[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3259":3,"related-3259":60},{"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":22,"tags":24,"search_phrases":30,"slug":33,"view_count":34,"doi":35,"paper":36,"created_at":59},3259,"How does agribusiness-led contract farming affect the rural common prosperity: empirical evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1946413","Agribusiness-led contract farming is widely recognized as an institutional arrangement that reduces transaction costs and stabilizes smallholder incomes, yet its macro-level implications for rural common prosperity remain insufficiently understood. Using prefecture-level panel data from 272 Chinese cities over 2015–2023, this study empirically examines how agribusiness-led contract farming affects rural common prosperity through the dual lenses of affluence and sharing. Baseline estimates show that agribusiness-led contract farming significantly raises rural disposable income while narrowing both inter-city rural income gap and urban–rural income disparities. These effects operate through enhancing agricultural labor productivity and facilitating non-agricultural employment. Heterogeneity analyses reveal stronger impacts in industrially weak, remote, and economically lagging regions. Spatial econometric estimates further indicate that the positive spillover effects of agribusiness-led contract farming depend more on economic connectivity than on geographic proximity alone. Policy implications include scaling up agribusiness-led contract farming in underdeveloped areas, strengthening rural vocational training, and fostering inter-regional value-chain linkages.","龙头企业主导的订单农业被广泛视为一种能够降低交易成本、稳定小农收入的制度安排，但其对农村共同富裕的宏观层面影响仍缺乏充分认识。本研究利用2015—2023年中国272个地级市的面板数据，从富裕与共享的双重视角，实证考察龙头企业主导的订单农业如何影响农村共同富裕。基准估计结果显示，龙头企业主导的订单农业显著提高了农村可支配收入，同时缩小了城市间农村收入差距和城乡收入差距。这些效应通过提升农业劳动生产率和促进非农就业得以实现。异质性分析表明，在工业薄弱、偏远和经济滞后地区，其影响更为显著。空间计量估计进一步表明，龙头企业主导的订单农业的正向溢出效应更多依赖于经济连通性，而非仅取决于地理邻近性。政策启示包括：在欠发达地区扩大龙头企业主导的订单农业规模，加强农村职业培训，以及促进区域间价值链联系。",null,"Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":13,"relevant":20,"comment":21},18,22,13,1,"基于272个地级市2015—2023年面板数据的实证研究，方法规范、结论有新意，对订单农业与农村共同富裕的政策讨论有参考价值。",[23],{"name":10,"url":6},[25,26,27,28,29],"乡村振兴","农民增收","农业产业化","订单农业","城乡收入差距",[31,32],"农业企业 订单农业 农户收入","订单农业 城乡收入差距 中国","农业企业订单农业农户收入-3259",0,"10.3389\u002Ffsufs.2026.1946413",{"doi":35,"openalex_id":37,"authors":38,"venue":10,"cited_by_count":34,"oa_url":6,"card":52,"direction":56,"ingested_from":58},"W7214061483",[39,41,44,46,49],{"name":40,"orcid":9},"Zhengyue Shen",{"name":42,"orcid":43},"Tingting Liu","https:\u002F\u002Forcid.org\u002F0000-0002-0619-6601",{"name":45,"orcid":9},"Bingnan