[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1707":3,"related-1707":70},{"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,"primary_topic":29,"secondary_topics":35,"classification":36,"search_phrases":54,"slug":57,"view_count":58,"doi":8,"paper":59,"created_at":69},1707,"数字赋能农业产业链韧性：基于 282 地级市面板数据的实证研究","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7681649578591961628\u002F","Frontiers in Sustainable Food Systems 2026 卷次发表中国面板数据论文。研究基于全国 282 个地级市面板数据，实证检验数字技术对农业产业链韧性的影响及其作用机制。研究发现数字技术通过提升产业链协同效率、增强风险抵御能力、促进产业结构升级三条路径显著增强农业产业链韧性。研究为加快推进数字乡村建设、全面提升农业产业体系韧性提供了理论依据与政策建议。",null,"今日头条","2026-09-04T00:00:00Z","论文",10,false,74,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},20,22,18,12,2,1,"基于282地级市面板数据的实证研究，揭示数字技术提升农业产业链韧性的机制，具有全国性参考价值，但时效性较低。",[24],{"name":9,"url":6},[26,27,28],"数字农业","实证研究","产业链韧性",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":37,"locked":13,"version":38,"method":39,"evidence":40},"classified","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":44},[42,49],{"code":30,"score":43,"supported":44,"title":45,"abstract":46,"tags":48},3,true,[],[47],"数字乡村",[],{"code":50,"score":21,"supported":13,"title":51,"abstract":52,"tags":53},"I1",[],[],[26],[55,56],"产业链韧性 实证研究 数字农业","产业链韧性 实证研究","产业链韧性实证研究数字农业-1707",6,{"doi":8,"openalex_id":8,"authors":60,"venue":8,"cited_by_count":61,"oa_url":8,"card":62,"direction":66,"ingested_from":68},[],0,{"tldr":63,"method":64,"finding":65,"direction":66,"opportunity":67},"实证检验数字技术对农业产业链韧性的影响及机制，基于282个地级市面板数据。","使用282个地级市面板数据，进行实证检验和机制分析。","数字技术通过提升协同效率、增强风险抵御、促进结构升级三条路径增强农业产业链韧性。","数字乡村与农业信息化","可进一步研究数字技术对不同类型农业产业链韧性的异质性影响，或结合具体案例探讨政策落地效果。","agent","2026-09-05T00:04:40.984489Z",{"total":58,"page":21,"page_size":58,"items":71},[72,145,208,292,330,404],{"id":73,"title":74,"url":75,"summary":76,"summary_zh":77,"content":8,"source_name":78,"source_url":75,"published_at":79,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":80,"score_detail":81,"sources":86,"tags":88,"primary_topic":92,"secondary_topics":93,"classification":94,"search_phrases":125,"slug":128,"view_count":61,"doi":129,"paper":130,"created_at":144},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":17,"substance":82,"depth":18,"authority":83,"freshness":84,"relevant":21,"comment":85},23,13,9,"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。",[87],{"name":78,"url":75},[26,47,89,90,91],"县域经济","农业政策","农村创业",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":95},{"candidates":96,"agricultural_evidence":44},[97,103,110,116,121],{"code":30,"score":98,"supported":44,"title":99,"abstract":101,"tags":102},15,[100],"digital village",[47,100],[47],{"code":104,"score":58,"supported":44,"title":105,"abstract":106,"tags":109},"I2",[],[107,108],"机器学习","machine learning",[],{"code":111,"score":43,"supported":44,"title":112,"abstract":113,"tags":115},"G",[],[114],"rural development",[],{"code":117,"score":20,"supported":13,"title":118,"abstract":119,"tags":120},"G4",[],[],[91,89],{"code":50,"score":21,"supported":13,"title":122,"abstract":123,"tags":124},[],[],[26],[126,127],"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":129,"openalex_id":131,"authors":132,"venue":78,"cited_by_count":61,"oa_url":75,"card":138,"direction":66,"ingested_from":143},"W7223041086",[133,135],{"name":134,"orcid":8},"Su