[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1368":3,"related-1368":65},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":29,"classification":30,"search_phrases":48,"slug":51,"view_count":52,"doi":53,"paper":54,"created_at":64},1368,"【中国案例】喀斯特山区新型农村集体经济项目风险管理与韧性提升：以广西河池 110 个项目为例","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16171863","广西大学农学院团队基于广西河池市 110 个新型农村集体经济项目，运用扎根理论识别风险因素，层次分析法与模糊综合评价量化风险指标权重。识别四类十维风险（系统性、外部环境、运营管理、财务资本）；市场、价格、资本回收、运营销售、投资决策、内部治理是高风险维度；提出针对性风险管控、日常基础巩固、多维保障三维策略。",null,"Agriculture · MDPI · 2026-08-28","2026-08-27T16:00:00Z","论文",10,false,65,{"impact":16,"substance":17,"depth":18,"authority":16,"freshness":19,"relevant":20,"comment":21},12,20,18,3,1,"基于110个项目的实证研究，风险识别与策略具有地方实践价值，但时效性较低。",[23],{"name":9,"url":6},[25,26,27,28],"乡村振兴","喀斯特山区","农村集体经济","风险管理",[],{"status":31,"locked":13,"version":32,"method":33,"evidence":34},"unclassified","2026-10-22.2","rules",{"candidates":35,"agricultural_evidence":46,"reason":47},[36,41],{"code":37,"score":20,"supported":13,"title":38,"abstract":39,"tags":40},"G",[],[],[25],{"code":42,"score":20,"supported":13,"title":43,"abstract":44,"tags":45},"G4",[],[],[27],true,"缺少足够的主题证据",[49,50],"农村集体经济 喀斯特山区 乡村振兴 风险管理","农村集体经济 喀斯特山区","农村集体经济喀斯特山区乡村振兴风险管理-1368",2,"10.3390\u002Fagriculture16171863",{"doi":53,"openalex_id":8,"authors":55,"venue":8,"cited_by_count":56,"oa_url":8,"card":57,"direction":61,"ingested_from":63},[],0,{"tldr":58,"method":59,"finding":60,"direction":61,"opportunity":62},"研究喀斯特山区农村集体经济项目风险，提出韧性提升策略。","扎根理论、层次分析法、模糊综合评价。","识别四类十维风险，市场等六维度高风险，提出三维策略。","数字乡村与农业信息化","可结合数字技术构建风险预警系统，提升山区集体经济韧性。","agent","2026-09-02T00:05:07.096635Z",{"total":66,"page":20,"page_size":66,"items":67},6,[68,142,191,263,351,413],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":73,"content":8,"source_name":74,"source_url":71,"published_at":75,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":76,"score_detail":77,"sources":82,"tags":84,"primary_topic":88,"secondary_topics":93,"classification":94,"search_phrases":119,"slug":122,"view_count":56,"doi":123,"paper":124,"created_at":141},5368,"The enabling effect of farmers’ cooperatives on the rural collective economy: evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1971166","Based on panel data from 30 provinces in China covering the period 2015–2023, this paper examines the impact of farmers’ cooperatives on the rural collective economy and the underlying mechanisms. First, a multidimensional evaluation system is constructed to measure the development levels of farmers’ cooperatives and the rural collective economy. Subsequently, baseline regressions are estimated using a two-way fixed-effects model and the instrumental variables approach, while the underlying mechanisms are systematically identified through moderating-effect models, threshold-effect models, spatial econometric models, and dimension-specific tests. The results indicate that, during the study period, the overall development levels of China’s farmers’ cooperatives and the rural collective economy showed distinct temporal evolutionary characteristics. Specifically, the overall development level