[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-196":3,"related-196":61},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":56,"slug":59,"view_count":13,"doi":8,"paper":8,"created_at":60},196,"数字乡村发展政策的共同富裕效应研究——来自中国县域面板数据的经验证据","https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012","基于数字乡村发展政策这一准自然实验,统计中国2011-2022年2675个县域面板数据,系统考察数字乡村发展政策对共同富裕的影响效应及其作用机制。研究发现:数字乡村发展政策把数字技术和数字平台嵌入农业生产各环节与乡村生活各领域,能够有效提升农民收入水平、缓解农村内部收入不平等、缩小城乡收入差距。机制分析表明作用机制为产业融合-组织培育-经济机会,即政策不仅能够赋能农业接二连三,催生一批懂技术、会经营的经营主体,还可拓展非农就业机会,助力共同富裕。",null,"检测到您正在使用 Safari 浏览器，可能影响导出功能的正常使用，建议您下载 [Google Chrome](https:\u002F\u002Fwww.google.cn\u002Fintl\u002Fzh-CN\u002Fchrome\u002F)、 [Microsoft 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[10.3969\u002Fj.issn.1003-7470.2026.04.012](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n数字乡村发展政策的共同富裕效应研究——来自中国县域面板数据的经验证据\n\n 文摘阅读 12\n\n 下载 0\n\n 导出题录 0\n\n 被引 0\n\n[邓金钱](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[李潇](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n[兰州大学经济学院 甘肃兰州 730000](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n[在线阅读](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[下载](https:\u002F\u002Foss.wanfangdata.com.cn\u002Ffile\u002Fdownload\u002Fperio_ncjj202604012.aspx)[评审材料](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n引用\n\n收藏\n\n分享\n\n打印\n\n摘要：数字乡村系统性地重塑了乡村的经济结构与社会生态,为实现共同富裕提供了前所未有的新机遇.本文采用\"数字乡村发展政策\"这一准自然实验,统计中国 2011-2022年 2675个县域的面板数据,系统考察了数字乡村发展政策对共同富裕的影响效应及其作用机制.研究发现:数字乡村发展政策把数字技术和数字平台嵌入农业生产各环节与乡村生活各领域,能够有效提升农民收入水平,缓解农村内部收入不平等、缩小城乡收入差距,有助于实现共同富裕.机制分析表明,数字乡村发展政策影响共同富裕的作用机制为\"产业融合-组织培育-经济机会\",即数字乡村发展政策不仅能够赋能农业\"接二连三\",催生一批懂技术、会经...\n\n关键词：\n\n[数字乡村](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[共同富裕](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[农民收入](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[农村内部收入不平等](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)[城乡收入差距](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n分类号：\n\nF323.8(中国农业经济)\n\n资助基金：\n\n[中央高校基本科研业务费文科振兴计划B类团队项目](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E4%B8%AD%E5%A4%AE%E9%AB%98%E6%A0%A1%E5%9F%BA%E6%9C%AC%E7%A7%91%E7%A0%94%E4%B8%9A%E5%8A%A1%E8%B4%B9%E6%96%87%E7%A7%91%E6%8C%AF%E5%85%B4%E8%AE%A1%E5%88%92B%E7%B1%BB%E5%9B%A2%E9%98%9F%E9%A1%B9%E7%9B%AE) ( 2024lzujbkyqm018 ) \n\n文献发表日期：\n\n 2026-07-01 \n\n在线出版日期：\n\n 2026-07-17 （万方平台首次上网日期，不代表文献的发表时间）\n\n页数：\n\n14 ( 104-117 )\n\n英文信息\n\n![Image 7](https:\u002F\u002Fc.wanfangdata.com.cn\u002F\u002Fimages\u002FPeriodicalImages\u002Fncjj\u002Fncjj.jpg)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fncjj202604012)\n\n[农村经济](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fncjj)\n\n CSTPCD  北大核心  CSSCI  AMI \n\nISSN：1003-7470\n\n年,卷(期)：[2026(4)](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fncjj?tabId=article&publishYear=2026&issueNum=4)\n\n所属栏目：[城乡融合](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fncjj\u002F?tabId=column&yearType=all&ztext=%E5%9F%8E%E4%B9%A1%E8%9E%8D%E5%90%88 \"城乡融合\")\n\n相关文献  换一换\n\n1.[县域创业活动促进农民增收的效应研究——基于1 746个县域的面板数据分析](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fahnykx202611040 \"县域创业活动促进农民增收的效应研究——基于1 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2026-07-17上网","2026-07-17T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},25,22,18,14,2,1,"基于大规模县域面板数据的实证研究，揭示数字乡村政策对共同富裕的促进作用，具有较高学术价值和政策参考意义，但发表时间较早。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","共同富裕","县域面板","中介效应","农业政策",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,51],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":50},12,true,[27],[27],[27],{"code":52,"score":22,"supported":14,"title":53,"abstract":54,"tags":55},"G4",[],[],[28],[57,58],"中介效应 共同富裕 农业政策 县域面板","中介效应 共同富裕","中介效应共同富裕农业政策县域面板-196","2026-08-04T01:15:47.369167Z",{"total":62,"page":22,"page_size":62,"items":63},6,[64,137,204,254,298,343],{"id":65,"title":66,"url":67,"summary":68,"summary_zh":69,"content":8,"source_name":70,"source_url":67,"published_at":71,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":72,"score_detail":73,"sources":77,"tags":79,"primary_topic":83,"secondary_topics":84,"classification":85,"search_phrases":112,"slug":115,"view_count":116,"doi":117,"paper":118,"created_at":136},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":19,"substance":18,"depth":19,"authority":74,"freshness":75,"relevant":22,"comment":76},13,9,"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。",[78],{"name":70,"url":67},[27,80,28,81,82],"数字素养","农民收入","收入不平等",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":86},{"candidates":87,"agricultural_evidence":47},[88,94,101,108],{"code":33,"score":89,"supported":47,"title":90,"abstract":91,"tags":93},8,[],[27,92],"digital village",[27,80],{"code":95,"score":62,"supported":47,"title":96,"abstract":97,"tags":100},"G6",[],[98,99],"农户收入","rural income",[],{"code":102,"score":103,"supported":47,"title":104,"abstract":105,"tags":107},"G",3,[],[106],"rural