[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4033":3,"related-4033":94},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":71,"slug":74,"view_count":75,"doi":76,"paper":77,"created_at":93},4033,"The Upgrading and Transformation of Farmer Professional Cooperative in the Digital Age: Insights from China Digital Village Policy","https:\u002F\u002Fdoi.org\u002F10.3390\u002Feconomies14100435","Farmer professional cooperatives are important vehicles for agricultural modernisation. In the digital age, the development of cooperatives has followed two typical pathways: upgrading in scale and transformation in business operations. Existing research has focused on the impact of digitalisation on the former, while paying less attention to the issue of structural transformation within cooperatives. To investigate this issue, this study constructs a difference-in-differences model based on a sample of data from Chinese farmer professional cooperatives. By leveraging the quasi-natural experiment of the digital village policy to construct variables, this study examines the impact of rural digitalisation on cooperative upgrading and transformation and analyses the mechanisms driving the divergence of cooperative development pathways. The study indicates that: (1) The China Digital Village Policy has had a significant positive impact on both the transformation and upgrading of farmer professional cooperatives. (2) Conditional on observable variables, the China Digital Village Policy is positively associated with cooperative upgrading and transformation, with patterns consistent with potential pathways through information channel capability and technological innovation capability. (3) Under the same observable-variable constraints, market expansion capability and capital acquisition capability show conditional association patterns that are significantly positively associated with cooperative upgrading. For cooperative transformation, however, they show conditional suppression patterns. This indicates that agricultural digitalisation is closely linked to cooperative upgrading and transformation. The differentiated empirical patterns of digitalisation along the dimensions of information channels, technological innovation, market expansion and capital acquisition provide empirical evidence for understanding the pathways of cooperative differentiation.","农民专业合作社是农业现代化的重要载体。在数字时代，合作社发展遵循了两条典型路径：规模升级与经营转型。已有研究主要关注数字化对前者的影响，而对合作社结构转型问题关注不足。为探究这一问题，本研究基于中国农民专业合作社数据样本构建了双重差分模型。通过利用数字乡村政策的准自然实验构建变量，本研究考察了乡村数字化对合作社升级与转型的影响，并分析了驱动合作社发展路径分化的机制。研究表明：(1) 中国数字乡村政策对农民专业合作社的转型与升级均产生了显著正向影响。(2) 在可观测变量条件下，中国数字乡村政策与合作社升级和转型呈正相关，其模式与通过信息渠道能力和技术创新能力的潜在路径相一致。(3) 在相同的可观测变量约束下，市场拓展能力和资本获取能力与合作社升级呈现显著正相关的条件关联模式；然而对于合作社转型，它们则呈现条件抑制模式。这表明农业数字化与合作社升级和转型密切相关。