[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4289":3,"related-4289":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":32,"secondary_topics":38,"classification":45,"search_phrases":71,"slug":74,"view_count":75,"doi":76,"paper":77,"created_at":99},4289,"When climate risk intensifies, does insurance pay off? A community case study of China's agricultural insurance reform","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1954205","In the context of mounting global climate threats, fostering resilience in food production systems has become a critical imperative for upholding national food security. This paper exploits the staggered implementation, beginning in 2018, of China's agricultural insurance reforms covering full production costs and planting income as a quasi-natural experiment. Drawing on provincial panel data from 2013 to 2024, we first develop a multidimensional composite index to capture food production resilience. A staggered difference-in-differences specification is then adopted to systematically assess the causal effect of these reforms on such resilience and to explore the underlying transmission channels. Moreover, from a novel climate change perspective, the analysis examines the heterogeneous treatment effects across varying degrees of climate risk exposure. The empirical findings reveal that the policy-led agricultural insurance reform significantly and robustly enhances China's food production resilience. Mechanism tests indicate that advances in agricultural technology and the expansion of large-scale farming operations serve as important pathways through which the insurance policy takes effect. Further investigation shows that climate change risk positively moderates the policy impact: as climate risk intensifies, the marginal contribution of insurance to resilience becomes stronger. Heterogeneity analysis also demonstrates that the policy effect is more pronounced in western China and in localities with higher rates of disaster-induced losses. Taken together, these results offer solid empirical backing for broadening the pilot programs of full cost and planting income insurance. They also establish a theoretical basis for positioning publicly supported agricultural insurance as an effective instrument for climate change adaptation, providing valuable guidance on strengthening the climate adaptability and resilience of food production to ensure national food security.","在全球气候威胁日益加剧的背景下，增强粮食生产系统的韧性已成为维护国家粮食安全的关键任务。本文以2018年起分阶段实施的中国农业保险覆盖完全生产成本和种植收入的改革为准自然实验，基于2013—2024年省级面板数据，首先构建多维复合指数以刻画粮食生产韧性，继而采用交错双重差分模型系统评估该改革对粮食生产韧性的因果效应并探究其传导机制。此外，本文从气候变化这一新视角出发，考察了不同气候风险暴露程度下的异质性处理效应。实证结果表明，政策主导的农业保险改革显著且稳健地提升了中国粮食生产韧性。机制检验表明，农业技术进步与规模化经营扩张是保险政策发挥作用的重要路径。进一步研究发现，气候变化风险对政策效应具有正向调节作用：随着气候风险加剧，保险对韧性的边际贡献增强。异质性分析还表明，政策效应在中国西部地区以及灾害损失率较高的地区更为显著。综上，上述结果为扩大完全成本保险和种植收入保险试点提供了坚实的经验依据，也为将公共支持的农业保险定位为气候变化适应的有效工具奠定了理论基础，为增强粮食生产的气候适应性与韧性、保障国家粮食安全提供了有价值的政策启示。",null,"Frontiers in Sustainable Food Systems","2026-10-05T00:00:00Z","论文",10,false,88,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},24,23,19,14,8,1,"基于2013-2024年省级面板数据的交错DID准自然实验，证实农业保险改革显著提升粮食生产韧性且气候风险具有正向调节作用，方法规范、结论可靠，对完善农业保险试点具有政策参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","农业保险","农业政策","气候适应","生产韧性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"G3","rural-finance","农村金融与保险","\u002Ftopic\u002Frural-services\u002Frural-finance","G",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,58,64],{"code":33,"score":52,"supported":53,"title":54,"abstract":56,"tags":57},15,true,[55],"agricultural insurance",[28,55],[28],{"code":40,"score":13,"supported":53,"title":59,"abstract":60,"tags":63},[],[61,30,62],"气候变化","climate change",[30],{"code":65,"score":66,"supported":53,"title":67,"abstract":68,"tags":70},"A8",7,[],[27,69],"food security",[27],[72,73],"农业保险改革 粮食生产韧性","完全成本保险 种植收入保险","农业保险改革粮食生产韧性-4289",3,"10.3389\u002Ffsufs.2026.1954205",{"doi":76,"openalex_id":78,"authors":79,"venue":10,"cited_by_count":91,"oa_url":6,"card":92,"direction":96,"ingested_from":98},"W7220367453",[80,83,85,87,89],{"name":81,"orcid":82},"Changzhe