at":107,"category":108,"cover_url":9,"hotness":67,"is_selected":109,"score":110,"score_detail":111,"sources":116,"tags":118,"search_phrases":122,"slug":125,"view_count":126,"doi":9,"paper":9,"created_at":127},2548,"人民日报 2026年9月10日 02版 政策解读·问答 如何引导更多资金流向三农领域","https:\u002F\u002Fcpc.people.com.cn\u002FBIG5\u002Fn1\u002F2026\u002F0910\u002Fc64387-40795954.html","人民日报记者郁静娴、朱隽专访农业农村部有关负责人。围绕健全多元投入格局，方案从财政、债券、信贷、保险、民间投资、农村集体资产等6个方面进行部署；强化价格、补贴、保险等政策支持和协同。","人民日报 2026-09-10","2026-09-09T18:00:00Z","政策",true,88,{"impact":112,"substance":113,"depth":17,"authority":114,"freshness":57,"relevant":22,"comment":115},27,22,15,"央媒专访农业农村部负责人，系统解读财政、债券、信贷、保险、民间投资与集体资产六方面多元投入部署，政策条款与信源权威性俱佳，值得进入每日精选。",[117],{"name":106,"url":104},[29,31,119,120,121],"农村金融","三农投入","民间投资",[123,124],"三农投入 乡村振兴 农业保险 农村金融","三农投入 乡村振兴","三农投入乡村振兴农业保险农村金融-2548",3,"2026-09-16T00:03:44.736994Z",{"id":129,"title":130,"url":131,"summary":132,"summary_zh":9,"content":133,"source_name":134,"source_url":9,"published_at":135,"category":108,"cover_url":9,"hotness":67,"is_selected":109,"score":136,"score_detail":137,"sources":141,"tags":143,"search_phrases":146,"slug":149,"view_count":38,"doi":9,"paper":9,"created_at":150},2545,"六部门联合印发《坚持农业农村优先发展 完善乡村振兴投入机制实施方案》 解读","https:\u002F\u002Fjcs.moa.gov.cn\u002Fzcjd\u002F202609\u002Ft20260911_6487594.htm","农业农村部、中央农办、国家发展改革委、财政部、中国人民银行、金融监管总局联合印发。2025年全国农林水财政支出达2.35万亿元、是2012年的2.48倍，涉农贷款余额达53.57万亿元；从财政、债券、信贷、保险、民间投资、农村集体资产六个方面健全多元投入格局；到2030年基本建立与农业农村发展水平相适应的乡村振兴投入机制。","本网讯 近日，经中央深改委审议通过，农业农村部、中央农办、国家发展改革委、财政部、中国人民银行、金融监管总局联合印发《坚持农业农村优先发展、完善乡村振兴投入机制实施方案》（以下简称《方案》）。农业农村部有关负责人就《方案》进行了解读。\n\n问：请介绍一下《方案》出台的背景。\n\n答：党中央、国务院高度重视“三农”工作。2025年全国农林水财政支出达到2.35万亿元、是2012年的2.48倍，涉农贷款余额达到53.57万亿元，社会资金积极参与，带动农业农村投入规模不断扩大，多元投入格局逐步形成，为保障国家粮食安全、巩固拓展脱贫攻坚成果、促进农民持续增收、支撑经济社会发展发挥了重要作用。\n\n“十五五”时期是基本实现社会主义现代化夯实基础、全面发力的关键时期。巩固拓展脱贫攻坚成果、加快补齐农业农村现代化短板弱项、扎实推进乡村全面振兴任务艰巨。党的二十届三中全会提出，坚持农业农村优先发展，完善乡村振兴投入机制；党的二十届四中全会提出，健全财政优先保障、金融重点倾斜、社会积极参与的多元投入格局，确保乡村振兴投入力度不断增强。贯彻落实中央决策部署，农业农村部会同中央农办、国家发展改革委、财政部、中国人民银行、金融监管总局研究起草了《方案》，旨在进一步完善乡村振兴投入机制，持续提高强农惠农富农政策效能。\n\n问：《方案》的主要内容包括哪些方面？\n\n答：《方案》坚持以习近平新时代中国特色社会主义思想为指导，认真落实党的二十大和二十届历次全会精神，认真落实四中全会部署，深入贯彻习近平总书记关于“三农”工作的重要论述，完整准确全面贯彻新发展理念，坚持把解决好“三农”问题作为全党工作重中之重，坚持农业农村优先发展，健全财政优先保障、金融重点倾斜、社会积极参与的多元投入格局，确保乡村振兴投入力度不断增强，促进“三农”领域投入结构不断优化。\n\n《方案》共四部分内容。第一部分，总体要求。明确了基本思路和总体目标。第二部分，健全多元投入格局。从强化政府资金优先保障、发挥债券资金支农作用、提升信贷资金支农效能、用好保险支农政策工具、激发民间投资活力、盘活用好农村资源资产等六方面，拓宽农业农村投入渠道，推动各渠道资金形成投入合力。第三部分，强化协同联动。从促进政府投入、金融支持和民间投资协同发力，促进农业产业政策、投资政策和贸易政策协调联动，强化价格、补贴、保险等政策支持和协同等三方面，提出提高投资效益的有效举措。