[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1745":3,"related-1745":87},{"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":30,"secondary_topics":36,"classification":37,"search_phrases":60,"slug":63,"view_count":64,"doi":65,"paper":66,"created_at":86},1745,"National digital village pilot construction alleviates the economic gap between counties in China","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-69800-z","This paper exploits panel data on 1,564 Chinese counties from 2015 to 2023 and applies a difference-in-differences approach to evaluate the impact of digital village pilot on inter-county economic disparities. The results show that the pilots significantly narrow county-level economic gaps, a finding that remains robust across multiple tests. Mechanism analysis suggests that digital village initiatives enhance endogenous county development by promoting technological innovation and rural entrepreneurship, with industrial upgrading playing a moderating role. It has a stronger impact on regions with a lower degree of reliance on agriculture, regions with greater financial support, and the central and western regions. Policy implications include the steady expansion of digital village pilots, strengthening of innovation and entrepreneurship, guidance for industrial upgrading, and improved supportive policies to foster coordinated regional development.","本文利用2015至2023年中国1564个县的面板数据，采用双重差分法评估数字乡村试点对县域间经济差距的影响。结果显示，试点显著缩小了县级经济差距，这一发现在多项检验中依然稳健。机制分析表明，数字乡村建设通过促进技术创新和农村创业来增强县域内生发展动力，其中产业升级发挥了调节作用。对于农业依赖程度较低、金融支持力度较大的地区以及中西部地区，其影响更为显著。政策启示包括稳步扩大数字乡村试点范围、强化创新创业支持、引导产业升级，并完善配套政策以促进区域协调发展。",null,"Scientific Reports","2026-09-04T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},25,22,18,13,2,1,"基于大规模面板数据评估数字乡村试点对县域经济差距的影响，结论可靠，政策启示明确。",[25],{"name":10,"url":6},[27,28,29],"数字乡村","乡村振兴","县域经济",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,50,55],{"code":31,"score":44,"supported":45,"title":46,"abstract":48,"tags":49},15,true,[47],"digital village",[27,47],[27],{"code":51,"score":22,"supported":14,"title":52,"abstract":53,"tags":54},"G",[],[],[28],{"code":56,"score":22,"supported":14,"title":57,"abstract":58,"tags":59},"G4",[],[],[29],[61,62],"乡村振兴 县域经济 数字乡村","乡村振兴 县域经济","乡村振兴县域经济数字乡村-1745",3,"10.1038\u002Fs41598-026-69800-z",{"doi":65,"openalex_id":67,"authors":68,"venue":10,"cited_by_count":78,"oa_url":6,"card":79,"direction":83,"ingested_from":85},"W7208750940",[69,72,74,76],{"name":70,"orcid":71},"Huili Yang","https:\u002F\u002Forcid.org\u002F0000-0002-5534-0155",{"name":73,"orcid":9},"Mande Zhu",{"name":75,"orcid":9},"Wanci Tang",{"name":77,"orcid":9},"Chengxiu Li",0,{"tldr":80,"method":81,"finding":82,"direction":83,"opportunity":84},"数字乡村试点显著缩小了县域经济差距，通过促进技术创新和农村创业实现。","使用2015-2023年1564个县面板数据，采用双重差分法评估政策效应。","数字乡村试点显著缩小县域经济差距，且对非农依赖低、金融支持强及中西部区域效果更明显。","数字乡村与农业信息化","可探究数字乡村试点对农业全要素生产率或农户收入的影响，或结合空间溢出效应分析区域协同发展机制。","openalex","2026-09-05T23:30:35.454261Z",{"total":88,"page":22,"page_size":88,"items":89},6,[90,158,206,267,312,386],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":95,"content":9,"source_name":96,"source_url":93,"published_at":97,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":98,"score_detail":99,"sources":103,"tags":105,"primary_topic":109,"secondary_topics":110,"classification":111,"search_phrases":139,"slug":142,"view_count":78,"doi":143,"paper":144,"created_at":157},5469,"How