[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3654":3,"related-3654":75},{"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,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":59,"slug":62,"view_count":63,"doi":8,"paper":64,"created_at":74},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。",null,"商业经济研究 2026年第9期 (巴责达)","2026-09-15T00:00:00Z","论文",10,false,74,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,21,13,4,1,"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。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","空间溢出","共同富裕","农旅融合","省域面板数据",{"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":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,49,54],{"code":31,"score":44,"supported":45,"title":46,"abstract":47,"tags":48},12,true,[25],[25],[25],{"code":50,"score":20,"supported":13,"title":51,"abstract":52,"tags":53},"G4",[],[],[27],{"code":55,"score":20,"supported":13,"title":56,"abstract":57,"tags":58},"I4",[],[],[26],[60,61],"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":65,"venue":8,"cited_by_count":66,"oa_url":8,"card":67,"direction":71,"ingested_from":73},[],0,{"tldr":68,"method":69,"finding":70,"direction":71,"opportunity":72},"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。","数字乡村与农业信息化","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",{"total":76,"page":20,"page_size":76,"items":77},6,[78,149,215,259,311,348],{"id":79,"title":80,"url":81,"summary":82,"summary_zh":83,"content":8,"source_name":84,"source_url":81,"published_at":85,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":86,"score_detail":87,"sources":91,"tags":93,"primary_topic":97,"secondary_topics":98,"classification":99,"search_phrases":126,"slug":129,"view_count":66,"doi":130,"paper":131,"created_at":148},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":16,"substance":88,"depth":16,"authority":18,"freshness":89,"relevant":20,"comment":90},22,9,"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。",[92],{"name":84,"url":81},[25,94,27,95,96],"数字素养","农民收入","收入不平等",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":100},{"candidates":101,"agricultural_evidence":45},[102,108,115,122],{"code":31,"score":103,"supported":45,"title":104,"abstract":105,"tags":107},8,[],[25,106],"digital village",[25,94],{"code":109,"score":76,"supported":45,"title":110,"abstract":111,"tags":114},"G6",[],[112,113],"农户收入","rural income",[],{"code":116,"score":117,"supported":45,"title":118,"abstract":119,"tags":121},"G",3,[],[120],"rural development",[],{"code":50,"score":20,"supported":13,"title":123,"abstract":124,"tags":125},[],[],[27],[127,128],"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":130,"openalex_id":132,"authors":133,"venue":84,"cited_by_count":66,"oa_url":81,"card":142,"direction":71,"ingested_from":147},"W7223105459",[134,137,140],{"name":135,"orcid":136},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":138,"orcid":139},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":141,"orcid":8},"Fangping