[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3140":3,"related-3140":55},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":54},3140,"Validity of experience-based food insecurity scales among Indigenous Peoples","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1962514","Well-validated experience-based food insecurity (FI) scales have been extensively used to assess FI in general populations across the globe. However, the validity of these scales in Indigenous communities remains uncertain. The objective of this evidence-informed expert synthesis was to assess the validity of experience-based FI scales among Indigenous Peoples. We examined peer-reviewed articles that (1) used an experience-based FI scale; (2) were conducted in an Indigenous Community or involved a survey specifically targeting Indigenous or Aboriginal peoples, regardless of where they lived; and (3) included data that allowed assessment of scale psychometric and\u002For predictive and convergent validity. We identified 21 articles of studies conducted in Africa, Latin America, North America, and the Western Pacific regions. Findings suggest that, in Indigenous communities, experience-based FI scales have adequate face validity, psychometric validity, convergent validity (associations between FI and dietary intake), and predictive validity (associations between FI and socioeconomic or psycho-emotional stress indicators). However, these scales may not fully capture additional context-specific dimensions of FI related to traditional or ancestral food systems. Research is needed to identify core FI scale items that are broadly applicable across Indigenous population complemented with additional context-specific culturally relevant measures. Such efforts would improve large-scale assessments of FI in highly vulnerable communities that are often excluded from national surveillance and monitoring systems, provide a more accurate understanding of the distribution and magnitude of FI, and suggest ways to address it among Indigenous Peoples in different parts of the world.","经过充分验证的基于经验的粮食不安全（FI）量表已被广泛用于评估全球一般人群的粮食不安全状况。然而，这些量表在原住民社区中的有效性仍不确定。本项基于证据的专家综合研究旨在评估基于经验的粮食不安全量表在原住民群体中的有效性。我们审查了经同行评审的文章，这些文章（1）使用了基于经验的粮食不安全量表；（2）在原住民社区中开展，或涉及专门针对原住民或土著民族的调查，无论其居住何地；（3）包含可用于评估量表心理测量学和\u002F或预测效度及聚合效度的数据。我们识别出21篇在非洲、拉丁美洲、北美和西太平洋地区开展研究的文章。研究结果表明，在原住民社区中，基于经验的粮食不安全量表具有足够的表面效度、心理测量效度、聚合效度（粮食不安全与膳食摄入之间的关联）和预测效度（粮食不安全与社会经济或心理情绪压力指标之间的关联）。然而，这些量表可能无法完全捕捉与传统或祖传食物系统相关的额外情境特异性粮食不安全维度。需要开展研究以确定可广泛适用于原住民群体的核心粮食不安全量表条目，并辅以额外的情境特异性文化相关测量指标。此类努力将改善对高度脆弱社区粮食不安全的大规模评估——这些社区往往被排除在国家监测和监控系统之外——提供对粮食不安全分布和严重程度更准确的理解，并为应对世界不同地区原住民的粮食不安全问题提出对策。",null,"Frontiers in Sustainable Food Systems","2026-09-22T00:00:00Z","论文",10,false,67,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},8,20,16,13,1,"系统评估经验性食物不安全量表在原住民社区效度的证据综述，对完善农村食物安全监测与信息化评估有参考价值，但属学术结论层面，公共影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业信息化","粮食安全","原住民社区","食物不安全量表","农村监测",[32,33],"Frontiers Sustainable Food Systems 食物不安全量表","原住民 食物不安全 量表效度","FrontiersSustainableFoodSystems食物不安全量表-3140",0,"10.3389\u002Ffsufs.2026.1962514",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":47,"direction":51,"ingested_from":53},"W7213967028",[40,42,45],{"name":41,"orcid":9},"Rafael Pérez-Escamilla",{"name":43,"orcid":44},"Sofía