institutional digitalization reshapes entrepreneurial activity in new agricultural business forms: quasi-natural experimental evidence from China's Digital Village Pilot Policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1946061","New agricultural business forms are a key driving force for developing countries to overcome the constraints of traditional agriculture and achieve sustainability in food systems. However, it remains unclear whether institutional digitalization can effectively stimulate entrepreneurial vitality in new agricultural business forms. This study develops a theoretical framework of “opportunity creation–opportunity identification–opportunity transformation” and treats China's Digital Village Pilot Policy (DVPP), implemented in 2020, as a quasi-natural experiment. Based on panel data from 1,743 counties in China from 2014 to 2023, this study employs Double Machine Learning (DML) and Spatial Durbin Difference-in-Differences (SDM-DID) models, among other methods, to systematically identify the impact, transmission mechanisms, heterogeneous effects, and spatial spillover effects of institutional digitalization on Entrepreneurial Activity in New Agricultural Business Forms (EANA). The results reveal that: (1) DVPP significantly enhances EANA, and this finding remains robust after a series of tests, including placebo tests, Propensity Score Matching–Difference-in-Differences (PSM-DID), Synthetic Control Method–Difference-in-Differences (SCM-DID), and instrumental variable (IV) estimation; (2) agricultural technological innovation, digital infrastructure development, and digital financial development serve as mediating mechanisms; (3) the policy effects are more pronounced in counties with higher levels of digital access, better-developed transportation infrastructure, and higher levels of digital financial development, exhibiting a pattern of Central > Western > Eastern regions, and are significantly stronger in areas with advantages in characteristic agricultural products; (4) DVPP generates a significant negative spatial spillover effect on EANA in neighboring counties. This study expands theoretical understanding of the relationship between institutional digitalization and entrepreneurship in new agricultural business forms and provides empirical evidence for China and other developing countries to optimize digital rural development and foster new agricultural business forms.","农业新业态是发展中国家突破传统农业约束、实现食物系统可持续发展的关键驱动力。然而，制度数字化能否有效激发农业新业态的创业活力仍不明确。本研究构建了“机会创造—机会识别—机会转化”的理论框架，并将中国2020年实施的数字乡村试点政策（Digital Village Pilot Policy，DVPP）视为准自然实验。基于中国1743个县2014—2023年的面板数据，本研究采用双重机器学习（Double Machine Learning，DML）和空间杜宾双重差分（Spatial Durbin Difference-in-Differences，SDM-DID）等模型，系统识别制度数字化对农业新业态创业活动（Entrepreneurial Activity in New Agricultural Business Forms，EANA）的影响、传导机制、异质性效应和空间溢出效应。