数字化在信息渠道、技术创新、市场拓展和资本获取等维度上的差异化实证模式，为理解合作社分化路径提供了经验证据。",null,"Economies","2026-10-01T00:00:00Z","论文",10,false,84,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,18,13,9,1,"基于中国数字乡村政策准自然实验的双重差分研究，方法规范、结论有新意，对数字乡村与合作社发展路径具参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字乡村","农业数字化","农业现代化","农民合作社","合作社转型",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51,57,62,66],{"code":32,"score":45,"supported":46,"title":47,"abstract":49,"tags":50},15,true,[48],"digital village",[26,48],[26],{"code":52,"score":53,"supported":46,"title":54,"abstract":55,"tags":56},"J2",4,[],[28],[28],{"code":58,"score":21,"supported":14,"title":59,"abstract":60,"tags":61},"G2",[],[],[29],{"code":36,"score":21,"supported":14,"title":63,"abstract":64,"tags":65},[],[],[27],{"code":67,"score":21,"supported":14,"title":68,"abstract":69,"tags":70},"I1",[],[],[27],[72,73],"中国数字乡村政策 农民专业合作社","数字乡村 合作社 转型升级","中国数字乡村政策农民专业合作社-4033",3,"10.3390\u002Feconomies14100435",{"doi":76,"openalex_id":78,"authors":79,"venue":10,"cited_by_count":85,"oa_url":6,"card":86,"direction":90,"ingested_from":92},"W7215037926",[80,82],{"name":81,"orcid":9},"Yingying Zhang",{"name":83,"orcid":84},"Yaodong Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-7573-2850",0,{"tldr":87,"method":88,"finding":89,"direction":90,"opportunity":91},"基于中国数字乡村政策准自然实验，用双重差分法检验数字化对农民合作社升级与转型的影响。","双重差分模型，中国农民专业合作社样本，数字乡村政策准自然实验。","数字乡村政策显著促进合作社升级与转型，信息渠道与技术创新为潜在路径，市场与资本能力对升级促进、对转型","数字乡村与农业信息化","可深入探究市场扩张与资本获取能力为何抑制合作社业务转型，及其组织与制度边界条件。","openalex","2026-10-02T23:30:30.775133Z",{"total":95,"page":21,"page_size":95,"items":96},6,[97,181,241,304,347,404],{"id":98,"title":99,"url":100,"summary":101,"summary_zh":102,"content":9,"source_name":103,"source_url":100,"published_at":104,"category":12,"cover_url":9,"hotness":105,"is_selected":14,"score":106,"score_detail":107,"sources":109,"tags":114,"primary_topic":118,"secondary_topics":119,"classification":126,"search_phrases":152,"slug":155,"view_count":156,"doi":157,"paper":158,"created_at":180},3562,"Toward Common Prosperity: Spatially Heterogeneous Effects and Mechanisms of Digital Village Construction on the Urban–Rural Income Gap in Mountainous China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101801","Mountainous regions are critical to promoting inclusive growth and reducing spatial inequality worldwide. Digital village construction offers a new pathway to overcome geographical constraints and reshape urban–rural income distribution in these areas. Using county-level data for 2020 and focusing on mountainous China, this study integrates the Theil index, IV-2SLS, MGWR, and mediation models to characterize the spatial pattern of the urban–rural income gap (URIG) and identify the spatially heterogeneous effects and potential mechanisms of digital village construction across different geomorphological settings. The results indicate that: (1) Large and highly dispersed URIG are concentrated in mountainous regions. On average, the gap is approximately twice as large as that in non-mountainous regions and varies markedly across geomorphological types. URIG is highest in mountain counties, shows the greatest variation in plateau counties, and tends to be lower in hill counties. (2) Digital village construction exerts a significant negative effect on URIG in mountainous China, with the effect being stronger than in non-mountainous regions and generally increasing in magnitude from east to west. (3) The effects of different DVI dimensions on URIG exhibit substantial spatial heterogeneity and vary in their spatial scales of influence. Rural economy digitalization shows widespread and consistently negative effects and emerges as the