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推动「十五五」农业农村发展规划任务落地","https:\u002F\u002Fjhs.moa.gov.cn\u002Fghgl\u002F202610\u002Ft20261021_6488825.htm","10月21日召开的部署会提出，农业农村领域各专项规划与各省级地方规划已基本印发，全国「一盘棋」总体格局初步形成。会议要求紧盯约束性指标不折不扣完成，聚焦粮食安全与不发生规模性返贫致贫两条底线，谋划储备打基础利长远的重大项目，并加强规划实施动态监测与中期评估。","10月21日，“十五五”农业农村发展规划任务落实部署会在长沙召开，深入学习贯彻习近平总书记关于“三农”工作的重要论述和重要指示批示精神，贯彻落实党中央、国务院决策部署，就落实《加快农业农村现代化“十五五”规划》作出安排，推动重要指标、重点任务、重大工程落地见效，为“十五五”开好局、起好步奠定基础。\n\n会议指出，国务院印发《加快农业农村现代化“十五五”规划》后，各地深入学习贯彻，对标跟进、上下联动、协同发力，有序推进“十五五”农业农村规划编制工作。目前，农业农村领域各专项规划、各省级地方规划已基本印发，全国农业农村“十五五”规划“一盘棋”总体格局初步形成。\n\n会议强调，要准确把握《加快农业农村现代化“十五五”规划》的任务要求和实施重点，强化对农业农村现代化趋势变化和发展规律的认识，进一步提升抓落实促发展的工作质效。要深化认识抓落实，深入学习领会党的二十届四中全会精神，落实规划部署要求，持续加强宣传贯彻，凝聚共识、汇聚众力扎实推进。要紧盯指标抓落实，不折不扣完成好约束性指标，积极推进预期性指标。要聚焦重点抓落实，坚持产量产能、生产生态、增产增收一起抓，提升农业综合生产能力和质量效益，守牢国家粮食安全底线；推进常态化精准帮扶，守牢不发生规模性返贫致贫底线；学习运用“千万工程”经验，扎实推进宜居宜业和美乡村建设，推动基本实现农业现代化、农村基本具备现代生活条件取得重大进展。要谋细工程抓落实，谋划储备一批打基础、利长远的重大项目，做深做实前期工作，推动项目跟着规划走、资金跟着项目走。要跟踪监测抓落实，加强规划实施的动态监测、中期评估和总结评估，推进全过程全环节调度督促，确保如期实现各项目标任务。要加快农业发展全面绿色转型，加强农业绿色发展水平监测评价，扎实开展新一轮农业资源区划，推行绿色生产方式，提升经营主体绿色发展能力，推进农业生态价值实现，持续擦亮农业农村现代化的绿色底色。\n\n各省、自治区、直辖市和新疆生产建设兵团农业农村部门有关负责同志参加会议，农业农村部畜牧兽医局、种业管理司有关负责同志及黑龙江、江苏、浙江、湖南、广东、四川、云南、青海农业农村部门负责同志、湖南省长沙市负责同志作了交流发言。会议期间，与会代表现场考察了长沙县加快农业农村现代化、推进乡村全面振兴的情况。","农业农村部发展规划司 2026-10-21","2026-10-21T00:00:00Z","政策",91,{"impact":246,"substance":91,"depth":247,"authority":19,"freshness":13,"relevant":22,"comment":248},28,16,"农业农村部召开全国性部署会，明确“十五五”规划落实路径与重点任务，政策层级高、信息增量足，值得进入每日精选。",[250],{"name":241,"url":238},[252,27,253,254,255],"十五五规划","农业农村现代化","农业绿色发展","千万工程",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":259},{"candidates":260,"agricultural_evidence":51},[261,268,272,277,282,287,292],{"code":262,"score":263,"supported":51,"title":264,"abstract":266,"tags":267},"G",8,[265],"农村发展",[],[],{"code":33,"score":164,"supported":51,"title":269,"abstract":270,"tags":271},[],[27],[27],{"code":273,"score":22,"supported":14,"title":274,"abstract":275,"tags":276},"G4",[],[],[255],{"code":278,"score":22,"supported":14,"title":279,"abstract":280,"tags":281},"H4",[],[],[254],{"code":283,"score":22,"supported":14,"title":284,"abstract":285,"tags":286},"H8",[],[],[254],{"code":288,"score":22,"supported":14,"title":289,"abstract":290,"tags":291},"J1",[],[],[252],{"code":293,"score":22,"supported":14,"title":294,"abstract":295,"tags":296},"J2",[],[],[253],[298,299],"农业农村部 长沙 十五五规划","加快农业农村现代化 十五五规划","农业农村部长沙十五五规划-5497","2026-10-22T00:06:57.871828Z",{"id":303,"title":304,"url":305,"summary":306,"summary_zh":307,"content":8,"source_name":308,"source_url":305,"published_at":309,"category":310,"cover_url":8,"hotness":13,"is_selected":14,"score":311,"score_detail":312,"sources":315,"tags":317,"primary_topic":322,"secondary_topics":323,"classification":324,"search_phrases":353,"slug":356,"view_count":233,"doi":357,"paper":358,"created_at":377},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","论文",74,{"impact":247,"substance":18,"depth":313,"authority":141,"freshness":263,"relevant":22,"comment":314},17,"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。",[316],{"name":308,"url":305},[318,319,27,320,321],"数字农业","数字乡村","农业产业链韧性","安徽农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":325},{"candidates":326,"agricultural_evidence":51},[327,332,338,343,348],{"code":33,"score":198,"supported":51,"title":328,"abstract":329,"tags":331},[],[27,330],"food security",[27],{"code":333,"score":198,"supported":51,"title":334,"abstract":335,"tags":337},"I1",[],[318,336],"digital