结果表明：（1）DVPP显著提升了EANA，且该结论在经过安慰剂检验、倾向得分匹配—双重差分（PSM-DID）、合成控制法—双重差分（SCM-DID）和工具变量（IV）估计等一系列检验后依然稳健；（2）农业技术创新、数字基础设施建设和数字金融发展发挥中介机制作用；（3）政策效应在数字接入水平较高、交通基础设施较完善和数字金融发展水平较高的县更为显著，呈现出中部>西部>东部的格局，且在特色农产品优势区显著更强；（4）DVPP对邻近县的EANA产生显著的负向空间溢出效应。本研究拓展了关于制度数字化与农业新业态创业之间关系的理论认识，为中国及其他发展中国家优化数字乡村发展、培育农业新业态提供了经验证据。","Frontiers in Sustainable Food Systems","2026-10-20T00:00:00Z",85,{"impact":18,"substance":100,"depth":19,"authority":20,"freshness":101,"relevant":22,"comment":102},23,9,"基于1743个县面板数据的准自然实验，方法扎实、结论有政策参考价值，值得进入每日精选。",[104],{"name":96,"url":93},[106,27,29,107,108],"数字农业","农业政策","农村创业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":112},{"candidates":113,"agricultural_evidence":45},[114,118,125,130,134],{"code":31,"score":44,"supported":45,"title":115,"abstract":116,"tags":117},[47],[27,47],[27],{"code":119,"score":88,"supported":45,"title":120,"abstract":121,"tags":124},"I2",[],[122,123],"机器学习","machine learning",[],{"code":51,"score":64,"supported":45,"title":126,"abstract":127,"tags":129},[],[128],"rural development",[],{"code":56,"score":21,"supported":14,"title":131,"abstract":132,"tags":133},[],[],[108,29],{"code":135,"score":22,"supported":14,"title":136,"abstract":137,"tags":138},"I1",[],[],[106],[140,141],"数字乡村试点 新农业业态","DVPP 农村创业","数字乡村试点新农业业态-5469","10.3389\u002Ffsufs.2026.1946061",{"doi":143,"openalex_id":145,"authors":146,"venue":96,"cited_by_count":78,"oa_url":93,"card":152,"direction":83,"ingested_from":85},"W7223041086",[147,149],{"name":148,"orcid":9},"Su Li",{"name":150,"orcid":151},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":153,"method":154,"finding":155,"direction":83,"opportunity":156},"用双重机器学习与空间DID评估数字乡村试点政策对新农业业态创业活力的影响。","基于1743县2014-2023面板数据，用DML与SDM-DID做准自然实验。","试点政策显著提升新农业业态创业，经技术创新、数字基建与数字金融中介，并对邻县有负向溢出。","可探究政策负向空间溢出的形成机制及跨县协同激励设计，避免创业资源虹吸。","2026-10-21T23:30:07.205317Z",{"id":159,"title":160,"url":161,"summary":162,"summary_zh":9,"content":9,"source_name":163,"source_url":9,"published_at":164,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":165,"score_detail":166,"sources":168,"tags":170,"primary_topic":174,"secondary_topics":175,"classification":176,"search_phrases":193,"slug":196,"view_count":78,"doi":9,"paper":197,"created_at":205},4781,"中国数字乡村建设与县域老年照护产业的耦合协调关系及区域差异研究","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-10\u002F20261009225937972.htm","本研究利用中国县域数字乡村指数2018年和2020年及匹配的老年照护产业统计数据,采用综合耦合协调度评价模型考察两大系统之间的耦合协调度及其区域差异。研究发现,全国整体耦合协调水平仍偏低,农村经济、日常生活和治理的数字化与老年照护产业耦合度呈中度失衡。结论建议政府应优先关注数字乡村建设的社会效益,加强农村老年照护的技术和服务支持。","生物通 报道 BMC Geriatrics 2026-10-10","2026-10-10T00:00:00Z",77,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":88,"relevant":22,"comment":167},"基于县域面板数据的实证研究，揭示数字乡村与老年照护产业耦合失衡，对农村数字化社会效益有政策参考价值。",[169],{"name":163,"url":161},[27,29,171,172,173],"耦合协调","区域差异","老年照护",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":177},{"candidates":178,"agricultural_evidence":45},[179,184,188],{"code":31,"score":180,"supported":45,"title":181,"abstract":182,"tags":183},12,[27],[27],[27],{"code":56,"score":22,"supported":14,"title":185,"abstract":186,"tags":187},[],[],[29],{"code":189,"score":22,"supported":14,"title":190,"abstract":191,"tags":192},"I4",[],[],[171],[194,195],"中国县域数字乡村指数 