dominant dimension across most mountainous regions, while the effect of other dimensions is more localized, particularly rural life digitalization, which shows stronger negative effects in mountain counties, plateau counties, and underdeveloped mountainous counties. (4) Agricultural operation modernization and labor allocation optimization constitute potential channels underlying the association between digital village construction and a narrower URIG, with the estimated indirect effect being more pronounced through labor allocation optimization. These findings provide empirical evidence for advancing inclusive development in mountainous regions amid China’s common prosperity agenda, with broader implications for place-based digital village construction.","山区对于促进包容性增长和缩小全球空间不平等至关重要。数字乡村建设为这些地区突破地理约束、重塑城乡收入分配格局提供了新路径。本研究以2020年县级数据为基础，聚焦中国山区，综合运用泰尔指数、IV-2SLS、MGWR和中介模型，刻画城乡收入差距（URIG）的空间格局，并识别数字乡村建设在不同地貌条件下的空间异质性效应及其潜在机制。结果表明：（1）规模较大且高度分散的URIG集中于山区。其平均值约为非山区的两倍，且在不同地貌类型间差异显著。URIG在山区县最高，在高原县变异最大，在丘陵县则趋于较低水平。（2）数字乡村建设对中国山区URIG具有显著负向影响，其效应强于非山区，且总体上呈自东向西递增态势。（3）数字乡村建设不同维度对URIG的影响表现出显著的空间异质性，且其影响的空间尺度各异。农村经济数字化呈现出广泛且稳定的负向效应，并在大多数山区成为主导维度，而其他维度的效应则更具局部性，尤其是农村生活数字化，在山区县、高原县及欠发达山区县表现出更强的负向效应。（4）农业经营现代化和劳动力配置优化构成数字乡村建设与URIG缩小之间关联的潜在渠道，其中通过劳动力配置优化的间接效应更为明显。上述发现为中国共同富裕议程下推进山区包容性发展提供了经验证据，并对因地制宜推进数字乡村建设具有更广泛的启示。","Land","2026-09-25T00:00:00Z",25,80,{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":108},"基于县域数据的实证研究，方法扎实、结论对山区数字乡村政策有参考价值，但属学术论文，公共传播热度有限。",[110,111],{"name":103,"url":100},{"name":112,"url":113},"MDPI Land 15(10), 1801 2026-09-25","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F10\u002F1801",[26,115,27,116,117],"县域经济","山区农业","城乡收入差距",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[120],{"code":121,"slug":122,"name":123,"path":124,"parent_code":125},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",{"status":39,"locked":14,"version":40,"method":41,"evidence":127},{"candidates":128,"agricultural_evidence":46},[129,133,139,144,148],{"code":32,"score":45,"supported":46,"title":130,"abstract":131,"tags":132},[48],[26,48],[26],{"code":121,"score":134,"supported":46,"title":135,"abstract":137,"tags":138},12,[136],"rural income",[136],[117],{"code":140,"score":21,"supported":14,"title":141,"abstract":142,"tags":143},"G4",[],[],[115],{"code":36,"score":21,"supported":14,"title":145,"abstract":146,"tags":147},[],[],[27],{"code":67,"score":21,"supported":14,"title":149,"abstract":150,"tags":151},[],[],[27],[153,154],"数字乡村 城乡收入差距 山区","县域 数字乡村 泰尔指数","数字乡村城乡收入差距山区-3562",7,"10.3390\u002Fland15101801",{"doi":157,"openalex_id":159,"authors":160,"venue":103,"cited_by_count":85,"oa_url":100,"card":175,"direction":90,"ingested_from":92},"W7214349448",[161,164,167,170,172],{"name":162,"orcid":163},"Xueting Yang","https:\u002F\u002Forcid.org\u002F0000-0003-4633-2185",{"name":165,"orcid":166},"Xiaoping Qiu","https:\u002F\u002Forcid.org\u002F0000-0001-6310-5959",{"name":168,"orcid":169},"Fubiao Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-4606-3336",{"name":171,"orcid":9},"Mingkai Xu",{"name":173,"orcid":174},"Yun