agriculture",[318],{"code":262,"score":21,"supported":51,"title":339,"abstract":340,"tags":342},[],[265,341],"rural development",[],{"code":288,"score":63,"supported":51,"title":344,"abstract":345,"tags":347},[],[346],"农业政策",[],{"code":349,"score":22,"supported":14,"title":350,"abstract":351,"tags":352},"I6",[],[],[319],[354,355],"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":357,"openalex_id":359,"authors":360,"venue":308,"cited_by_count":233,"oa_url":305,"card":370,"direction":374,"ingested_from":376},"W7223005655",[361,364,366,368],{"name":362,"orcid":363},"Lan Ma","https:\u002F\u002Forcid.org\u002F0000-0003-2468-9917",{"name":365,"orcid":8},"Yuyan Li",{"name":367,"orcid":8},"张国亮",{"name":369,"orcid":8},"Yaoyao Li",{"tldr":371,"method":372,"finding":373,"direction":374,"opportunity":375},"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。","数字乡村与农业信息化","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。","openalex","2026-10-21T23:30:29.219265Z",{"id":379,"title":380,"url":381,"summary":382,"summary_zh":383,"content":8,"source_name":384,"source_url":381,"published_at":309,"category":310,"cover_url":8,"hotness":13,"is_selected":14,"score":385,"score_detail":386,"sources":388,"tags":390,"primary_topic":395,"secondary_topics":396,"classification":408,"search_phrases":452,"slug":455,"view_count":233,"doi":456,"paper":457,"created_at":474},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations",55,{"impact":263,"substance":17,"depth":19,"authority":21,"freshness":263,"relevant":22,"comment":387},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[389],{"name":384,"url":381},[27,391,392,393,394],"小农户","气候智慧农业","农业推广","津巴布韦",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[397,402],{"code":398,"slug":399,"name":400,"path":401,"parent_code":262},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",{"code":403,"slug":404,"name":405,"path":406,"parent_code":407},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":45,"locked":14,"version":46,"method":47,"evidence":409},{"candidates":410,"agricultural_evidence":51},[411,415,420,428,433,440,447],{"code":33,"score":19,"supported":51,"title":412,"abstract":413,"tags":414},[330],[27,330],[27],{"code":398,"score":19,"supported":51,"title":416,"abstract":418,"tags":419},[417],"smallholder",[391,417],[391],{"code":403,"score":13,"supported":51,"title":421,"abstract":422,"tags":427},[],[423,424,425,426],"气候变化","干旱","climate change","drought",[392],{"code":69,"score":198,"supported":51,"title":429,"abstract":430,"tags":432},[],[393,431],"agricultural extension",[393],{"code":434,"score":21,"supported":51,"title":435,"abstract":436,"tags":439},"A3",[],[437,438],"玉米","maize",[],{"code":441,"score":21,"supported":51,"title":442,"abstract":443,"tags":446},"G3",[],[444,445],"农村金融","rural finance",[],{"code":333,"score":63,"supported":51,"title":448,"abstract":449,"tags":451},[],[450],"smart agriculture",[],[453,454],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":456,"openalex_id":458,"authors":459,"venue":384,"cited_by_count":233,"oa_url":8,"card":468,"direction":473,"ingested_from":376},"W7223029383",[460,463,466],{"name":461,"orcid":462},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":464,"orcid":465},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":467,"orcid":8},"Patience Mutopo",{"tldr":469,"method":470,"finding":471,"direction":374,"opportunity":472},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:08.937079Z"]