第四部分，健全工作责任体系。从压实工作责任、强化要素保障、优化投资环境、加强监督管理和激励约束等四方面提出保障措施，确保各项举措落实落地。\n\n问：《方案》对健全乡村振兴多元投入格局都作了哪些部署？\n\n答：《方案》从财政、债券、信贷、保险、民间投资、农村集体资产等六个方面进行了部署。\n\n一是强化政府资金优先保障。习近平总书记强调，公共财政要向“三农”倾斜，逐步解决欠账较多的问题。《方案》提出优先保障农业农村领域一般公共预算投入，优化投入结构、重点和方式，按规定落实好土地出让收入用于农业农村相关政策。加大对粮食主产区的利益补偿力度，实施粮食产销区省际横向利益补偿，完善产粮大县奖励政策，进一步提高财政补贴精准性，切实保护农民种粮和地方政府抓粮积极性。发挥现有资金渠道作用，积极支持农业农村重大基础设施建设、农村人居环境整治，深入推进乡村生态文明建设和文明乡风建设，推动农村基本具备现代生活条件。保持中央财政常态化帮扶资金规模及省市两级投入资金规模稳定。\n\n二是发挥债券资金支农作用。我国债券市场规模位居世界第二，近年来我国实施积极的财政政策，2025年安排超长期特别国债1.3万亿元、地方政府新增一般债券8000亿元、地方政府新增专项债券4.4万亿元。《方案》提出统筹用好各类债券资金，支持符合条件的乡村基础设施建设、产业发展和公共服务项目。坚持自上而下、软硬结合，高质量推动农业农村领域“两重”建设。支持各地将专项债券资金用于符合条件的农业农村项目，提高项目储备质量，更好发挥专项债券在农业农村领域强基础、补短板、惠民生的积极作用。各地可根据自身实际情况通过一般债券资金支持符合条件的农业农村项目。鼓励符合条件的公司发行乡村振兴债券。\n\n三是提升信贷资金支农效能。习近平总书记强调，要把更多金融资源配置到农村经济社会发展的重点领域和薄弱环节，更好满足乡村振兴多样化金融需求。2025年，农户贷款余额达到18.42万亿元、农林牧渔业贷款余额达到6.89万亿元。《方案》提出深入实施金融支持乡村振兴专项行动，综合运用货币政策工具，在不新增地方政府隐性债务前提下，支持金融机构为乡村振兴领域提供信贷支持。优化涉农领域信贷投向，推动各类金融机构向产粮（油）大县、制种大县、乡村振兴重点帮扶县等提供支持，重点做好粮食稳产保供、乡村振兴重要产业、农业农村基础设施、农业科技创新等领域信贷资金投放。落实好帮扶小额信贷政策，精准支持防止返贫致贫对象和需要继续帮扶的原建档立卡脱贫人口发展生产、增加收入。支持银行机构在依法合规前提下，创新并推广与农业农村需求相匹配的信贷产品，加大首贷、信用贷等产品供给和续贷政策实施力度。为符合条件的农产品经纪人、产销类农民合作社等产地流通主体提供信贷支持。完善涉农资产评估机制，探索建立确权颁证、价值评估、抵押登记、资产处置等管理制度，推广畜禽活体、农业设施等抵押融资贷款，创新发展农机装备、农产品仓单、资产经营权使用权等抵质押融资。提升农村数字金融水平，拓展信贷市场服务平台、农业经营主体信贷直通车、农业农村基础设施建设融资项目库等平台的投融资对接服务功能。\n\n四是用好保险支农政策工具。2025年，我国农业保险保费规模突破1550亿元，稳居全球第一，为1.25亿户次农户提供风险保障超5.2万亿元。《方案》提出健全多层次农业保险体系，加快农业保险高质量发展。推动关系国计民生和粮食安全农产品保险发展，用好用足稻谷、小麦、玉米、大豆完全成本保险和种植收入保险政策。支持发展地方优势特色农产品保险，稳定农户收益。支持保险机构丰富保险产品体系，扩大涉农保险产品供给，鼓励保险机构按市场化原则积极自主发展农田保险、农机保险、农村居民人身保险等，充分发挥保险服务农业全产业链建设作用。鼓励有条件的地方降低乡村振兴重点帮扶县农业保险县级保费补贴承担比例。推进农业保险精准投保理赔，鼓励保险机构参与灾害救助和应急管理体系建设，积极开展灾害预警和风险减量服务，提升承保理赔服务质效。\n\n五是激发民间投资活力。民间投资对稳就业稳经济具有重要作用，2025年第一产业民间固定资产投资规模5264亿元，占第一产业固定资产投资的55%。《方案》提出发挥好民间投资在乡村振兴中的积极作用，引导民间投资依法规范有序投入乡村振兴。按照法治化、市场化原则，综合运用贷款贴息、投债联动等方式，调动耐心资本投入农业农村的积极性。完善鼓励引导公益慈善等社会力量投入乡村振兴的举措。支持以市场化方式设立乡村振兴基金，撬动金融资本、社会力量形成投入合力。积极支持符合条件的涉农企业上市融资，助力农业科技领军企业等经营主体利用多层次资本市场加快高质量发展。\n\n六是盘活用好农村资源资产。习近平总书记强调，要建立健全集体资产各项管理制度，完善农村集体产权权能，发展壮大新型集体经济。《方案》提出健全农村基层党组织领导机制，鼓励农村集体经济组织因地制宜探索资源发包、物业出租、居间服务、经营性财产参股等路径发展新型农村集体经济，增强其自身发展能力。加快推动农村产权流转交易和融资服务平台建设应用。建立统一的脱贫攻坚国家投入形成资产登记管理台账，创新项目运营模式，促进资产有效盘活、高效利用，持续发挥联农带农作用。深化农村集体“三资”管理，指导农村集体经济组织规范投资行为，审慎选择经营方式，稳健开展经营活动。支持符合条件的涉农项目发行基础设施领域不动产投资信托基金（REITs）。鼓励各类企业与村集体通过村企合作等模式，在农村地区合理开展光伏、风能、水电、生物质能等能源项目建设和运营。\n\n问：《方案》对强化政策联动协同提出了哪些要求？\n\n答：一是促进政府投入、金融支持、民间投资协同发力。《方案》提出强化政府性融资担保体系对农业经营主体和服务主体的担保支持，加快健全各级农业融资担保平台，支持全国农业信贷担保体系发挥积极作用，为新型农业经营主体提供便捷高效优质的担保服务。完善涉农贷款风险补偿机制。鼓励通过各级政府重大项目管理平台、农业农村投融资项目库向金融机构、民间资本推送涉农项目信息。