Guo",{"name":47,"orcid":48},"Ning Ding","https:\u002F\u002Forcid.org\u002F0000-0001-5618-6359",{"name":50,"orcid":51},"Jing Cheng","https:\u002F\u002Forcid.org\u002F0000-0001-9920-7842",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"基于中国272个地级市面板数据，实证检验农业企业主导的订单农业对农村共同富裕的影响。","2015–2023年地级市面板数据，空间计量与中介效应分析。","订单农业显著提高农村收入并缩小城乡及城市间收入差距，且存在空间溢出。","数字乡村与农业信息化","可探究数字平台如何强化订单农业的跨区域价值链联结与空间溢出效应。","openalex","2026-09-23T23:30:06.784830Z",{"total":61,"page":20,"page_size":61,"items":62},6,[63,96,139,163,187,209],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":9,"content":9,"source_name":68,"source_url":9,"published_at":69,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":70,"score_detail":71,"sources":77,"tags":79,"search_phrases":83,"slug":86,"view_count":34,"doi":9,"paper":87,"created_at":95},3319,"数字乡村发展政策如何促进县域共同富裕——基于国家数字乡村试点的准自然实验（2493个县域面板数据）","https:\u002F\u002Fhdjj.cbpt.cnki.net\u002Fportal\u002Fjournal\u002Fportal\u002Fclient\u002Fpaper\u002F9c80dbc0eb5a9c566aa948a15e08a887","《华东经济管理》2026年09月20日网络首发。何元浪、袁健红（广西大学\u002F东南大学）基于2012—2023年中国2,493个县域面板数据，以国家数字乡村试点作为准自然实验。研究发现：数字乡村发展政策能够增加农民收入，缩小城乡收入差距，促进县域共同富裕；机制分析揭示，数字乡村发展政策通过加强基础设施建设、提升农业生产效率和推动劳动力转移促进县域共同富裕；进一步分析发现，数字乡村发展政策对共同富裕的促进效应在南方地区、金融发展水平高和基层组织能力强的县域更为显著，并且该政策对邻接县域共同富裕具有显著的正向溢出效应。","《华东经济管理》2026年09月20日 网络首发","2026-09-20T00:00:00Z",86,{"impact":18,"substance":72,"depth":73,"authority":74,"freshness":75,"relevant":20,"comment":76},23,19,14,8,"基于2493个县域面板数据的准自然实验，方法规范、数据规模大，结论对数字乡村政策评估有实质参考价值。",[78],{"name":68,"url":66},[80,26,29,81,82],"数字乡村","县域共同富裕","国家试点",[84,85],"国家数字乡村试点 县域 共同富裕","数字乡村 城乡收入差距 2493个县域","国家数字乡村试点县域共同富裕-3319",{"doi":9,"openalex_id":9,"authors":88,"venue":9,"cited_by_count":34,"oa_url":9,"card":89,"direction":56,"ingested_from":94},[],{"tldr":90,"method":91,"finding":92,"direction":56,"opportunity":93},"基于2493个县域面板数据，用国家数字乡村试点准自然实验评估政策对县域共同富裕的促进效应。","2012—2023年县域面板数据，双重差分法（准自然实验）与机制、异质性、空间溢","数字乡村政策通过基建、农业生产率与劳动力转移增加农民收入、缩小城乡差距，且具正向空间溢出。","可探究数字乡村政策的空间溢出边界与衰减规律，及金融、基层组织等条件对政策效果的调节机制。","agent","2026-09-24T00:04:02.203373Z",{"id":97,"title":98,"url":99,"summary":100,"summary_zh":101,"content":9,"source_name":102,"source_url":99,"published_at":11,"category":12,"cover_url":9,"hotness":103,"is_selected":14,"score":104,"score_detail":105,"sources":110,"tags":114,"search_phrases":119,"slug":122,"view_count":34,"doi":123,"paper":124,"created_at":138},3352,"Agricultural Productivity under Climate Change and the Dynamics of Rural Economic Resilience: Adaptation Pathways from Farms to Households and Territories","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22925809","This paper examines the relationship between climate