Deng","https:\u002F\u002Forcid.org\u002F0009-0006-0852-5997",{"name":84,"orcid":9},"Maimiao Sun",{"name":86,"orcid":9},"Xueyu Lin",{"name":88,"orcid":9},"Chencan Rao",{"name":90,"orcid":9},"Qiuping Guo",0,{"tldr":93,"method":94,"finding":95,"direction":96,"opportunity":97},"基于2013-2024省级面板数据，评估中国农业保险改革对粮食生产韧性的因果影响。","多维度韧性指数+交错双重差分，利用2018年起保险改革试点作准自然实验。","保险改革显著提升粮食生产韧性，气候风险越高其边际贡献越强，西部和灾损高地区效果更明显。","农业绿色发展与碳","可探究保险改革与农业技术、规模化经营的协同机制，及气候风险下保险产品设计与精准赔付的优化路径。","openalex","2026-10-06T23:30:05.886883Z",{"total":101,"page":22,"page_size":101,"items":102},6,[103,183,250,292,373,443],{"id":104,"title":105,"url":106,"summary":107,"summary_zh":108,"content":9,"source_name":109,"source_url":106,"published_at":110,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":111,"score_detail":112,"sources":118,"tags":120,"primary_topic":123,"secondary_topics":124,"classification":130,"search_phrases":158,"slug":161,"view_count":22,"doi":162,"paper":163,"created_at":182},4983,"Climate Change and Livelihood Vulnerability among Smallholder Farming Households in the Diffa Region of Niger’s Lake Chad Basin","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjeai\u002F2026\u002Fv48i104567","Climate change affects agricultural production, on which 80% of rural communities in sub-Saharan Africa depend for their livelihoods. In the Lake Chad Basin, recent fluctuations in hydro-climatic conditions have compromised crop yields and food security, severely affecting smallholder farmers’ well-being. Enhancing their adaptive capacity and resilience is therefore essential for sustainable development. This study assesses smallholder farmers’ vulnerability to climate change-induced extreme weather events in rural areas of the Lake Chad Basin using the Livelihood Vulnerability Index (LVI). Data were collected through questionnaire surveys of 200 farming households across four villages in the Diffa region of Niger. The LVI was calculated using nine components: sociodemographic profile, education and housing, livelihood strategy, social networks, food, water resources, health, land resources, and disasters and climate variability. Results showed that farmers in Kangarwa were the most vulnerable (LVI = 0.58), while those in Boulangou were the least vulnerable (0.51). Digargo and Mamari had similar vulnerability levels (0.55 and 0.56, respectively). Overall, farmers in all four villages were moderately vulnerable. Kangarwa’s higher vulnerability was mainly associated with social networks (0.81), livelihood strategy (0.75), and land resources (0.75). In Boulangou, low vulnerability was linked to water resources (0.12) and sociodemographic conditions (0.35), although land (0.69), livelihood strategy (0.67), and food (0.65) increased vulnerability. These findings can inform interventions to strengthen smallholder farmers’ resilience. Diversifying livelihoods and adopting climate-smart agriculture technologies could enhance adaptive capacity and reduce vulnerability in highly affected areas.","气候变化影响着农业生产，而撒哈拉以南非洲80%的农村社区依赖农业维持生计。在乍得湖流域，近期水文气候条件的波动已危及作物产量和粮食安全，严重影响小农户的福祉。因此，增强其适应能力和韧性对可持续发展至关重要。本研究采用生计脆弱性指数（LVI）评估乍得湖流域农村地区小农户对气候变化引发的极端天气事件的脆弱性。数据通过对尼日尔迪法地区四个村庄200个农户的问卷调查收集。LVI基于九个组成部分计算：社会人口特征、教育与住房、生计策略、社会网络、粮食、水资源、健康、土地资源以及灾害与气候变异性。结果表明，Kangarwa的农户最为脆弱（LVI = 0.58），而Boulangou的农户脆弱性最低（0.51）。Digargo和Mamari的脆弱性水平相近（分别为0.55和0.56）。总体而言，四个村庄的农户均处于中等脆弱水平。Kangarwa较高的脆弱性主要与社会网络（0.81）、生计策略（0.75）和土地资源（0.75）相关。在Boulangou，低脆弱性与水资源（0.12）和社会人口条件（0.35）相关，尽管土地（0.69）、生计策略（0.67）和粮食（0.65）增加了脆弱性。这些发现可为增强小农户韧性的干预措施提供依据。