of farmers’ cooperatives declined slightly, while the rural collective economy maintained steady growth. Baseline regression results show that the development of farmers’ cooperatives has a significant positive promotional effect on the rural collective economy, and this conclusion remains robust after multiple robustness tests and endogeneity treatments. Mechanism analysis reveals that cooperatives primarily exert their empowering effect through two channels: improving operational performance and promoting industrial upgrading, whereas their effects in dimensions such as standardized operation and service scope are not significant. Heterogeneity tests confirm that this promotional effect exhibits marked regional differentiation, being significant only in the eastern regions and not yet manifested in the central and western regions. Further analysis indicates that the agricultural industry growth rate plays a positive moderating role in the process by which cooperatives empower the collective economy; the level of land transfer exhibits a single-threshold effect, with the cooperative’s promotional effect strengthening significantly once the threshold value is exceeded. Moreover, the development of farmers’ cooperatives exhibits significant positive spatial spillover effects, driving the development of the collective economy in neighboring regions through factor mobility and industrial linkages.","基于2015—2023年中国30个省份的面板数据，本文考察了农民合作社对农村集体经济的影响及其作用机制。首先，构建多维评价体系测度农民合作社与农村集体经济的发展水平。随后，采用双向固定效应模型和工具变量法进行基准回归估计，同时通过调节效应模型、门槛效应模型、空间计量模型及分维度检验系统识别其内在机制。结果表明，研究期内中国农民合作社与农村集体经济的整体发展水平呈现明显的时间演变特征。具体而言，农民合作社整体发展水平略有下降，而农村集体经济保持稳定增长。基准回归结果显示，农民合作社发展对农村集体经济具有显著的正向促进作用，且该结论在多重稳健性检验和内生性处理后依然成立。机制分析发现，合作社主要通过提升经营绩效和促进产业升级两条渠道发挥赋能作用，而在规范运营和服务范围等维度上的效应不显著。异质性检验证实，该促进作用呈现明显的区域分化特征，仅在东部地区显著，中西部地区尚未显现。进一步分析表明，农业产业增长率在合作社赋能集体经济的过程中发挥正向调节作用；土地流转水平呈现单一门槛效应，一旦跨越门槛值，合作社的促进作用显著增强。此外，农民合作社发展具有显著的正向空间溢出效应，通过要素流动和产业关联带动邻近地区集体经济发展。","Frontiers in Sustainable Food Systems","2026-10-19T00:00:00Z",79,{"impact":18,"substance":78,"depth":18,"authority":79,"freshness":80,"relevant":20,"comment":81},22,13,8,"基于30省面板数据的实证研究，方法扎实、结论有新意，对合作社赋能集体经济具政策参考价值。",[83],{"name":74,"url":71},[25,85,27,86,87],"空间溢出","土地流转","农民合作社",{"code":89,"slug":90,"name":91,"path":92,"parent_code":37},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":95,"locked":13,"version":32,"method":33,"evidence":96},"classified",{"candidates":97,"agricultural_evidence":46},[98,104,111,115],{"code":89,"score":99,"supported":46,"title":100,"abstract":101,"tags":103},11,[],[86,87,102],"land transfer",[87,86],{"code":105,"score":106,"supported":46,"title":107,"abstract":108,"tags":110},"I4",4,[],[109],"空间计量",[85],{"code":37,"score":20,"supported":13,"title":112,"abstract":113,"tags":114},[],[],[25],{"code":42,"score":20,"supported":13,"title":116,"abstract":117,"tags":118},[],[],[27],[120,121],"农民合作社 农村集体经济","合作社 土地流转 门槛效应","农民合作社农村集体经济-5368","10.3389\u002Ffsufs.2026.1971166",{"doi":123,"openalex_id":125,"authors":126,"venue":74,"cited_by_count":56,"oa_url":134,"card":135,"direction":61,"ingested_from":140},"W7222921695",[127,130,132],{"name":128,"orcid":129},"Miao