[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5465":3,"related-5465":111},{"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":39,"search_phrases":71,"slug":74,"view_count":75,"doi":76,"paper":77,"created_at":110},5465,"Empowering geographical indications through technology: the rise of Yangyuan mung bean as a local pillar industry in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1714667","Geographical Indications (GIs) are conducive to industrial development and the increase in farmers’ income, while technological innovation serves as the core driving force for GIs development. This study adopts an inductive single-case research method, taking mung beans from Yangyuan County, China, as a case, to analyze the mechanisms through which technological innovation promotes the development of GIs and drives farmers toward prosperity. The research findings are as follows: First, the process of technological innovation promoting brand development and driving farmers toward common prosperity evolves along the path of “specialty products enriching farmers—innovation boosting income—premium sharing.” Second, the promotion of GIs development by technological innovation exhibits stage-specific characteristics. During the incipient phase, technology empowered industrial development and GIs establishment, creating more varied channels for increasing rural income; in the growth phase, technological innovation enhanced the stability of the industrial chain and brand premium, increasing growers’ income by 9,150 yuan\u002Fha; in the leapfrog development phase, technological innovation extended the value chain of the Yangyuan Mung Bean brand, enabling farmers to earn 32.08% more income than from unbranded mung beans. Third, GIs fueled by technological innovation help farmers achieve common prosperity in both material and spiritual dimensions.","地理标志有利于产业发展和农民增收，而科技创新是地理标志发展的核心驱动力。本研究采用归纳式单案例研究方法，以中国阳原县绿豆为案例，分析科技创新促进地理标志发展并带动农民致富的机制。研究发现如下：第一，科技创新促进品牌发展并带动农民共同富裕的过程沿“特产富农—创新增收—溢价共享”的路径演进。第二，科技创新对地理标志发展的促进呈现阶段性特征。在萌芽期，技术赋能产业发展和地理标志创建，拓宽了农村增收渠道；在成长期，科技创新增强了产业链稳定性和品牌溢价，使种植户增收9150元\u002F公顷；在跨越发展期，科技创新延伸了阳原绿豆品牌的价值链，使农民收入比无品牌绿豆高出32.08%。第三，科技创新驱动的地理标志有助于农民在物质和精神两个层面实现共同富裕。",null,"Frontiers in Sustainable Food Systems","2026-10-20T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,21,18,13,9,1,"以阳原绿豆为单案例，量化技术创新对地理标志产业与农户增收的分阶段效应，结论具体、数据可引，但属县域单案例，影响层级有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农民增收","地理标志","农业科技","小杂粮","品牌溢价",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,52,58,65],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":51},7,true,[],[27,50],"rural 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Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0357-3600",{"name":99,"orcid":9},"Dongxu Xu",{"name":101,"orcid":102},"Hui Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-4883-1642",{"tldr":104,"method":105,"finding":106,"direction":107,"opportunity":108},"以河北阳原绿豆为案例，分析技术创新推动地理标志产业发展并带动农民增收的机制。","采用归纳式单案例研究方法，梳理阳原绿豆产业技术创新的阶段性演进。","技术创新分阶段推动地标品牌发展，跃升期品牌绿豆使农民增收32.08%。","数字乡村与农业信息化","可量化测度不同技术（物联网、溯源、电商）对地标农产品品牌溢价与农户增收的贡献差异。","openalex","2026-10-21T23:30:06.818788Z",{"total":112,"page":22,"page_size":112,"items":113},6,[114,172,227,283,358,409],{"id":115,"title":116,"url":117,"summary":118,"summary_zh":9,"content":9,"source_name":119,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":121,"sources":126,"tags":128,"primary_topic":133,"secondary_topics":134,"classification":135,"search_phrases":159,"slug":162,"view_count":75,"doi":9,"paper":163,"created_at":171},5361,"数智技术与农民增收:基于 31 省 2012-2023 年面板数据的影响效应与作用机制","https:\u002F\u002Ftwnt.fjnyxb.cn\u002F","基于 2012—2023 年 31 个省份面板数据并构建计量回归模型,系统探究数智技术发展对农民增收的影响效应与作用机制。