change, agricultural productivity, and rural economic resilience by integrating evidence on climatic pressures, farm-level adaptation, and broader rural transformation. Climate change affects agricultural production through rising temperatures, heat stress, rainfall variability, drought, water scarcity, soil degradation, pests, and other interacting environmental pressures. These effects are transmitted beyond crop yields through farm income, employment, food security, agricultural value chains, and the economic stability of rural territories. The paper shows that agricultural resilience depends on farmers’ capacity to adopt complementary adaptation strategies, including crop diversification, improved soil management, climate-smart agriculture, water-management technologies, climate information, agricultural insurance, and other risk-management mechanisms. At the household level, livelihood diversification, migration, entrepreneurship, access to productive assets, and institutional support can reduce dependence on climate-sensitive agricultural activities. At the territorial level, resilient agricultural value chains, market access, infrastructure, local product valorization, and non-farm employment contribute to absorbing and adapting to climatic disturbances. The analysis therefore approaches resilience as a multidimensional process connecting agricultural productivity, household adaptive capacity, food security, and rural economic transformation. The findings suggest that effective climate adaptation requires coordinated interventions combining productive, financial, institutional, social, and territorial mechanisms rather than isolated technological responses","本文通过整合气候压力、农场层面适应以及更广泛的农村转型等方面的证据，考察了气候变化、农业生产率与农村经济韧性之间的关系。气候变化通过气温上升、热应激、降雨变率、干旱、水资源短缺、土壤退化、病虫害及其他相互作用的环境压力影响农业生产。这些影响超越作物产量，经由农场收入、就业、粮食安全、农业价值链以及农村地域的经济稳定等渠道传导。本文表明，农业韧性取决于农民采取互补性适应策略的能力，包括作物多样化、改善土壤管理、气候智慧型农业、水资源管理技术、气候信息、农业保险及其他风险管理机制。在农户层面，生计多样化、迁移、创业、生产性资产获取以及制度支持能够降低对气候敏感型农业活动的依赖。在地域层面，具有韧性的农业价值链、市场准入、基础设施、本地产品增值以及非农就业有助于吸收和适应气候扰动。因此，本分析将韧性视为一个多维过程，连接农业生产率、农户适应能力、粮食安全与农村经济转型。研究结果表明，有效的气候适应需要将生产性、金融性、制度性、社会性和地域性机制相结合的协调干预，而非孤立的技术应对措施。","Zenodo (CERN European Organization for Nuclear Research)",25,77,{"impact":17,"substance":106,"depth":107,"authority":19,"freshness":108,"relevant":20,"comment":109},20,17,9,"系统梳理气候变化下农业生产力与农村经济韧性的多层次适应路径，结论具政策参考价值，但属综述性论文，非突破性成果。",[111,112],{"name":102,"url":99},{"name":102,"url":113},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22925808",[25,115,116,117,118],"农业韧性","农业保险","气候变化","气候智慧农业",[120,121],"气候智慧农业 适应路径","农业韧性 