Segura‐Pérez","https:\u002F\u002Forcid.org\u002F0000-0001-8717-3315",{"name":46,"orcid":9},"Haydee Amalia Segura-Millán",{"tldr":48,"method":49,"finding":50,"direction":51,"opportunity":52},"综述评估经验性食物不安全量表在原住民群体中的效度，发现其基本有效但未涵盖传统食物系统维度。","证据信息专家综合，分析21篇非洲、拉美、北美和西太平洋地区原住民研究。","量表具表面、心理测量、收敛和预测效度，但未充分捕捉传统或祖先食物系统的情境维度。","其他","可开发融合文化相关指标的原住民食物不安全测量工具，以纳入国家监测并指导干预。","openalex","2026-09-22T23:30:07.744222Z",{"total":56,"page":21,"page_size":56,"items":57},6,[58,102,144,169,220,257],{"id":59,"title":60,"url":61,"summary":62,"summary_zh":9,"content":9,"source_name":63,"source_url":61,"published_at":64,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":65,"score_detail":66,"sources":73,"tags":75,"search_phrases":79,"slug":82,"view_count":35,"doi":83,"paper":84,"created_at":101},2621,"Spatiotemporal mismatches in China's grain production under dual perspectives of regional comparability and global benchmarking","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104986","Spatiotemporal mismatches in China's grain production under dual perspectives of regional comparability and global benchmarking。Agricultural Systems","Agricultural Systems","2026-09-16T00:00:00Z",84,{"impact":67,"substance":68,"depth":69,"authority":70,"freshness":71,"relevant":21,"comment":72},22,21,18,14,9,"核心期刊论文，从区域可比性与全球对标双视角揭示中国粮食生产时空错配，方法新颖、数据规模大，对粮食安全布局有参考价值，值得进入每日精选。",[74],{"name":63,"url":61},[76,26,27,77,78],"农业遥感","空间分析","粮食生产",[80,81],"农业信息化 农业遥感 空间分析 粮食安全","农业信息化 农业遥感","农业信息化农业遥感空间分析粮食安全-2621","10.1016\u002Fj.agsy.2026.104986",{"doi":83,"openalex_id":85,"authors":86,"venue":63,"cited_by_count":35,"oa_url":9,"card":9,"direction":9,"ingested_from":53},"W7213276104",[87,90,93,96,99],{"name":88,"orcid":89},"Jingchen Wang","https:\u002F\u002Forcid.org\u002F0000-0003-2367-852X",{"name":91,"orcid":92},"Sufen Wang","https:\u002F\u002Forcid.org\u002F0000-0002-8767-2197",{"name":94,"orcid":95},"Yunfei Fan","https:\u002F\u002Forcid.org\u002F0000-0002-1363-6433",{"name":97,"orcid":98},"Yu Hou","https:\u002F\u002Forcid.org\u002F0000-0002-3746-2415",{"name":100,"orcid":9},"Ke Xu","2026-09-16T23:30:05.185625Z",{"id":103,"title":104,"url":105,"summary":106,"summary_zh":9,"content":9,"source_name":10,"source_url":105,"published_at":107,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":108,"score_detail":109,"sources":115,"tags":117,"search_phrases":120,"slug":123,"view_count":35,"doi":124,"paper":125,"created_at":143},1251,"Digital technology and grain industrial chain resilience: mechanisms, heterogeneity, and threshold effects","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1847872","Introduction Against the backdrop of rising global food system vulnerabilities driven by climate shocks, geopolitical disruptions and pandemic aftershocks, enhancing grain industrial chain resilience has become a strategic priority for countries worldwide. Existing literature has widely documented the productivity gains of digital technology in agriculture, yet the causal pathways and boundary conditions through which digitalization shapes grain industrial chain resilience remain under-explored. Methods Drawing on panel data for 285 prefecture-level cities in China spanning 2014 to 2024, this study develops a composite digital technology index and assesses the resilience of the grain industrial chain across three dimensions