落实政府和社会资本合作（PPP）新机制，推动在乡村产业发展和公共基础设施建设中形成投入合力。\n\n二是促进农业产业政策、投资政策、贸易政策协调联动。《方案》提出建立产业政策引导、投资政策保障、贸易政策协同的联动机制，放大政策集成效应，促进消费和投资、供给和需求良性互动。加强市场信息发布和预期引导。促进农产品产供销精准衔接，优化供给端、创新流通端、激活市场端，满足多样化、品质化、差异化消费需求，引领供需结构升级。拓宽多元化投融资渠道，以发展农业新质生产力为重点，促进农业产业延链强链补链，提升农业综合生产能力和竞争力。加强“三农”投资形势分析研判。完善农产品贸易与农业生产协调机制。\n\n三是强化价格、补贴、保险等政策支持和协同。《方案》提出推动价格政策、补贴政策和保险政策“三位一体”、同向发力，稳定收益预期，增强投资动力。完善粮食等重要农产品价格形成机制，推动粮食和重要农产品价格保持在合理水平。完善稻谷、小麦最低收购价政策，保持托底功能定位，合理确定最低收购价水平。完善承包地经营权流转价格形成机制，健全农资保供稳价应对机制。完善耕地地力保护补贴政策。实施好农机购置与应用补贴政策，推进补贴机具有进有出、优机优补。强化保险在风险分担、损失补偿、融资增信等方面的作用，发挥保险机制对财政补贴资金的放大效应，助力农民增收。\n\n问：《方案》对于健全工作责任体系有哪些部署安排？\n\n答：一是压实工作责任。实行中央统筹、省负总责、市县乡抓落实的工作机制，压实地方政府乡村振兴投入责任，强化部门间沟通协作，形成工作合力。发挥规划对农业农村投资的引导和规范作用。提升金融服务乡村振兴常态化工作协调机制效能，精准做好融资辅导和金融支持。进一步做好乡村振兴投入统计工作。\n\n二是强化要素保障。坚持从实际出发，加大乡村振兴各类要素保障力度，促进各类要素资源高效配置。推动城乡要素双向流动，激励各类人才下乡服务和创业就业，大力培养乡村实用人才。严格落实乡村振兴相关土地政策，节约集约利用农村集体经营性建设用地，推动充分利用存量用地，倾斜安排新增用地指标，出台设施农业用地相关办法，分类保障乡村发展用地。优先保障农业农村项目用水、用电、用能等方面需求。\n\n三是优化投资环境。增强农业农村投资政策取向一致性和有效性，规范行政执法行为，切实保护经营主体合法权益。营造公平公正的市场环境，保障各类经营主体依法平等使用各类生产要素和公共服务资源，防止各类垄断、不正当竞争行为损害农民利益。强化服务意识，优化审批流程，细化量化服务标准，为经营主体提供便捷高效的政务服务，落实好支持农业农村发展相关税收优惠政策，抓好涉企收费长效监管机制落实落地。\n\n四是加强监督管理和激励约束。健全乡村振兴政府投资项目全生命周期监管和资金全链条监管体系，及时排查风险隐患、堵塞管理漏洞、提升监管效能，推动各类监督贯通协调，做好政策和项目信息公开，切实防范挤占挪用、骗取套取财政资金等问题。加强金融服务乡村振兴成效评估，引导金融机构更加精准服务乡村振兴。强化乡村振兴领域项目支出绩效评价，按项目类型制定不同绩效评价指标，提高绩效管理实效。完善激励约束机制，将资金项目监管、绩效管理等结果作为财政预算安排、投资规模确定、支持政策调整的重要参考。","农业农村部计划财务司 2026-09-11","2026-09-11T01:00:00Z",91,{"impact":138,"substance":139,"depth":17,"authority":114,"freshness":57,"relevant":22,"comment":140},28,24,"六部门联合印发的乡村振兴投入机制实施方案官方解读，条款与数据详实、层级高，对涉农金融与政策研究具有重要参考价值。",[142],{"name":134,"url":131},[29,31,119,144,145],"农村集体经济","多元投入",[147,148],"农村集体经济 乡村振兴 农业保险 农村金融","农村集体经济 乡村振兴","农村集体经济乡村振兴农业保险农村金融-2545","2026-09-16T00:03:44.262228Z",{"id":152,"title":153,"url":154,"summary":155,"summary_zh":156,"content":9,"source_name":157,"source_url":154,"published_at":158,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":159,"score_detail":160,"sources":164,"tags":168,"search_phrases":170,"slug":173,"view_count":38,"doi":174,"paper":175,"created_at":185},1721,"Climate-Smart Agriculture for Sustainable Food Security","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22301142","Climate change is creating serious challenges for agriculture and food security, particularly for rural and smallholder farming communities. Rising temperatures, irregular rainfall, droughts, floods, water scarcity, soil degradation and biodiversity loss can reduce agricultural