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城乡融合","数字资本下乡城郊村-4864",{"doi":8,"openalex_id":8,"authors":118,"venue":8,"cited_by_count":66,"oa_url":8,"card":119,"direction":73,"ingested_from":75},[],{"tldr":120,"method":121,"finding":122,"direction":73,"opportunity":123},"基于浙江两城郊村案例，揭示数字资本下乡推动城乡融合的兴衰辩证逻辑。","浙江Y市两个城郊村的实地案例考察与过程分析。","资本与村民由互利合作转向利益博弈，资本外推带动远郊梯度城镇化。","可量化研究数字资本下乡的阶段性阈值与冲突预警机制，探索梯度循环的可持续治理路径。","2026-10-14T00:04:12.748173Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":8,"content":130,"source_name":131,"source_url":8,"published_at":132,"category":133,"cover_url":8,"hotness":12,"is_selected":41,"score":134,"score_detail":135,"sources":139,"tags":141,"primary_topic":145,"secondary_topics":150,"classification":151,"search_phrases":169,"slug":172,"view_count":66,"doi":8,"paper":8,"created_at":173},4623,"专家解读|提升乡村建设信息化水平,助力数字乡村高质量发展新征程","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7694591827630653987\u002F","中央网信办、农业农村部、工信部联合印发的《数字乡村高质量发展行动计划(2026—2030年)》明确十五五乡村建设信息化任务。截至2025年底,全国行政村5G通达率达95%,农村宽带用户2.04亿户,农村网民3.14亿人,农村互联网普及率69.5%,较十三五末提升13.6个百分点;远程医疗网络覆盖全国所有市县,农村中小学校(含教学点)互联网接入率达100%。","“十五五”时期是网络强国建设夯实基础、全面发力的关键时期，也是基本实现农业农村现代化的关键时期。近日，中央网信办、农业农村部、工业和信息化部印发《数字乡村高质量发展行动计划（2026—2030年）》（以下简称《行动计划》），以强农惠农富农为目标，对“十五五”时期数字乡村发展重点任务作出系统部署。乡村建设信息化是数字乡村建设的重点领域和关键环节，是直接关乎农民群众获得感、幸福感、安全感的基础性工程，对推进农村基本具备现代生活条件，激发乡村发展内生动力具有重要作用。\n\n一、把握当前数字乡村发展的新机遇新挑战\n\n近年来，我国数字乡村建设取得显著成效，特别是乡村建设信息化水平大幅提升，乡村基础设施和信息服务加快从“用得上”到“用得起”“用得好”转变，让广大农民群众在信息化发展中有更多获得感、幸福感、安全感。截至2025年底，全国行政村5G通达率已达95%，农村宽带用户总数达2.04亿户；农村网民规模达3.14亿人，农村地区互联网普及率达69.5%，较“十三五”末期提升13.6个百分点；远程医疗服务网络已覆盖全国所有市县，农村中小学校（含教学点）互联网接入率达100%。但对照数字乡村高质量发展的目标，还存在一些短板弱项，距离农民群众对美好生活期待还存在差距，需要加快推进乡村建设信息化，推动数字乡村发展迈上新台阶。\n\n一方面，乡村信息服务的供需适配性还有待提升。农村以及偏远地区的诊疗服务和教育资源分布不平衡、供给不充分现象还较为明显。“一老一小”、残疾人等重点人群的适老化、无障碍数字服务能力不足，乡村数字文化内容形式还较为单一，针对小农户等农业主体的轻量化数字金融产品供给有限，农村生态环境、农村污染源、土地利用的信息化监测水平不高，农村群众和基层干部的数字素养与技能水平还有待提升。另一方面，人工智能快速迭代发展为乡村建设带来宝贵机遇。当前我国大模型产品性能位居全球前列，人形机器人等规模化量产持续加速，智能体应用数量快速增长，推动乡村基础设施和信息服务数字化智能化升级，为乡村建设信息化提供了新动能。\n\n二、充分认识推进乡村建设信息化的重要意义\n\n习近平总书记指出，全面建设社会主义现代化国家，最艰巨最繁重的任务仍在农村。乡村建设信息化关系着数字乡村发展的成效和“底色”，是实现强农惠农富农目标的必由之路，通过充分运用人工智能、大数据、区块链等新一代信息技术，赋能乡村公共服务发展和生态人居环境改善，不断满足农民群众美好生活新期待的重要途径，对于加快数字乡村高质量发展具有重要意义和时代价值。\n\n一是缩小城乡公共服务差距。通过优化和完善信息服务，推动教育、医疗等优质资源下沉覆盖，推动打破城乡资源共享和双向流动壁垒，让农村群众在家门口就能够享受到便利普惠的公共服务，不断提升城乡基本公共服务均等化水平。\n\n二是推进乡村精神文明建设。通过推动乡村数字文化发展，激发乡村本土文化创作人才热情，丰富乡村优秀网络文化作品供给，推动培育文明乡风、良好家风、淳朴民风，满足农村群众对高质量精神文化生活的追求和期盼。同时，数智技术为农耕文化、非遗民俗、古村落遗产等乡村文化资源打造了永久保存与全域传播载体，促进中华优秀农耕文明创造性转化、创新性发展，为乡村文化守住根脉，为故土记忆留住“乡愁”。\n\n三是改善乡村生态人居环境。通过建设完善生态环境监测网络体系，系统部署物联网传感器、遥感监测等设备和智能分析系统，实现对农村生活环境及空气质量等重要指标的实时监测与智能预警，探索农村人居环境管理新模式，推动乡村生态环境治理从“被动响应”向“主动预防”转变。