研究发现:数智技术能显著推动农村居民可支配收入提升,结论经多重稳健性检验后依然成立。增收作用通过提升技术成果转化效率、培育粮食新质生产力两条路径实现。数智技术的增收效应存在显著异质性,在数字基础更优的东部地区、产业结构多元的非粮食主产区表现更为突出。DOI: 10.16006\u002Fj.cnki.twnt.2026.04.004。","《台湾农业探索》48(4):37-45 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数智技术","数智技术农民增收-5361",{"doi":9,"openalex_id":9,"authors":164,"venue":9,"cited_by_count":75,"oa_url":9,"card":165,"direction":107,"ingested_from":170},[],{"tldr":166,"method":167,"finding":168,"direction":107,"opportunity":169},"用31省2012-2023年面板数据检验数智技术对农民增收的影响与机制。","31省面板数据，计量回归模型，多重稳健性检验与异质性分析。","数智技术显著提升农民可支配收入，经技术成果转化与粮食新质生产力两条路径实现。","可深入微观农户或县域层面，探究数智技术增收效应的区域异质性成因与数字鸿沟调节作用。","agent","2026-10-20T02:47:54.217965Z",{"id":173,"title":174,"url":175,"summary":176,"summary_zh":9,"content":9,"source_name":177,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":178,"score_detail":179,"sources":183,"tags":185,"primary_topic":190,"secondary_topics":191,"classification":192,"search_phrases":215,"slug":218,"view_count":75,"doi":9,"paper":219,"created_at":226},4971,"'十五五'时期促进农民持续增收的主要难点与政策优化","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F178877.html","李艳(中国社会科学院农村发展研究所)在《当代经济管理》2026年第6期发表的研究指出,提升农民收入是破解发展不平衡不充分问题、推进共同富裕进程的关键抓手。'十四五'期间,农村居民人均可支配收入持续提升,城乡收入差距不断缩小。'十五五'时期促进农民增收仍面临四个难点:转移就业空间狭窄、农民工资性收入提升受限;农业生产经营效益不高、农民经营性收入增长乏力;农村闲置资产盘活难度大、农民财产性收益渠道单一;农村低收入群体增收滞后。提出以新质生产力驱动农村产业升级等总体思路。","《当代经济管理》2026年第6期",75,{"impact":122,"substance":180,"depth":181,"authority":123,"freshness":124,"relevant":22,"comment":182},20,17,"核心期刊论文，系统梳理十五五农民增收四大难点并提出政策思路，专业性与政策参考价值较高，但时效性偏弱。",[184],{"name":177,"url":175},[186,27,187,188,189],"新质生产力","共同富裕","城乡收入差距","乡村富民产业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":193},{"candidates":194,"agricultural_evidence":47},[195,200,205,210],{"code":33,"score":196,"supported":47,"title":197,"abstract":198,"tags":199},5,[],[27],[27,188],{"code":37,"score":60,"supported":47,"title":201,"abstract":202,"tags":204},[],[203],"农村发展",[],{"code":206,"score":22,"supported":14,"title":207,"abstract":208,"tags":209},"G4",[],[],[187],{"code":211,"score":22,"supported":14,"title":212,"abstract":213,"tags":214},"J2",[],[],[186],[216,217],"当代经济管理 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农村电商直接带动农民增收的三条路径","https:\u002F\u002Fso.html5.qq.com\u002Fpage\u002Freal\u002Fsearch_news?docid=70000021_8246ac795b854952","农业农村部信息中心郁跃伟、崔阳阳联合撰文指出，2025年农产品网络零售额达7833.1亿元、同比增长9.9%，头部电商平台全年助农直播超400万场、农村网商数达2007.4万家，2026年一季度农村网络零售额同比增长11.0%、农产品网络零售额同比增长14.7%；农村电商直接带动农民增收的三条路径——优化就业结构、促进产业结构调整、数字金融普惠；三条路径相互交织、彼此强化使农民集生产者、销售者、服务者、创业者等角色于一身。","农业农村部信息中心 郁跃伟 崔阳阳 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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。","2026-09-23T00:00:00Z",81,{"impact":19,"substance":122,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":292},"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。",[294],{"name":10,"url":286},[296,27,297,298,188],"乡村振兴","农业产业化","订单农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":302},{"candidates":303,"agricultural_evidence":47},[304,308,314,319,323,327],{"code":33,"score":196,"supported":47,"title":305,"abstract":306,"tags":307},[],[50],[27,188],{"code":309,"