Qian","https:\u002F\u002Forcid.org\u002F0009-0006-6758-2924",{"name":131,"orcid":8},"Xiuyu Huang",{"name":133,"orcid":8},"Jiaomeng Li","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1971166\u002Fpdf",{"tldr":136,"method":137,"finding":138,"direction":61,"opportunity":139},"基于2015–2023年30省面板数据，检验农民合作社对农村集体经济的促进效应及机制。","双向固定效应模型、工具变量法、调节\u002F门槛\u002F空间计量模型及多维评价体系。","合作社通过提升经营绩效与产业升级显著促进集体经济，效应仅东部显著且有正向空间溢出。","可探究中西部效应缺失原因，并引入数字化指标考察合作社信息化对集体经济的赋能路径。","openalex","2026-10-20T23:30:06.525852Z",{"id":143,"title":144,"url":145,"summary":146,"summary_zh":8,"content":147,"source_name":148,"source_url":8,"published_at":149,"category":150,"cover_url":8,"hotness":12,"is_selected":46,"score":151,"score_detail":152,"sources":157,"tags":159,"primary_topic":163,"secondary_topics":167,"classification":168,"search_phrases":186,"slug":189,"view_count":19,"doi":8,"paper":8,"created_at":190},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","政策",91,{"impact":153,"substance":154,"depth":18,"authority":155,"freshness":66,"relevant":20,"comment":156},28,24,15,"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。",[158],{"name":148,"url":145},[25,160,161,27,162],"农业保险","农村金融","多元投入",{"code":37,"slug":164,"name":165,"path":166,"parent_code":8},"rural-services","农业服务与乡村发展","\u002Ftopic\u002Frural-services",[],{"status":169,"locked":13,"version":32,"method":33,"evidence":170},"partial",{"candidates":171,"agricultural_evidence":46},[172,177,182],{"code":37,"score":155,"supported":46,"title":173,"abstract":174,"tags":176},[25],[25,175],"农村发展",[25],{"code":178,"score":52,"supported":13,"title":179,"abstract":180,"tags":181},"G3",[],[],[160,161],{"code":42,"score":20,"supported":13,"title":183,"abstract":184,"tags":185},[],[],[27],[187,188],"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":192,"title":193,"url":194,"summary":195,"summary_zh":196,"content":8,"source_name":74,"source_url":194,"published_at":197,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":198,"score_detail":199,"sources":202,"tags":204,"primary_topic":208,"secondary_topics":212,"classification":213,"search_phrases":239,"slug":242,"view_count":243,"doi":244,"paper":245,"created_at":262},2132,"How can digital financial inclusion promote sustainable rural industrial development? Evidence from China and threshold conditions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1923130","Introduction Advancing sustainable rural industrial development is a core component of rural revitalization. However, the pathways through which digital financial inclusion (DFI) promotes sustainable rural industrial development, and the conditions governing these effects, remain insufficiently understood. Methods Using data from Chinese provinces from 2011 to 2022, this study calculated the degree of sustainable rural industrial development and its spatio-temporal evolution. Mediation analysis and panel threshold models were employed to investigate the transmission mechanisms and critical thresholds through which digital financial inclusion affects sustainable rural industrial development. Results The findings indicate that while sustainable rural