development",[],{"code":52,"score":22,"supported":14,"title":109,"abstract":110,"tags":111},[],[],[28],[113,114],"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",0,"10.3390\u002Fsu182010689",{"doi":117,"openalex_id":119,"authors":120,"venue":70,"cited_by_count":116,"oa_url":67,"card":129,"direction":133,"ingested_from":135},"W7223105459",[121,124,127],{"name":122,"orcid":123},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":125,"orcid":126},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":128,"orcid":8},"Fangping Cao",{"tldr":130,"method":131,"finding":132,"direction":133,"opportunity":134},"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。","数字乡村与农业信息化","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。","openalex","2026-10-22T11:20:47.675827Z",{"id":138,"title":139,"url":140,"summary":141,"summary_zh":142,"content":8,"source_name":143,"source_url":140,"published_at":144,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":145,"score_detail":146,"sources":149,"tags":151,"primary_topic":155,"secondary_topics":156,"classification":157,"search_phrases":185,"slug":188,"view_count":116,"doi":189,"paper":190,"created_at":203},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":147,"depth":19,"authority":74,"freshness":75,"relevant":22,"comment":148},23,"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。",[150],{"name":143,"url":140},[152,27,153,31,154],"数字农业","县域经济","农村创业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":158},{"candidates":159,"agricultural_evidence":47},[160,165,172,176,180],{"code":33,"score":161,"supported":47,"title":162,"abstract":163,"tags":164},15,[92],[27,92],[27],{"code":166,"score":62,"supported":47,"title":167,"abstract":168,"tags":171},"I2",[],[169,170],"机器学习","machine learning",[],{"code":102,"score":103,"supported":47,"title":173,"abstract":174,"tags":175},[],[106],[],{"code":52,"score":21,"supported":14,"title":177,"abstract":178,"tags":179},[],[],[154,153],{"code":181,"score":22,"supported":14,"title":182,"abstract":183,"tags":184},"I1",[],[],[152],[186,187],"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":189,"openalex_id":191,"authors":192,"venue":143,"cited_by_count":116,"oa_url":140,"card":198,"direction":133,"ingested_from":135},"W7223041086",[193,195],{"name":194,"orcid":8},"Su Li",{"name":196,"orcid":197},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":199,"method":200,"finding":201,"direction":133,"opportunity":202},"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":205,"title":206,"url":207,"summary":208,"summary_zh":8,"content":8,"source_name":209,"source_url":8,"published_at":210,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":211,"score_detail":212,"sources":216,"tags":218,"primary_topic":222,"secondary_topics":223,"classification":224,"search_phrases":240,"slug":243,"view_count":244,"doi":8,"paper":245,"created_at":253},3654,"数字乡村建设、农旅融合与农民农村共同富裕","http:\u002F\u002Fxn--vhqr8o5pj9uhezh2nrx2biude8o.com\u002Fqikan_detail.asp?id=13109","巴责达发表于《商业经济研究》2026年第9期。本文基于2012—2023年我国30个省份面板数据，探析数字乡村建设、农旅融合与农民农村共同富裕之间的关系。研究发现：数字乡村建设可显著影响农民农村共同富裕，这一结论在相关稳健性检验中得到验证。中介效应检验显示，数字乡村建设可通过促进农旅融合，间接赋能农民农村共同富裕。异质性分析表明，数字乡村建设对东部地区农民农村共同富裕的驱动作用更强。空间效应检验显示，数字乡村建设对本地区、邻近地区农民农村共同富裕呈现正向空间溢出效应。","商业经济研究 2026年第9期 (巴责达)","2026-09-15T00:00:00Z",74,{"impact":19,"substance":213,"depth":19,"authority":74,"freshness":214,"relevant":22,"comment":215},21,4,"基于30省面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且已发表近两周，时效性一般。",[217],{"name":209,"url":207},[27,219,28,220,221],"空间溢出","农旅融合","省域面板数据",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":225},{"candidates":226,"agricultural_evidence":47},[227,231,235],{"code":33,"score":46,"supported":47,"title":228,"abstract":229,"tags":230},[27],[27],[27],{"code":52,"score":22,"supported":14,"title":232,"abstract":233,"tags":234},[],[],[28],{"code":236,"score":22,"supported":14,"title":237,"abstract":238,"tags":239},"I4",[],[],[219],[241,242],"数字乡村 农旅融合 共同富裕","巴责达 商业经济研究","数字乡村农旅融合共同富裕-3654",7,{"doi":8,"openalex_id":8,"authors":246,"venue":8,"cited_by_count":116,"oa_url":8,"card":247,"direction":133,"ingested_from":252},[],{"tldr":248,"method":249,"finding":250,"direction":133,"opportunity":251},"基于2012—2023年30省面板数据，检验数字乡村建设通过农旅融合促进农民农村共同富裕的效应。","30省面板数据，中介效应、异质性分析与空间溢出检验。","数字乡村建设显著促进共同富裕，农旅融合起中介作用，东部更强且有正向空间溢出。","可深入探究农旅融合的中介机制与空间溢出的衰减边界，并关注中西部数字乡村的差异化路径。","agent","2026-09-28T00:03:02.637755Z",{"id":255,"title":256,"url":257,"summary":258,"summary_zh":8,"content":8,"source_name":259,"source_url":8,"published_at":260,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":261,"score_detail":262,"sources":264,"tags":266,"primary_topic":270,"secondary_topics":271,"classification":272,"search_phrases":286,"slug":289,"view_count":62,"doi":8,"paper":290,"created_at":297},3123,"Turning Data into Sustainability: Agricultural Big Data Policy, Capital Composition, and Rural Eco-Environmental Sustainability in China（数据转化为可持续性：中国农业大数据政策、资本构成与农村生态环境可持续性）","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9478","湖南第一师范学院马克思主义学院 Zhumiao Wang 等联合吉林大学、韩国圆光大学在《Sustainability》18(18): 9478 发表论文（2026-09-16 发表）。