农村经济","气候智慧农业适应路径-3352","10.5281\u002Fzenodo.22925809",{"doi":123,"openalex_id":125,"authors":126,"venue":102,"cited_by_count":34,"oa_url":99,"card":131,"direction":137,"ingested_from":58},"W7214087966",[127,129],{"name":128,"orcid":9},"Naledi Ncube",{"name":130,"orcid":9},"Rudo Marashe",{"tldr":132,"method":133,"finding":134,"direction":135,"opportunity":136},"综述气候变化下农业生产力与农村经济韧性的多维适应路径。","整合气候压力、农场适应与农村转型的文献证据分析。","有效适应需生产、金融、制度、社会与区域机制协同而非单一技术。","农业绿色发展与碳","可量化农户—区域多层级适应组合的协同效应与韧性阈值。","智慧农业 \u002F 农业物联网","2026-09-24T23:30:10.179607Z",{"id":140,"title":141,"url":142,"summary":143,"summary_zh":9,"content":9,"source_name":144,"source_url":9,"published_at":145,"category":146,"cover_url":9,"hotness":13,"is_selected":14,"score":147,"score_detail":148,"sources":151,"tags":153,"search_phrases":158,"slug":161,"view_count":34,"doi":9,"paper":9,"created_at":162},3313,"一块地咋挣两份钱？湖北省农科院未玉115高蛋白玉米破解高产与高蛋白难以协同育种难题——9-12示范方机收测产644.1公斤\u002F亩","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260921\u002F20260921_6\u002Fnmrb_20260921_13410_6_2101782287385464902.html","农民日报报道：金秋九月，湖北黄冈麻城市中馆驿镇马路口村的200亩高蛋白玉米未玉115示范田里果穗黄亮。未玉115是湖北省农业科学院粮食作物研究所牵头，联合洪山实验室、未米公司历经10余年选育而成的突破性高产、高蛋白玉米新品种。品种穗筒形，白轴黄粒，硬粒型，蛋白含量达13%，是普通玉米的1.6倍以上。省区域试验平均亩产533.76公斤，9月12日示范方里机收测产644.1公斤\u002F亩。该品种将作为样本：从源头抓优种质基因，产业上由未米生物开发全链，推专种、专收、专烘、专储、专用，把育种、种植、饲料、养殖串成订单闭环。","农民日报 2026年09月21日","2026-09-21T00:00:00Z","报道",78,{"impact":18,"substance":18,"depth":107,"authority":149,"freshness":61,"relevant":20,"comment":150},11,"省级科研机构十年育成的突破性高蛋白玉米品种，蛋白含量13%、机收测产644.1公斤\u002F亩，并以专种专收订单闭环打通种养链条，数据扎实、模式可复制，对种业振兴与饲料粮减替具有参考价值。",[152],{"name":144,"url":142},[154,155,156,28,157],"种业振兴","高蛋白玉米","院企合作","饲料粮替代",[159,160],"湖北省农科院 未玉115 高蛋白玉米","麻城 未玉115 机收测产","湖北省农科院未玉115高蛋白玉米-3313","2026-09-24T00:04:00.334784Z",{"id":164,"title":165,"url":166,"summary":167,"summary_zh":9,"content":168,"source_name":169,"source_url":9,"published_at":11,"category":146,"cover_url":9,"hotness":13,"is_selected":14,"score":170,"score_detail":171,"sources":175,"tags":177,"search_phrases":182,"slug":185,"view_count":34,"doi":9,"paper":9,"created_at":186},3307,"2026年中国农民丰收节青浦区主题活动举办——上海市农业科学院与青浦区人民政府签署院区合作框架协议","https:\u002F\u002Fso.html5.qq.com\u002Fpage\u002Freal\u002Fsearch_news?docid=70000021_3916ab3975266252","9月23日上午，丰收开新局实干促振兴2026年中国农民丰收节青浦区主题活动举办。上海市农业农村委党组成员、上海市农业科学院党委书记金俊峰出席活动并致辞。上海市农业科学院与青浦区共建了6个专家工作站、23个乡村振兴示范基地，共同承担多项市科技兴农项目。现场签署了院区合作框架协议，中国农业银行上海长三角一体化示范区支行为三家农企授信2350万元，惠农e贷以数据赋能，信用额度最高可达千万元。","2026年中国农民丰收节青浦区主题活动举办\n\n![Image 1: 绿色青浦](https:\u002F\u002Fqb-profile.image.myqcloud.com\u002Favatar_9063004ee45f04e1c47bf7b40257f912.png)\n\n绿色青浦\n\n14小时前\n\n秋分时节，万物登稔。今天（9月23日）上午，“丰收开新局 实干促振兴”2026年中国农民丰收节青浦区主题活动举办。青浦区委书记王平，上海市农业农村委党组成员、上海市农业科学院党委书记金俊峰出席活动并致辞。青浦区政协党组书记李忠兴，上海市农业科学院党委委员、副院长赵志辉，上海市农业科学院党委委员、纪委书记姚训，青浦区政府党组成员郁梦娴出席活动。