score":60,"supported":47,"title":310,"abstract":311,"tags":313},"G2",[],[312],"smallholder",[],{"code":59,"score":60,"supported":47,"title":315,"abstract":316,"tags":318},[],[317],"空间计量",[],{"code":53,"score":22,"supported":14,"title":320,"abstract":321,"tags":322},[],[],[298],{"code":37,"score":22,"supported":14,"title":324,"abstract":325,"tags":326},[],[],[296],{"code":206,"score":22,"supported":14,"title":328,"abstract":329,"tags":330},[],[],[298],[332,333],"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","10.3389\u002Ffsufs.2026.1946413",{"doi":335,"openalex_id":337,"authors":338,"venue":10,"cited_by_count":75,"oa_url":286,"card":352,"direction":107,"ingested_from":109},"W7214061483",[339,341,344,346,349],{"name":340,"orcid":9},"Zhengyue Shen",{"name":342,"orcid":343},"Tingting Liu","https:\u002F\u002Forcid.org\u002F0000-0002-0619-6601",{"name":345,"orcid":9},"Bingnan Guo",{"name":347,"orcid":348},"Ning Ding","https:\u002F\u002Forcid.org\u002F0000-0001-5618-6359",{"name":350,"orcid":351},"Jing Cheng","https:\u002F\u002Forcid.org\u002F0000-0001-9920-7842",{"tldr":353,"method":354,"finding":355,"direction":107,"opportunity":356},"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。","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。","2026-09-23T23:30:06.784830Z",{"id":359,"title":360,"url":361,"summary":362,"summary_zh":363,"content":9,"source_name":10,"source_url":361,"published_at":364,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":365,"score_detail":366,"sources":369,"tags":371,"primary_topic":374,"secondary_topics":375,"classification":376,"search_phrases":391,"slug":394,"view_count":196,"doi":395,"paper":396,"created_at":408},2409,"The digital technology and income inequality: evidence from micro data in rural China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1937169","The digital technology revolution boosts residents’ income while creating income inequality mechanisms. Reducing rural income inequality (RII) is a global major challenge. With wider technology access, e-commerce greatly impacts narrowing RII, yet few studies explore how e-commerce affects RII. Taking China’s rural e-commerce (RE) development as a case, this study analyzes the digital economy’s impact on RII and its mechanisms. Findings show RE development increases income but widens the income inequality gap: high-income farmers benefit more from RE’s income-generating effects, enlarging the income gap between high- and low-income households in both agricultural and non-agricultural sectors. Improving rural road and broadband infrastructure, selecting better-educated village managers with out-of-home work experience, upgrading household network conditions, and providing digital skill training for low-income farmers can mitigate RE’s effect of widening RII. The government can reduce RII by encouraging cross-regional collaboration of e-commerce enterprises, upgrading village infrastructure, narrowing the human capital gap among village managers, and expanding digital technology application among low-income farmers.","数字技术革命在提升居民收入的同时，也催生了收入不平等的机制。缩小农村收入不平等(RII)是一项全球性重大挑战。随着技术可及性的扩大，电子商务对缩小RII产生了显著影响，然而探讨电子商务如何影响RII的研究却为数不多。本研究以中国农村电子商务(RE)发展为案例，分析了数字经济对RII的影响及其作用机制。研究发现，农村电子商务的发展虽然提高了收入，却扩大了收入不平等差距：高收入农户从电子商务的增收效应中获益更多，从而拉大了农业和非农业部门中高收入与低收入家庭之间的收入差距。改善农村道路和宽带基础设施、选拔具有外出务工经历且受教育程度较高的村级管理者、提升家庭网络条件，以及为低收入农户提供数字技能培训，均能缓解电子商务扩大RII的效应。