老年照护产业","区域差异 县域经济 数字乡村 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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》",{"impact":18,"substance":100,"depth":213,"authority":214,"freshness":21,"relevant":22,"comment":215},19,14,"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。",[217],{"name":211,"url":209},[27,219,29,220,221],"长三角","城乡融合","电子商务进农村",{"code":223,"slug":224,"name":225,"path":226,"parent_code":51},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration",[228],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"status":38,"locked":14,"version":39,"method":40,"evidence":230},{"candidates":231,"agricultural_evidence":45},[232,237,241,246,250],{"code":223,"score":233,"supported":45,"title":234,"abstract":235,"tags":236},11,[220],[220],[],{"code":31,"score":101,"supported":45,"title":238,"abstract":239,"tags":240},[27],[],[27],{"code":242,"score":22,"supported":14,"title":243,"abstract":244,"tags":245},"E5",[],[],[221],{"code":56,"score":22,"supported":14,"title":247,"abstract":248,"tags":249},[],[],[29],{"code":251,"score":22,"supported":14,"title":252,"abstract":253,"tags":254},"G5",[],[],[220],[256,257],"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":9,"openalex_id":9,"authors":260,"venue":9,"cited_by_count":78,"oa_url":9,"card":261,"direction":83,"ingested_from":204},[],{"tldr":262,"method":263,"finding":264,"direction":83,"opportunity":265},"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":268,"title":269,"url":270,"summary":271,"summary_zh":9,"content":272,"source_name":273,"source_url":9,"published_at":274,"category":275,"cover_url":9,"hotness":13,"is_selected":14,"score":276,"score_detail":277,"sources":280,"tags":282,"primary_topic":286,"secondary_topics":287,"classification":288,"search_phrases":307,"slug":310,"view_count":22,"doi":9,"paper":9,"created_at":311},3691,"江苏省数字乡村建设工作现场推进会在海安召开","https:\u002F\u002Fwww.haian.gov.cn\u002Fhasrmzf\u002Fhayw\u002Fcontent\u002Ff148bf33-fa41-4473-9a92-2afc386ead36.html","9月17日江苏省委网信办、省农业农村厅在海安召开数字乡村建设工作现场推进会，公布第三批省级数字乡村试点地区名单。强调以人工智能+农业141行动为抓手，聚焦数智兴业、数智惠民、数智善治，推动数字技术与农业生产、经营、服务深度融合。","9月17日，省委网信办、省农业农村厅在海安召开江苏省数字乡村建设工作现场推进会，总结交流数字乡村建设进展成效，研究安排下一阶段重点工作。省委宣传部副部长、省委网信办主任杨力群，省委农办主任、省农业农村厅厅长、党组书记季辉出席会议并讲话，省农业农村厅副厅长曹丽虹公布第三批省级数字乡村试点地区名单，省委网信办副主任赵明主持会议，南通市副市长张一峰致辞，海安市委常委、宣传部部长朱元星作交流发言。\n\n会议指出，数字乡村发展是乡村振兴的战略方向，是数字时代推进农业农村现代化进程的必由之路。“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，也是全省数字乡村发展从夯基垒台向整体跃升转变的关键阶段。要进一步增强做好数字乡村建设工作的责任感使命感，加快推进网络强省、数字江苏和农业强省建设，以数字乡村高质量发展推动农业增效益、农民增收入、农村增活力。\n\n会议强调，要以强农、惠农、富农为目标，高质量推进数字乡村建设，为推进乡村全面振兴、加快农业农村现代化提供坚实信息化支撑。要聚焦数智兴业，推动乡村产业提质增效，以人工智能+农业“141”行动为抓手，加快技术创新集成，分类拓展产业应用，畅通农产品“数智流通”渠道，培育乡村“数字新业态”，推动数字技术与农业生产、经营、服务深度融合。要聚焦数智惠民，推动乡村建设提质增效，强化数字基础设施支撑，加强信息惠农便民，打造智慧绿色乡村，以数智化赋能宜居宜业和美乡村建设。要聚焦数智善治，推动乡村治理提质增效，提升数字治理服务效能，加强涉农数据资源整合共享，深化“指尖上的形式主义”整治，构建共建共治共享的乡村数字治理新格局。