生计多样化和采用气候智能型农业技术可增强高受影响地区的适应能力并降低脆弱性。","Journal of Experimental Agriculture International","2026-10-14T00:00:00Z",65,{"impact":21,"substance":113,"depth":114,"authority":115,"freshness":116,"relevant":22,"comment":117},20,16,12,9,"基于200户问卷的LVI实证研究，数据与结论具体，但属区域性学术成果，公共影响有限。",[119],{"name":109,"url":106},[27,121,61,30,122],"小农户","生计脆弱性",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[125],{"code":126,"slug":127,"name":128,"path":129,"parent_code":37},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",{"status":46,"locked":14,"version":47,"method":48,"evidence":131},{"candidates":132,"agricultural_evidence":53},[133,137,142,146,152],{"code":40,"score":114,"supported":53,"title":134,"abstract":135,"tags":136},[62],[61,62],[61,30],{"code":126,"score":52,"supported":53,"title":138,"abstract":140,"tags":141},[139],"smallholder",[121,139],[121],{"code":65,"score":66,"supported":53,"title":143,"abstract":144,"tags":145},[],[27,69],[27],{"code":147,"score":75,"supported":53,"title":148,"abstract":149,"tags":151},"H3",[],[150],"水资源",[],{"code":153,"score":75,"supported":53,"title":154,"abstract":155,"tags":157},"I1",[],[156],"smart agriculture",[],[159,160],"尼日尔 乍得湖流域 小农户","生计脆弱性指数 LVI","尼日尔乍得湖流域小农户-4983","10.9734\u002Fjeai\u002F2026\u002Fv48i104567",{"doi":162,"openalex_id":164,"authors":165,"venue":109,"cited_by_count":91,"oa_url":106,"card":176,"direction":181,"ingested_from":98},"W7221748179",[166,168,170,172,174],{"name":167,"orcid":9},"Issiaka Issaharou Matchi",{"name":169,"orcid":9},"I. Oumarou Abdou",{"name":171,"orcid":9},"H. Rabiou",{"name":173,"orcid":9},"A. Mahamane",{"name":175,"orcid":9},"M. Saadou",{"tldr":177,"method":178,"finding":179,"direction":96,"opportunity":180},"用生计脆弱性指数评估尼日尔迪法地区四个村庄小农户的气候变化脆弱性。","问卷调查200户农户，计算含9个成分的生计脆弱性指数（LVI）。","四村农户均呈中度脆弱，Kangarwa最脆弱（0.58），Boulangou最低（0.51）。","可结合气候智能农业技术与生计多样化，在脆弱性高发区开展干预效果评估研究。","智慧农业 \u002F 农业物联网","2026-10-15T23:30:08.248266Z",{"id":184,"title":185,"url":186,"summary":187,"summary_zh":188,"content":9,"source_name":189,"source_url":186,"published_at":190,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":191,"score_detail":192,"sources":196,"tags":198,"primary_topic":202,"secondary_topics":203,"classification":204,"search_phrases":231,"slug":234,"view_count":91,"doi":235,"paper":236,"created_at":249},4344,"Water–Energy–Food Nexus Approaches to Climate Change Adaptation in Sub-Saharan Africa: Mapping Evidence from Integrated Resource Management Practices","https:\u002F\u002Fdoi.org\u002F10.3390\u002Feconomies14100456","Climate change poses significant threats to water availability, energy security, and food production in Sub-Saharan Africa (SSA), undermining sustainable development and increasing the vulnerability of communities that are dependent on climate-sensitive resources. In response, the Water–Energy–Food (WEF) nexus has emerged as an integrated framework for addressing the interdependencies among these critical sectors while enhancing climate resilience. This study mapped and synthesized existing evidence on WEF nexus approaches to climate change adaptation in SSA through a scoping review. Guided by the Arksey and O’Malley framework and reported in accordance with the PRISMA-ScR guidelines, the review involved a systematic search of Scopus, Web of Science, ScienceDirect, SpringerLink, Wiley Online Library, Google Scholar, and relevant grey literature sources. The findings revealed a growing body of research on WEF nexus-based adaptation, with studies predominantly concentrated in Southern Africa, particularly South Africa. Major integrated resource management approaches identified include climate-smart agriculture, integrated water-resources management, renewable energy integration, nexus-based planning, governance and policy integration, and community-based adaptation. Reported outcomes include enhanced climate resilience; improved water, energy, and food security; strengthened livelihoods; increased resource-use efficiency; and improved institutional coordination. However, implementation remains constrained by fragmented governance systems, limited financing, inadequate data, technical capacity deficits, and weak stakeholder engagement. Key enabling factors include policy coherence, institutional collaboration, technological innovation, climate finance, and capacity-building. The review concludes that the WEF nexus provides a valuable framework for advancing climate adaptation and sustainable resource management in SSA.","气候变化对撒哈拉以南非洲（Sub-Saharan Africa, SSA）的水资源可用性、能源安全和粮食生产构成重大威胁，削弱了可持续发展，并加剧了依赖气候敏感型资源的社区的脆弱性。