productivity and affect rural livelihoods. Climate-Smart Agriculture (CSA) provides an integrated approach to address these challenges by improving agricultural productivity, strengthening resilience to climate change and promoting sustainable management of natural resources. This study examines the role of CSA in achieving sustainable food security from a global perspective. The study adopts a descriptive and analytical research design based on secondary data collected from the Food and Agriculture Organization (FAO), World Bank, Intergovernmental Panel on Climate Change (IPCC), United Nations and other published sources. The study covers the period 2019–2025 and reviews major CSA practices, including conservation agriculture, water-smart agriculture, climate-resilient crop varieties, agroforestry, integrated crop-livestock systems and digital agriculture. The findings indicate that CSA can improve agricultural productivity, farmer income, climate resilience, nutritional security and resource conservation. However, limited climate finance, high technology costs, smallholder constraints, digital inequality, weak extension services and policy gaps continue to restrict adoption. The study recommends stronger financial support, affordable technologies, improved extension services and farmer-centred policies to promote inclusive CSA and strengthen sustainable food security.","气候变化正给农业和粮食安全带来严峻挑战，尤其对农村和小农社区影响深远。气温升高、降雨不规律、干旱、洪涝、水资源短缺、土壤退化和生物多样性丧失，均可能降低农业生产力，并影响农村生计。气候智能型农业（Climate-Smart Agriculture, CSA）提供了一种综合性应对方案，通过提升农业生产力、增强对气候变化的适应能力以及促进自然资源的可持续管理，来应对上述挑战。本研究从全球视角探讨了CSA在实现可持续粮食安全中的作用。研究采用描述性与分析性相结合的研究设计，基于从联合国粮食及农业组织（FAO）、世界银行、政府间气候变化专门委员会（IPCC）、联合国及其他公开来源收集的二手数据展开分析。研究覆盖2019—2025年期间，并梳理了主要的CSA实践，包括保护性农业、节水型农业、气候适应性作物品种、农林业、种养结合系统以及数字农业。研究结果表明，CSA能够提升农业生产力、增加农民收入、增强气候韧性、改善营养安全并促进资源保护。然而，气候融资有限、技术成本高昂、小农面临诸多制约、数字鸿沟、推广服务薄弱以及政策缺口，仍持续限制着CSA的推广应用。研究建议加强资金支持、推动技术可负担化、完善推广服务并制定以农民为中心的政策，以促进包容性CSA发展，进而强化可持续粮食安全。","International Journal for Research Trends in Social Science & Humanities.","2026-09-04T00:00:00Z",66,{"impact":17,"substance":18,"depth":161,"authority":67,"freshness":162,"relevant":22,"comment":163},16,2,"全球视角综述CSA实践与挑战，数据较新，但时效性低，适合作为背景参考。",[165,166],{"name":157,"url":154},{"name":157,"url":167},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22301141",[75,30,33,169],"小农",[171,172],"气候智慧农业 农业韧性 粮食安全 小农","气候智慧农业 