[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3319":3,"related-3319":46},{"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":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":8,"paper":36,"created_at":45},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。",null,"《华东经济管理》2026年09月20日 网络首发","2026-09-20T00:00:00Z","论文",10,false,86,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,23,19,14,8,1,"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。",[24],{"name":9,"url":6},[26,27,28,29,30],"数字乡村","农民增收","城乡收入差距","县域共同富裕","国家试点",[32,33],"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",0,{"doi":8,"openalex_id":8,"authors":37,"venue":8,"cited_by_count":35,"oa_url":8,"card":38,"direction":42,"ingested_from":44},[],{"tldr":39,"method":40,"finding":41,"direction":42,"opportunity":43},"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。","数字乡村与农业信息化","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",{"total":47,"page":21,"page_size":47,"items":48},6,[49,96,127,154,186,214],{"id":50,"title":51,"url":52,"summary":53,"summary_zh":54,"content":8,"source_name":55,"source_url":52,"published_at":56,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":57,"score_detail":58,"sources":62,"tags":64,"search_phrases":68,"slug":71,"view_count":35,"doi":72,"paper":73,"created_at":95},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。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",81,{"impact":59,"substance":16,"depth":59,"authority":60,"freshness":12,"relevant":21,"comment":61},18,13,"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。",[63],{"name":55,"url":52},[65,27,66,67,28],"乡村振兴","农业产业化","订单农业",[69,70],"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":72,"openalex_id":74,"authors":75,"venue":55,"cited_by_count":35,"oa_url":52,"card":89,"direction":42,"ingested_from":94},"W7214061483",[76,78,81,83,86],{"name":77,"orcid":8},"Zhengyue Shen",{"name":79,"orcid":80},"Tingting Liu","https:\u002F\u002Forcid.org\u002F0000-0002-0619-6601",{"name":82,"orcid":8},"Bingnan Guo",{"name":84,"orcid":85},"Ning Ding","https:\u002F\u002Forcid.org\u002F0000-0001-5618-6359",{"name":87,"orcid":88},"Jing Cheng","https:\u002F\u002Forcid.org\u002F0000-0001-9920-7842",{"tldr":90,"method":91,"finding":92,"direction":42,"opportunity":93},"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。","openalex","2026-09-23T23:30:06.784830Z",{"id":97,"title":98,"url":99,"summary":100,"summary_zh":8,"content":8,"source_name":101,"source_url":8,"published_at":102,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":103,"score_detail":104,"sources":108,"tags":110,"search_phrases":114,"slug":117,"view_count":35,"doi":118,"paper":119,"created_at":126},3004,"数字乡村建设赋能农民增收的影响研究——基于2014—2023年30个省份面板数据","https:\u002F\u002Fjxnyxb.xml-journal.net\u002Fcn\u002Farticle\u002Fpdf\u002Fpreview\u002F10.19386\u002Fj.cnki.jxnyxb.2026.04.016.pdf","延安大学白如钰等基于2014—2023年中国30个省份的面板数据采用双向固定效应模型实证分析数字乡村建设对农民增收的影响机制。研究表明：数字乡村建设通过优化要素配置显著驱动农民增收，从各个维度看乡村服务数字化的促进作用最强，增收效应在东部地区和高收入农民群体中更强；中介效应检验表明通过促进农村人力资本和农业劳动生产率的提升驱动农民收入增加；门槛检验显示农村人力资本水平对农民增收具有显著的单门槛效应。","江西农业学报2026,38(4):124-132","2026-09-14T00:00:00Z",79,{"impact":59,"substance":16,"depth":105,"authority":60,"freshness":106,"relevant":21,"comment":107},17,9,"基于30省十年面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文，公共传播性有限。",[109],{"name":101,"url":99},[26,27,111,112,113],"面板数据","农村人力资本","农业劳动生产率",[115,116],"延安大学 数字乡村 农民增收","数字乡村建设 农村人力资本 门槛效应","延安大学数字乡村农民增收-3004","10.19386\u002Fj.cnki.jxnyxb.2026.04.016.pdf",{"doi":118,"openalex_id":8,"authors":120,"venue":8,"cited_by_count":35,"oa_url":8,"card":121,"direction":42,"ingested_from":44},[],{"tldr":122,"method":123,"finding":124,"direction":42,"opportunity":125},"基于30省面板数据实证检验数字乡村建设对农民增收的影响机制。","2014—2023年30省面板数据，双向固定效应模型与中介、门槛检验。","数字乡村建设通过优化要素配置显著促增收，乡村服务数字化作用最强，东部及高收入群体效应更大。","可深入探究数字乡村各维度对低收入群体的差异化增收路径及数字鸿沟的调节作用。","2026-09-20T00:03:08.481097Z",{"id":128,"title":129,"url":130,"summary":131,"summary_zh":8,"content":8,"source_name":55,"source_url":8,"published_at":102,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":132,"score_detail":133,"sources":136,"tags":138,"search_phrases":141,"slug":144,"view_count":35,"doi":145,"paper":146,"created_at":153},2856,"数字技术与农村收入不平等:来自中国微观数据的证据——Frontiers in Sustainable Food Systems","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1937169\u002Fabstract","基于中国微观数据,论文探讨了数字技术应用与农村收入不平等之间的关系。