Cao",{"tldr":143,"method":144,"finding":145,"direction":71,"opportunity":146},"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。","openalex","2026-10-22T11:20:47.675827Z",{"id":150,"title":151,"url":152,"summary":153,"summary_zh":154,"content":8,"source_name":155,"source_url":152,"published_at":156,"category":11,"cover_url":8,"hotness":12,"is_selected":45,"score":157,"score_detail":158,"sources":164,"tags":166,"primary_topic":170,"secondary_topics":171,"classification":172,"search_phrases":194,"slug":197,"view_count":117,"doi":198,"paper":199,"created_at":214},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",89,{"impact":159,"substance":160,"depth":161,"authority":162,"freshness":89,"relevant":20,"comment":163},24,23,19,14,"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。",[165],{"name":155,"url":152},[25,26,167,168,169],"县域经济","数字乡村试点","非农就业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":173},{"candidates":174,"agricultural_evidence":45},[175,180,186,190],{"code":31,"score":176,"supported":45,"title":177,"abstract":178,"tags":179},16,[106],[25,106],[25,168],{"code":55,"score":63,"supported":45,"title":181,"abstract":182,"tags":185},[],[183,184],"空间分析","spatial analysis",[26],{"code":50,"score":20,"supported":13,"title":187,"abstract":188,"tags":189},[],[],[167],{"code":109,"score":20,"supported":13,"title":191,"abstract":192,"tags":193},[],[],[169],[195,196],"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":198,"openalex_id":200,"authors":201,"venue":155,"cited_by_count":66,"oa_url":152,"card":209,"direction":71,"ingested_from":147},"W7214093544",[202,205,207],{"name":203,"orcid":204},"Wei Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0540-5934",{"name":206,"orcid":8},"Lijun Wang",{"name":208,"orcid":8},"Yizhuo Ma",{"tldr":210,"method":211,"finding":212,"direction":71,"opportunity":213},"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。","2026-09-24T23:30:07.434384Z",{"id":216,"title":217,"url":218,"summary":219,"summary_zh":8,"content":220,"source_name":221,"source_url":8,"published_at":222,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":223,"sources":226,"tags":228,"primary_topic":232,"secondary_topics":233,"classification":234,"search_phrases":254,"slug":257,"view_count":19,"doi":8,"paper":8,"created_at":258},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":16,"substance":224,"depth":16,"authority":44,"freshness":76,"relevant":20,"comment":225},20,"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。",[227],{"name":221,"url":218},[25,229,27,230,231],"湖北","县域","空间外溢",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":235},{"candidates":236,"agricultural_evidence":45},[237,241,245,250],{"code":31,"score":44,"supported":45,"title":238,"abstract":239,"tags":240},[25],[25],[25],{"code":116,"score":103,"supported":45,"title":242,"abstract":243,"tags":244},[120],[],[],{"code":55,"score":117,"supported":45,"title":246,"abstract":247,"tags":249},[],[248],"空间计量",[],{"code":50,"score":20,"supported":13,"title":251,"abstract":252,"tags":253},[],[],[27],[255,256],"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",{"id":260,"title":261,"url":262,"summary":263,"summary_zh":8,"content":264,"source_name":265,"source_url":8,"published_at":266,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":66,"score_detail":267,"sources":269,"tags":271,"primary_topic":276,"secondary_topics":277,"classification":278,"search_phrases":306,"slug":309,"view_count":63,"doi":8,"paper":8,"created_at":310},247,"Driving digital village development for rural modernization: The evidence of China","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0743016726002428","2026年8月《Journal of Rural Studies》上线的研究基于中国数字乡村发展实践,实证检验数字乡村建设对乡村现代化的驱动效应。