\n\n![Image 2](http:\u002F\u002Fqqpublic.qpic.cn\u002Fqq_public\u002F0\u002F28-362991825-CA2113F6EADFEAF867AD12D4A524C580\u002F0?fmt=jpg&size=5&h=92&w=1080&ppv=1)\n\n王平表示，丰收，是新时代最嘹亮的奋进号角。青浦始终把“三农”工作摆在突出位置，学习运用“千万工程”经验，以“美·好·生·活·家”乡村振兴“五景”工程为抓手，把文化“展”开来、把景观“串”起来、把产业“融”进去；以构建农文商旅体展“六业”融合新格局为引领，推动“五个一”特色产业提质增效、量质齐升；以党建引领乡村运营为路径，推动“新农人”扎根乡土、逐梦田野。王平强调，站在新的起点，青浦将在科技上做文章，让产业成为强村富民的坚实支撑；在融合上求突破，让农村成为宜居宜业的向往之地；在要素上聚合力，让乡村成为近悦远来的美好家园。希望社会各界继续关心支持青浦“三农”事业发展，共同描绘丰收中国的绚烂图景。\n\n金俊峰表示，青浦区农业底蕴深厚、生态资源优越，形成了“一粒米、一棵菜、一枚果、一条鱼、一朵花”的特色农产品体系，智慧农业广泛应用，“蛙稻共生”等生态种养模式全国示范。上海市农业科学院与青浦区的合作由来已久、根基深厚，共建了6个专家工作站、23个乡村振兴示范基地，共同承担多项市科技兴农项目，合作成果充分彰显了院区合作的巨大潜力。上海市农业科学院将继续围绕青浦区农业高质量发展需求和水域生态保护需求，聚焦种业创新、绿色生态、智慧农业、人才培养等重点领域，按照合作协议共同谋划青浦农业科技领域揭榜挂帅项目，构建“政产学研用”一体化合作机制，共同推动农业科技成果在青浦落地生根、开花结果。\n\n![Image 3](http:\u002F\u002Fqqpublic.qpic.cn\u002Fqq_public\u002F0\u002F28-3388277964-929813C8BC883A06E40E327780297E35\u002F0?fmt=jpg&size=136&h=853&w=1280&ppv=1)\n\n现场，王平、金俊峰、李忠兴、赵志辉、姚训、郁梦娴共同启动2026年中国农民丰收节青浦区主题活动。活动中，上海市农业科学院与青浦区人民政府签署院区合作框架协议，未来，双方将进一步合力推动青浦区农业科技创新，为青浦打造长三角生态绿色一体化发展示范区农业科技高地的目标赋能。\n\n活动上，中国农业银行上海长三角一体化示范区支行为三家农企授信2350万元，“惠农e贷”以数据赋能，信用额度最高可达千万元，用“真金白银”精准滴灌“六业”融合与农业科技发展。\n\n![Image 4](http:\u002F\u002Fqqpublic.qpic.cn\u002Fqq_public\u002F0\u002F28-1228375471-DBBF01696CC29FC20AA981B366F3AF16\u002F0?fmt=jpg&size=172&h=853&w=1280&ppv=1)\n\n活动现场，一部以青浦区农业“双创”带头人为原型的原创情景剧首演。该剧通过艺术化的表现手法，生动再现了新农人扎根乡土、创新创业的奋斗历程，展现了新时代青年投身乡村振兴的精神风貌。演员们精湛的表演与真挚的情感引发现场观众共鸣，赢得了阵阵掌声。\n\n![Image 5](http:\u002F\u002Fqqpublic.qpic.cn\u002Fqq_public\u002F0\u002F28-4255530174-E1AD0E8CC335D8A713B75225D41BE54B\u002F0?fmt=png&size=1242&h=911&w=1366&ppv=1)\n\n在“最江南趣青浦”旅游路线推介环节，赵巷镇、重固镇、朱家角镇、练塘镇、金泽镇的推介官分别展示了五镇农文商旅体展“六业”融合发展的“青浦样本”。\n\n![Image 6](http:\u002F\u002Fqqpublic.qpic.cn\u002Fqq_public\u002F0\u002F28-4015597269-55BD241CB72635BA70D4B23022D1C268\u002F0?fmt=jpg&size=237&h=853&w=1280&ppv=1)\n\n场外，“‘六业’融合·乐享市集”人声鼎沸，主播探店、农产品展销与图片直播交织。丰收的喜悦，从田间地头流淌进城市的烟火日常。\n\n记者：李双玖（名优）\n\n摄影：周于成（首席）\n\n编辑：彭乙茂\n\n责任编辑：孙晨（首席）\n\n终审：张婧\n\n转载请注明来自“绿色青浦”官方微信","腾讯搜一搜 2026年09月23日",61,{"impact":74,"substance":172,"depth":173,"authority":108,"freshness":13,"relevant":20,"comment":174},16,12,"地方丰收节活动叠加院区合作签约与农行授信，属区域农业科技动态，时效性强但影响层级有限。",[176],{"name":169,"url":166},[25,178,179,180,181],"院区合作","农业科技","丰收节","惠农e贷",[183,184],"上海市农业科学院 青浦区 院区合作","青浦区 丰收节 农业科技","上海市农业科学院青浦区院区合作-3307","2026-09-24T00:03:59.915865Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":9,"content":9,"source_name":192,"source_url":9,"published_at":193,"category":146,"cover_url":9,"hotness":13,"is_selected":14,"score":194,"score_detail":195,"sources":198,"tags":200,"search_phrases":204,"slug":207,"view_count":34,"doi":9,"paper":9,"created_at":208},3293,"百千万村播矩阵工程见行见效 数字兴农走出振兴新路——赤峰市克什克腾旗202个村播账号600余条短视频260万元线上销售额","https:\u002F\u002Fwww.nmg.news.cn\u002F20260918\u002F50bf896a140f473081d4e7c714a1e25f\u002Fc.html","内蒙古赤峰市克什克腾旗深入学习运用千万工程经验，创新实施百千万村播矩阵工程。