\n\n近年来，海安深入学习贯彻习近平总书记关于网络强国的重要思想，认真落实党中央决策部署和省委、省政府工作要求，围绕“产业数字化、治理智能化、服务便捷化”核心目标，坚持“强体系、布场景、优平台、共发展”工作思路，全域推进数字乡村建设，各项工作取得一定成效。“海略协作”入选国家数字乡村机制共建型试点，创成国家现代农业产业园，入选国家农业现代化示范区创建名单，累计培育市级以上农业龙头企业106家（国家级5家），粮食生产全程机械化率达98.6%，华艺集团“AI智能机器人赋能非遗扎染”项目入选长三角数字乡村建设典型案例。\n\n2024年，海安与略阳共同入选第二批国家数字乡村试点，一个是江海之滨的“吨粮县”，一个是秦岭腹地的“宝藏县”，两地跨越千里、携手同行，肩负起东西部协作机制共建的国家使命。入选试点以来，海安始终坚持“略阳所需、海安所能”，以数字赋能为纽带，探索出了一条山海协作、数智赋能的乡村振兴新路子。把机制建设作为“先手棋”，搭建组织架构、强化资金保障、深化治理互鉴，推动两地信息互通、资源共享。把海安智慧农业经验转化为可输出、可复制的协作资源，推动智慧种养落地、促进数字平台共享、畅通产销对接渠道，推动略阳农业生产方式由“会”变“慧”。坚持线上线下联动，医疗帮扶“云端守护”、基础教育“数字赋能”、技能培育“山海联动”，把数字红利跨越山海送到略阳百姓身边。下一步，海安将以此次现场推进会为契机，锚定国家数字乡村试点验收目标，学习借鉴先进经验，持续深化海略全方位协作，以硬核数字化成果激活乡村振兴新动能，奋力书写东西部协作和数字乡村建设优异答卷。\n\n无锡宜兴市、常州市天宁区、苏州市相城区、南通市通州区、连云港市赣榆区、盐城市建湖县、宿迁市宿豫区等7个县（市、区）入选第三批江苏省数字乡村试点。\n\n会上，有关专家作人工智能赋能数字乡村建设专题辅导，南京市高淳区、海安市、常州市金坛区儒林镇、省农垦集团公司等作交流发言。","海安市人民政府","2026-09-17T12:00:00Z","政策",70,{"impact":18,"substance":19,"depth":44,"authority":13,"freshness":278,"relevant":22,"comment":279},5,"省级数字乡村推进会，含第三批试点名单与人工智能+农业行动部署，政策信息量足但时效稍旧，可入精选。",[281],{"name":273,"url":270},[27,283,28,284,285],"农业人工智能","东西部协作","试点建设",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":289},{"candidates":290,"agricultural_evidence":45},[291,295,299,303],{"code":31,"score":180,"supported":45,"title":292,"abstract":293,"tags":294},[27],[27],[27],{"code":51,"score":22,"supported":14,"title":296,"abstract":297,"tags":298},[],[],[28],{"code":223,"score":22,"supported":14,"title":300,"abstract":301,"tags":302},[],[],[284],{"code":119,"score":22,"supported":14,"title":304,"abstract":305,"tags":306},[],[],[283],[308,309],"江苏 数字乡村 推进会","海安 略阳 数字乡村试点","江苏数字乡村推进会-3691","2026-09-29T00:08:18.529642Z",{"id":313,"title":314,"url":315,"summary":316,"summary_zh":317,"content":9,"source_name":318,"source_url":315,"published_at":319,"category":12,"cover_url":9,"hotness":17,"is_selected":14,"score":15,"score_detail":320,"sources":322,"tags":327,"primary_topic":331,"secondary_topics":332,"classification":334,"search_phrases":358,"slug":361,"view_count":88,"doi":362,"paper":363,"created_at":385},3562,"Toward Common Prosperity: Spatially Heterogeneous Effects and Mechanisms of Digital Village Construction on the Urban–Rural Income Gap in Mountainous China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101801","Mountainous regions are critical to promoting inclusive growth and reducing spatial inequality worldwide. Digital village construction offers a new pathway to overcome geographical constraints and reshape urban–rural income distribution in these areas. Using county-level data for 2020 and focusing on mountainous China, this study integrates the Theil index, IV-2SLS, MGWR, and mediation models to characterize the spatial pattern of the urban–rural income gap (URIG) and identify the spatially heterogeneous effects and potential mechanisms of digital village construction across different geomorphological settings. The results indicate that: (1) Large and highly dispersed URIG are concentrated in mountainous regions. On average, the gap is approximately twice