政府可以通过鼓励电子商务企业跨区域合作、升级村庄基础设施、缩小村级管理者之间的人力资本差距，以及扩大数字技术在低收入农户中的应用，来缩小RII。","2026-09-13T00:00:00Z",78,{"impact":19,"substance":122,"depth":181,"authority":20,"freshness":367,"relevant":22,"comment":368},8,"基于中国农村微观数据的实证研究，揭示电商增收同时扩大收入差距的机制及缓解路径，对数字乡村政策有参考价值。",[370],{"name":10,"url":361},[241,129,372,27,373],"数字素养","收入差距",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":377},{"candidates":378,"agricultural_evidence":47},[379,383,387],{"code":33,"score":54,"supported":47,"title":380,"abstract":381,"tags":382},[],[50],[27],{"code":155,"score":124,"supported":14,"title":384,"abstract":385,"tags":386},[],[],[129,372],{"code":53,"score":22,"supported":14,"title":388,"abstract":389,"tags":390},[],[],[241],[392,393],"农村电商 农民增收 收入差距 数字乡村","农村电商 农民增收","农村电商农民增收收入差距数字乡村-2409","10.3389\u002Ffsufs.2026.1937169",{"doi":395,"openalex_id":397,"authors":398,"venue":10,"cited_by_count":75,"oa_url":361,"card":403,"direction":107,"ingested_from":109},"W7212439542",[399,401],{"name":400,"orcid":9},"Zeyun Zhong",{"name":402,"orcid":9},"Hua Lu",{"tldr":404,"method":405,"finding":406,"direction":107,"opportunity":407},"基于中国农村电商微观数据，分析数字技术对农村收入不平等的影响及机制。","中国农村电商微观数据，实证分析收入差距及调节因素。","电商增收但扩大收入差距，高收入农户获益更多；基建、教育、培训可缓解。","可探究数字技能培训对低收入农户的精准干预效果及长期收入分配动态。","2026-09-14T23:30:06.575473Z",{"id":410,"title":411,"url":412,"summary":413,"summary_zh":9,"content":9,"source_name":414,"source_url":9,"published_at":415,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":416,"score_detail":417,"sources":419,"tags":421,"primary_topic":424,"secondary_topics":429,"classification":436,"search_phrases":455,"slug":458,"view_count":60,"doi":9,"paper":459,"created_at":466},2403,"乡村治理数字化对农民增收的影响研究——基于县域数字乡村指数与CFPS微观调查数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127622.html","统计与决策2026年第02期。付莎、王军将《县域数字乡村指数》和CFPS微观调查数据进行匹配，实证探究乡村治理数字化对农民增收的影响。结果表明：乡村治理数字化有助于促进农民增收，具有益贫效应（在农村未接入互联网和低收入群体中增收效应更强）；通过提高农民数字素养、提升农民对本地官员的信任度来促进农民增收；对高学历农民的增收效应更显著。","统计与决策 | 2026-09-09","2026-09-09T00:00:00Z",76,{"impact":19,"substance":122,"depth":19,"authority":20,"freshness":196,"relevant":22,"comment":418},"核心期刊实证研究，将县域数字乡村指数与CFPS微观数据匹配，揭示乡村治理数字化的益贫效应与信任机制，对数字乡村政策有参考价值。",[420],{"name":414,"url":412},[129,422,372,27,423],"乡村治理","县域经济",{"code":155,"slug":425,"name":426,"path":427,"parent_code":428},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[430,435],{"code":431,"slug":432,"name":433,"path":434,"parent_code":37},"G5","rural-governance","乡村治理与人才","\u002Ftopic\u002Frural-services\u002Frural-governance",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":437},{"candidates":438,"agricultural_evidence":47},[439,443,447,451],{"code":155,"score":20,"supported":47,"title":440,"abstract":441,"tags":442},[129],[129],[129,372],{"code":431,"score":139,"supported":47,"title":444,"abstract":445,"tags":446},[422],[422],[422],{"code":33,"score":139,"supported":47,"title":448,"abstract":449,"tags":450},[27],[27],[27],{"code":206,"score":22,"supported":14,"title":452,"abstract":453,"tags":454},[],[],[423],[456,457],"乡村治理 农民增收 县域经济 数字乡村","乡村治理 农民增收","乡村治理农民增收县域经济数字乡村-2403",{"doi":9,"openalex_id":9,"authors":460,"venue":9,"cited_by_count":75,"oa_url":9,"card":461,"direction":107,"ingested_from":170},[],{"tldr":462,"method":463,"finding":464,"direction":107,"opportunity":465},"匹配县域数字乡村指数与CFPS数据，实证检验乡村治理数字化对农民增收的影响。","县域数字乡村指数与CFPS微观调查数据匹配，实证回归分析。","乡村治理数字化促进农民增收且具益贫效应，通过提升数字素养与官员信任实现。","可探究治理数字化益贫效应的长期动态及不同治理场景下的异质性机制。","2026-09-14T00:06:33.536950Z"]