工程启动以来，全旗梯次推进、全域联动：全旗嘎查村(社区)党组织书记完成首批短视频拍摄常态化围绕产业、政策出镜；驻村第一书记、村两委成员、致富带头人等千名骨干加入；旗级举办2期干部直播专题培训班，覆盖600余人次；全旗已开设村播账号202个，发布短视频600余条；全旗村播骨干已累计开播300余场，线上销售额突破260万元；构建旗级统筹、苏木乡镇主抓、嘎查村落实的1+13+145三级联动格局。","新华网内蒙古频道 2026年09月18日","2026-09-18T00:00:00Z",64,{"impact":172,"substance":17,"depth":19,"authority":173,"freshness":196,"relevant":20,"comment":197},5,"县域村播矩阵工程的实操性报道，数据具体、三级联动机制清晰，对数字乡村与农村电商主题有聚合价值，但属地方动态、时效稍旧。",[199],{"name":192,"url":190},[201,80,202,25,203],"农村电商","内蒙古","村播矩阵",[205,206],"克什克腾旗 村播矩阵","内蒙古 村播 线上销售","克什克腾旗村播矩阵-3293","2026-09-24T00:03:57.164047Z",{"id":210,"title":211,"url":212,"summary":213,"summary_zh":214,"content":9,"source_name":10,"source_url":212,"published_at":215,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":147,"score_detail":216,"sources":218,"tags":220,"search_phrases":223,"slug":226,"view_count":34,"doi":227,"paper":228,"created_at":244},3265,"Factors associated with farmers’ multidimensional participation in e-commerce","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1936130","Introduction As an important ICT-enabled business model, rural e-commerce has attracted growing attention, yet existing studies predominantly focus on binary adoption while overlooking heterogeneity in farmers’ participation depth, participation breadth, and platform choice. This study examines the multidimensional characteristics of farmers’ e-commerce participation. Methods Using data from 2,508 farm households in the 2020 China Rural Revitalization Survey, this study examines factors associated with four dimensions of e-commerce participation and uses ISM to identify the hierarchy of factors associated with participation decisions. Results (1) E-commerce training is positively associated with participation decision, depth, and breadth and with the probabilities of choosing social and traditional e-commerce. The household head’s education is positively associated with participation decision, depth, and breadth and negatively associated with the probability of remaining offline. In contrast, age is negatively associated with participation decision and depth and with the probabilities of choosing social and traditional e-commerce. (2) Cultivated land area is positively associated with participation decision and depth and with the probabilities of choosing social and traditional e-commerce. Organizational participation is positively associated with participation decision and depth, while average household