农业韧性","气候智慧农业农业韧性粮食安全小农-1721","10.5281\u002Fzenodo.22301142",{"doi":174,"openalex_id":176,"authors":177,"venue":157,"cited_by_count":38,"oa_url":154,"card":180,"direction":53,"ingested_from":54},"W7208735871",[178],{"name":179,"orcid":9},"N. Thilagavathi",{"tldr":181,"method":182,"finding":183,"direction":51,"opportunity":184},"综述气候智慧农业（CSA）对可持续粮食安全的作用，分析其效益与推广障碍。","基于FAO、世界银行等二手数据，采用描述性和分析性研究设计，覆盖2019-202","CSA能提升生产力、韧性、营养与资源保护，但受资金、技术、小农限制等制约。","可研究数字农业如何降低CSA技术成本，或设计针对小农的普惠金融与政策机制以促进采纳。","2026-09-05T23:30:09.026027Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":191,"content":9,"source_name":192,"source_url":189,"published_at":11,"category":12,"cover_url":9,"hotness":67,"is_selected":14,"score":193,"score_detail":194,"sources":196,"tags":198,"search_phrases":203,"slug":206,"view_count":38,"doi":207,"paper":208,"created_at":224},3353,"Integrating artificial intelligence in climate change and sustainable development: A comprehensive bibliometric review","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sftr.2026.102145","The integration of Artificial Intelligence (AI) with climate change and sustainable development (SD) studies has significant potential to enable actionable, data-driven, innovative, and long-term mitigation and adaptation strategies. However, there is a lack of a well-organized, comprehensive review of mapping that integrates AI, climate change, and the SD nexus. This study addresses this notable gap through a bibliometric review that dissects descriptive bibliometric, performance, and conceptual analyses. Utilizing the Web of Science Core Collection, 3291 publications from 2007 to 2025 were analyzed using Bibliometrix and VOSviewer software. The findings indicate a 38.29% annual publication growth rate, and original articles (80%) were the dominant publication type. The Chinese Academy of Sciences was the top contributor, and China and the USA were leaders in research output and international AI-integrated climate and SD research collaborations. Keyword analysis shows “artificial intelligence”, “climate change”, “deep learning”, “machine learning”, and “sustainability” as dominant keywords. Conceptual mapping identified four approaches: macro-level AI-driven digitalization; methodologically driven geospatial and machine-learning-based environmental monitoring; predictive modeling; and AI-driven smart agriculture applications. Thematic mapping reveals a shift from fundamental AI for climate change-focused research (2007–2013) to integrating AI with climate change and SD (2014–2019), and modeling and predicting approaches (2020–2025). Findings