\n\n三、聚焦重点方向推进乡村建设信息化\n\n《行动计划》明确，“十五五”时期要聚焦乡村数字教育、乡村数字健康、重点人群信息服务保障、乡村普惠金融、乡村数字文化、智慧美丽乡村等重点方向，构建深度覆盖、普惠便捷、协同高效的乡村建设信息化体系，加速补齐系统性短板，释放数字惠民效能。\n\n一是提升乡村数字教育水平。农村和偏远地区的义务教育水平还存在薄弱环节，教育资源面临着供给不足的局面。要通过充分利用国家中小学智慧教育平台等平台资源，持续扩大优质教育资源的覆盖范围，推动优质课程向农村、偏远地区延伸。要合理利用人工智能等技术赋能乡村课堂教学，支持有条件的乡村学校部署智能教育终端、教育智能体等。要实施数字化赋能教师发展行动，常态化开展农村教师数字素养与技能培训，全面提升农村教师数字化教学能力。\n\n二是提升乡村数字健康服务水平。我国大量优质医疗资源还集中在县级以上行政区域，乡村医疗资源面临着人才、设备、运营、能力等结构性短板。同时，随着我国农村人口老龄化加剧，对长期慢病管理、康复护理、老年健康服务需求快速增长。要推进紧密型县域医共体信息化建设，打通县、乡、村三级医疗机构数据壁垒，提升医疗资源联动共享水平。要推广人工智能在乡村医疗服务中的应用，完善远程会诊、慢病管理线上服务网络，优化农村医保智能终端配置，促进医疗资源加速下沉。\n\n三是提升重点人群信息服务水平。我国农村还存在大量老年人和留守儿童，在数字接入服务、使用习惯等方面需求差异较大，需要乡村信息服务具备更强的包容性。要充分运用信息技术强化这些重点人群主动发现和精准救助能力，更好打通民政、医保、残联、养老等数据渠道，深入推进政务、医疗、金融、文化等各类数字服务的适老化、无障碍改造，建设更有温度的乡村信息服务体系。\n\n四是提升乡村数字普惠金融服务水平。小农户、新型农业经营主体等乡村经济“毛细血管”普遍面临融资难、融资贵、风控弱等问题，传统金融服务在覆盖广度和响应速度上难以满足其灵活、小额、高频的需求。要积极开展政银企农融资对接，引导金融机构立足农业生产周期、农户经营规模创新数字信贷、保险等产品，开发特色农业保险、农产品价格保险等适配农村经济活动特征和居民需求的产品，推动数字技术在农业保险全流程中的应用，提升农村普惠金融服务覆盖和使用水平。\n\n五是提升乡村数字文化发展水平。当前，乡村数字文化内容和渠道还较为缺乏，乡村文化活力还有待释放。要积极扶持“三农”题材的优秀网络文化作品创作，加快培育乡村本土文化创作人才队伍，激发网络文化作品创作活力。要提升乡村文化场所数字化应用水平，发挥县级融媒体中心等作用，打造乡村数字传播矩阵，拓宽乡土文化线上传播和优质文化资源下沉渠道。要开展农村文物资源、非遗传承人等数字化建档，推动非遗资源与数字文旅、乡村旅游深度融合，以数字技术传承和创新利用乡土文化资源。\n\n六是提升智慧美丽乡村建设水平。当前，一些地区乡村人居环境治理还存在监测手段粗放、管理响应滞后、运维机制不健全等问题，难以满足宜居宜业和美乡村建设要求。要推动构建“天空地海”一体化生态环境监测网络体系，强化农村污染源监测评估，支撑自然资源开发利用和生态保护修复工作，推动解决农村生态环境污染问题。要健全人居环境问题在线受理与响应机制，优化供水水质监测体系，推进生活污水设施数字化改造升级，梳理农房相关信息数据，持续改善农村人居环境。\n\n当前，我国数字乡村加快迈向高质量发展阶段。要立足乡村实际、坚持因地制宜、分类施策，提升乡村建设信息化水平，充分发挥以人工智能为代表的新一代信息技术作用，更好赋能乡村生产、生活和治理方式转型升级，推动农村基本具备现代生活条件，不断满足农民群众对美好生活的新期待，奋力书写数字乡村高质量发展新篇章，为全面推进乡村振兴、加快农业农村现代化注入持久数字力量。\n\n作者：王 江 中国网络空间研究院院长","闪电新闻\u002F中国网信网 2026-10-09","2026-10-09T00:00:00Z","报道",92,{"impact":136,"substance":17,"depth":18,"authority":40,"freshness":137,"relevant":21,"comment":138},28,8,"中央三部门联合印发数字乡村五年行动计划，含5G通达率95%等关键数据与六大重点方向，权威性与信息增量俱佳，值得进入每日精选。",[140],{"name":131,"url":128},[26,142,27,143,144],"农业人工智能","乡村建设信息化","智慧美丽乡村",{"code":39,"slug":146,"name":147,"path":148,"parent_code":149},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":152,"locked":13,"version":34,"method":35,"evidence":153},"classified",{"candidates":154,"agricultural_evidence":41},[155,160,164],{"code":39,"score":156,"supported":41,"title":157,"abstract":158,"tags":159},12,[26],[26],[26],{"code":47,"score":21,"supported":13,"title":161,"abstract":162,"tags":163},[],[],[27],{"code":165,"score":21,"supported":13,"title":166,"abstract":167,"tags":168},"I2",[],[],[142],[170,171],"乡村建设信息化 5G通达率","乡村建设信息化 农业人工智能 数字普惠金融 