[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3438":3,"related-3438":45},{"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":22,"tags":24,"search_phrases":30,"slug":33,"view_count":34,"doi":8,"paper":35,"created_at":44},3438,"《数字乡村建设与城乡收入差距：一个U型关系》——基于县域数字乡村发展指数","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fhznydxxbshkxb\u002Fmulu\u002F559280.html","李晓慧、李谷成基于偏向型技术进步理论，利用县域数字乡村发展指数与县域经济统计数据实证检验数字乡村建设与城乡收入差距之间的关系。基准回归结果显示数字乡村建设对城乡收入差距的影响呈现出先缩小后扩大的U型效应；从各维度看，数字基础设施对城乡收入差距的影响处于扩大阶段，而乡村经济数字化、乡村治理数字化及乡村生活数字化对城乡收入差距的影响处于缩小阶段；机制研究显示技能溢价是阻碍数字乡村建设缩小城乡收入差距的重要因素。",null,"《华中农业大学学报（社会科学版）》","2026-09-20T00:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,6,1,"核心期刊实证研究，基于县域指数揭示数字乡村与城乡收入差距的U型关系及技能溢价机制，结论具政策参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","数字基础设施","县域经济","城乡收入差距","技能溢价",[31,32],"数字乡村 城乡收入差距","城乡收入差距 数字基础设施 县域经济 技能溢价","数字乡村城乡收入差距-3438",0,{"doi":8,"openalex_id":8,"authors":36,"venue":8,"cited_by_count":34,"oa_url":8,"card":37,"direction":41,"ingested_from":43},[],{"tldr":38,"method":39,"finding":40,"direction":41,"opportunity":42},"基于县域数字乡村发展指数，实证检验数字乡村建设与城乡收入差距呈先缩小后扩大的U型关系。","偏向型技术进步理论，县域数字乡村发展指数与县域经济统计数据实证回归。","数字乡村建设对城乡收入差距呈U型效应，技能溢价是阻碍其缩小差距的重要因素。","数字乡村与农业信息化","可探究技能溢价门槛下数字乡村各维度对收入差距的异质性影响及技能培训等调节机制。","agent","2026-09-25T00:09:33.905388Z",{"total":19,"page":20,"page_size":19,"items":46},[47,91,119,162,190,219],{"id":48,"title":49,"url":50,"summary":51,"summary_zh":52,"content":8,"source_name":53,"source_url":50,"published_at":54,"category":11,"cover_url":8,"hotness":12,"is_selected":55,"score":56,"score_detail":57,"sources":63,"tags":65,"search_phrases":69,"slug":72,"view_count":34,"doi":73,"paper":74,"created_at":90},3336,"Prosper or beggar thy neighbor? non-farm employment effects and spatial spillovers of China's National Digital Village Pilot Program","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1950504","Introduction Counties are a key spatial unit linking cities and villages in China's rural transformation, yet many still lack the industrial base, market scale, and non-farm job opportunities needed to absorb rural labor. This study examines whether China's National Digital Village Pilot Program expands rural non-farm employment and whether its effects extend beyond pilot counties. Methods Using a panel of 1,450 Chinese counties and 24,111 county-year observations from 2007 to 2024, this study exploits the staggered implementation of the 2020 and 2024 pilot cohorts as a quasi-natural experiment. The policy effect is estimated using a multi-period difference-in-differences model and cross-validated with stacked DID and the Callaway-Sant'Anna estimator. Robustness is further assessed through propensity score matching, inverse probability weighting, entropy balancing, placebo tests, and alternative samples and specifications. Transmission channels, heterogeneity, and spatial effects are also examined. Results The National Digital Village Pilot Program increased rural non-farm employment in pilot counties by approximately 25% relative to non-pilot counties, and the result remains robust across alternative identification and estimation strategies. The two-step transmission-channel analysis provides evidence consistent with two potential channels: enhanced county-level innovation and improved mobile network access capability. The policy effect is significantly stronger in central-region counties than in western counties and stronger in smaller counties than