highlight substantial geographic asymmetries; data and research gaps persist in climate-vulnerable low-income areas. The extractivism rate for low-income countries was 41%, indicating that nearly half of their publications are led by high-income countries. Recommendations are grounded in theoretical, methodological, practical, and policy considerations, with an emphasis on SDGs 13 and 17. This study provides insights for researchers, practitioners, and policymakers to emphasize policies and technologies and implement a nexus-based framework.","人工智能（Artificial Intelligence, AI）与气候变化及可持续发展（Sustainable Development, SD）研究的融合，在推动可操作、数据驱动、创新性和长期性的减缓与适应策略方面具有巨大潜力。然而，目前缺乏对AI、气候变化与可持续发展三者交叉领域的系统化、综合性文献计量综述。本研究通过文献计量学综述填补了这一显著空白，从描述性文献计量分析、绩效分析和概念分析三个维度进行剖析。利用Web of Science核心合集，采用Bibliometrix和VOSviewer软件对2007年至2025年间的3291篇文献进行了分析。研究结果表明，年度发文增长率为38.29%，原创论文（80%）为主要文献类型。中国科学院是最大的贡献机构，中国和美国在研究产出及AI融合气候与可持续发展研究的国际合作方面处于领先地位。关键词分析显示，“人工智能”“气候变化”“深度学习”“机器学习”和“可持续性”是主导性关键词。概念图谱识别出四种研究路径：宏观层面的AI驱动数字化；方法论驱动的基于地理空间和机器学习的环境监测；预测建模；以及AI驱动的智慧农业应用。主题图谱揭示了研究重心的演变：从气候变化聚焦的基础AI研究（2007—2013年），到AI与气候变化及可持续发展的融合（2014—2019年），再到建模与预测方法（2020—2025年）。研究发现存在显著的地理不对称性；气候脆弱型低收入地区仍存在数据和研究缺口。低收入国家的提取主义率为41%，表明其近半数出版物由高收入国家主导。建议基于理论、方法论、实践和政策层面的考量，并着重关注可持续发展目标13和目标17。本研究为研究人员、实践者和政策制定者提供了洞见，以强调政策与技术的重要性，并实施基于交叉领域的框架。","Sustainable Futures",80,{"impact":17,"substance":113,"depth":17,"authority":20,"freshness":21,"relevant":22,"comment":195},"基于3291篇文献的AI与气候变化及可持续发展文献计量综述，方法规范、数据规模大，对智慧农业与农业AI研究具有参考价值。",[197],{"name":192,"url":189},[199,200,201,32,202],"智慧农业","农业人工智能","可持续发展","文献计量",[204,205],"农业人工智能 可持续发展 文献计量 智慧农业","农业人工智能 可持续发展","农业人工智能可持续发展文献计量智慧农业-3353","10.1016\u002Fj.sftr.2026.102145",{"doi":207,"openalex_id":209,"authors":210,"venue":192,"cited_by_count":38,"oa_url":189,"card":218,"direction":53,"ingested_from":54},"W7214099405",[211,214,216],{"name":212,"orcid":213},"H. B. T. P. Jayathilaka","https:\u002F\u002Forcid.org\u002F0009-0001-0589-6999",{"name":215,"orcid":9},"Shiyan Zhai",{"name":217,"orcid":9},"Yuke Feng",{"tldr":219,"method":220,"finding":221,"direction":222,"opportunity":223},"用文献计量法梳理2007-2025年AI与气候变化及可持续发展交叉研究，揭示主题演化与地域失衡。","Web of Science 3291篇文献，Bibliometrix与VOSv","年增38.29%，主题从基础AI转向建模预测，低收入国家41%论文由高收入国家主导。","农业人工智能与决策模型","可针对气候脆弱低收入地区，构建AI+智慧农业的本地化数据与决策模型，填补研究空白。","2026-09-24T23:30:10.248845Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":230,"content":9,"source_name":231,"source_url":228,"published_at":11,"category":12,"cover_url":9,"hotness":67,"is_selected":14,"score":232,"score_detail":233,"sources":236,"tags":238,"search_phrases":243,"slug":246,"view_count":38,"doi":247,"paper":248,"created_at":299},3351,"Integrated