智慧美丽乡村","乡村建设信息化5G通达率-4623","2026-10-11T00:09:36.413889Z",{"id":175,"title":176,"url":177,"summary":178,"summary_zh":8,"content":8,"source_name":179,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":180,"score_detail":181,"sources":184,"tags":186,"primary_topic":190,"secondary_topics":195,"classification":197,"search_phrases":222,"slug":225,"view_count":21,"doi":8,"paper":226,"created_at":233},4402,"数字乡村建设：通往城乡融合的路径检验 — 来自长三角电子商务进农村综合示范县的证据","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fzrzyxb\u002Fmulu\u002F456395.html","基于长三角 151 个县域城乡数据,通过耦合协调度模型、Dagum 基尼系数法以及多期 DID 等方法探究,电子商务进农村综合示范县政策显著提高县域城乡融合发展水平;未列入淘宝村建设的地区尤其是偏远欠发达地区居民更能从电子商务建设中获利;机制上更依赖信息壁垒破除和创业活力提升路径,在滞后数字生活环境下推进示范县政策更有利于促进城乡融合发展。","无锡学院数字经济与管理学院 浙江工业大学经济学院《自然资源学报》",80,{"impact":16,"substance":17,"depth":182,"authority":19,"freshness":89,"relevant":21,"comment":183},19,"基于长三角151个县域的多期DID实证研究，方法规范、结论可靠，对数字乡村与城乡融合政策有较强参考价值，但发布日期不明、时效性偏弱。",[185],{"name":179,"url":177},[26,187,188,28,189],"长三角","县域经济","电子商务进农村",{"code":57,"slug":191,"name":192,"path":193,"parent_code":194},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[196],{"code":39,"slug":146,"name":147,"path":148,"parent_code":149},{"status":152,"locked":13,"version":34,"method":35,"evidence":198},{"candidates":199,"agricultural_evidence":41},[200,204,208,213,218],{"code":57,"score":101,"supported":41,"title":201,"abstract":202,"tags":203},[28],[28],[],{"code":39,"score":20,"supported":41,"title":205,"abstract":206,"tags":207},[26],[],[26],{"code":209,"score":21,"supported":13,"title":210,"abstract":211,"tags":212},"E5",[],[],[189],{"code":214,"score":21,"supported":13,"title":215,"abstract":216,"tags":217},"G4",[],[],[188],{"code":52,"score":21,"supported":13,"title":219,"abstract":220,"tags":221},[],[],[28],[223,224],"长三角 电子商务进农村 综合示范县","数字乡村 城乡融合 县域","长三角电子商务进农村综合示范县-4402",{"doi":8,"openalex_id":8,"authors":227,"venue":8,"cited_by_count":66,"oa_url":8,"card":228,"direction":73,"ingested_from":75},[],{"tldr":229,"method":230,"finding":231,"direction":73,"opportunity":232},"基于长三角151县数据，检验电商进农村示范县政策对城乡融合的促进作用。","耦合协调度模型、Dagum基尼系数与多期DID，使用长三角县域面板数据。","示范县政策显著提升城乡融合，偏远欠发达地区获益更多，机制为破除信息壁垒与提升创业活力。","可探究数字生活滞后地区政策效果的长期持续性及信息壁垒破除的微观农户机制。","2026-10-08T00:07:46.709393Z",{"id":235,"title":236,"url":237,"summary":238,"summary_zh":239,"content":8,"source_name":240,"source_url":237,"published_at":241,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":242,"score_detail":243,"sources":247,"tags":249,"primary_topic":8,"secondary_topics":253,"classification":254,"search_phrases":267,"slug":270,"view_count":271,"doi":272,"paper":273,"created_at":287},3765,"Why empowerment, not relief? Business networks and the