研究发现,数字技术应用(尤其是电子商务)对农村收入差距的影响存在异质性,与人力资本、农村基础设施水平等条件密切相关。",77,{"impact":59,"substance":134,"depth":105,"authority":60,"freshness":20,"relevant":21,"comment":135},21,"基于中国微观数据实证数字技术与农村收入不平等的关系，结论具政策参考价值，但属学术论文且时效略滞后，可入精选。",[137],{"name":55,"url":130},[139,26,27,140],"农村电商","数字鸿沟",[142,143],"农村电商 农民增收 数字乡村 数字鸿沟","农村电商 农民增收","农村电商农民增收数字乡村数字鸿沟-2856","10.3389\u002Ffsufs.2026.1937169\u002Fabstract",{"doi":145,"openalex_id":8,"authors":147,"venue":8,"cited_by_count":35,"oa_url":8,"card":148,"direction":42,"ingested_from":44},[],{"tldr":149,"method":150,"finding":151,"direction":42,"opportunity":152},"基于中国微观数据，研究数字技术应用与农村收入不平等的关系。","中国微观数据，分析数字技术（尤其电商）对收入差距的影响。","数字技术对农村收入差距影响异质，与人力资本和基础设施水平相关。","可探究数字技术缩小收入差距的阈值条件及不同区域异质性机制。","2026-09-18T00:03:30.921679Z",{"id":155,"title":156,"url":157,"summary":158,"summary_zh":159,"content":8,"source_name":55,"source_url":157,"published_at":160,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":161,"score_detail":162,"sources":164,"tags":166,"search_phrases":169,"slug":171,"view_count":35,"doi":172,"paper":173,"created_at":185},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":59,"substance":16,"depth":105,"authority":60,"freshness":20,"relevant":21,"comment":163},"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。",[165],{"name":55,"url":157},[139,26,167,27,168],"数字素养","收入差距",[170,143],"农村电商 农民增收 收入差距 数字乡村","农村电商农民增收收入差距数字乡村-2409","10.3389\u002Ffsufs.2026.1937169",{"doi":172,"openalex_id":174,"authors":175,"venue":55,"cited_by_count":35,"oa_url":157,"card":180,"direction":42,"ingested_from":94},"W7212439542",[176,178],{"name":177,"orcid":8},"Zeyun Zhong",{"name":179,"orcid":8},"Hua Lu",{"tldr":181,"method":182,"finding":183,"direction":42,"opportunity":184},"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":187,"title":188,"url":189,"summary":190,"summary_zh":8,"content":8,"source_name":191,"source_url":8,"published_at":192,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":193,"score_detail":194,"sources":196,"tags":198,"search_phrases":202,"slug":205,"view_count":21,"doi":8,"paper":206,"created_at":213},2405,"信息基础设施建设与农民共同富裕：来自中国地级市面板数据的证据","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260909171624823.htm","Sage Open。基于2010-2024年中国252个地级市面板数据，实证分析信息基础设施建设如何影响农民共同富裕。研究显示信息基础设施建设显著有助于提升农民共同富裕水平；异质性分析表明在市场化程度较高的地区正向效应更为明显，地形复杂地区效应显著减弱。机制分析揭示农村创业活力和产业结构升级是重要传导通道。门槛效应分析证实双重门槛特征。","Sage Open | 2026-09-09","2026-09-09T00:00:00Z",76,{"impact":59,"substance":16,"depth":105,"authority":60,"freshness":47,"relevant":21,"comment":195},"基于252个地级市十年面板数据的实证研究，机制与门槛分析扎实，对数字乡村政策有参考价值，但属学术论文且时效性一般。",[197],{"name":191,"url":189},[26,27,199,200,201],"共同富裕","信息基础设施","农村创业",[203,204],"信息基础设施 共同富裕 农村创业 农民增收","信息基础设施 共同富裕","信息基础设施共同富裕农村创业农民增收-2405",{"doi":8,"openalex_id":8,"authors":207,"venue":8,"cited_by_count":35,"oa_url":8,"card":208,"direction":42,"ingested_from":44},[],{"tldr":209,"method":210,"finding":211,"direction":42,"opportunity":212},"基于252个地级市面板数据，实证检验信息基础设施对农民共同富裕的影响及机制。","2010-2024年地级市面板数据，固定效应、异质性、机制与门槛回归。","信息基础设施显著促进农民共同富裕，市场化高地效应更强，地形复杂区减弱，创业与产业升级为通道。","可探究信息基础设施对农户内部收入差距的非线性影响及数字鸿沟的调节作用。","2026-09-14T00:06:33.691383Z",{"id":215,"title":216,"url":217,"summary":218,"summary_zh":8,"content":8,"source_name":219,"source_url":8,"published_at":192,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":193,"score_detail":220,"sources":223,"tags":225,"search_phrases":228,"slug":231,"view_count":35,"doi":8,"paper":232,"created_at":239},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",{"impact":59,"substance":16,"depth":59,"authority":60,"freshness":221,"relevant":21,"comment":222},5,"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。",[224],{"name":219,"url":217},[26,226,167,27,227],"乡村治理","县域经济",[229,230],"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":8,"openalex_id":8,"authors":233,"venue":8,"cited_by_count":35,"oa_url":8,"card":234,"direction":42,"ingested_from":44},[],{"tldr":235,"method":236,"finding":237,"direction":42,"opportunity":238},"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"]