农村环境退化是分散的、监测薄弱的、难以治理的，是可持续发展目标（SDGs）最持久的障碍之一。以 2010-2024 年中国 271 个城市面板数据为基础，以 2016 年农业农村大数据政策（ABDP）试点为\"准自然实验\"，采用交错双重差分（DID）设计估计政策对农村生态环境可持续性（RES）的效应。结果显示 ABDP 使 RES 提升 0.0015 个指数点（相当于样本均值 2.91%、分布 6.8 个百分位点）；效应规模取决于政策所面临的资本存量：随农业机械化（AM）上升而下降并在高机械化水平下变得不显著，随数字资本（DC）上升而上升；田间\"做什么\"的资本替代信息，向田间\"传递信息\"的资本补充信息。增益集中在生产—环境维度。","MDPI Sustainability","2026-09-16T00:00:00Z",84,{"impact":18,"substance":147,"depth":19,"authority":74,"freshness":89,"relevant":22,"comment":263},"基于271城面板数据的交错DID实证，量化农业大数据政策对农村生态可持续性的效应及资本构成的调节作用，方法规范、结论有政策参考价值。",[265],{"name":259,"url":257},[27,267,31,268,269],"农业大数据","双重差分","农村生态环境",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":273},{"candidates":274,"agricultural_evidence":47},[275,279],{"code":33,"score":13,"supported":47,"title":276,"abstract":277,"tags":278},[267],[],[267,27],{"code":280,"score":62,"supported":47,"title":281,"abstract":282,"tags":285},"F5",[],[283,284],"农业机械","机械化",[],[287,288],"农业大数据政策 农村生态环境","Zhumiao Wang 农业大数据","农业大数据政策农村生态环境-3123",{"doi":8,"openalex_id":8,"authors":291,"venue":8,"cited_by_count":116,"oa_url":8,"card":292,"direction":133,"ingested_from":252},[],{"tldr":293,"method":294,"finding":295,"direction":133,"opportunity":296},"以2016年农业大数据政策试点为准自然实验，评估其对中国农村生态环境可持续性的影响。","2010-2024年271个城市面板数据，交错双重差分（DID）设计。","政策使农村生态可持续性提升约2.91%，效应随数字资本上升、随机械化上升而减弱。","可探究数字资本与机械资本的替代\u002F互补机制，及政策效应在非生产维度的异质性。","2026-09-22T00:05:38.376954Z",{"id":299,"title":300,"url":301,"summary":302,"summary_zh":8,"content":303,"source_name":304,"source_url":8,"published_at":305,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":306,"score_detail":307,"sources":310,"tags":312,"primary_topic":318,"secondary_topics":319,"classification":320,"search_phrases":336,"slug":339,"view_count":214,"doi":8,"paper":340,"created_at":342},1033,"数字乡村建设对农业新质生产力的影响效应与作用机制——基于2012—2023年30省份面板数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html","原文标题:数字乡村建设对农业新质生产力的影响效应与作用机制。作者:杜一鸣、贾慧静、王强(西安交通大学马克思主义学院等)。基于2012—2023年中国30个省份的面板数据,采用双向固定效应模型,实证检验数字乡村建设对农业新质生产力的影响,并引入中介效应模型和调节效应模型考察农村创新创业活跃度的中介作用以及农村产业融合的调节效应。研究结果表明:数字乡村建设可以显著促进农业新质生产力提升,且这种促进作用在'胡焕庸线'以东地区、非粮食主产区及农业新质生产力水平较高的地区更为显著;农村创新创业活跃度发挥了部分中介作用;农村产业融合对数字乡村建设与农业新质生产力之间的关系具有显著的正向调节作用。","0\n\n发表咨询在线!\n\n###### 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[统计与决策2026年第01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T01T15982\u002F)\n3.   [数字乡村建设对农业新质生产力的影响效应与作用机制](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127584.html)\n\n# 统计与决策2026年第01期：数字乡村建设对农业新质生产力的影响效应与作用机制\n\n来源：[期刊VIP网](http:\u002F\u002Fwww.qikanvip.com\u002F)时间： 2026年8月28日 星期五\n\n* * *\n\n作者：杜一鸣;贾慧静;王强;\n\n单位：西安交通大学马克思主义学院;延安大学政法与公共管理学院;温州理工学院经济与管理学院;\n\n**摘要：**在加快培育新质生产力的背景下，数字乡村建设已成为推动农业现代化和农业生产力提升的重要路径，但其对农业新质生产力的作用路径与内在机制仍有待系统考察。文章基于2012—2023年中国30个省份的面板数据，采用双向固定效应模型，实证检验数字乡村建设对农业新质生产力的影响，并进一步引入中介效应模型和调节效应模型，考察农村创新创业活跃度的中介作用以及农村产业融合的调节效应。研究结果表明：数字乡村建设可以显著促进农业新质生产力提升，且这种促进作用在“胡焕庸线”以东地区、非粮食主产区及农业新质生产力水平较高的地区更为显著。从作用机制看，农村创新创业活跃度在数字乡村建设与农业新质生产力之间发挥了部分中介作用，数字要素投入通过激发农村创新创业活动加速了新质劳动者、新质劳动资料与新质劳动对象的形成与升级。此外，农村产业融合对数字乡村建设与农业新质生产力之间的关系具有显著的正向调节作用，农村产业融合水平越高，数字乡村建设对农业新质生产力的赋能作用越强。\n\n**关键词：**数字乡村建设;;农业新质生产力;;农村创新创业活跃度;;产业融合\n\n**基金资助：**浙江省哲学社会科学规划“省市合作”课题（25SSHZ079YB）\n\n##### 该杂志刊期列表\n\n2026年[02期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T02T15982\u002F)[01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2026T01T15982\u002F)2025年[24期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T24T15982\u002F)[23期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T23T15982\u002F)[22期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T22T15982\u002F)[21期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T21T15982\u002F)[20期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T20T15982\u002F)[19期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T19T15982\u002F)[18期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T18T15982\u002F)[17期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T17T15982\u002F)[16期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T16T15982\u002F)[15期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T15T15982\u002F)[14期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T14T15982\u002F)[13期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T13T15982\u002F)[12期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T12T15982\u002F)[11期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T11T15982\u002F)[10期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T10T15982\u002F)[09期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T09T15982\u002F)[08期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T08T15982\u002F)[07期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T07T15982\u002F)[06期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T06T15982\u002F)[05期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T05T15982\u002F)[04期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T04T15982\u002F)[03期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T03T15982\u002F)[02期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T02T15982\u002F)[01期](http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F2025T01T15982\u002F)\n\n##### 