as large as that in non-mountainous regions and varies markedly across geomorphological types. URIG is highest in mountain counties, shows the greatest variation in plateau counties, and tends to be lower in hill counties. (2) Digital village construction exerts a significant negative effect on URIG in mountainous China, with the effect being stronger than in non-mountainous regions and generally increasing in magnitude from east to west. (3) The effects of different DVI dimensions on URIG exhibit substantial spatial heterogeneity and vary in their spatial scales of influence. Rural economy digitalization shows widespread and consistently negative effects and emerges as the dominant dimension across most mountainous regions, while the effect of other dimensions is more localized, particularly rural life digitalization, which shows stronger negative effects in mountain counties, plateau counties, and underdeveloped mountainous counties. (4) Agricultural operation modernization and labor allocation optimization constitute potential channels underlying the association between digital village construction and a narrower URIG, with the estimated indirect effect being more pronounced through labor allocation optimization. These findings provide empirical evidence for advancing inclusive development in mountainous regions amid China’s common prosperity agenda, with broader implications for place-based digital village construction.","山区对于促进包容性增长和缩小全球空间不平等至关重要。数字乡村建设为这些地区突破地理约束、重塑城乡收入分配格局提供了新路径。本研究以2020年县级数据为基础，聚焦中国山区，综合运用泰尔指数、IV-2SLS、MGWR和中介模型，刻画城乡收入差距（URIG）的空间格局，并识别数字乡村建设在不同地貌条件下的空间异质性效应及其潜在机制。结果表明：（1）规模较大且高度分散的URIG集中于山区。其平均值约为非山区的两倍，且在不同地貌类型间差异显著。URIG在山区县最高，在高原县变异最大，在丘陵县则趋于较低水平。（2）数字乡村建设对中国山区URIG具有显著负向影响，其效应强于非山区，且总体上呈自东向西递增态势。（3）数字乡村建设不同维度对URIG的影响表现出显著的空间异质性，且其影响的空间尺度各异。农村经济数字化呈现出广泛且稳定的负向效应，并在大多数山区成为主导维度，而其他维度的效应则更具局部性，尤其是农村生活数字化，在山区县、高原县及欠发达山区县表现出更强的负向效应。（4）农业经营现代化和劳动力配置优化构成数字乡村建设与URIG缩小之间关联的潜在渠道，其中通过劳动力配置优化的间接效应更为明显。上述发现为中国共同富裕议程下推进山区包容性发展提供了经验证据，并对因地制宜推进数字乡村建设具有更广泛的启示。","Land","2026-09-25T00:00:00Z",{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":101,"relevant":22,"comment":321},"基于县域数据的实证研究，方法扎实、结论对山区数字乡村政策有参考价值，但属学术论文，公共传播热度有限。",[323,324],{"name":318,"url":315},{"name":325,"url":326},"MDPI Land 15(10), 1801 2026-09-25","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F10\u002F1801",[27,29,328,329,330],"农业数字化","山区农业","城乡收入差距",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[333],{"code":223,"slug":224,"name":225,"path":226,"parent_code":51},{"status":38,"locked":14,"version":39,"method":40,"evidence":335},{"candidates":336,"agricultural_evidence":45},[337,341,346,350,354],{"code":31,"score":44,"supported":45,"title":338,"abstract":339,"tags":340},[47],[27,47],[27],{"code":223,"score":180,"supported":45,"title":342,"abstract":344,"tags":345},[343],"rural income",[343],[330],{"code":56,"score":22,"supported":14,"title":347,"abstract":348,"tags":349},[],[],[29],{"code":35,"score":22,"supported":14,"title":351,"abstract":352,"tags":353},[],[],[328],{"code":135,"score":22,"supported":14,"title":355,"abstract":356,"tags":357},[],[],[328],[359,360],"数字乡村 