economic resilience of disaster-prone areas households in rural China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1932544","Introduction The “differential mode of association” theory describes a traditional Chinese society centered around personal, family, and local relationships. However, due to market changes, population movement, and networking, these traditional ties are weakening, and business networks are becoming more important. Methods Using data from 2016 to 2022 China Family Panel Studies (CFPS), we investigated the impact of business networks on the economic resilience of disaster-prone areas households in rural China. Results and discussion Results show that business networks enhance the economic resilience of disaster-prone areas households in rural China by providing off-farm employment. Heterogeneity analysis shows that business networks have a double effect, boosting gains for better-off families while still providing crucial support for weaker families to meet basic needs. Further analysis shows that business networks have a significant positive effect on job security and promotion satisfaction, but their impact on income, work environment, and work-life balance is not statistically significant. Conclusion These findings remain robust across various tests, offering new insights into how informal institutions can foster economic resilience of disaster-prone areas households in rural China.","引言 “差序格局”理论描述的是一个以个人、家庭和乡土关系为核心的传统中国社会。然而，由于市场变迁、人口流动和网络化，这些传统纽带正在弱化，业缘网络正变得更为重要。方法 利用2016年至2022年中国家庭追踪调查（CFPS）数据，我们考察了业缘网络对中国农村灾害易发地区家庭经济韧性的影响。结果与讨论 结果表明，业缘网络通过提供非农就业增强了中国农村灾害易发地区家庭的经济韧性。异质性分析表明，业缘网络具有双重效应，既能为较富裕家庭增加收益，又能为较弱势家庭满足基本需求提供关键支持。进一步分析表明，业缘网络对工作保障和晋升满意度具有显著正向影响，但其对收入、工作环境和工作与生活平衡的影响在统计上不显著。结论 这些发现在各种检验中保持稳健，为 informal institutions（非正式制度）如何促进中国农村灾害易发地区家庭的经济韧性提供了新的见解。","Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z",77,{"impact":244,"substance":88,"depth":18,"authority":245,"freshness":20,"relevant":21,"comment":246},16,13,"基于CFPS 2016—2022年数据的实证研究，揭示商业网络通过非农就业提升灾害频发区农户经济韧性，对乡村社会资本与防灾减贫政策有参考价值。",[248],{"name":240,"url":237},[26,29,250,251,252],"农户经济韧性","社会网络","灾害风险",[],{"status":255,"locked":13,"version":34,"method":35,"evidence":256},"unclassified",{"candidates":257,"agricultural_evidence":41,"reason":266},[258,262],{"code":57,"score":21,"supported":13,"title":259,"abstract":260,"tags":261},[],[],[29],{"code":39,"score":21,"supported":13,"title":263,"abstract":264,"tags":265},[],[],[26],"缺少足够的主题证据",[268,269],"CFPS 商业网络 农户经济韧性","灾害频发区 