industrial development is rising, it remains relatively low, with the primary disparities stemming mainly from regional differences; the “long-tail effect,” “catfish effect,” and “information effect” of digital financial inclusion can effectively promote sustainable rural industrial development, with more pronounced benefits in terms of rural industrial modernization and in main grain-consuming areas; agricultural technology innovation (ATI) plays a mediating role. The mediating effect accounts for 38% of the total effect; and how digital financial inclusion and sustainable rural industrial development are linked is also affected by external effects from the new rural collective economy. When the level of the new rural collective economy exceeds a certain threshold, the promoting effect of digital financial inclusion on sustainable rural industrial development can be fully manifested. Discussion These findings offer theoretical and practical support for China’s implementation of the rural revitalization strategy and highlight the institutional preconditions under which digital financial inclusion can effectively empower sustainable rural industrial development.","引言 推进乡村产业可持续发展是乡村振兴的核心内容。然而，数字普惠金融（DFI）促进乡村产业可持续发展的路径及其作用条件尚缺乏充分认识。方法 本研究利用2011—2022年中国省级数据，测算了乡村产业可持续发展水平及其时空演变特征，并采用中介分析和面板门槛模型，考察数字普惠金融影响乡村产业可持续发展的传导机制与关键门槛。结果 研究发现，乡村产业可持续发展水平虽呈上升趋势，但总体仍相对较低，其主要差异来源于区域差异；数字普惠金融的“长尾效应”“鲶鱼效应”和“信息效应”能够有效促进乡村产业可持续发展，且在乡村产业现代化和粮食主销区方面的促进效应更为明显；农业技术创新（ATI）发挥中介作用，其中介效应占总效应的38%；数字普惠金融与乡村产业可持续发展之间的关系还受到新型农村集体经济外部效应的影响。当新型农村集体经济发展水平超过一定门槛后，数字普惠金融对乡村产业可持续发展的促进作用才能充分显现。讨论 上述发现为中国实施乡村振兴战略提供了理论与实践支持，并揭示了数字普惠金融有效赋能乡村产业可持续发展的制度前提。","2026-09-10T00:00:00Z",80,{"impact":18,"substance":78,"depth":18,"authority":79,"freshness":200,"relevant":20,"comment":201},9,"基于中国省级面板数据的实证研究，揭示数字普惠金融促进乡村产业可持续发展的中介机制与门槛条件，方法规范、结论有政策参考价值，值得进入每日精选。",[203],{"name":74,"url":194},[205,25,206,207,27],"数字乡村","农业科技创新","数字普惠金融",{"code":42,"slug":209,"name":210,"path":211,"parent_code":37},"rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry",[],{"status":95,"locked":13,"version":32,"method":33,"evidence":214},{"candidates":215,"agricultural_evidence":46},[216,220,225,229,234],{"code":37,"score":106,"supported":46,"title":217,"abstract":218,"tags":219},[],[25],[25],{"code":42,"score":106,"supported":46,"title":221,"abstract":222,"tags":224},[],[223],"乡村产业",[27],{"code":178,"score":20,"supported":13,"title":226,"abstract":227,"tags":228},[],[],[207],{"code":230,"score":20,"supported":13,"title":231,"abstract":232,"tags":233},"I6",[],[],[205],{"code":235,"score":20,"supported":13,"title":236,"abstract":237,"tags":238},"J2",[],[],[206],[240,241],"农业科技创新 农村集体经济 数字普惠金融 乡村振兴","农业科技创新 农村集体经济","农业科技创新农村集体经济数字普惠金融乡村振兴-2132",5,"10.3389\u002Ffsufs.2026.1923130",{"doi":244,"openalex_id":246,"authors":247,"venue":74,"cited_by_count":56,"oa_url":194,"card":257,"direction":61,"ingested_from":140},"W7212129033",[248,250,252,254],{"name":249,"orcid":8},"Yingdi Han",{"name":251,"orcid":8},"Dalin Liang",{"name":253,"orcid":8},"Haowen Zhang",{"name":255,"orcid":256},"Jinbo