Land, Soil and Crop Information Systems in Ethiopia, Kenya, and Rwanda: Institutional Readiness and Implications for Climate-Smart Agriculture","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101776","Integrated land–soil–crop information systems are increasingly important for supporting climate-smart agricultural planning and implementation, yet their development in Eastern Africa is constrained by fragmented mandates, weak technical capacity, and limited data interoperability. This study assesses how institutional readiness, user demand, and technical and human-capacity conditions shape the integration of such systems into national Agricultural Knowledge and Innovation Systems (AKIS). A mixed-methods, multi-country assessment was conducted in Ethiopia, Kenya, and Rwanda (2022–2024), drawing on 145 semi-structured key-informant interviews, stakeholder mapping, national workshops, and a regional synthesis consultation. The analysis addressed three objectives: (i) diagnose institutional readiness and user demand; (ii) assess technical, infrastructural, and human-capacity requirements; and (iii) identify governance and design principles for embedding integrated information systems within AKIS and Climate-Smart Agriculture (CSA) strategies. The results show consistently high demand for spatially explicit soil and crop data but persistent fragmentation of mandates, uneven coordination, and substantial subnational capacity gaps. Despite these constraints, emerging digital-agriculture strategies, open-data policies, and regional soil-health initiatives provide potential entry points for integration. The study offers a comparative evidence base and design principles—covering governance, interoperability standards, co-production processes, and capacity strengthening—needed to transition from project-driven fragmentation toward interoperable and sustainable information systems. These findings provide diagnostic and design-oriented insights for national and regional efforts to strengthen agricultural information systems that support CSA implementation in Eastern Africa.","综合的土地—土壤—作物信息系统在支持气候智慧型农业规划与实施方面日益重要，但其在东非的发展受到职责分散、技术能力薄弱和数据互操作性有限的制约。本研究评估了制度准备度、用户需求以及技术和人力能力条件如何影响此类系统融入国家农业知识与创新系统（AKIS）。研究于2022—2024年在埃塞俄比亚、肯尼亚和卢旺达开展了混合方法、多国评估，基于145次半结构化关键知情人访谈、利益相关方映射、国家研讨会以及一次区域综合磋商。