grounded in resilience theory: resistance, recovery, and transformation capacity. Employing a two-way fixed effects model, instrumental variable estimation, panel threshold model and mediated effects framework, we examine the causal impact, transmission mechanisms and heterogeneous patterns of digital technology on grain industrial chain resilience. Results The results indicate that digital technology exerts a significant positive effect on grain industrial chain resilience, and this finding remains robust after endogeneity adjustment and multiple robustness checks. Mechanism analysis demonstrates that digital technology enhances resilience through two complementary channels: improving resource allocation efficiency and fostering industrial synergy and integration. Heterogeneity analysis shows that the resilience-enhancing effect of digital technology is stronger in eastern regions and plain areas, while dimensional differences appear only as a point-estimate pattern and lack statistical verification. Threshold tests confirm two single-threshold effects, with digital infrastructure and farmers' digital literacy serving as boundary conditions. Further dimensional analysis shows a differentiated constraint pattern. Discussion This study provides empirical evidence and targeted policy references for digital transformation in the grain sector.","2026-08-25T00:00:00Z",79,{"impact":67,"substance":110,"depth":111,"authority":112,"freshness":113,"relevant":21,"comment":114},24,19,12,2,"基于中国地级市面板数据的实证研究，揭示数字技术提升粮食产业链韧性的机制与边界条件，对政策制定有参考价值。",[116],{"name":10,"url":105},[118,26,27,119],"数字农业","产业链韧性",[121,122],"产业链韧性 农业信息化 数字农业 粮食安全","产业链韧性 农业信息化","产业链韧性农业信息化数字农业粮食安全-1251","10.3389\u002Ffsufs.2026.1847872",{"doi":124,"openalex_id":126,"authors":127,"venue":10,"cited_by_count":35,"oa_url":136,"card":137,"direction":141,"ingested_from":53},"W7204197128",[128,131,133],{"name":129,"orcid":130},"Hao Li","https:\u002F\u002Forcid.org\u002F0009-0007-0547-5071",{"name":132,"orcid":9},"Yuqiao Ma",{"name":134,"orcid":135},"Zihan Yang","https:\u002F\u002Forcid.org\u002F0000-0003-4305-049X","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1847872\u002Fpdf",{"tldr":138,"method":139,"finding":140,"direction":141,"opportunity":142},"研究数字技术对中国粮食产业链韧性的影响、机制与边界条件。","基于2014-2024年285个城市面板数据，采用双向固定效应、工具变量、面板门","数字技术显著提升粮食产业链韧性，通过优化资源配置和产业协同，且存在基础设施和农民数字素养的门槛效应。","农业人工智能与决策模型","可探索数字技术对粮食产业链韧性的非线性影响，特别是不同维度（如恢复力）的差异化约束机制。","2026-09-01T04:03:09.775335Z",{"id":145,"title":146,"url":147,"summary":148,"summary_zh":9,"content":9,"source_name":149,"source_url":9,"published_at":150,"category":151,"cover_url":9,"hotness":13,"is_selected":14,"score":152,"score_detail":153,"sources":157,"tags":159,"search_phrases":164,"slug":167,"view_count":35,"doi":9,"paper":9,"created_at":168},3201,"习近平总书记向全国广大农民和工作在\"三农\"战线上的同志们致以节日祝贺和诚挚问候——凝聚\"十五五\"乡村全面振兴合力","https:\u002F\u002Fnews.china.com.cn\u002F2026-09\u002F23\u002Fcontent_118708838.shtml","9-22 新华社发布重要报道：9-22 在第九个\"中国农民丰收节\"到来之际，习近平总书记代表党中央向全国广大农民和工作在\"三农\"战线上的同志们致以节日祝贺和诚挚问候。总书记指出今年我国夏粮产量再创新高、早稻保持稳产、秋粮丰收在望。农业农村部种植业管理司副司长吕修涛表示，\"十五五\"时期将一手抓粮食播种面积、一手抓单产提升，深入实施藏粮于地、藏粮于技战略，提升农业生产防灾减灾救灾能力，坚决守牢粮食安全底线。中国工程院院士陈温福表示，将带领团队继续攻坚种业创新，把论文写在大地上为端稳中国饭碗提供坚实支撑。