Li",{"name":136,"orcid":137},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":139,"method":140,"finding":141,"direction":66,"opportunity":142},"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。","openalex","2026-10-21T23:30:07.205317Z",{"id":146,"title":147,"url":148,"summary":149,"summary_zh":150,"content":8,"source_name":78,"source_url":148,"published_at":151,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":152,"score_detail":153,"sources":157,"tags":159,"primary_topic":164,"secondary_topics":165,"classification":166,"search_phrases":180,"slug":183,"view_count":43,"doi":184,"paper":185,"created_at":207},4205,"A socio-technical mechanism of the agricultural digital divide: Ecuador within a heterogeneous Latin American context","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1957539","Digital agriculture can improve farm management, resource-use efficiency, and decision-making; however, access to technology alone does not guarantee equivalent economic benefits. This perspective article conceptualizes the agricultural digital divide as a socio-technical and economic inequality that can arise along a sequence linking structural conditions, resource accessibility, capability formation, technological appropriation, productive integration, economic value realization, and value capture and benefit distribution. This definition extends the analysis beyond connectivity and adoption by considering whether agricultural actors can integrate technologies into viable productive activities and retain a significant share of the value generated. Institutions, extension services, cooperatives, financing mechanisms, technology providers, business models, and data governance can shape the transitions between these stages. Ecuador is examined as a focal analytical case within a heterogeneous Latin America, without assuming regional representativeness. The framework redirects the evaluation of digitalization away from the number of technologies deployed and toward their productive appropriation, economic viability, and the distribution of their benefits, thereby reinforcing the relationship between digital transformation and agricultural economics.","数字农业可以改善农场管理、资源利用效率和决策，然而仅获得技术并不保证能带来同等的经济效益。这篇观点性文章将农业数字鸿沟概念化为一种社会—技术与经济不平等，它可能沿着一条由结构性条件、资源可及性、能力形成、技术 appropriation、生产性整合、经济价值实现，以及价值获取与收益分配相连接的序列而产生。该定义将分析从连通性和采用扩展到农业主体能否将技术整合进可行的生产活动，并保留所创造价值的显著份额。制度、推广服务、合作社、融资机制、技术提供者、商业模式和数据治理可以塑造这些阶段之间的过渡。厄瓜多尔被作为一个异质性拉丁美洲中的焦点分析案例加以考察，但不假定其具有区域代表性。该框架将数字化的评估重点从已部署技术的数量转向其生产性 appropriation、经济可行性及其收益分配，从而强化数字化转型与农业经济学之间的关系。","2026-10-05T00:00:00Z",78,{"impact":154,"substance":155,"depth":18,"authority":83,"freshness":12,"relevant":21,"comment":156},16,21,"从社会技术视角重构农业数字鸿沟分析框架，超越接入率指标，对数字乡村与智慧农业政策评估有借鉴价值。",[158],{"name":78,"url":148},[26,160,161,162,163],"农业经济","数据治理","数字鸿沟","拉美农业",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":167},{"candidates":168,"agricultural_evidence":44},[169,174],{"code":30,"score":154,"supported":44,"title":170,"abstract":172,"tags":173},[171],"digital divide",[162,171],[162,161],{"code":50,"score":175,"supported":44,"title":176,"abstract":177,"tags":179},7,[],[26,178],"digital agriculture",[26],[181,182],"厄瓜多尔 农业数字鸿沟","拉美 数字农业 经济","厄瓜多尔农业数字鸿沟-4205","10.3389\u002Ffsufs.2026.1957539",{"doi":184,"openalex_id":186,"authors":187,"venue":78,"cited_by_count":61,"oa_url":148,"card":202,"direction":66,"ingested_from":143},"W7219729057",[188,191,194,196,199],{"name":189,"orcid":190},"Raquel Gomez","https:\u002F\u002Forcid.org\u002F0000-0002-0436-7518",{"name":192,"orcid":193},"Karina Real-Avilés","https:\u002F\u002Forcid.org\u002F0000-0002-9630-3422",{"name":195,"orcid":8},"Ana