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统计与决策](http:\u002F\u002Fwww.qikanvip.com\u002Fstatic\u002Fhexin\u002Ftjjc.jpg)统计与决策 北大核心 CSSCI AMI扩展 ISSN：1002-6487 CN：42-1009\u002FC 出版地：北京市 主办单位：湖北长江报刊传媒(集团)有限公司 主管单位：长江出版传媒股份有限公司 复合影响因子：9.86 综合影响因子：6.682 创刊时间：1984 期刊官网：http:\u002F\u002Fwww.tjyjc.com\u002F出版周期：半月](http:\u002F\u002Ftjjc.qikanvip.com\u002F \"统计与决策\")\n\n期刊VIP网专注学术论文咨询指导、国外出版指导、国内出版指导，提供全方位专业服务，论文指导服务涵盖SCI、SSCI、EI、SCOPUS，论文指导服务内容包括翻译、润色、预审，期刊指导服务内容包括期刊推荐、发表支持。您可以与学术顾问沟通，介绍自己的学术需求，制定专属学术服务方案。\n\n* * *\n\nwww.qikanvip.com版权所有 仿冒必究 投诉邮箱：qianyanns@163.com [京ICP备17075097号-4](http:\u002F\u002Fbeian.miit.gov.cn\u002F \"工信部备案系统\")\n\n**科核2个月出刊 收稿方向**\n\n#### [方向：就业、人力资源 ##### 了解适投期刊 #### 方向：法律、财务、经济 ##### 了解适投期刊 #### 方向：人才培养、企业管理 ##### 了解适投期刊 #### 方向：计算机、机械、电力 ##### 了解适投期刊 #### 方向：化工、医药化工 ##### 了解适投期刊 #### 方向：物流、环保、汽车 ##### 了解适投期刊 #### 方向：知识产权、营销 ##### 了解适投期刊 #### 方向：舞蹈、绘画、雕塑、美术 ##### 了解适投期刊 #### 方向：艺术设计、视觉设计、创意设计 ##### 了解适投期刊 #### 方向：广告、创意设计 ##### 了解适投期刊 #### 方向：室内设计、装饰设计 ##### 了解适投期刊 #### 方向：文创设计、平面设计 ##### 了解适投期刊 #### 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2026(1)","2026-08-20T16:00:00Z",76,{"impact":308,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":309},20,"基于省级面板数据的实证研究，探讨数字乡村建设对农业新质生产力的影响机制，数据详实、方法规范，但发表于2026年第1期，时效性较低。",[311],{"name":304,"url":301},[27,313,30,314,315,316,317],"农业新质生产力","双向固定效应","30省份面板","产业融合","胡焕庸线",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":321},{"candidates":322,"agricultural_evidence":47},[323,327,331],{"code":33,"score":46,"supported":47,"title":324,"abstract":325,"tags":326},[27],[27],[27],{"code":52,"score":22,"supported":14,"title":328,"abstract":329,"tags":330},[],[],[316],{"code":332,"score":22,"supported":14,"title":333,"abstract":334,"tags":335},"J2",[],[],[313],[337,338],"农业新质生产力 双向固定效应 30省份面板 中介效应","农业新质生产力 双向固定效应","农业新质生产力双向固定效应30省份面板中介效应-1033",{"doi":8,"openalex_id":8,"authors":341,"venue":8,"cited_by_count":116,"oa_url":8,"card":8,"direction":8,"ingested_from":252},[],"2026-08-28T00:07:02.181336Z",{"id":344,"title":345,"url":346,"summary":347,"summary_zh":8,"content":348,"source_name":349,"source_url":8,"published_at":350,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":211,"score_detail":351,"sources":353,"tags":355,"primary_topic":359,"secondary_topics":360,"classification":361,"search_phrases":381,"slug":384,"view_count":214,"doi":8,"paper":8,"created_at":385},792,"数字乡村发展与县域共同富裕:来自中国湖北省的证据(原标题:Digital Rural Development and County-Level Common Prosperity: Evidence from Hubei Province, China)","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519","曹清华、张明茹、朱冰奇以湖北省为样本,实证检验数字乡村发展对县域共同富裕水平的影响。基于县域面板数据构建数字乡村发展指数与共同富裕指标,采用多种计量方法(固定效应、工具变量、空间计量)进行系统检验。研究发现数字乡村发展对县域共同富裕具有显著正向影响,且该效应在空间上呈现外溢特征;通过机制分析发现数字基础设施、数字产业、数字治理三条路径起中介作用。研究为中部农业大省推进数字乡村建设与共同富裕示范提供政策启示,丰富了数字乡村与共同富裕理论体系。","## 1. Introduction\n\nThe 2026 No. 1 Central Document of China emphasizes the need to foster county-level industries that increase rural incomes, advance high-quality digital rural development, improve rural digital infrastructure, and enhance public service provision. These policy priorities indicate that digital rural development has become an important strategic initiative for advancing agricultural and rural modernization and promoting urban–rural integration, thereby providing a solid institutional foundation for achieving common prosperity at the county level [[1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B1-sustainability-18-08519)]. With the rapid development of new-generation digital technologies, such as big data, artificial intelligence (AI), and the Internet of Things (IoT), digital technologies have been increasingly integrated into rural production, public service provision, and grassroots governance, reshaping production systems, governance models, and resource allocation in rural areas [[2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B2-sustainability-18-08519)]. Previous studies have shown that digital rural development contributes to more efficient factor allocation, improved public service delivery, and higher rural household incomes, making it an increasingly important pathway for narrowing the urban–rural development gap and promoting common prosperity [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B3-sustainability-18-08519)]. Hubei Province, located in central China, lies at the intersection of several major national development strategies, including the Yangtze River