报道指出，\"十五五\"时期是基本实现农业农村现代化的关键时期，将以辛勤耕耘的实干姿态推动农业农村高质量发展。","新华社·中国网","2026-09-22T11:00:00Z","报道",89,{"impact":154,"substance":18,"depth":19,"authority":155,"freshness":13,"relevant":21,"comment":156},28,15,"国家级三农政策报道，时效性强、信源权威，含十五五粮食安全与种业创新实质内容，值得进入每日精选。",[158],{"name":149,"url":147},[160,161,27,162,163],"十五五","种业振兴","单产提升","农民丰收节",[165,166],"习近平总书记 农民丰收节 祝贺","十五五 粮食安全 单产提升","习近平总书记农民丰收节祝贺-3201","2026-09-23T00:04:26.338384Z",{"id":170,"title":171,"url":172,"summary":173,"summary_zh":174,"content":9,"source_name":175,"source_url":172,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":176,"score_detail":177,"sources":179,"tags":181,"search_phrases":186,"slug":189,"view_count":35,"doi":190,"paper":191,"created_at":219},3169,"Climate change and the rising threat of Macrophomina phaseolina: implications for food security, food safety, and sustainable crop health management","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10725-026-01525-5","Abstract Macrophomina phaseolina is a destructive soil-borne necrotrophic fungal pathogen that causes substantial yield losses in a wide range of economically important crops worldwide. Disease severity is strongly enhanced under drought, high temperature, and salinity stress, conditions that are becoming increasingly prevalent under current climate change scenarios. This review examines the interactions between climate-driven abiotic stress, host physiological regulation, and pathogen aggressiveness, highlighting how stress-induced disruptions in hormonal signalling, reactive oxygen species homeostasis, antioxidant defence systems, and plant metabolism collectively increase susceptibility to M. phaseolina . Recent advances in understanding pathogen virulence mechanisms, plant immune responses, and resistance-associated molecular pathways are synthesised together with emerging evidence from transcriptomics, proteomics, metabolomics, and comparative genomics. The review further evaluates current management strategies, including host resistance, biological control, plant growth-promoting microorganisms, stress priming, and integrated disease management, while discussing their limitations under field conditions. Emerging technologies such as precision agriculture, remote sensing, artificial intelligence-assisted disease forecasting, and multi-omics approaches are highlighted as promising tools for improving early diagnosis, risk prediction, and climate-resilient disease management. By integrating advances in plant physiology, molecular biology, and sustainable crop protection, this review provides a comprehensive framework for understanding M. phaseolina pathogenesis under changing environmental conditions. It identifies key research priorities to improve crop resilience and safeguard global food security.","摘要 菜豆壳球孢（Macrophomina phaseolina）是一种具有破坏性的土传死体营养型真菌病原菌，在全球范围内对多种具有重要经济价值的作物造成严重产量损失。在干旱、高温和盐胁迫条件下，病害严重程度显著加剧，而这些条件在当前气候变化情景下正变得越来越普遍。本文综述了气候驱动的非生物胁迫、寄主生理调控与病原菌致病力之间的相互作用，重点阐述了胁迫诱导的激素信号传导紊乱、活性氧稳态失衡、抗氧化防御系统受损以及植物代谢改变如何共同增加对菜豆壳球孢的易感性。本文综合了病原菌毒力机制、植物免疫反应及抗性相关分子通路方面的最新研究进展，并结合转录组学、蛋白质组学、代谢组学和比较基因组学的新兴证据。本文进一步评估了当前的管理策略，包括寄主抗性、生物防治、植物促生微生物、胁迫 priming 和病害综合管理，同时讨论了这些策略在田间条件下的局限性。精准农业、遥感、人工智能辅助病害预测和多组学方法等新兴技术被重点介绍为改善早期诊断、风险预测和气候韧性病害管理的有前景的工具。