为应对这一挑战，水—能源—粮食（Water–Energy–Food, WEF）纽带关系已作为一种整合性框架出现，用于处理这些关键部门之间的相互依存关系，同时增强气候韧性。本研究通过范围综述，对撒哈拉以南非洲基于WEF纽带关系的气候变化适应方法进行了梳理和综合。综述以Arksey和O’Malley框架为指导，并按照PRISMA-ScR指南进行报告，系统检索了Scopus、Web of Science、ScienceDirect、SpringerLink、Wiley Online Library、Google Scholar及相关灰色文献来源。研究结果显示，基于WEF纽带关系的适应研究不断增多，且主要集中在南部非洲，尤其是南非。已识别的主要整合性资源管理方法包括气候智能型农业、水资源综合管理、可再生能源整合、基于纽带关系的规划、治理与政策整合以及社区为基础适应。已报告的结果包括气候韧性增强、水—能源—粮食安全改善、生计得到加强、资源利用效率提高以及制度协调改善。然而，实施仍受到治理体系碎片化、融资有限、数据不足、技术能力欠缺以及利益相关方参与薄弱等因素制约。关键使能因素包括政策一致性、机构协作、技术创新、气候融资和能力建设。综述认为，WEF纽带关系为推进撒哈拉以南非洲的气候适应和可持续资源管理提供了有价值的框架。","Economies","2026-10-06T00:00:00Z",70,{"impact":115,"substance":113,"depth":193,"authority":194,"freshness":21,"relevant":22,"comment":195},17,13,"该综述系统梳理了撒哈拉以南非洲水-能-粮关联适应气候变化的证据，方法规范、结论可靠，但属区域性研究，对国内三农信息化直接参考价值有限，可作国际视野补充。",[197],{"name":189,"url":186},[199,27,30,200,201],"撒哈拉以南非洲","水资源管理","可再生能源",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":205},{"candidates":206,"agricultural_evidence":53},[207,213,217,222,226],{"code":40,"score":208,"supported":53,"title":209,"abstract":210,"tags":212},18,[62],[61,30,62,211],"climate resilience",[30],{"code":65,"score":66,"supported":53,"title":214,"abstract":215,"tags":216},[],[27,69],[27],{"code":147,"score":218,"supported":53,"title":219,"abstract":220,"tags":221},4,[],[150],[200],{"code":153,"score":75,"supported":53,"title":223,"abstract":224,"tags":225},[],[156],[],{"code":227,"score":22,"supported":14,"title":228,"abstract":229,"tags":230},"J3",[],[],[199],[232,233],"水-能-粮 关联 气候适应","撒哈拉以南非洲 可再生能源 水资源管理 气候适应","水-能-粮关联气候适应-4344","10.3390\u002Feconomies14100456",{"doi":235,"openalex_id":237,"authors":238,"venue":189,"cited_by_count":91,"oa_url":186,"card":244,"direction":181,"ingested_from":98},"W7220736064",[239,242],{"name":240,"orcid":241},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":243,"orcid":9},"Deborah Olude",{"tldr":245,"method":246,"finding":247,"direction":96,"opportunity":248},"综述撒哈拉以南非洲水-能-粮纽带应对气候变化的证据与实践路径。","基于Arksey与O'Malley框架和PRISMA-ScR的范围综述，检索七大","研究集中于南部非洲，主要路径含气候智慧型农业与综合水资源管理，但受治理碎片化与资金数据不足制约。","可探索数据驱动型WEF纽带决策模型与跨部门治理评估工具在非洲小农户场景的落地研究。","2026-10-07T23:30:09.089887Z",{"id":251,"title":252,"url":253,"summary":254,"summary_zh":9,"content":255,"source_name":256,"source_url":9,"published_at":257,"category":258,"cover_url":9,"hotness":13,"is_selected":53,"score":259,"score_detail":260,"sources":263,"tags":265,"primary_topic":269,"secondary_topics":270,"classification":271,"search_phrases":287,"slug":290,"view_count":22,"doi":9,"paper":9,"created_at":291},4249,"四部门联合印发加快农业保险高质量发展实施方案","https:\u002F\u002Fwww.fengxin.gov.cn\u002Ffxxrmzf\u002Fzfcgxgxx\u002Fpc\u002Fcontent\u002F2104516031187619840\u002Fcontent_2104516031187619840.html","财政部会同农业农村部、金融监管总局、国家林草局联合印发财金〔2026〕88号《关于加快农业保险高质量发展的实施方案》，是我国农业保险近二十年发展经验的提炼。我国农业保险保费规模从2007年52亿元增长到2025年超1550亿元，每年可为上亿户次农户提供风险保障超5万亿元。","为推动农业保险政策更加普惠、区域发展更加均衡、保障质效持续提升，本次《实施方案》明确了下一阶段发展目标：到2030年，基本建成与农户风险保障需求相契合、与现代农业发展相适应、中央与地方分工负责的多层次农业保险体系，总体达到国际先进水平，实现补贴有效率、产业有保障、农民得实惠、机构可持续的多赢格局。\n\n2019年出台的指导性文件提出了到2022年农业保险深度1%、密度500元\u002F人、三大粮食作物保险覆盖率70%以上等阶段性目标。在此基础上，《实施方案》进一步明确如下发展目标：一是“农业保险深度”，即农业保险保费与第一产业增加值的比值，反映农业保险对农村经济发展的贡献，2030年前达到1.9%。二是“农业保险密度”，即农业保险保费与第一产业就业人员数量的比值，反映农业保险人均惠及保障程度，2030年前达到1200元\u002F人。三是“农业保险科技投入强度”，即农业保险机构科技创新投入与农业保险保费的比值，反映农业保险行业科技创新应用水平，2030年前达到1%。其中，农业保险科技创新投入主要包括农业保险科技工作人员支出、科技服务费用、科技类无形资产和固定资产等项目。四是“三大粮食作物保险覆盖率”，对于关系国计民生和粮食安全的三大粮食作物，全国范围内农业保险覆盖率稳定在90%左右，各省份结合实际制定相关目标。同时，提升地方优势特色农业保险对特色农业产业的保障水平，更好发挥富农强农作用。