Economic Belt, the Rise of Central China Strategy, and the Middle Reaches of the Yangtze River Urban Agglomeration. It is also one of China’s key provinces for implementing digital rural development policies. Owing to its diverse geographical conditions—including plains, hills, and mountainous areas—counties within Hubei exhibit substantial differences in economic development, industrial structure, resource endowments, and levels of digital rural development. These characteristics make Hubei a representative case for examining county-level digital rural development in China. In recent years, Hubei has implemented a series of policies, such as the Three-Year Action Plan for Building a Strong Digital Economy Province (2022–2024), to promote digital rural development and strengthen county-level economic development. Although these initiatives have generated positive outcomes, challenges such as insufficient industrial integration and unequal public service provision continue to constrain high-quality county development and the realization of common prosperity. Therefore, Hubei provides an appropriate empirical setting for examining the effects and underlying mechanisms through which digital rural development promotes county-level common prosperity.\n\nAgainst the backdrop of growing scholarly attention to digital rural development and common prosperity, it is necessary to revisit the theoretical foundations of common prosperity. Early classical theories suggest that income inequality follows an inverted-U trajectory during economic development, thereby providing an important theoretical foundation for subsequent studies on common prosperity [[4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B4-sustainability-18-08519)]. Building on this perspective, subsequent empirical research has confirmed a significant nonlinear relationship between income inequality and economic growth, accompanied by pronounced regional heterogeneity [[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B5-sustainability-18-08519),[6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B6-sustainability-18-08519)]. As the theoretical framework has evolved, increasing attention has been paid to the concept of inclusive growth, which emphasizes that economic development should enable all members of society to participate in and benefit from the development process [[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B7-sustainability-18-08519)]. Meanwhile, rapid advances in digital technologies have created new opportunities for promoting common prosperity. Existing studies indicate that digital technologies can stimulate innovation in agricultural production, improve industrial efficiency [[8](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B8-sustainability-18-08519)], reshape agricultural production, circulation, and consumption through information and communication technologies [[9](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B9-sustainability-18-08519)], and optimize rural resource allocation through digital infrastructure development [[10](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B10-sustainability-18-08519)]. Building on these theoretical foundations, a growing body of literature has examined the role of digital rural development in promoting common prosperity from both macro-and micro-level perspectives. Accumulating evidence suggests that the digital economy promotes common prosperity through optimized resource allocation, industrial upgrading, enhanced public service provision, and significant cross-county spatial spillover effects [[11](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B11-sustainability-18-08519)]. At the macro level, digital rural development has been found to strengthen the rural collective economy [[12](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B12-sustainability-18-08519)], promote high-quality agricultural development and rural modernization [[13](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B13-sustainability-18-08519)], facilitate the implementation of rural revitalization strategies [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B14-sustainability-18-08519)], enhance urban–rural integration [[15](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B15-sustainability-18-08519)], narrow the urban–rural income gap [[16](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B16-sustainability-18-08519)], reduce rural income inequality by fostering rural e-commerce, expand farmers’ income-generating opportunities [[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B17-sustainability-18-08519)], and optimize regional economic structures, thereby creating favorable conditions for achieving common prosperity. At the micro level, digital technologies and digital services—including big data, artificial intelligence, and information and communication