in larger ones, with weaker evidence of a larger effect in counties with lower human capital. Spatial analysis shows a positive direct effect on pilot counties but a negative spillover effect on neighboring counties. Discussion The findings indicate that digital village development can strengthen local non-farm employment absorption, but part of the local gain may reflect a spatial reallocation of economic activity rather than net regional job creation. Effective implementation therefore requires not only county-level digital development but also cross-county resource coordination and regional policy integration.","引言 县域是中国城乡转型中连接城市与乡村的关键空间单元，但许多县域仍缺乏吸纳农村劳动力所需的产业基础、市场规模和非农就业机会。本研究考察中国国家数字乡村试点项目是否扩大了农村非农就业，以及其效应是否超出试点县范围。方法 本研究使用2007年至2024年间1，450个中国县域、24，111个县—年观测值的面板数据，将2020年和2024年试点批次的分批实施作为准自然实验。政策效应采用多期双重差分模型估计，并通过堆叠双重差分和Callaway-Sant'Anna估计量进行交叉验证。稳健性进一步通过倾向得分匹配、逆概率加权、熵平衡、安慰剂检验以及替代样本和设定加以评估。研究还考察了传导渠道、异质性和空间效应。结果 国家数字乡村试点项目使试点县的农村非农就业相对于非试点县增加了约25%，且该结果在替代性识别和估计策略下保持稳健。两步传导渠道分析提供的证据与两个潜在渠道相一致：县域创新能力增强和移动网络接入能力改善。政策效应在中部地区县域显著强于西部地区县域，在较小县域强于较大县域，而在人力资本较低县域效应更大的证据较弱。空间分析显示，政策对试点县具有正向直接效应，但对邻近县域产生负向溢出效应。讨论 研究结果表明，数字乡村发展能够增强本地非农就业吸纳能力，但部分本地收益可能反映的是经济活动的空间再配置，而非区域净就业创造。因此，有效实施不仅需要县域层面的数字发展，还需要跨县域资源协调和区域政策整合。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",true,89,{"impact":58,"substance":59,"depth":60,"authority":18,"freshness":61,"relevant":20,"comment":62},24,23,19,9,"基于1450个县2007-2024年面板数据的准自然实验研究，证实数字乡村试点使县域非农就业提升约25%，但存在对邻县的负向溢出，对政策协调具有实质参考价值。",[64],{"name":53,"url":50},[25,66,27,67,68],"空间溢出","数字乡村试点","非农就业",[70,71],"国家数字乡村试点 非农就业","县域 数字乡村 空间溢出","国家数字乡村试点非农就业-3336","10.3389\u002Ffsufs.2026.1950504",{"doi":73,"openalex_id":75,"authors":76,"venue":53,"cited_by_count":34,"oa_url":50,"card":84,"direction":41,"ingested_from":89},"W7214093544",[77,80,82],{"name":78,"orcid":79},"Wei Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0540-5934",{"name":81,"orcid":8},"Lijun Wang",{"name":83,"orcid":8},"Yizhuo Ma",{"tldr":85,"method":86,"finding":87,"direction":41,"opportunity":88},"评估国家数字乡村试点对县域非农就业的影响及空间溢出效应。","2007-2024年1450个县面板数据，多期DID与Callaway-Sant","试点县非农就业增约25%，但邻县出现负向溢出，部分为就业空间再分配。","可探究数字乡村试点的跨县协同机制与负溢出治理，及不同区域差异化政策设计。","openalex","2026-09-24T23:30:07.434384Z",{"id":92,"title":93,"url":94,"summary":95,"summary_zh":8,"content":8,"source_name":96,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":97,"score_detail":98,"sources":101,"tags":103,"search_phrases":107,"slug":110,"view_count":34,"doi":8,"paper":111,"created_at":118},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",86,{"impact":17,"substance":59,"depth":60,"authority":18,"freshness":99,"relevant":20,"comment":100},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。",[102],{"name":96,"url":94},[25,104,28,105,106],"农民增收","县域共同富裕","国家试点",[108,109],"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":8,"openalex_id":8,"authors":112,"venue":8,"cited_by_count":34,"oa_url":8,"card":113,"direction":41,"ingested_from":43},[],{"tldr":114,"method":115,"finding":116,"direction":41,"opportunity":117},"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。","2026-09-24T00:04:02.203373Z",{"id":120,"title":121,"url":122,"summary":123,"summary_zh":124,"content":8,"source_name":53,"source_url":122,"published_at":125,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":126,"score_detail":127,"sources":130,"tags":132,"search_phrases":136,"slug":139,"view_count":34,"doi":140,"paper":141,"created_at":161},2759,"Impact of digital