非农就业","CFPS商业网络农户经济韧性-3765",3,"10.3389\u002Ffsufs.2026.1932544",{"doi":272,"openalex_id":274,"authors":275,"venue":240,"cited_by_count":66,"oa_url":280,"card":281,"direction":73,"ingested_from":286},"W7214658065",[276,278],{"name":277,"orcid":8},"Zhidong Wu",{"name":279,"orcid":8},"Junyi Wan","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1932544\u002Fpdf",{"tldr":282,"method":283,"finding":284,"direction":73,"opportunity":285},"基于CFPS数据，研究商业网络如何通过非农就业提升中国农村灾害易发区家庭的经济韧性。","使用2016-2022年CFPS数据，实证分析商业网络对经济韧性的影响。","商业网络通过提供非农就业增强经济韧性，对富裕和弱势家庭有双重效应。","可探究数字平台如何构建或替代传统商业网络，以增强灾害易发区家庭韧性。","openalex","2026-09-29T23:30:07.424931Z",{"id":289,"title":290,"url":291,"summary":292,"summary_zh":8,"content":8,"source_name":293,"source_url":8,"published_at":294,"category":11,"cover_url":8,"hotness":12,"is_selected":41,"score":295,"score_detail":296,"sources":298,"tags":300,"primary_topic":8,"secondary_topics":304,"classification":305,"search_phrases":328,"slug":331,"view_count":156,"doi":8,"paper":332,"created_at":339},3599,"数字赋能何以激发内生动力？——数字乡村建设的扶智扶志效应及其协同机制研究","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7689001773884834319","周迪、李书曼、王雪芹在《数量经济技术经济研究》2026年第9期发表。文章基于2018年与2020年县域数字乡村指数与中国家庭追踪调查（CFPS）的匹配数据，构建包含数字乡村建设、人力资本积累与个体努力程度的世代交叠理论模型，运用数值模拟呈现不同数字化水平下个体技能与信心的动态演化路径，并采用双重机器学习模型进行因果推断。研究发现：数字乡村建设整体上对脱贫地区个体的技能提升与未来信心均具有显著正向作用；扶智效应主要通过拓宽信息渠道与促进非农就业实现，扶志效应借助改善职业环境与提升收入达成；对低技能、原深度连片贫困县和山区县的群体产生更为明显的扶志扶智效应。","三农直通车（今日头条）2026-09-24","2026-09-24T00:00:00Z",84,{"impact":16,"substance":17,"depth":182,"authority":19,"freshness":78,"relevant":21,"comment":297},"核心期刊论文，基于CFPS与县域数字乡村指数匹配数据，方法新颖、结论可靠，对数字乡村激发内生动力具有政策参考价值。",[299],{"name":293,"url":291},[26,301,29,302,303],"双重机器学习","CFPS","扶智扶志",[],{"status":33,"locked":13,"version":34,"method":35,"evidence":306},{"candidates":307,"agricultural_evidence":13,"reason":61},[308,312,319,324],{"code":39,"score":156,"supported":41,"title":309,"abstract":310,"tags":311},[26],[26],[26],{"code":313,"score":314,"supported":41,"title":315,"abstract":316,"tags":318},"I7",4,[],[317],"因果推断",[301],{"code":165,"score":271,"supported":41,"title":320,"abstract":321,"tags":323},[],[322],"机器学习",[],{"code":57,"score":21,"supported":13,"title":325,"abstract":326,"tags":327},[],[],[29],[329,330],"数字乡村 扶智扶志 CFPS","县域数字乡村指数 双重机器学习","数字乡村扶智扶志CFPS-3599",{"doi":8,"openalex_id":8,"authors":333,"venue":8,"cited_by_count":66,"oa_url":8,"card":334,"direction":73,"ingested_from":75},[],{"tldr":335,"method":336,"finding":337,"direction":73,"opportunity":338},"基于县域数字乡村指数与CFPS数据，实证检验数字乡村建设对脱贫地区个体的扶智扶志效应及协同机制。","世代交叠模型数值模拟与双重机器学习因果推断，匹配2018、2020年县域数字乡村","数字乡村建设显著提升脱贫地区个体技能与未来信心，扶智靠信息渠道与非农就业，扶志靠职业环境与收入改善。","可探究数字乡村扶智扶志效应的长期动态演化及不同数字化水平的门槛与空间溢出效应。","2026