研究运用2015-2023年省级面板数据,采用双重差分模型、空间计量模型与中介效应模型考察数字乡村建设对农业生产率、农民收入、乡村治理、城乡融合等多维目标的影响。研究发现,数字乡村建设显著提升农业生产率与农民收入水平,通过促进农村电商发展、推动数字普惠金融与完善乡村治理体系三个机制实现乡村现代化;东部地区效应大于中西部,粮食主产区效应显著;数字乡村建设具有显著空间溢出效应,周边地区发展滞后将削弱本地红利释放。文章为发展中国家通过数字乡村建设推动乡村现代化提供了中国经验与政策启示。","[![Image 1: Elsevier logo](blob:http:\u002F\u002Flocalhost\u002F84fae110a9934890163c7653d951a57a)](https:\u002F\u002Fwww.sciencedirect.com\u002F)\n\n*   Help   \n\n# Are you a robot?\n\nPlease confirm you are a human by completing the captcha challenge below.\n\nVerification successful. 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0===o(e,t)}},q=!!b.postMessage,X={postMessage:function(e,t,a){var n=1;t&&(q?a.postMessage(e,t.replace(\u002F([^:]+:\\\u002F\\\u002F[^\\\u002F]+).*\u002F,\"$1\")):t&&(a.location=t.replace(\u002F#.*$\u002F,\"\")+\"#\"+ +new Date+n+++\"&\"+e))},receiveMessage:function(e,t){var a;try{q&&(e&&(a=function(a){if(\"string\"==typeof t&&a.origin!==t||\"[object Function]\"===Object.prototype.toString.call(t)&&!1===","Journal of Rural Studies 2026-08-04","2026-08-04T00:00:00Z",{"impact":66,"substance":66,"depth":66,"authority":66,"freshness":66,"relevant":20,"comment":268},"正文为验证码页面，无实际内容，无法评估。",[270],{"name":265,"url":262},[25,26,272,273,274,275],"双重差分","乡村现代化","中国证据","Journal of Rural 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中国证据","乡村现代化中国证据双重差分数字乡村-247","2026-08-05T23:53:02.437856Z",{"id":312,"title":313,"url":314,"summary":315,"summary_zh":8,"content":316,"source_name":317,"source_url":8,"published_at":318,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":319,"score_detail":320,"sources":324,"tags":326,"primary_topic":330,"secondary_topics":331,"classification":332,"search_phrases":343,"slug":346,"view_count":12,"doi":8,"paper":8,"created_at":347},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。","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 Edge](https:\u002F\u002Fwww.microsoft.com\u002Fzh-cn\u002Fedge)、 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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1 746个县域的面板数据分析\")[马林靖](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E9%A9%AC%E6%9E%97%E9%9D%96%22 \"马林靖\") 等; [安徽农业科学](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fahnykx \"安徽农业科学\");2026\n\n2.[数字技术驱动甘肃乡村产业与县域经济协同发展的机制与路径研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fshidjm202606025 \"数字技术驱动甘肃乡村产业与县域经济协同发展的机制与路径研究\")[李沂铭;](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E6%9D%8E%E6%B2%82%E9%93%AD%22 \"李沂铭\")[时代经贸](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fshidjm \"时代经贸\");2026\n\n3.