infrastructure on agricultural green transformation: theory and China’s experience","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1869475","The digital infrastructure is the core support of promoting rural revitalization and agricultural green transformation. However, the impact and implementation pathways through which digital infrastructure affect the agricultural green transformation remain insufficiently explored and require in-depth empirical investigation. This paper utilizes panel data from Chinese counties spanning 2013 to 2023, treating the pilot policy of digital rural construction as a quasi-natural experiment, and employs a difference-in-differences (DID) model to examine the impact and underlying mechanisms of digital infrastructure on agricultural green transformation. The results indicate that digital infrastructure have a significant positive effect on agricultural green transformation, and this conclusion remains robust across multiple robustness checks. Mechanism analysis indicates that digital infrastructure influences the agricultural green transformation through three primary pathways: facilitating agricultural green technological innovation, improving the resource allocation efficiency, and enhancing the agricultural socialized services. Heterogeneity analysis reveals that the driving effect of digital infrastructure is significant in eastern regions, low-altitude counties, and major grain-producing areas, and the impact in other regions is relatively weak. This paper provides empirical evidence and policy implications for leveraging digital infrastructure to promote the agricultural green transformation.","数字基础设施是推动乡村振兴与农业绿色转型的核心支撑。然而，数字基础设施对农业绿色转型的影响及其实现路径尚缺乏充分探讨，有待深入的实证研究。本文利用2013至2023年中国县域面板数据，将数字乡村建设试点政策视为准自然实验，采用双重差分（DID）模型考察数字基础设施对农业绿色转型的影响及其内在机制。结果表明，数字基础设施对农业绿色转型具有显著正向效应，且该结论在多种稳健性检验下依然成立。机制分析表明，数字基础设施通过三条主要路径影响农业绿色转型：促进农业绿色技术创新、提高资源配置效率以及增强农业社会化服务。异质性分析显示，数字基础设施的驱动效应在东部地区、低海拔县域及粮食主产区显著，而在其他地区影响相对较弱。本文为利用数字基础设施推动农业绿色转型提供了经验证据与政策启示。","2026-09-16T00:00:00Z",84,{"impact":17,"substance":17,"depth":16,"authority":128,"freshness":61,"relevant":20,"comment":129},13,"基于2013—2023年中国县域面板数据与数字乡村试点准自然实验，实证揭示数字基础设施通过绿色技术创新、资源配置效率和社会化服务三条路径推动农业绿色转型，方法规范、结论可靠，对数字乡村政策具有参考价值。",[131],{"name":53,"url":122},[25,26,133,134,135],"农业绿色转型","农业社会化服务","县域面板数据",[137,138],"农业社会化服务 农业绿色转型 县域面板数据 数字基础设施","农业社会化服务 农业绿色转型","农业社会化服务农业绿色转型县域面板数据数字基础设施-2759","10.3389\u002Ffsufs.2026.1869475",{"doi":140,"openalex_id":142,"authors":143,"venue":53,"cited_by_count":34,"oa_url":154,"card":155,"direction":159,"ingested_from":89},"W7213421769",[144,147,149,152],{"name":145,"orcid":146},"Guoqun Ma","https:\u002F\u002Forcid.org\u002F0000-0002-9619-8423",{"name":148,"orcid":8},"Qin Su",{"name":150,"orcid":151},"Yan Luo","https:\u002F\u002Forcid.org\u002F0000-0002-9731-4983",{"name":153,"orcid":8},"Wenying Xiao","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1869475\u002Fpdf",{"tldr":156,"method":157,"finding":158,"direction":159,"opportunity":160},"基于中国县域面板数据，用DID模型检验数字基础设施对农业绿色转型的影响与机制。","2013-2023年县域面板数据，数字乡村试点作准自然实验，DID模型。","数字基础设施显著促进农业绿色转型，通过绿色技术创新、资源配置效率、社会化服务三条路径。","农业绿色发展与碳","可探究数字基础设施对农业碳排放与绿色全要素生产率的非线性影响及空间溢出效应。","2026-09-17T23:30:08.126393Z",{"id":163,"title":164,"url":165,"summary":166,"summary_zh":8,"content":8,"source_name":167,"source_url":8,"published_at":168,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":169,"score_detail":170,"sources":173,"tags":175,"search_phrases":178,"slug":181,"view_count":34,"doi":8,"paper":182,"created_at":189},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":16,"substance":17,"depth":16,"authority":128,"freshness":171,"relevant":20,"comment":172},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。",[174],{"name":167,"url":165},[25,176,177,104,27],"乡村治理","数字素养",[179,180],"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":183,"venue":8,"cited_by_count":34,"oa_url":8,"card":184,"direction":41,"ingested_from":43},[],{"tldr":185,"method":186,"finding":187,"direction":41,"opportunity":188},"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",{"id":191,"title":192,"url":193,"summary":194,"summary_zh":8,"content":8,"source_name":195,"source_url":8,"published_at":196,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":197,"score_detail":198,"sources":200,"tags":202,"search_phrases":206,"slug":209,"view_count":34,"doi":210,"paper":211,"created_at":218},2109,"《Digital villages and agricultural green total factor productivity》 数字乡村试点DID评估AGTFP","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1831978\u002Ffull","Guo Hui、Wang Xinyi、Xia He、Jiang Wenjie基于2014—2023年中国县级面板数据,采用超效率SBM-DDF-GML模型测算AGTFP,以国家数字乡村试点为准自然实验,运用双重差分法评估数字乡村建设对AGTFP的影响、机制与空间溢出效应。结果显示数字乡村显著提升AGTFP,主要通过绿色技术进步而非绿色技术效率改善;机制上通过优化劳动力配置、激发农业经营创业、扩大消费实现;政策效应在靠近省会城市、地形起伏大、路网密度低的地区更显著。","Frontiers in Sustainable Food Systems 10:1831978","2026-09-05T00:00:00Z",82,{"impact":17,"substance":59,"depth":16,"authority":128,"freshness":19,"relevant":20,"comment":199},"基于县级面板与试点准自然实验，方法规范、结论明确，对数字乡村政策评估有参考价值。",[201],{"name":195,"url":193},[25,27,203,204,205],"农业绿色发展","政策评估","全要素生产率",[207,208],"全要素生产率 农业绿色发展 县域经济 政策评估","全要素生产率 农业绿色发展","全要素生产率农业绿色发展县域经济政策评估-2109","10.3389\u002Ffsufs.2026.1831978\u002Ffull",{"doi":210,"openalex_id":8,"authors":212,"venue":8,"cited_by_count":34,"oa_url":8,"card":213,"direction":41,"ingested_from":43},[],{"tldr":214,"method":215,"finding":216,"direction":41,"opportunity":217},"基于县级面板数据，用DID评估数字乡村试点对农业绿色全要素生产率的影响。","超效率SBM-DDF-GML测算AGTFP，双重差分法，2014—2023年县级","数字乡村显著提升AGTFP，主要靠绿色技术进步，通过劳动力配置、创业和消费实现。","可探究数字乡村对AGTFP的空间溢出边界及绿色技术效率滞后原因。","2026-09-11T00:04:22.864968Z",{"id":220,"title":221,"url":222,"summary":223,"summary_zh":224,"content":8,"source_name":225,"source_url":222,"published_at":226,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":227,"score_detail":228,"sources":232,"tags":234,"search_phrases":236,"slug":239,"view_count":20,"doi":240,"paper":241,"created_at":258},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。","Scientific Reports","2026-09-04T00:00:00Z",80,{"impact":229,"substance":17,"depth":16,"authority":128,"freshness":230,"relevant":20,"comment":231},25,2,"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。",[233],{"name":225,"url":222},[25,235,27],"乡村振兴",[237,238],"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","10.1038\u002Fs41598-026-69800-z",{"doi":240,"openalex_id":242,"authors":243,"venue":225,"cited_by_count":34,"oa_url":222,"card":253,"direction":41,"ingested_from":89},"W7208750940",[244,247,249,251],{"name":245,"orcid":246},"Huili Yang","https:\u002F\u002Forcid.org\u002F0000-0002-5534-0155",{"name":248,"orcid":8},"Mande Zhu",{"name":250,"orcid":8},"Wanci Tang",{"name":252,"orcid":8},"Chengxiu Li",{"tldr":254,"method":255,"finding":256,"direction":41,"opportunity":257},"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。","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。","2026-09-05T23:30:35.454261Z"]