Pang","https:\u002F\u002Forcid.org\u002F0000-0001-6965-4166",{"tldr":258,"method":259,"finding":260,"direction":61,"opportunity":261},"基于中国省级数据，揭示数字普惠金融通过农业技术创新促进农村产业可持续发展，并受新型农村集体经济门槛约","2011-2022年省级面板数据，中介效应与面板门槛模型。","数字普惠金融显著促进农村产业可持续发展，农业技术创新中介效应占38%，新型农村集体经济超过门槛后效应","可探究数字普惠金融与新型农村集体经济的协同机制，及不同作物区、县域尺度的异质性门槛与空间溢出效应。","2026-09-11T23:30:08.006808Z",{"id":264,"title":265,"url":266,"summary":267,"summary_zh":268,"content":8,"source_name":269,"source_url":266,"published_at":270,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":271,"score_detail":272,"sources":275,"tags":277,"primary_topic":282,"secondary_topics":287,"classification":288,"search_phrases":333,"slug":336,"view_count":56,"doi":337,"paper":338,"created_at":350},5563,"AI-Powered Early Detection of Crop Diseases and Pest Infestations: A New Paradigm for Plantation Risk Management","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23531525","Abstract: Crop diseases and pest infestations remain persistent threats to plantation productivity, with pests estimated to destroy up to 40% of global crop production and plant diseases and invasive insects imposing substantial economic losses worldwide (Food and Agriculture Organization of the United Nations [FAO], 2019). Climate change is intensifying these risks by altering the geographic range, seasonality, and population dynamics of pathogens and pests (Gullino et al., 2021; Skendžić et al., 2021). This paper examines how artificial intelligence (AI) — including convolutional neural networks (CNNs), vision transformers (ViTs), unmanned aerial vehicle (UAV)-based multispectral and hyperspectral sensing, and Internet of Things (IoT)-enabled monitoring — can strengthen the early detection of biotic stress in plantation crops and thereby support plantation risk management. Drawing on recent peer-reviewed and industry literature, the paper synthesises evidence on detection performance, deployment modalities, and pathways for integration into enterprise risk-management systems. It proposes a conceptual framework in which AI-enabled early-warning systems operate as a continuous, spatially explicit risk-sensing layer linking agronomic observations with operational, financial, and insurance decision-making. AI can improve the timeliness, spatial precision, and consistency of surveillance; however, its risk-management value depends on field validation, representative training data, reliable infrastructure, affordable deployment, and appropriate governance. AI should therefore currently be positioned as decision support that augments, rather than replaces, agronomic expertise and ground-truthing. Keywords: artificial intelligence; plant disease detection; pest infestation; precision agriculture; plantation risk management; machine learning; remote sensing. Title: AI-Powered Early Detection of Crop Diseases and Pest Infestations: A New Paradigm for Plantation Risk Management Author: Dr. Geetha Govindan K Gopalakrishnan International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 14, Issue 2, October 2026 - March 2027 Page No: 54-59 Research Publish Journals Website: www.researchpublish.com Published Date: 21-October-2026 DOI: https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23531526 Paper Download Link (Source) https:\u002F\u002Fwww.researchpublish.com\u002Fpapers\u002Fai-powered-early-detection-of-crop-diseases-and-pest-infestations-a-new-paradigm-for-plantation-risk-management","摘要：作物病害与虫害侵染始终是种植园生产力的持续威胁，据估计，害虫每年可摧毁全球高达40%的作物产量，植物病害与入侵昆虫在全球范围内造成重大经济损失（联合国粮食及农业组织[FAO]，2019）。