[四川县域经济高质量发展助推共同富裕的策略研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fjjyjdk202609009 \"四川县域经济高质量发展助推共同富裕的策略研究\")[余声启;](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E4%BD%99%E5%A3%B0%E5%90%AF%22 \"余声启\")[经济研究导刊](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fjjyjdk 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2026-07-17上网","2026-07-17T00:00:00Z",81,{"impact":321,"substance":88,"depth":16,"authority":162,"freshness":322,"relevant":20,"comment":323},25,2,"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。",[325],{"name":317,"url":314},[25,27,327,328,329],"县域面板","中介效应","农业政策",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":333},{"candidates":334,"agricultural_evidence":45},[335,339],{"code":31,"score":44,"supported":45,"title":336,"abstract":337,"tags":338},[25],[25],[25],{"code":50,"score":20,"supported":13,"title":340,"abstract":341,"tags":342},[],[],[27],[344,345],"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",{"id":349,"title":350,"url":351,"summary":352,"summary_zh":8,"content":353,"source_name":354,"source_url":8,"published_at":355,"category":356,"cover_url":8,"hotness":12,"is_selected":13,"score":357,"score_detail":358,"sources":360,"tags":362,"primary_topic":367,"secondary_topics":368,"classification":369,"search_phrases":386,"slug":389,"view_count":66,"doi":8,"paper":8,"created_at":390},5505,"广西以赛聚智赋能「AI+农业」 桂字号品牌与东盟水果IP赛道决出","https:\u002F\u002Fwww.agri.cn\u002Fzt\u002Fzhzz\u002Ftp\u002F202610\u002Ft20261019_8877223.htm","10月16日2026年广西智慧农业（数字乡村）创新大赛「桂字号」农业品牌推广赛道、中国（广西）—东盟水果贸易第一IP打造赛道决赛举行，55个项目同台竞技。自治区农业农村厅提出广西正按「北上广研发+广西集成+东盟应用」路径打造中国（广西）—东盟智慧农业先行区，去年一批项目已入选广西人工智能赋能千行百业拟补贴名单。","自治区农业农村厅党组成员、副厅长欧毅霞表示，本次大赛是落实中央一号文件关于因地制宜发展农业新质生产力、大力发展智慧农业部署的具体行动，也是推动人工智能与农业深度融合的重要举措。今年大赛聚焦“桂字号”农业品牌推广和中国（广西）—东盟水果贸易第一IP打造这两个赛道，主要基于三点考虑：一是广西农业资源丰富，“桂字号”品牌基础扎实，但数字化运营和品牌传播仍是短板，需要以赛聚智、以赛促创，借助数字化手段让好产品卖出好价钱；二是广西面向东盟的区位优势得天独厚，水果贸易体量大、潜力足，亟需打造具有国际影响力的第一IP，以数字技术赋能贸易全链条，提升通关、溯源、营销等环节效率；三是这两个赛道切口小、场景实、应用性强，能够有效打通“技术—产业—市场”闭环，推动创新链与产业链精准对接，让更多“金种子”项目在八桂大地上落地生根、开花结果。\n\n欧毅霞提出三点希望：专业组勇当产业升级“领跑者”，形成可复制、可推广的解决方案；学生组争做乡村振兴“生力军”，把创新火花带回课堂、实验室和田间地头；各方共筑智慧农业“生态圈”，推动技术、资本、人才、政策等要素集聚。\n\n广西农业职业技术大学党委书记韦波在致辞中表示，作为承办方，学校将联合广西数字乡村研究院，在赛道组委会统一领导下做好组织、服务与保障，推动赛事成果与教育教学、产业需求有效对接，发挥面向东盟农业职业教育合作优势，为“桂字号”出海、中国—东盟水果贸易双向流通搭建桥梁。\n\n据介绍，广西正按照“北上广研发+广西集成+东盟应用”路径，打造中国（广西）—东盟智慧农业先行区。智慧农业创新大赛不仅是竞技舞台，更是创新成果转化、产业赋能的重要平台。去年，广西首次举办智慧农业创新大赛并取得丰硕成果，一批新技术、新理念、新模式脱颖而出，逐步被大家看见、被市场认可；如捷佳润科技跨境农业智能决策系统、北部湾产权交易所集团AI赋能广西桑蚕茧丝绸全产业链项目入选广西人工智能赋能千行百业拟补贴项目名单；荣获“最佳潜力奖”的“桂鸟先飞—滴滴打药平台”获得地方政府投资扩容实现了升级蝶变。\n\n以赛为媒，向新而行。随着多个项目在决赛中展开比拼，一批聚焦品牌数字化运营、跨境贸易、品控溯源和IP打造的创新项目将在八桂大地加速落地。未来，广西将持续以大赛为纽带，推动技术、资本、人才、政策等要素向智慧农业集聚，促进创新链、产业链、资金链、人才链深度融合，让更多“金种子”项目生根发芽、茁壮成长，为“桂字号”香飘东盟、中国—东盟水果贸易双向流通注入新动能，助力中国（广西）—东盟智慧农业先行区建设迈上新台阶。","中国农业农村信息网 2026-10-19","2026-10-19T00:00:00Z","报道",66,{"impact":16,"substance":176,"depth":162,"authority":44,"freshness":76,"relevant":20,"comment":359},"省级智慧农业赛事报道，聚焦AI赋能品牌与东盟水果贸易，有具体路径与落地案例，但属活动通稿，时效稍滞后。",[361],{"name":354,"url":351},[25,363,364,365,366],"智慧农业","农业人工智能","桂字号","东盟水果贸易",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":370},{"candidates":371,"agricultural_evidence":45},[372,377,381],{"code":373,"score":19,"supported":45,"title":374,"abstract":375,"tags":376},"I1",[],[363],[363],{"code":31,"score":19,"supported":45,"title":378,"abstract":379,"tags":380},[],[25],[25],{"code":382,"score":20,"supported":13,"title":383,"abstract":384,"tags":385},"I2",[],[],[364],[387,388],"广西 智慧农业创新大赛","桂字号 东盟水果 IP","广西智慧农业创新大赛-5505","2026-10-22T00:06:58.572242Z"]