五是“农业保险综合费用率”，强调不得高于20%，引导农业保险承保机构切实降本增效，将更多资源用于风险保障和理赔服务上。","奉新县人民政府 转载财政部金融司 2026-10-01","2026-10-01T01:00:00Z","政策",92,{"impact":261,"substance":17,"depth":19,"authority":52,"freshness":101,"relevant":22,"comment":262},28,"四部门联合印发的全国性农业保险新政，明确2030年保险深度1.9%、密度1200元\u002F人等量化目标，政策条款与数据增量突出，权威性和专业深度俱佳，值得进入每日精选。",[264],{"name":256,"url":253},[27,266,28,267,268],"惠农政策","农业科技投入","风险保障",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":272},{"candidates":273,"agricultural_evidence":53},[274,278,282],{"code":33,"score":115,"supported":53,"title":275,"abstract":276,"tags":277},[28],[28],[28],{"code":65,"score":22,"supported":14,"title":279,"abstract":280,"tags":281},[],[],[27],{"code":283,"score":22,"supported":14,"title":284,"abstract":285,"tags":286},"J2",[],[],[267],[288,289],"三大粮食作物保险覆盖率 90%","农业科技投入 农业保险 惠农政策 粮食安全","三大粮食作物保险覆盖率90%-4249","2026-10-06T00:04:59.342384Z",{"id":293,"title":294,"url":295,"summary":296,"summary_zh":297,"content":9,"source_name":10,"source_url":295,"published_at":298,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":299,"score_detail":300,"sources":303,"tags":305,"primary_topic":309,"secondary_topics":310,"classification":311,"search_phrases":346,"slug":349,"view_count":218,"doi":350,"paper":351,"created_at":372},3150,"Climate extremes and grain green productivity in China: buffering effects of agricultural insurance and high-standard farmland","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1918373","Extreme climate shocks are increasingly reshaping the sustainability, resilience, and environmental performance of grain production systems, particularly in countries facing the dual challenge of safeguarding food security and accelerating agricultural green transformation. This study investigates how extreme climate risk affects grain green total factor productivity (GGTFP) in China and whether adaptation-oriented policy instruments can mitigate these adverse effects. Using provincial panel data for 31 Chinese regions from 2001 to 2023, we measure GGTFP with a Super-SBM Global Malmquist–Luenberger index that incorporates grain output as the desirable output and carbon emissions and agricultural non-point source pollution as undesirable outputs. We further construct a composite extreme climate risk index based on four types of extreme events: extreme low temperature, extreme high temperature, extreme rainfall, and extreme drought. Econometric estimates show that China’s GGTFP increased by an average of 1.7% annually during the study period, mainly driven by green technological progress. However, extreme climate risk exhibited an overall upward trend and significantly inhibited GGTFP. Among different climate hazards, extreme rainfall and extreme drought had stronger negative effects than extreme temperature events, suggesting that water-related climate shocks are particularly detrimental to green grain production. The adverse impact of extreme climate risk was more pronounced in high-relief regions and non-major grain-producing areas, revealing substantial spatial heterogeneity in climate vulnerability. Further analysis indicates that agricultural insurance and high-standard farmland development both significantly attenuate the negative effect of extreme climate risk on GGTFP, with interaction coefficients of 0.040 and 0.037, respectively. These findings suggest that risk-sharing mechanisms and climate-resilient farmland infrastructure can help stabilize green productivity under increasing climate uncertainty. This study provides empirical evidence on the green productivity consequences of multi-hazard climate risks and highlights the importance of integrating agricultural insurance, farmland infrastructure improvement, food security, and environmental protection into climate-resilient agricultural development strategies.","极端气候冲击正日益重塑粮食生产系统的可持续性、韧性与环境绩效，对于同时面临保障粮食安全和推进农业绿色转型双重挑战的国家而言尤为如此。本研究考察极端气候风险如何影响中国粮食绿色全要素生产率（GGTFP），以及适应性政策工具能否缓解这些不利影响。基于2001—2023年中国31个地区的省级面板数据，我们采用Super-SBM Global Malmquist–Luenberger指数测算GGTFP，该指数将粮食产出作为期望产出，将碳排放和农业面源污染作为非期望产出。我们进一步基于四类极端事件——极端低温、极端高温、极端降雨和极端干旱——构建了综合极端气候风险指数。计量估计表明，研究期间中国GGTFP年均增长1.7%，主要由绿色技术进步驱动。然而，极端气候风险总体呈上升趋势，并显著抑制了GGTFP。在不同气候灾害中，极端降雨和极端干旱的负面影响强于极端温度事件，表明与水相关的气候冲击对绿色粮食生产尤为不利。