Arellano-Arcentales",{"name":197,"orcid":198},"Paola Grijalva-Arriaga","https:\u002F\u002Forcid.org\u002F0000-0003-2616-417X",{"name":200,"orcid":201},"Mariana Marisol Briones Zambrano","https:\u002F\u002Forcid.org\u002F0000-0002-9481-2426",{"tldr":203,"method":204,"finding":205,"direction":66,"opportunity":206},"将农业数字鸿沟概念化为从结构条件到价值分配的社会技术经济不平等序列，并以厄瓜多尔为例。","概念性框架分析，结合厄瓜多尔案例与拉美异质性背景。","数字农业评估应从技术部署数量转向生产性挪用、经济可行性与收益分配。","可实证检验各阶段转换机制，并比较不同拉美国家数字农业价值捕获差异。","2026-10-05T23:30:07.312755Z",{"id":209,"title":210,"url":211,"summary":212,"summary_zh":213,"content":8,"source_name":78,"source_url":211,"published_at":214,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":215,"score_detail":216,"sources":219,"tags":221,"primary_topic":225,"secondary_topics":226,"classification":227,"search_phrases":272,"slug":275,"view_count":20,"doi":276,"paper":277,"created_at":291},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":17,"substance":82,"depth":18,"authority":83,"freshness":217,"relevant":21,"comment":218},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。",[220],{"name":78,"url":211},[26,47,222,223,224],"乡村振兴","城乡融合","农村人口流动",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":228},{"candidates":229,"agricultural_evidence":44},[230,234,241,248,253,258,263,268],{"code":30,"score":98,"supported":44,"title":231,"abstract":232,"tags":233},[100],[47,100],[47],{"code":235,"score":58,"supported":44,"title":236,"abstract":237,"tags":240},"G2",[],[238,239],"土地流转","land transfer",[],{"code":242,"score":58,"supported":44,"title":243,"abstract":244,"tags":247},"J2",[],[245,246],"农业现代化","agricultural modernization",[],{"code":111,"score":249,"supported":44,"title":250,"abstract":251,"tags":252},4,[],[222],[222],{"code":117,"score":43,"supported":44,"title":254,"abstract":255,"tags":257},[],[256],"乡村产业",[],{"code":259,"score":43,"supported":44,"title":260,"abstract":261,"tags":262},"G6",[],[223],[],{"code":264,"score":21,"supported":13,"title":265,"abstract":266,"tags":267},"G5",[],[],[223],{"code":50,"score":21,"supported":13,"title":269,"abstract":270,"tags":271},[],[],[26],[273,274],"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":276,"openalex_id":278,"authors":279,"venue":78,"cited_by_count":61,"oa_url":211,"card":286,"direction":66,"ingested_from":143},"W7214148499",[280,282,284],{"name":281,"orcid":8},"Deshan Li",{"name":283,"orcid":8},"Shuangqiang Li",{"name":285,"orcid":8},"Fengming Li",{"tldr":287,"method":288,"finding":289,"direction":66,"opportunity":290},"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",{"id":293,"title":294,"url":295,"summary":296,"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":297,"score_detail":298,"sources":300,"tags":302,"primary_topic":305,"secondary_topics":306,"classification":307,"search_phrases":318,"slug":321,"view_count":249,"doi":8,"paper":322,"created_at":329},1708,"数字农业对中国农村收入不平等的影响——基于 30 省面板数据的阈值效应研究","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7681649578591961629\u002F","Frontiers in Sustainable Food Systems 2026 卷次发表中国面板数据论文。研究基于全国 30 个省份面板数据，实证检验数字农业发展对农村收入不平等的影响及其作用机制。研究发现数字农业对农村收入不平等的影响存在显著的双重阈值效应：在低水平阶段会先扩大不平等（数字鸿沟），达到第一阈值后逐步收敛，超过第二阈值后显著缩小收入差距。