气候变化通过改变病原体与害虫的地理分布范围、季节性规律及种群动态，正在加剧这些风险（Gullino等，2021；Skendžić等，2021）。本文探讨人工智能（AI）——包括卷积神经网络（CNN）、视觉变换器（ViT）、基于无人机（UAV）的多光谱与高光谱遥感，以及物联网（IoT）赋能的监测技术——如何强化种植园作物生物胁迫的早期检测，从而支撑种植园风险管理。本文基于近期同行评审文献与行业文献，综合梳理了检测性能、部署模式及其融入企业风险管理系统的路径等方面的证据。文章提出一个概念框架，其中AI赋能的预警系统作为持续运行、空间显性的风险感知层，将农艺观测与运营、财务及保险决策相衔接。AI能够提升监测的及时性、空间精度与一致性；然而，其风险管理价值取决于田间验证、具有代表性的训练数据、可靠的基础设施、可负担的部署成本以及适当的治理。因此，当前应将AI定位为决策支持工具，用以增强而非替代农艺专业知识与实地核验。关键词：人工智能；植物病害检测；虫害侵染；精准农业；种植园风险管理；机器学习；遥感。题目：AI驱动的作物病害与虫害侵染早期检测：种植园风险管理的新范式。作者：Geetha Govindan K Gopalakrishnan博士。《国际管理与商业创新期刊》ISSN 2348-7585（在线）第14卷第2期，2026年10月—2027年3月，第54-59页。研究出版期刊网站：www.researchpublish.com。发布日期：2026年10月21日。DOI：https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23531526。论文下载链接（来源）：https:\u002F\u002Fwww.researchpublish.com\u002Fpapers\u002Fai-powered-early-detection-of-crop-diseases-and-pest-infestations-a-new-paradigm-for-plantation-risk-ma","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",56,{"impact":16,"substance":273,"depth":79,"authority":66,"freshness":200,"relevant":20,"comment":274},16,"综述性论文，系统梳理AI与遥感在作物病虫害早期预警中的应用并提出风险管理框架，有参考价值但方法创新与数据规模有限，信源为普通出版平台。",[276],{"name":269,"url":266},[278,279,280,28,281],"智慧农业","农业人工智能","遥感监测","病虫害监测",{"code":283,"slug":284,"name":285,"path":286,"parent_code":8},"I","digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":169,"locked":13,"version":32,"method":33,"evidence":289},{"candidates":290,"agricultural_evidence":46,"reason":332},[291,300,309,317,325],{"code":292,"score":12,"supported":46,"title":293,"abstract":294,"tags":299},"I2",[],[295,296,297,298],"机器学习","machine learning","artificial intelligence","decision support",[279],{"code":301,"score":12,"supported":46,"title":302,"abstract":303,"tags":308},"I3",[],[304,305,306,307],"遥感","remote sensing","multispectral","hyperspectral",[280],{"code":310,"score":200,"supported":46,"title":311,"abstract":312,"tags":316},"I5",[],[313,314,315],"物联网","internet of things","IoT",[],{"code":318,"score":319,"supported":46,"title":320,"abstract":321,"tags":324},"I1",7,[],[322,323],"精准农业","precision agriculture",[278],{"code":326,"score":66,"supported":46,"title":327,"abstract":328,"tags":331},"H7",[],[329,330],"气候变化","climate change",[],"一级领域明确，二级方向需要细分",[334,335],"AI 作物病害 早期检测","无人机 多光谱 病虫害监测","AI作物病害早期检测-5563","10.5281\u002Fzenodo.23531525",{"doi":337,"openalex_id":339,"authors":340,"venue":269,"cited_by_count":56,"oa_url":266,"card":343,"direction":349,"ingested_from":140},"W7223085400",[341],{"name":342,"orcid":8},"Dr. Geetha Govindan K Gopalakrishnan",{"tldr":344,"method":345,"finding":346,"direction":347,"opportunity":348},"综述AI（CNN、ViT、无人机遥感、物联网）用于作物病虫害早期检测并融入种植园风险管理。","文献综述，整合CNN、ViT、无人机多\u002F高光谱与IoT监测的检测性能与部署方式。","AI可提升监测及时性与空间精度，但价值取决于田间验证、代表性数据与治理，应作决策支持而非替代专家。","农业人工智能与决策模型","可将AI预警层与保险、金融风控系统对接，研究跨域数据融合与可解释风险定价的空白。","智慧农业 \u002F 