-09-27T00:05:18.097742Z",{"id":341,"title":342,"url":343,"summary":344,"summary_zh":345,"content":8,"source_name":240,"source_url":343,"published_at":294,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":295,"score_detail":346,"sources":348,"tags":350,"primary_topic":354,"secondary_topics":355,"classification":356,"search_phrases":400,"slug":403,"view_count":89,"doi":404,"paper":405,"created_at":419},3453,"The impact of digital village construction on rural population migration decisions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1875724","Introduction With the widespread application of digital technologies such as big data and cloud computing in agriculture and rural areas, digital village construction has become a key initiative for promoting agricultural modernization and rural revitalization. Understanding how this process reshapes rural population mobility is therefore essential. This paper examines the impact of digital rural construction on rural residents’ migration decisions and identifies the underlying mechanisms. Methods We match household-level data from the 2020 China Rural Revitalization Survey (CRRS) with the county-level Digital Rural Index developed by Peking University, and estimate Logit models of the out-migration decision. A comprehensive battery of robustness checks is conducted, including alternative estimation models, sample restriction, exclusion of policy confounding, replacement of the core explanatory and dependent variables, omitted variable tests, and instrumental variable approaches. Mechanism and heterogeneity analyses are then performed. Results Digital rural construction significantly inhibits rural population out-migration, and this finding remains robust across all checks. The inhibitory effect is transmitted primarily through two mechanisms: encouraging non-agricultural business participation and expanding the scale of rural industries. The substitution effect arising from improved land resource allocation efficiency is weaker than the labor release effect of land transfer. The effect is more pronounced in eastern and western regions, among part-time farming and non-agricultural households, in non-mountainous areas, and among labor force groups aged 40 and above with junior secondary education or below. Digital rural construction also increases both the non-agricultural business income and the wage income of rural households. Discussion By uncovering the specific pathways and group-level heterogeneity through which digital village construction shapes migration decisions at the micro level, this study provides empirical evidence and policy implications for leveraging digitalization to promote local rural employment and advance urban–rural integrated development.","引言 随着大数据、云计算等数字技术在农业农村领域的广泛应用，数字乡村建设已成为推进农业现代化和乡村振兴的重要举措。