technologies—can expand farmers’ income-generating opportunities [[18](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B18-sustainability-18-08519)], stimulate rural consumption [[19](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B19-sustainability-18-08519)], improve digital literacy and financial market participation [[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B20-sustainability-18-08519)], and enhance endogenous regional development. Furthermore, policy evaluations indicate that initiatives such as the National Digital Rural Pilot Program [[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B21-sustainability-18-08519)], the Smart City Pilot Program [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B22-sustainability-18-08519)], and the Comprehensive Demonstration Program for Rural E-commerce [[23](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B23-sustainability-18-08519)] have significantly promoted regional common prosperity. Collectively, these studies provide a solid theoretical and empirical basis for investigating the relationship between digital rural development and county-level common prosperity.\n\nDespite these important advances, several research gaps remain. First, most previous studies have focused on the macroeconomic effects of digital technologies or examined only a single dimension of rural revitalization, while relatively little attention has been paid to the mechanisms through which digital rural development promotes county-level common prosperity within an integrated analytical framework. Second, most empirical studies rely on provincial- or prefecture-level data, making it difficult to identify intra-provincial heterogeneity and the underlying mechanisms operating at the county level. As the basic governance unit for implementing digital rural development and common prosperity strategies, counties also represent the key spatial scale for integrating urban and rural development. Compared with provincial-level studies, county-level analysis is better suited to capturing regional heterogeneity and identifying localized transmission mechanisms that are often obscured in more aggregated analyses. Moreover, this county-level analytical perspective offers new empirical evidence on the localized effects and underlying transmission mechanisms of digital rural development, thereby complementing the findings of existing provincial-level studies and offering more targeted and practical policy implications for Hubei Province and other regions with similar development characteristics.\n\nAgainst this background, this study employs county-level panel data from Hubei Province to examine the effects of digital rural development on county-level common prosperity and to explore the underlying mechanisms, with particular attention to the moderating role of industrial agglomeration. Accordingly, this study makes two principal contributions to the existing literature. First, it develops an integrated analytical framework linking digital rural development with county-level common prosperity from a county-level perspective, thereby enriching the theoretical understanding of how digital rural development contributes to common prosperity. Second, by exploiting the substantial heterogeneity across counties in Hubei Province, this study identifies the heterogeneous effects and transmission mechanisms of digital rural development and offers targeted and practical policy implications for Hubei Province and other regions with similar development characteristics seeking to promote county-level common prosperity through digital rural development.\n\n## 2. Theoretical Analysis and Research Hypotheses\n\n### 2.1. The Impact of Digital Rural Development on County-Level Common Prosperity\n\nCounty-level common prosperity is characterized by the coordinated advancement of high-quality economic development and sustained improvements in residents’ well-being [[24](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B24-sustainability-18-08519)]. As an integrated development strategy, digital rural development encompasses digital infrastructure, digital industries development, digital public services, and digital inclusion mechanisms within a unified development framework [[25](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B25-sustainability-18-08519),[26](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B26-sustainability-18-08519)]. By improving factor allocation efficiency, facilitating industrial transformation, enhancing the accessibility of public services, and strengthening inclusive institutional arrangements, digital rural development creates favorable conditions for simultaneously promoting economic efficiency and developmental equity. Collectively, these mutually reinforcing mechanisms establish a solid foundation for achieving county-level common prosperity. First, digital infrastructure serves as the foundational pillar of digital rural development. Continuous improvements in broadband networks, communication facilities, and digital platforms help bridge the urban–rural digital divide by reducing information asymmetry and transaction costs while facilitating the efficient flow of capital, technology, labor, and data across regions. As rural areas gain greater access to external markets and high-quality production factors, the efficiency of resource allocation substantially improves, thereby strengthening the material foundation for county-level common prosperity [[27](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B27-sustainability-18-08519)]. Second, digital rural development promotes industrial transformation and upgrading by accelerating the integration of digital technologies into traditional agriculture and rural industries. Emerging business models, including rural e-commerce, smart agriculture, and digital rural tourism, diversify employment opportunities, expand household income sources, and enhance industrial resilience. These developments not only optimize county-level industrial structures but also stimulate endogenous economic growth, thereby providing sustained momentum for county-level common prosperity [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B28-sustainability-18-08519)]. Third, digital public services improve both the accessibility and quality of essential public services through digital technologies such as online education, telemedicine, and digital cultural platforms. Moreover, digital technologies empower farmers by enhancing agricultural productivity, strengthening digital participation, and expanding income-generating opportunities. These improvements not only enhance farmers’ productive capacity and digital inclusion but also narrow disparities in public service provision between urban and rural areas, facilitate human capital accumulation, and improve residents’ quality of life [[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B29-sustainability-18-08519)]. Consequently, digital rural development promotes more equitable sharing of development outcomes, enhances social welfare and inclusive development, and ultimately advances county-level common prosperity [[30](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B30-sustainability-18-08519)]. Finally, digital inclusion mechanisms reinforce the equitable distribution of development benefits through policy support and institutional innovation. Instruments such as digital financial inclusion, digital governance, and targeted digital assistance improve financial accessibility, optimize the allocation of development resources, and expand development opportunities for disadvantaged groups and less-developed counties. These inclusive institutional arrangements not only reduce regional disparities and strengthen social equity but also ensure that the economic gains generated by digital rural development are shared more broadly, thereby providing long-term institutional support for county-level common prosperity.\n\nTaken together, these complementary mechanisms suggest that digital rural development promotes county-level common prosperity through multiple and mutually reinforcing pathways involving more efficient resource allocation, industrial upgrading, human capital accumulation, and inclusive institutional development. The interaction of these pathways not only enhances the quality and sustainability of county-level economic growth but also facilitates a more equitable distribution of development opportunities and welfare gains across counties. Accordingly, the following hypothesis is advanced:\n\n**H1.**\n\nDigital rural development exerts a significantly positive effect on county-level common prosperity.\n\n### 2.2. The Mediating Effect of Financing Constraint Alleviation\n\nFinancing constraints constitute a major obstacle to county-level economic development and the realization of common prosperity, particularly in rural areas characterized by underdeveloped financial markets and severe information asymmetry. As a systematic development strategy, digital rural development alleviates financing constraints by improving digital infrastructure, optimizing digital financial services, and expanding digital application scenarios. These complementary mechanisms enhance financial accessibility, reduce financing frictions, and improve the efficiency of financial resource allocation, thereby creating favorable conditions for county-level common prosperity. First, from the perspective of digital infrastructure, digital rural development promotes the deployment and upgrading of broadband networks, mobile communication systems, and the Internet of Things (IoT). These improvements strengthen rural connectivity and data transmission capacity, lowering the physical and informational costs of financial