分析围绕三个目标展开：（i）诊断制度准备度和用户需求；（ii）评估技术、基础设施和人力能力需求；（iii）确定将综合信息系统嵌入AKIS和气候智慧型农业（CSA）战略的治理与设计原则。结果表明，对空间显式土壤和作物数据的需求持续较高，但职责分散、协调不均衡以及地方层面能力差距显著等问题长期存在。尽管存在这些制约，新兴的数字农业战略、开放数据政策和区域土壤健康倡议为整合提供了潜在切入点。本研究提供了比较性证据基础和设计原则——涵盖治理、互操作性标准、共同生产过程和能力建设——这些是从项目驱动的碎片化转向可互操作且可持续的信息系统所必需的。这些发现为国家和区域层面加强支持东非CSA实施的农业信息系统提供了诊断性和设计导向的见解。","Land",81,{"impact":17,"substance":113,"depth":17,"authority":234,"freshness":21,"relevant":22,"comment":235},14,"基于三国145位关键知情人访谈的混合方法研究，为东非农业信息系统整合与气候智慧农业提供治理与设计原则，方法扎实、结论可靠，具区域政策参考价值。",[237],{"name":231,"url":228},[239,199,240,33,241,242],"数字农业","土壤健康","农业数据","数据互操作",[244,245],"埃塞俄比亚 肯尼亚 卢旺达 农业信息系统","气候智慧农业 土壤作物数据","埃塞俄比亚肯尼亚卢旺达农业信息系统-3351","10.3390\u002Fland15101776",{"doi":247,"openalex_id":249,"authors":250,"venue":231,"cited_by_count":38,"oa_url":228,"card":293,"direction":53,"ingested_from":54},"W7214079859",[251,254,257,259,261,264,267,270,272,275,278,281,284,287,290],{"name":252,"orcid":253},"John Walker Recha","https:\u002F\u002Forcid.org\u002F0000-0002-1146-7197",{"name":255,"orcid":256},"A. Kooiman","https:\u002F\u002Forcid.org\u002F0000-0001-8208-6781",{"name":258,"orcid":9},"Thaïsa van der Woude",{"name":260,"orcid":9},"Hanneke Heesmans",{"name":262,"orcid":263},"Ermias Aynekulu","https:\u002F\u002Forcid.org\u002F0000-0002-1955-6995",{"name":265,"orcid":266},"Angela Nduta Gitau","https:\u002F\u002Forcid.org\u002F0000-0002-8963-2375",{"name":268,"orcid":269},"Pascal Debons","https:\u002F\u002Forcid.org\u002F0000-0001-6314-9935",{"name":271,"orcid":9},"Frank van Weert",{"name":273,"orcid":274},"Michael Okoti","https:\u002F\u002Forcid.org\u002F0000-0002-9550-8258",{"name":276,"orcid":277},"Elizabeth A. Okwuosa","https:\u002F\u002Forcid.org\u002F0000-0001-5941-7423",{"name":279,"orcid":280},"Kennedy Were","https:\u002F\u002Forcid.org\u002F0000-0002-8012-6812",{"name":282,"orcid":283},"Girma Mamo Diga","https:\u002F\u002Forcid.org\u002F0000-0002-2593-3187",{"name":285,"orcid":286},"Dejene Abera","https:\u002F\u002Forcid.org\u002F0000-0003-3692-8620",{"name":288,"orcid":289},"Pierre Celestin Ndayisaba","https:\u002F\u002Forcid.org\u002F0000-0002-8400-9146",{"name":291,"orcid":292},"Jules Rutebuka","https:\u002F\u002Forcid.org\u002F0000-0002-5236-3503",{"tldr":294,"method":295,"finding":296,"direction":297,"opportunity":298},"评估埃塞俄比亚、肯尼亚和卢旺达三国土地-土壤-作物综合信息系统的机构准备度与整合路径。","2022-2024年三国混合方法评估，含145个关键知情人访谈、利益相关方映射与","三国对空间化土壤作物数据需求高，但机构职责碎片化、协调不均、地方能力缺口大。","数字乡村与农业信息化","可研究开放数据政策与区域土壤健康倡议如何作为切入点，推动跨部门互操作标准与联合生产能力建设。","2026-09-24T23:30:10.120978Z"]