通过整合植物生理学、分子生物学和可持续作物保护方面的进展，本文为理解变化环境条件下菜豆壳球孢的致病机制提供了综合框架，并确定了提高作物韧性和保障全球粮食安全的关键研究优先方向。","Plant Growth Regulation",80,{"impact":69,"substance":18,"depth":69,"authority":70,"freshness":13,"relevant":21,"comment":178},"核心期刊综述，系统梳理气候胁迫下土传病害机制与AI遥感等智慧防控手段，对农业信息化与粮食安全主题有聚合价值。",[180],{"name":175,"url":172},[182,27,183,184,185],"智慧农业","植物病害","气候变化","遥感监测",[187,188],"Macrophomina phaseolina 病害 防控","气候变暖 土传病害 粮食安全","Macrophominaphaseolina病害防控-3169","10.1007\u002Fs10725-026-01525-5",{"doi":190,"openalex_id":192,"authors":193,"venue":175,"cited_by_count":35,"oa_url":172,"card":213,"direction":218,"ingested_from":53},"W7213972258",[194,196,198,201,204,207,210],{"name":195,"orcid":9},"Sindiswa Khawula",{"name":197,"orcid":9},"Siyabonga Ntshalitshali",{"name":199,"orcid":200},"Arun Gokul","https:\u002F\u002Forcid.org\u002F0000-0003-1575-0632",{"name":202,"orcid":203},"Lee‐Ann Niekerk","https:\u002F\u002Forcid.org\u002F0000-0002-9788-3131",{"name":205,"orcid":206},"Ashwil Klein","https:\u002F\u002Forcid.org\u002F0000-0002-5606-886X",{"name":208,"orcid":209},"Marshall Keyster","https:\u002F\u002Forcid.org\u002F0000-0002-8718-736X",{"name":211,"orcid":212},"Mbukeni Nkomo","https:\u002F\u002Forcid.org\u002F0000-0002-7652-1588",{"tldr":214,"method":215,"finding":216,"direction":141,"opportunity":217},"综述气候变化下干旱高温盐胁迫加剧菜豆壳球孢菌病害的机制与可持续防控策略。","整合转录组、蛋白组、代谢组、比较基因组及精准农业、遥感、AI预测等技术。","气候胁迫破坏激素与ROS平衡降低作物抗性，需多组学与智能技术实现早期预警和抗性管理。","可构建融合多组学与气象遥感的AI病害预警模型，并研发胁迫 priming 与生防协同的田间方案。","农业遥感与作物表型","2026-09-22T23:30:22.790623Z",{"id":221,"title":222,"url":223,"summary":224,"summary_zh":225,"content":9,"source_name":226,"source_url":223,"published_at":227,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":228,"score_detail":229,"sources":232,"tags":234,"search_phrases":239,"slug":242,"view_count":35,"doi":243,"paper":244,"created_at":256},3156,"Climate Adaptation and Sustainable Agriculture in Africa: Strategies for Food Security","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no2.2025.pg8.32","This study investigates the role of Climate-Smart Agriculture (CSA) and agroecology in enhancing agricultural resilience and food security in the face of climate change in Africa. Through a comprehensive review of existing literature, case studies, and policy frameworks, the research explores how these adaptive strategies are being implemented across the continent and assesses their effectiveness. The findings reveal that while CSA techniques—such as droughtresistant crop varieties, water-efficient irrigation, and soil management practices—offer tangible benefits to agricultural productivity and resilience, their widespread adoption remains constrained by limited access to finance, inadequate infrastructure, and insufficient extension services. Similarly, agroecological approaches, including crop diversification, agroforestry, and organic farming, have proven successful in fostering sustainable agricultural practices and enhancing biodiversity, yet face significant challenges from prevailing agricultural policies and institutional frameworks that favor large-scale industrial agriculture. The study recommends scaling up the adoption of CSA and agroecology by improving access to financing, technology, and farmer training programs. It also advocates for policy reforms that support agroecological practices and climate adaptation, as well as increased investment in research and development. Additionally, fostering multi-stakeholder collaborations, including public-private