农业物联网","2026-10-22T11:20:24.428080Z",{"id":352,"title":353,"url":354,"summary":355,"summary_zh":356,"content":8,"source_name":74,"source_url":354,"published_at":270,"category":11,"cover_url":8,"hotness":12,"is_selected":46,"score":357,"score_detail":358,"sources":362,"tags":364,"primary_topic":369,"secondary_topics":370,"classification":371,"search_phrases":390,"slug":393,"view_count":56,"doi":394,"paper":395,"created_at":412},5551,"The effect of rural tourism on rural prosperity: evidence from China on agricultural labor productivity, incomes, and household food consumption","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1904226","Policy support in China has disproportionately favored rural tourism as a core pillar of rural revitalization. However, its net effect on agricultural labor productivity, rural income, and household consumption remains empirically untested. This study examines how rural tourism expenditure affects these three dimensions of rural prosperity and evaluates alternative policy instruments to maximize developmental benefits. The analysis employs a dynamic autoregressive distributed lag (ARDL) simulation model using annual Chinese data from 1994 to 2023. The findings reveal that an increase in rural tourism expenditure significantly reduces agricultural labor productivity, rural household income, and rural household consumption in both the short run and the long run. A positive shock to rural tourism expenditure similarly generates a negative response across all three outcomes, with the effects persisting over the forecast horizon. These results suggest that the net effect of rural tourism expansion on rural prosperity is consistently negative, challenging the conventional assumption that rural tourism serves as an unconditional driver of rural development. The findings call for conditional tourism subsidies, complementary investments in agricultural capital, and spatially differentiated rural development policies that safeguard agricultural livelihoods while permitting tourism to develop only where it does not displace farming.","中国的政策支持过度倾向于将乡村旅游作为乡村振兴的核心支柱。然而，其对农业劳动生产率、农村收入和家庭消费的净效应尚未得到实证检验。本研究考察乡村旅游支出如何影响农村繁荣的这三个维度，并评估替代性政策工具以最大化发展效益。分析采用动态自回归分布滞后（ARDL）模拟模型，使用1994年至2023年的中国年度数据。研究发现，乡村旅游支出的增加在短期和长期均显著降低农业劳动生产率、农村家庭收入和农村家庭消费。乡村旅游支出的正向冲击同样对上述三项结果产生负向响应，且效应在预测期内持续存在。这些结果表明，乡村旅游扩张对农村繁荣的净效应始终为负，挑战了乡村旅游无条件作为农村发展驱动力的传统假设。研究结果呼吁实施有条件的旅游补贴、对农业资本进行配套投资，以及空间差异化的农村发展政策，在保障农业生计的同时，仅允许旅游业在不挤占农业的地区发展。",87,{"impact":78,"substance":359,"depth":18,"authority":360,"freshness":12,"relevant":20,"comment":361},23,14,"基于1994—2023年中国数据的ARDL实证发现，乡村旅游扩张对农业劳动生产率、农户收入与消费的净效应持续为负，对无条件扶持乡村旅游的政策假设构成有力挑战，值得进入每日精选。",[363],{"name":74,"url":354},[25,365,366,367,368],"农村消费","乡村旅游","农户收入","农业劳动生产率",{"code":42,"slug":209,"name":210,"path":211,"parent_code":37},[],{"status":95,"locked":13,"version":32,"method":33,"evidence":372},{"candidates":373,"agricultural_evidence":46},[374,379,384],{"code":42,"score":155,"supported":46,"title":375,"abstract":377,"tags":378},[376],"rural tourism",[366,376],[366],{"code":37,"score":12,"supported":46,"title":380,"abstract":381,"tags":383},[],[25,175,382],"rural