理解这一过程如何重塑农村人口流动，因而至关重要。本文考察数字乡村建设对农村居民迁移决策的影响，并识别其内在机制。方法 本文将2020年中国乡村振兴调查（CRRS）的农户层面数据与北京大学发布的县域数字乡村指数进行匹配，估计农村人口外流决策的Logit模型。研究进行了一系列全面的稳健性检验，包括替代估计模型、样本限制、排除政策混杂因素、替换核心解释变量和被解释变量、遗漏变量检验以及工具变量方法。随后进行机制分析和异质性分析。结果 数字乡村建设显著抑制了农村人口外流，且这一发现在所有检验中均保持稳健。这种抑制效应主要通过两条机制传导：促进非农创业参与和扩大乡村产业规模。土地资源配置效率提升所带来的替代效应弱于土地流转的劳动力释放效应。该效应在东部和西部地区、兼业农户和非农户、非山区，以及40岁及以上、初中及以下学历的劳动力群体中更为明显。数字乡村建设还提高了农村家庭的非农经营收入和工资性收入。讨论 通过揭示数字乡村建设在微观层面影响迁移决策的具体路径和群体异质性，本研究为利用数字化促进农村本地就业、推进城乡融合发展提供了经验证据和政策启示。",{"impact":16,"substance":17,"depth":18,"authority":245,"freshness":137,"relevant":21,"comment":347},"基于CRRS与北大数字乡村指数的微观实证研究，机制与异质性分析扎实，对数字乡村就业政策有参考价值。",[349],{"name":240,"url":343},[351,26,352,28,353],"数字农业","乡村振兴","农村人口流动",{"code":39,"slug":146,"name":147,"path":148,"parent_code":149},[],{"status":152,"locked":13,"version":34,"method":35,"evidence":357},{"candidates":358,"agricultural_evidence":41},[359,364,371,378,382,387,391,395],{"code":39,"score":40,"supported":41,"title":360,"abstract":362,"tags":363},[361],"digital village",[26,361],[26],{"code":365,"score":78,"supported":41,"title":366,"abstract":367,"tags":370},"G2",[],[368,369],"土地流转","land transfer",[],{"code":372,"score":78,"supported":41,"title":373,"abstract":374,"tags":377},"J2",[],[375,376],"农业现代化","agricultural modernization",[],{"code":194,"score":314,"supported":41,"title":379,"abstract":380,"tags":381},[],[352],[352],{"code":214,"score":271,"supported":41,"title":383,"abstract":384,"tags":386},[],[385],"乡村产业",[],{"code":57,"score":271,"supported":41,"title":388,"abstract":389,"tags":390},[],[28],[],{"code":52,"score":21,"supported":13,"title":392,"abstract":393,"tags":394},[],[],[28],{"code":396,"score":21,"supported":13,"title":397,"abstract":398,"tags":399},"I1",[],[],[351],[401,402],"中国乡村振兴调查 数字乡村指数","数字乡村建设 农村劳动力迁移","中国乡村振兴调查数字乡村指数-3453","10.3389\u002Ffsufs.2026.1875724",{"doi":404,"openalex_id":406,"authors":407,"venue":240,"cited_by_count":66,"oa_url":343,"card":414,"direction":73,"ingested_from":286},"W7214148499",[408,410,412],{"name":409,"orcid":8},"Deshan Li",{"name":411,"orcid":8},"Shuangqiang Li",{"name":413,"orcid":8},"Fengming Li",{"tldr":415,"method":416,"finding":417,"direction":73,"opportunity":418},"数字乡村建设显著抑制农村人口外流，并揭示其作用机制与群体异质性。","匹配2020年CRRS农户数据与北大县域数字乡村指数，构建Logit模型。","数字乡村建设通过促进非农创业和扩大乡村产业规模抑制外迁，且效应存在区域与群体差异。","可探究数字乡村抑制外迁的长期动态效应及对城乡收入差距的反馈机制。","2026-09-25T23:30:06.381563Z"]