极端气候风险的不利影响在地形起伏较大的地区和非粮食主产区更为显著，揭示了气候脆弱性存在显著的空间异质性。进一步分析表明，农业保险和高标准农田建设均显著减弱了极端气候风险对GGTFP的负面影响，交互项系数分别为0.040和0.037。这些发现表明，风险分担机制和气候韧性农田基础设施有助于在气候不确定性加剧的背景下稳定绿色生产率。本研究为多灾种气候风险的绿色生产率后果提供了经验证据，并凸显了将农业保险、农田基础设施改善、粮食安全和环境保护纳入气候韧性农业发展战略的重要性。","2026-09-21T00:00:00Z",86,{"impact":301,"substance":18,"depth":208,"authority":20,"freshness":116,"relevant":22,"comment":302},22,"基于31省2001-2023年面板数据的实证研究，量化极端气候对粮食绿色全要素生产率的抑制效应并验证农业保险与高标准农田的缓冲作用，结论可靠且政策含义明确，值得进入每日精选。",[304],{"name":10,"url":295},[306,27,28,307,308],"高标准农田","绿色生产力","极端气候",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":312},{"candidates":313,"agricultural_evidence":53},[314,318,322,328,334,340],{"code":33,"score":52,"supported":53,"title":315,"abstract":316,"tags":317},[55],[28,55],[28],{"code":65,"score":66,"supported":53,"title":319,"abstract":320,"tags":321},[],[27,69],[27],{"code":323,"score":66,"supported":53,"title":324,"abstract":325,"tags":327},"H1",[],[306,326],"农田建设",[306],{"code":40,"score":101,"supported":53,"title":329,"abstract":330,"tags":333},[],[331,332],"干旱","drought",[],{"code":335,"score":75,"supported":53,"title":336,"abstract":337,"tags":339},"H4",[],[338],"碳排放",[],{"code":341,"score":75,"supported":53,"title":342,"abstract":343,"tags":345},"H5",[],[344],"面源污染",[],[347,348],"极端气候 粮食绿色生产率","农业保险 高标准农田 气候适应","极端气候粮食绿色生产率-3150","10.3389\u002Ffsufs.2026.1918373",{"doi":350,"openalex_id":352,"authors":353,"venue":10,"cited_by_count":91,"oa_url":295,"card":367,"direction":96,"ingested_from":98},"W7213938600",[354,357,360,362,365],{"name":355,"orcid":356},"Bin Zheng","https:\u002F\u002Forcid.org\u002F0000-0002-9984-4136",{"name":358,"orcid":359},"Shuai Hao","https:\u002F\u002Forcid.org\u002F0000-0001-7856-0495",{"name":361,"orcid":9},"Junye Zhao",{"name":363,"orcid":364},"Liping Liu","https:\u002F\u002Forcid.org\u002F0000-0001-5729-4984",{"name":366,"orcid":9},"Qian Nie",{"tldr":368,"method":369,"finding":370,"direction":96,"opportunity":371},"研究极端气候风险对中国粮食绿色全要素生产率的影响及农业保险与高标准农田的缓冲作用。","2001-2023年31省面板数据，Super-SBM GML指数测度GGTFP","极端气候风险显著抑制GGTFP，降雨与干旱影响更强；农业保险和高标准农田均显著缓解该负面效应。","可探究农业保险与高标准农田的协同缓冲机制，及其在不同气候风险类型和区域间的异质性优化配置。","2026-09-22T23:30:08.637590Z",{"id":374,"title":375,"url":376,"summary":377,"summary_zh":378,"content":9,"source_name":379,"source_url":376,"published_at":380,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":381,"score_detail":382,"sources":384,"tags":386,"primary_topic":390,"secondary_topics":395,"classification":397,"search_phrases":424,"slug":427,"view_count":428,"doi":429,"paper":430,"created_at":442},2939,"Climate Change and Food Security in Africa: Harnessing Responsible AI for Sustainable Agricultural Transformation","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijaes.vol.11.no9.2025.pg79.102","Africa stands at the crossroads of two defining 21st-century challenges: climate change and food insecurity. The continents agricultural systems are increasingly disrupted by rising temperatures, erratic rainfall, and extreme weather events, exacerbating hunger, poverty, and rural vulnerability. At the same time, Artificial Intelligence (AI) presents transformative potential to support climate adaptation, improve agricultural resilience, and enhance food systems governance across Africa. This study undertakes a qualitative content analysis and critical synthesis of 25 peer-reviewed articles, institutional reports, and working papers to examine how AI is currently applied and could be more effectively leveraged for climate-resilient agriculture and food security on the continent. Findings reveal a growing body of innovations, from AIdriven weather forecasting and early warning systems to precision agriculture and supply chain optimization. Yet the study identifies persistent structural limitations, including unreliable data infrastructure, low digital capacity in rural areas, and governance gaps around ethical deployment, data ownership, and equitable access. Through African case studies, the paper explores how localized