研究为因地制宜推进数字乡村建设、缩小农村收入差距提供了实证依据。",76,{"impact":16,"substance":17,"depth":18,"authority":12,"freshness":58,"relevant":21,"comment":299},"基于30省面板数据的实证研究，揭示数字农业对农村收入不平等的双重阈值效应，为政策制定提供依据，具有较高学术价值和实践参考。",[301],{"name":9,"url":295},[26,47,303,304],"面板数据","收入不平等",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":308},{"candidates":309,"agricultural_evidence":44},[310,314],{"code":50,"score":19,"supported":44,"title":311,"abstract":312,"tags":313},[26],[26],[26],{"code":30,"score":175,"supported":44,"title":315,"abstract":316,"tags":317},[],[47,162],[47],[319,320],"收入不平等 数字乡村 数字农业 面板数据","收入不平等 数字乡村","收入不平等数字乡村数字农业面板数据-1708",{"doi":8,"openalex_id":8,"authors":323,"venue":8,"cited_by_count":61,"oa_url":8,"card":324,"direction":66,"ingested_from":68},[],{"tldr":325,"method":326,"finding":327,"direction":66,"opportunity":328},"研究数字农业对农村收入不平等的影响，发现存在双重阈值效应。","基于30省面板数据，采用阈值效应模型实证分析。","数字农业对收入不平等呈先扩大后缩小的非线性影响。","可探索不同地区数字农业发展阶段差异，研究如何跨越数字鸿沟阈值，实现包容性增长。","2026-09-05T00:04:41.072452Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":8,"content":8,"source_name":335,"source_url":8,"published_at":336,"category":337,"cover_url":8,"hotness":12,"is_selected":13,"score":338,"score_detail":339,"sources":342,"tags":344,"primary_topic":349,"secondary_topics":350,"classification":351,"search_phrases":398,"slug":401,"view_count":402,"doi":8,"paper":8,"created_at":403},132,"数字技术如何重塑青岛农业生产模样——市级农业大数据中心整合八千多万条涉农信息,覆盖1300余处\"菜篮子\"基地实时画面","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260728\u002F20260728_7\u002Fnmrb_20260728_13362_7_2081856517485727842.html","农民日报报道:青岛市紧扣农业新质生产力培育主线,搭建市级农业数字管理平台、普及各类智能农机、落地标准化智慧大棚、攻坚特色生物育种。市级农业大数据中心整合八千多万条涉农信息,接入全市1300多处\"菜篮子\"基地实时画面,土壤墒情、作物长势、园区环境全部直观呈现;智能蔬菜大棚环境异常自动推送预警,工作人员线上指导农户精准调整管护方案,实现从\"经验种地\"向\"数据种地\"转变。莱西沽河万亩粮食示范区植保无人机单次作业半小时完成百亩;夏格庄羊肚菌基地配套智能温控加湿补光设备,农户在家手机远程调控;凯盛浩丰智慧产业园玻璃大棚内樱桃番茄采收周期更长、总产量翻倍,水肥供给精准到每分钟用量。","农民日报 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山东青岛 数字农业 智慧农业","农业大数据 山东青岛","农业大数据山东青岛数字农业智慧农业-132",11,"2026-08-01T06:01:52.491401Z",{"id":405,"title":406,"url":407,"summary":408,"summary_zh":409,"content":8,"source_name":410,"source_url":407,"published_at":411,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":412,"score_detail":413,"sources":415,"tags":417,"primary_topic":421,"secondary_topics":422,"classification":423,"search_phrases":444,"slug":447,"view_count":61,"doi":448,"paper":449,"created_at":465},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",80,{"impact":18,"substance":17,"depth":18,"authority":83,"freshness":84,"relevant":21,"comment":414},"基于CFPS三期面板数据的微观实证，方法规范、结论有新意，对数字乡村与共同富裕政策有参考价值，值得进入每日精选。",[416],{"name":410,"url":407},[47,418,419,420,304],"数字素养","共同富裕","农民收入",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":424},{"candidates":425,"agricultural_evidence":44},[426,430,436,440],{"code":30,"score":217,"supported":44,"title":427,"abstract":428,"tags":429},[],[47,100],[47,418],{"code":259,"score":58,"supported":44,"title":431,"abstract":432,"tags":435},[],[433,434],"农户收入","rural income",[],{"code":111,"score":43,"supported":44,"title":437,"abstract":438,"tags":439},[],[114],[],{"code":117,"score":21,"supported":13,"title":441,"abstract":442,"tags":443},[],[],[419],[445,446],"CFPS 数字素养 农户收入","数字素养 农村收入差距","CFPS数字素养农户收入-5581","10.3390\u002Fsu182010689",{"doi":448,"openalex_id":450,"authors":451,"venue":410,"cited_by_count":61,"oa_url":407,"card":460,"direction":66,"ingested_from":143},"W7223105459",[452,455,458],{"name":453,"orcid":454},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":456,"orcid":457},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":459,"orcid":8},"Fangping Cao",{"tldr":461,"method":462,"finding":463,"direction":66,"opportunity":464},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","2026-10-22T11:20:47.675827Z"]