城乡收入差距 山区","县域 数字乡村 泰尔指数","数字乡村城乡收入差距山区-3562","10.3390\u002Fland15101801",{"doi":362,"openalex_id":364,"authors":365,"venue":318,"cited_by_count":78,"oa_url":315,"card":380,"direction":83,"ingested_from":85},"W7214349448",[366,369,372,375,377],{"name":367,"orcid":368},"Xueting Yang","https:\u002F\u002Forcid.org\u002F0000-0003-4633-2185",{"name":370,"orcid":371},"Xiaoping Qiu","https:\u002F\u002Forcid.org\u002F0000-0001-6310-5959",{"name":373,"orcid":374},"Fubiao Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-4606-3336",{"name":376,"orcid":9},"Mingkai Xu",{"name":378,"orcid":379},"Yun Xu","https:\u002F\u002Forcid.org\u002F0000-0002-2442-7792",{"tldr":381,"method":382,"finding":383,"direction":83,"opportunity":384},"研究数字乡村建设对中国山区城乡收入差距的空间异质性影响及机制。","用2020年县级数据，结合泰尔指数、IV-2SLS、MGWR与中介模型。","数字乡村建设显著缩小山区城乡收入差距，效应自东向西增强，且存在地貌与维度异质性。","可深入探究不同地貌下数字乡村各维度的空间尺度差异及劳动力配置中介的微观路径。","2026-09-26T23:30:38.665617Z",{"id":387,"title":388,"url":389,"summary":390,"summary_zh":391,"content":9,"source_name":96,"source_url":389,"published_at":392,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":393,"score_detail":394,"sources":397,"tags":399,"primary_topic":401,"secondary_topics":402,"classification":403,"search_phrases":446,"slug":449,"view_count":21,"doi":450,"paper":451,"created_at":465},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。","2026-09-24T00:00:00Z",84,{"impact":18,"substance":100,"depth":19,"authority":20,"freshness":395,"relevant":22,"comment":396},8,"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。",[398],{"name":96,"url":389},[106,27,28,220,400],"农村人口流动",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":404},{"candidates":405,"agricultural_evidence":45},[406,410,417,424,429,434,438,442],{"code":31,"score":44,"supported":45,"title":407,"abstract":408,"tags":409},[47],[27,47],[27],{"code":411,"score":88,"supported":45,"title":412,"abstract":413,"tags":416},"G2",[],[414,415],"土地流转","land transfer",[],{"code":418,"score":88,"supported":45,"title":419,"abstract":420,"tags":423},"J2",[],[421,422],"农业现代化","agricultural modernization",[],{"code":51,"score":425,"supported":45,"title":426,"abstract":427,"tags":428},4,[],[28],[28],{"code":56,"score":64,"supported":45,"title":430,"abstract":431,"tags":433},[],[432],"乡村产业",[],{"code":223,"score":64,"supported":45,"title":435,"abstract":436,"tags":437},[],[220],[],{"code":251,"score":22,"supported":14,"title":439,"abstract":440,"tags":441},[],[],[220],{"code":135,"score":22,"supported":14,"title":443,"abstract":444,"tags":445},[],[],[106],[447,448],"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":450,"openalex_id":452,"authors":453,"venue":96,"cited_by_count":78,"oa_url":389,"card":460,"direction":83,"ingested_from":85},"W7214148499",[454,456,458],{"name":455,"orcid":9},"Deshan Li",{"name":457,"orcid":9},"Shuangqiang Li",{"name":459,"orcid":9},"Fengming Li",{"tldr":461,"method":462,"finding":463,"direction":83,"opportunity":464},"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"]