AI solutions when supported by inclusive policies, multi-stakeholder collaboration, and responsible innovation frameworks can mitigate climate-induced food shocks and drive sustainable development. The paper argues for a strategic alignment between AI deployment and national adaptation plans, emphasizing the need for stronger public-private partnerships, investments in AI-ready infrastructure, and the development of ethical and contextsensitive governance mechanisms. In doing so, it offers a roadmap for policymakers, development agencies, and researchers seeking to harness AI not just as a technological tool, but as a catalyst for systemic transformation in African food systems in the era of climate change.","非洲正处在21世纪两大决定性挑战的交汇点：气候变化与粮食不安全。随着气温上升、降雨异常和极端天气事件频发，非洲大陆的农业系统日益受到扰乱，饥饿、贫困和农村脆弱性问题不断加剧。与此同时，人工智能（AI）展现出变革性潜力，可支持非洲的气候适应、提升农业韧性并改善粮食系统治理。本研究对25篇同行评审论文、机构报告和工作论文进行了定性内容分析与批判性综合，考察AI当前在非洲大陆的应用方式，以及如何更有效地将其用于气候韧性农业和粮食安全。研究发现，相关创新不断涌现，涵盖AI驱动的天气预报和预警系统、精准农业以及供应链优化等领域。然而，研究也识别出持续存在的结构性制约，包括数据基础设施不可靠、农村地区数字能力薄弱，以及围绕伦理部署、数据所有权和公平获取的治理缺口。通过非洲案例研究，本文探讨了在包容性政策、多利益相关方协作和负责任创新框架支持下，本地化的AI解决方案如何能够缓解气候引发的粮食冲击并推动可持续发展。本文主张将AI部署与国家适应计划进行战略对接，强调需要加强公私伙伴关系、投资于AI就绪型基础设施，并建立合乎伦理且情境敏感的治理机制。由此，本文为政策制定者、发展机构和研究人员提供了一份路线图，旨在气候变化时代将AI不仅作为技术工具，更作为非洲粮食系统系统性转型的催化剂加以利用。","INTERNATIONAL JOURNAL OF AGRICULTURE AND EARTH SCIENCE","2026-09-16T00:00:00Z",76,{"impact":208,"substance":113,"depth":193,"authority":194,"freshness":21,"relevant":22,"comment":383},"系统综述25篇文献，梳理AI在非洲气候韧性农业中的应用与治理缺口，对农业信息化有参考价值，但属境外区域研究，公共影响有限。",[385],{"name":379,"url":376},[387,388,27,389,30],"智慧农业","农业人工智能","非洲农业",{"code":65,"slug":391,"name":392,"path":393,"parent_code":394},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[396],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":398},{"candidates":399,"agricultural_evidence":53},[400,404,408,414,420],{"code":40,"score":208,"supported":53,"title":401,"abstract":402,"tags":403},[62],[61,30,62],[30],{"code":65,"score":52,"supported":53,"title":405,"abstract":406,"tags":407},[69],[27,69],[27],{"code":153,"score":66,"supported":53,"title":409,"abstract":410,"tags":413},[],[411,412],"精准农业","precision agriculture",[387],{"code":415,"score":218,"supported":53,"title":416,"abstract":417,"tags":419},"I2",[],[418],"artificial intelligence",[388],{"code":227,"score":22,"supported":14,"title":421,"abstract":422,"tags":423},[],[],[389],[425,426],"非洲 农业人工智能 粮食安全","AI 气候韧性农业 非洲","非洲农业人工智能粮食安全-2939",5,"10.56201\u002Fijaes.vol.11.no9.2025.pg79.102",{"doi":429,"openalex_id":431,"authors":432,"venue":379,"cited_by_count":91,"oa_url":435,"card":436,"direction":181,"ingested_from":98},"W7213462904",[433],{"name":434,"orcid":9},"Izuchukwu Adamaagashi","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJAES\u002FVOL. 11 NO. 9 2025\u002FClimate Change and Food Security 79-102.pdf",{"tldr":437,"method":438,"finding":439,"direction":440,"opportunity":441},"通过定性分析25篇文献，探讨如何负责任地利用AI推动非洲气候适应型农业与粮食安全。","对25篇同行评议论文、机构报告和工作论文进行定性内容分析与批判性综合。","AI在天气预报、精准农业等方面有创新，但面临数据基础设施差、农村数字能力低和治理缺口等结构性限制。","农业人工智能与决策模型","可研究非洲本地化AI解决方案的伦理治理框架与公私合作模式，填补数据所有权和公平获取的研究空白。","2026-09-19T23:30:19.482449Z",{"id":444,"title":445,"url":446,"summary":447,"summary_zh":9,"content":448,"source_name":449,"source_url":9,"published_at":450,"category":258,"cover_url":9,"hotness":13,"is_selected":53,"score":259,"score_detail":451,"sources":453,"tags":455,"primary_topic":460,"secondary_topics":461,"classification":462,"search_phrases":495,"slug":498,"view_count":428,"doi":9,"paper":9,"created_at":499},2694,"加快农业保险高质量发展实施方案印发——2030年保险深度1.9%、密度1200元\u002F人","https:\u002F\u002Fjcs.moa.gov.cn\u002Fgzdt\u002F202609\u002Ft20260915_6487691.htm","财政部、农业农村部、金融监管总局、国家林草局联合印发《关于加快农业保险高质量发展的实施方案》,到2030年农业保险深度达到1.9%、密度达到1200元\u002F人、科技投入强度达到1%,稻谷、小麦、玉米三大粮食作物覆盖率稳定在90%左右,综合费用率不高于20%。","各省、自治区、直辖市人民政府，新疆生产建设兵团，国务院有关部委、有关直属机构：\n\n经国务院同意，现将《关于加快农业保险高质量发展的实施方案》印发给你们，请抓好贯彻落实。\n\n财政部 农业农村部\n\n金融监管总局 国家林草局\n\n2026 年 9 月 8 日\n\n**关于加快农业保险高质量发展的实施方案**\n\n为进一步加快农业保险高质量发展，稳定农户收益，服务保障国家粮食安全和农业生产能力，经国务院同意，制定本实施方案。