partnerships, is critical to overcoming institutional barriers and ensuring the effective implementation of climate adaptation strategies. The conclusion underscores the need for integrated policy frameworks that combine the strengths of CSA and agroecology to build a resilient, sustainable, and food-secure agricultural sector in Africa. By addressing both environmental and socioeconomic challenges, these strategies can significantly contribute to combating the impacts of climate change on African agriculture, ensuring long-term food security and sustainable development.","本研究探讨了气候智能型农业（Climate-Smart Agriculture, CSA）和农业生态学在增强非洲农业应对气候变化韧性和粮食安全方面的作用。通过系统梳理现有文献、案例研究和政策框架，本研究考察了这些适应性策略在非洲大陆的实施情况并评估其有效性。研究发现，尽管气候智能型农业技术——如抗旱作物品种、节水灌溉和土壤管理措施——对提高农业生产力和韧性具有切实效益，但其广泛采用仍受限于融资渠道有限、基础设施不足和推广服务欠缺。同样，农业生态学方法，包括作物多样化、农林业和有机农业，已被证明在促进可持续农业实践和增强生物多样性方面卓有成效，但仍面临来自有利于大规模工业化农业的现行农业政策和制度框架的重大挑战。本研究建议通过改善融资渠道、技术获取和农民培训项目来扩大气候智能型农业和农业生态学的采用。研究还倡导支持农业生态实践和气候适应的政策改革，以及增加研发投入。此外，促进多方利益相关者合作，包括公私合作伙伴关系，对于克服制度障碍和确保气候适应策略的有效实施至关重要。结论强调，需要建立综合性政策框架，将气候智能型农业和农业生态学的优势相结合，以在非洲构建具有韧性、可持续且粮食安全的农业部门。通过同时应对环境和社会经济挑战，这些策略能够为抵御气候变化对非洲农业的影响、确保长期粮食安全和可持续发展作出重大贡献。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-21T00:00:00Z",76,{"impact":69,"substance":18,"depth":230,"authority":20,"freshness":17,"relevant":21,"comment":231},17,"系统综述非洲气候智慧型农业与生态农业的适应策略及政策障碍，结论可靠但属文献综述，非突破性成果。",[233],{"name":226,"url":223},[27,235,236,237,238],"非洲农业","气候智慧型农业","农业适应","生态农业",[240,241],"气候智慧型农业 非洲","生态农业 粮食安全","气候智慧型农业非洲-3156","10.56201\u002Fijgem.vol.11.no2.2025.pg8.32",{"doi":243,"openalex_id":245,"authors":246,"venue":226,"cited_by_count":21,"oa_url":9,"card":249,"direction":255,"ingested_from":53},"W7213982962",[247],{"name":248,"orcid":9},"Ayobami Samuel Owoyemi",{"tldr":250,"method":251,"finding":252,"direction":253,"opportunity":254},"综述气候智慧型农业与生态农业在非洲提升农业韧性与粮食安全的成效及障碍。","文献综述、案例研究与政策框架分析。","两类策略有效但受资金、基建、推广服务及政策偏向制约。","农业绿色发展与碳","可量化评估CSA与生态农业在非洲不同区域的适配性与政策协同效果。","智慧农业 \u002F 农业物联网","2026-09-22T23:30:10.505058Z",{"id":258,"title":259,"url":260,"summary":261,"summary_zh":262,"content":9,"source_name":10,"source_url":260,"published_at":227,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":263,"score_detail":264,"sources":267,"tags":269,"search_phrases":274,"slug":277,"view_count":35,"doi":278,"paper":279,"created_at":300},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。",86,{"impact":67,"substance":265,"depth":69,"authority":70,"freshness":71,"relevant":21,"comment":266},23,"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。",[268],{"name":10,"url":260},[270,27,271,272,273],"高标准农田","农业保险","绿色生产力","极端气候",[275,276],"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":278,"openalex_id":280,"authors":281,"venue":10,"cited_by_count":35,"oa_url":260,"card":295,"direction":253,"ingested_from":53},"W7213938600",[282,285,288,290,293],{"name":283,"orcid":284},"Bin Zheng","https:\u002F\u002Forcid.org\u002F0000-0002-9984-4136",{"name":286,"orcid":287},"Shuai Hao","https:\u002F\u002Forcid.org\u002F0000-0001-7856-0495",{"name":289,"orcid":9},"Junye Zhao",{"name":291,"orcid":292},"Liping Liu","https:\u002F\u002Forcid.org\u002F0000-0001-5729-4984",{"name":294,"orcid":9},"Qian Nie",{"tldr":296,"method":297,"finding":298,"direction":253,"opportunity":299},"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"]