education is positively associated with participation decision, depth, and breadth. Village e-commerce service stations are positively associated with participation decision and depth and with the probability of choosing social e-commerce. Local non-farm industrial development is positively associated only with participation breadth. (3) Within the ISM hierarchy of factors associated with participation decisions, e-commerce training is identified as a surface direct factor; organizational participation and village e-commerce service stations as shallow indirect factors; cultivated land area and average household education as middle-level indirect factors; and the household head’s age and education as deep-seated root factors. Discussion These findings demonstrate the multidimensional nature of farmers’ e-commerce participation and show that the same factor may have differentiated associations across dimensions. Policies should therefore shift from general encouragement to dimension-specific support through targeted training, organizational services, village e-commerce facilities, resource matching, and locally adapted industrial support.","引言 作为信息通信技术赋能的重要商业模式，农村电商日益受到关注，但现有研究多聚焦于二元采纳，忽视了农户参与深度、参与广度和平台选择方面的异质性。本研究考察农户电商参与的多维特征。方法 利用2020年中国乡村振兴调查中2508户农户的数据，本研究考察电商参与四个维度的相关因素，并运用ISM识别参与决策相关因素的层级结构。结果 （1）电商培训与参与决策、参与深度和参与广度呈正相关，且与选择社交电商和传统电商的概率呈正相关。户主受教育程度与参与决策、参与深度和参与广度呈正相关，与保持线下的概率呈负相关。相反，年龄与参与决策和参与深度呈负相关，且与选择社交电商和传统电商的概率呈负相关。（2）耕地面积与参与决策和参与深度呈正相关，且与选择社交电商和传统电商的概率呈正相关。组织参与与参与决策和参与深度呈正相关，而家庭平均受教育程度与参与决策、参与深度和参与广度呈正相关。村级电商服务站与参与决策和参与深度呈正相关，且与选择社交电商的概率呈正相关。本地非农产业发展仅与参与广度呈正相关。（3）在参与决策相关因素的ISM层级结构中，电商培训被识别为表层直接因素；组织参与和村级电商服务站为浅层间接因素；耕地面积和家庭平均受教育程度为中层间接因素；户主年龄和受教育程度为深层根源因素。讨论 这些发现表明农户电商参与的多维性质，并显示同一因素在不同维度上可能具有差异化关联。因此，政策应从普遍鼓励转向通过针对性培训、组织服务、村级","2026-09-22T00:00:00Z",{"impact":172,"substance":18,"depth":17,"authority":19,"freshness":108,"relevant":20,"comment":217},"基于2508户全国调查数据，揭示农户电商参与的多维异质性及ISM因素层级，对数字乡村政策有实证参考价值。",[219],{"name":10,"url":212},[201,80,25,221,222],"电商培训","农户参与",[224,225],"中国乡村振兴调查 农村电商","农户 电商参与 多维","中国乡村振兴调查农村电商-3265","10.3389\u002Ffsufs.2026.1936130",{"doi":227,"openalex_id":229,"authors":230,"venue":10,"cited_by_count":34,"oa_url":212,"card":239,"direction":56,"ingested_from":58},"W7214016500",[231,233,235,237],{"name":232,"orcid":9},"Mingyang Yin",{"name":234,"orcid":9},"Zhengyin Li",{"name":236,"orcid":9},"Juan Xie",{"name":238,"orcid":9},"Yan Yan",{"tldr":240,"method":241,"finding":242,"direction":56,"opportunity":243},"基于2508户调查数据，分析农户电商参与决策、深度、广度和平台选择的多维影响因素。","2020中国乡村振兴调查数据，ISM解释结构模型分析影响因素层级。","电商培训、教育、耕地面积等对参与各维度影响不同，年龄和教育是深层根源因素。","可探究不同参与维度对农户收入与福利的差异化影响，以及平台选择的行为机制。","2026-09-23T23:30:07.352722Z"]