\n\n一、总体要求\n\n坚持以习近平新时代中国特色社会主义思想为指导，深入贯彻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，全面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，加快构建新发展格局，着力推动高质量发展，遵循政府引导、市场运作、自主自愿、协同推进、改革创新的原则，充分发挥农业保险在价格、补贴、保险“三位一体”农业支持政策体系中的重要一环作用。\n\n到 2030 年，基本建成与农户风险保障需求相契合、与现代农业发展相适应、中央与地方分工负责的多层次农业保险体系，总体达到国际先进水平，实现补贴有效率、产业有保障、农民得实惠、机构可持续的多赢格局，政策更加普惠，发展更加均衡。农业保险深度（保费\u002F第一产业增加值）达到 1.9%，农业保险密度（保费\u002F第一产业就业人数）达到 1200 元\u002F人，农业保险科技投入强度（农业保险机构科技创新投入\u002F保费）达到 1%。稻谷、小麦、玉米三大粮食作物农业保险覆盖率稳定在 90%左右，提升特色农业保险对特色农业产业的保障水平，更好发挥富农强农作用。农业保险综合费用率不高于 20%。\n\n二、聚焦农业保险发展重点\n\n**（一）健全多层次农业保险体系。**坚持中央与地方共同推动、各部门分工负责，构建复合、多元、多层次的农业保险体系。加强对关系国计民生和粮食安全的大宗农产品以及地方特色农业的保障，稳步推进物化成本保险、完全成本保险、收入保险等险种发展，加强对小农户和农民合作社、家庭农场等新型农业经营主体的保障，强化对防止返贫致贫对象的支持。建立健全投保人、直保端、再保端等多方参与的风险分散链条，发挥好大灾风险准备金作用。\n\n**（二）增强种植业农产品风险保障。**加强主粮、棉花、油料、糖料、橡胶等大宗农产品风险保障，提高区域间农业保险发展均衡性，完善省以下保费分担机制。逐步降低产粮大县农业保险县级保费补贴承担比例，推动扩大稻谷、小麦、玉米、大豆完全成本保险和种植收入保险投保面积。完善对马铃薯、油菜、花生、甜菜、青稞等农产品以及稻谷、小麦、玉米制种的保险支持保障。\n\n**（三）促进养殖业保险规范发展。**完善养殖企业和养殖场（户）养殖保险模式，采用电子耳标、生物识别等技术加强养殖数量监控。动态调整能繁母猪、育肥猪、奶牛等养殖业保险保障水平，鼓励根据不同养殖方式提供差异化风险保障方案。做好牦牛、藏系羊等涉藏特定品种保险支持保障。\n\n**（四）推动林草保险提质增效。**坚持预防与保障并重，与现代林草业发展相适应，推动构建林草综合保险体系。完善公益林保险和商品林保险政策，探索适合相关林业保险险种特点的承保理赔模式。保险机构要合理确定森林保险防灾减损费用计提比例，据实列支。鼓励保险机构开展草原、湿地、国家公园、碳汇等保险试点，丰富林草保险产品。\n\n**（五）支持地方特色发展。**鼓励各地结合实际制定特色农业保险发展政策，加强相关资金统筹，加大支持力度，扩大保险范围，积极发展蔬菜、水果、肉牛、肉羊、禽类、渔业、林下经济等特色农业保险。\n\n**（六）完善产品供给体系。**健全“政策险+商业险”、“基本险+补充险”的农业保险产品供给体系。鼓励各地结合实际在物化成本保险等提供基本保险保障的险种基础上，设计开发相关补充保险，形成更高保障。鼓励各地因地制宜发展农业气象指数保险。支持保险机构发展商业性农业保险，开发便利农户投保的综合型保险保障方案。\n\n**（七）推广“农业保险+”模式。**深化农业保险与信贷、担保、期货等金融工具协同，探索保单质押、联合分担风险等模式。发挥农业保险增信功能，提高投保农户信用等级，促进涉农数据、科技、资产等要素资源融合，引导加大金融资源投入。\n\n**（八）逐步拓宽服务领域。**鼓励保险机构根据农业发展需要以市场化方式提供覆盖农林牧渔、涉农产业上下游、农民人身安全等方面风险的保险产品，探索开展农产品加工、仓储、运输、质量保险及高标准农田工程质量保险，为农业对外合作提供保险服务。鼓励地方和保险机构提供大棚、农房、农机、仓库等农业生产设施设备保险，以及农业绿色发展、智慧农业、民族村寨等领域保险。\n\n三、优化农业保险运行机制\n\n**（九）优化完善承保管理。**财政、发展改革、农业农村、保险监管、林业草原等部门及保险机构加强信息互通，共享农（林）地确权、流转、目标价格补贴面积以及农产品成本调查、畜禽存出栏量、病死猪无害化处理等农业生产经营数据。逐步推行“一户一单”承保模式。保险监管部门指导保险机构制定农业保险精准承保规范，提升可操作性。保险机构应加强农业保险承保精准性管理，开展验标和承保信息审核，集体投保类业务逐步提高抽查验标比例，规模经营主体投保类业务实现全部验标。\n\n**（十）加强财政补贴管理。**强化保费补贴资金管理，加强补贴资金所涉投保信息与农业生产经营数据、历史投保数据的比对核验，提高财政资金使用效益。及时向保险机构拨付保费补贴资金，优化资金拨付方式。鼓励各地实行省级财政部门与保险机构省级分公司“省级对省级”结算等模式。\n\n**（十一）完善查勘定损制度。**农业农村、保险监管、林业草原等部门结合当地种植、养殖、林业生产实际，指导保险机构制定分类或分险种查勘定损操作规范，明确查勘、抽样、定损等工作流程和标准。农业农村、林业草原等部门配合做好灾后查勘和灾损核定工作。\n\n**（十二）提升理赔服务质效。**保险监管部门指导保险机构制定完善农业保险理赔实施规范，提升理赔效率和精准度。保险机构应完善基层服务网络，简化手续、优化流程、赔款到户，建立农业大灾快速理赔响应机制，针对重大自然灾害和事故合理预付部分赔偿金，支持农户恢复生产。保险机构应通过银行转账等非现金方式将保险赔款直接支付给被保险人。\n\n**（十三）鼓励开展风险减量管理。**健全风险减量管理机制，增强事前防灾减灾、事中救灾减损、事后及时赔付相结合的一体化服务能力，推动农业保险从单一事后理赔向全流程风险管理转型。保险机构可与农业农村、林业草原、气象等领域社会化服务机构合作，开展防灾减损工作。\n\n**（十四）健全监督管理机制。**健全农业保险领域常态化监督机制，财政、农业农村、保险监管、林业草原等部门加强联动，加大监督力度。对虚构虚增保险标的、虚假理赔、骗取套取保费补贴等违法违规行为，加大打击和惩戒力度，依法依规予以处理。\n\n四、夯实农业保险发展基础\n\n**（十五）强化信息化支撑。**持续推进全国农业保险数据信息系统、全国农业保险信息管理平台建设。统一农业保险数据标准，加强部门间、中央与地方间农业保险数据信息共享。加快推动农业保险行业数字化转型，促进业务流程智能化、标准化。\n\n**（十六）推进风险区划工作。**推进三大粮食作物、主要畜产品等重要农产品保险风险区划工作，适时发布风险区划结果和保险费率参考。探索开展地方特色农业保险风险区划工作。\n\n**（十七）加强科技应用。**保险机构应加大科技投入强度，合理应用无人机、遥感、物联网、人工智能、区块链、云计算等技术工具，提高保险服务精准度。鼓励保险机构探索开发农业灾害风险模型。制定农业保险科技应用规范或标准。保险机构应开展承保理赔信息实名校验和身份认证。\n\n**（十八）加强遴选管理。**按照适度竞争原则，结合服务能力、风控能力合理确定农业保险承保机构。各省份根据保费规模等因素统筹确定承保机构数量，承保机构一经确定应保持相对稳定，服务有效期一般不少于 3 年。开展承保机构绩效评价，强化绩效评价结果应用，做好承保机构动态调整工作。审慎评估农业保险市场环境和保险机构服务能力，加强经营资格管理，优化准入退出机制。\n\n**（十九）健全政策法规。**适应农业保险发展态势和高质量发展需要，推动适时修订《农业保险条例》，进一步加强农业保险法治建设。\n\n五、健全农业保险大灾风险分散机制\n\n**（二十）完善大灾风险准备金管理。**科学设置农业保险各险种大灾风险准备金计提比例，完善大灾风险准备金触发使用标准。保险机构按照独立运作、因地制宜、分级管理、统筹使用的原则，加强大灾风险准备金使用规范性管理，进一步发挥大灾风险准备金作用。\n\n**（二十一）大力发展农业再保险。**按照约定分保和市场化分保相结合的发展模式，健全农业再保险制度。完善约定分保机制和流程，优化大灾超赔保障。鼓励发展商业性再保险，逐步提高市场化业务比重。推动完善农业再保险机构治理机制，提高运行规范性和发展可持续性。\n\n**（二十二）健全风险分散机制。**研究建立农业保险大灾风险基金，完善农业保险大灾风险分散链条。加强农业保险赔付资金与政府救灾资金协同运用。\n\n六、做好组织实施工作\n\n各地区、各有关部门要高度重视农业保险工作，夯实工作基础，形成工作合力，更好满足“三农”主体风险保障需求。各省级人民政府加强组织领导，统筹推进本行政区域内农业保险规划发展、资源统筹、政策宣传等各项工作，发挥农业保险工作小组作用，组织有关部门和保险机构加强协同配合，确保各项任务落实见效。各有关部门按职责分工做好政策设计、资金安排、监督管理等工作。保险机构切实提高服务质效，可根据业务需要设立协保员，为承保理赔等服务提供便利。","农业农村部计划财务司 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