development",[25],{"code":385,"score":106,"supported":46,"title":386,"abstract":387,"tags":389},"G6",[],[388],"rural income",[367],[391,392],"乡村旅游 农业劳动生产率 农户收入","乡村旅游 ARDL 农村消费","乡村旅游农业劳动生产率农户收入-5551","10.3389\u002Ffsufs.2026.1904226",{"doi":394,"openalex_id":396,"authors":397,"venue":74,"cited_by_count":56,"oa_url":406,"card":407,"direction":61,"ingested_from":140},"W7223149969",[398,401,403],{"name":399,"orcid":400},"Jin Liu","https:\u002F\u002Forcid.org\u002F0000-0001-7654-255X",{"name":402,"orcid":8},"Betelhemabraham Geremew",{"name":404,"orcid":405},"Meseret C. Abate","https:\u002F\u002Forcid.org\u002F0000-0002-6486-5607","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1904226\u002Fpdf",{"tldr":408,"method":409,"finding":410,"direction":61,"opportunity":411},"用中国1994-2023年数据检验乡村旅游支出对农业劳动生产率、农村收入与消费的净效应。","动态自回归分布滞后（ARDL）模拟模型，1994-2023年中国年度数据。","乡村旅游支出增加在短期和长期均显著降低农业劳动生产率、农村家庭收入与消费。","可结合县域面板与空间异质性，量化旅游与农业的挤出效应并识别有条件补贴的适用边界。","2026-10-22T11:20:16.227845Z",{"id":414,"title":415,"url":416,"summary":417,"summary_zh":8,"content":418,"source_name":419,"source_url":8,"published_at":270,"category":420,"cover_url":8,"hotness":12,"is_selected":13,"score":421,"score_detail":422,"sources":424,"tags":426,"primary_topic":431,"secondary_topics":435,"classification":436,"search_phrases":452,"slug":455,"view_count":56,"doi":8,"paper":8,"created_at":456},5501,"湖南部署常态化精准帮扶与秋粮收购攻坚战","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261021A0DV5F00","10月21日湖南省委副书记谢卫江在全省农业农村工作专题会议上要求，今年是推进常态化帮扶的第一年，要落实30个省级乡村振兴重点帮扶县常态化帮扶机制，坚决守牢不发生规模性返贫致贫底线；同时紧盯中晚稻集中上市，加快解决送粮排队、仓容不足、轮换不畅问题，以农民「种粮卖得出」为底线打好秋粮收购攻坚战。","湖南日报10月21日讯（全媒体记者 黄晗）21日，省委副书记谢卫江在长沙主持召开全省农业农村工作专题会议，深入学习贯彻习近平总书记关于“三农”工作的重要论述精神，落实省委工作要求，部署常态化帮扶、秋粮收购等工作。\n\n谢卫江指出，做好常态化帮扶和秋粮收购工作，事关不发生规模性返贫致贫、维护国家粮食安全“两条底线”。要深学细悟习近平总书记重要指示精神，深刻认识做好这两项工作的特殊重要性、任务艰巨性、时间紧迫性，把这两项工作摆在当前“三农”工作的突出位置抓紧抓好，以实际行动深刻领悟“两个确立”的决定性意义、坚决做到“两个维护”。\n\n谢卫江强调，今年是推进常态化帮扶的第一年。各级各部门要强化答卷意识，压紧压实责任，持续深化去年中央考核评估反馈问题、省级自查督查发现问题整改，严格对照今年中央考核方案做好自查整改，认真落实30个省级乡村振兴重点帮扶县常态化帮扶机制，坚决守牢不发生规模性返贫致贫底线。\n\n谢卫江强调，面对今年粮食收购复杂形势，当前要紧盯中晚稻集中上市，加快解决好送粮排队、仓容不足、轮换不畅等现实问题，坚决打好秋粮收购攻坚战。要处理好立足当前与着眼长远、市场收购与政府托市、促进流通与确保安全、部门工作与群众利益的关系，以农民“种粮卖得出”为底线，以“卖个好价钱”为目标，长短结合、统筹兼顾，坚决扛牢维护国家粮食安全的政治责任。\n\n谢卫江要求，四季度是全年工作冲刺收官的关键期。各级各部门要对账盘点，统筹抓好秋冬农业生产、农业品牌建设、农田水利和高标准农田建设、农业农村重点工作专项整治等工作，确保“十五五”开局之年圆满收官。","湖南日报 2026-10-21","报道",75,{"impact":78,"substance":18,"depth":155,"authority":99,"freshness":200,"relevant":20,"comment":423},"省级专题会议部署防返贫与秋粮收购两条底线，政策信号明确、时效性强，但属常规工作部署，信息增量有限。",[425],{"name":419,"url":416},[25,427,428,429,430],"粮食安全","常态化帮扶","秋粮收购","防止返贫",{"code":385,"slug":432,"name":433,"path":434,"parent_code":37},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration",[],{"status":95,"locked":13,"version":32,"method":33,"evidence":437},{"candidates":438,"agricultural_evidence":46},[439,443,447],{"code":385,"score":243,"supported":46,"title":440,"abstract":441,"tags":442},[],[428],[428,430],{"code":37,"score":106,"supported":46,"title":444,"abstract":445,"tags":446},[],[25],[25],{"code":448,"score":52,"supported":13,"title":449,"abstract":450,"tags":451},"A8",[],[],[429,427],[453,454],"湖南 秋粮收购","湖南 常态化帮扶","湖南秋粮收购-5501","2026-10-22T00:06:58.311020Z"]