service provision in geographically dispersed areas. Consequently, financial institutions can expand service coverage more efficiently, while rural households, agricultural enterprises, and other county-level economic entities gain easier access to credit and financial resources, effectively alleviating financing constraints [[31](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B31-sustainability-18-08519),[32](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B32-sustainability-18-08519)]. Second, from the perspective of digital financial services, digital technologies reshape the rural financial ecosystem by integrating multidimensional information on agricultural production, business operations, and household consumption. The application of big data, cloud computing, and intelligent risk assessment enhances the accuracy of credit evaluation, enabling financial institutions to provide more targeted financial products while reducing transaction costs and information asymmetry. As financing constraints are gradually relaxed, county-level economic actors are better able to undertake productive investment, entrepreneurial activities, and income-generating opportunities, thereby fostering more inclusive economic development [[33](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B33-sustainability-18-08519)]. Third, from the perspective of digital applications, digital rural development enhances financial literacy and expands the use of digital financial services. Digital skills training and the widespread adoption of digital financial tools improve the financing capability of rural households and small and medium-sized enterprises. Meanwhile, emerging industries such as rural e-commerce, smart agriculture, and digital rural tourism generate diversified financing demand, encouraging financial innovations including supply chain finance, order financing, and agricultural product pledge loans. These scenario-driven financial services strengthen the integration of digital technologies, rural industries, and financial resources, improve capital allocation efficiency, and further alleviate financing constraints, providing sustained momentum for county-level common prosperity [[34](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B34-sustainability-18-08519),[35](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B35-sustainability-18-08519)].\n\nTaken together, digital rural development alleviates financing constraints through the synergistic effects of digital infrastructure, digital financial services, and digital application scenarios. By improving financial accessibility, reducing financing frictions, mitigating information asymmetry, and enhancing the efficiency of financial resource allocation, these mechanisms stimulate productive investment, entrepreneurship, and income growth, thereby providing an important transmission pathway through which digital rural development promotes county-level common prosperity. Accordingly, the following hypothesis is proposed:\n\n**H2.**\n\nDigital rural development effectively alleviates financing constraints, thereby promoting improvements in county-level common prosperity.\n\n### 2.3. The Moderating Effect of Industrial Agglomeration\n\nExisting studies have documented that industrial upgrading, economic agglomeration, and spatial spillover effects significantly influence rural revitalization and common prosperity, suggesting that industrial agglomeration (IA) constitutes an important external condition influencing the effectiveness of digital rural development [[36](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B36-sustainability-18-08519),[37](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8519#B37-sustainability-18-08519)]. By improving resource allocation efficiency, production capacity, and development resilience, industrial development and technological progress lay an essential foundation for achieving common prosperity. In this context, IA serves as an important boundary condition that shapes t","MDPI Sustainability 18(16):8519 2026-08-20","2026-08-20T00:00:00Z",{"impact":19,"substance":308,"depth":19,"authority":46,"freshness":62,"relevant":22,"comment":352},"基于湖北省县域数据的实证研究，探讨数字乡村对共同富裕的影响，方法严谨，数据详实，对政策制定有参考价值。",[354],{"name":349,"url":346},[27,356,28,357,358],"湖北","县域","空间外溢",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":362},{"candidates":363,"agricultural_evidence":47},[364,368,372,377],{"code":33,"score":46,"supported":47,"title":365,"abstract":366,"tags":367},[27],[27],[27],{"code":102,"score":89,"supported":47,"title":369,"abstract":370,"tags":371},[106],[],[],{"code":236,"score":103,"supported":47,"title":373,"abstract":374,"tags":376},[],[375],"空间计量",[],{"code":52,"score":22,"supported":14,"title":378,"abstract":379,"tags":380},[],[],[28],[382,383],"共同富裕 数字乡村 空间外溢 县域","共同富裕 数字乡村","共同富裕数字乡村空间外溢县域-792","2026-08-21T00:05:57.607295Z"]