Xu","https:\u002F\u002Forcid.org\u002F0000-0002-2442-7792",{"tldr":176,"method":177,"finding":178,"direction":90,"opportunity":179},"研究数字乡村建设对中国山区城乡收入差距的空间异质性影响及机制。","用2020年县级数据，结合泰尔指数、IV-2SLS、MGWR与中介模型。","数字乡村建设显著缩小山区城乡收入差距，效应自东向西增强，且存在地貌与维度异质性。","可深入探究不同地貌下数字乡村各维度的空间尺度差异及劳动力配置中介的微观路径。","2026-09-26T23:30:38.665617Z",{"id":182,"title":183,"url":184,"summary":185,"summary_zh":9,"content":9,"source_name":186,"source_url":9,"published_at":187,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":188,"sources":193,"tags":195,"primary_topic":199,"secondary_topics":200,"classification":201,"search_phrases":227,"slug":230,"view_count":205,"doi":9,"paper":231,"created_at":240},2110,"《绿色算力建设驱动农业数字化绿色化协同发展的机制研究》 249地级市3 237观测值渐进DID","https:\u002F\u002Fnyxdhyj.isa.ac.cn\u002F","在\"双碳\"目标与数字中国战略双重驱动下,以国家绿色数据中心试点为准自然实验,基于2011—2023年全国249个地级市3237个城市-年份观测值,采用渐进双重差分模型考察绿色算力建设对农业数字化绿色化协同发展的影响及机制。研究发现绿色算力建设显著提升农业数字化绿色化耦合协调度(系数0.076,1%显著水平),主要通过促进数据要素流通、扩大清洁能源应用、推动绿色算力与农业技术融合。西部地区政策效应显著强于东北地区。","农业现代化研究","2026-09-07T00:00:00Z",{"impact":17,"substance":189,"depth":190,"authority":191,"freshness":95,"relevant":21,"comment":192},23,19,14,"基于249个地级市3237个观测值的渐进DID实证，量化绿色算力对农业数字化绿色化协同的促进效应，方法规范、数据规模大，对数字乡村与农业绿色发展政策有参考价值。",[194],{"name":186,"url":184},[26,196,197,27,198],"数据要素","农业绿色发展","绿色算力",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":202},{"candidates":203,"agricultural_evidence":46},[204,209,214,219,223],{"code":32,"score":205,"supported":46,"title":206,"abstract":207,"tags":208},5,[],[196],[26,196],{"code":210,"score":21,"supported":14,"title":211,"abstract":212,"tags":213},"H4",[],[],[197],{"code":215,"score":21,"supported":14,"title":216,"abstract":217,"tags":218},"H8",[],[],[197],{"code":36,"score":21,"supported":14,"title":220,"abstract":221,"tags":222},[],[],[27],{"code":67,"score":21,"supported":14,"title":224,"abstract":225,"tags":226},[],[],[27],[228,229],"农业绿色发展 农业数字化 数字乡村 数据要素","农业绿色发展 农业数字化","农业绿色发展农业数字化数字乡村数据要素-2110",{"doi":9,"openalex_id":9,"authors":232,"venue":9,"cited_by_count":85,"oa_url":9,"card":233,"direction":237,"ingested_from":239},[],{"tldr":234,"method":235,"finding":236,"direction":237,"opportunity":238},"以国家绿色数据中心试点为准自然实验，检验绿色算力建设对农业数字化绿色化协同发展的影响。","2011—2023年249个地级市3237个观测值，渐进双重差分模型。","绿色算力建设显著提升农业数字化绿色化耦合协调度，西部效应强于东北。","农业绿色发展与碳","可探究绿色算力对不同农业细分行业与经营主体的异质性影响，及数据要素流通的微观路径。","agent","2026-09-11T00:04:22.926298Z",{"id":242,"title":243,"url":244,"summary":245,"summary_zh":246,"content":9,"source_name":247,"source_url":244,"published_at":248,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":249,"sources":251,"tags":253,"primary_topic":258,"secondary_topics":259,"classification":260,"search_phrases":282,"slug":285,"view_count":85,"doi":286,"paper":287,"created_at":303},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",{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":250},"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。",[252],{"name":247,"url":244},[26,254,255,256,257],"数字素养","共同富裕","农民收入","收入不平等",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":261},{"candidates":262,"agricultural_evidence":46},[263,268,273,278],{"code":32,"score":264,"supported":46,"title":265,"abstract":266,"tags":267},8,[],[26,48],[26,254],{"code":121,"score":95,"supported":46,"title":269,"abstract":270,"tags":272},[],[271,136],"农户收入",[],{"code":125,"score":75,"supported":46,"title":274,"abstract":275,"tags":277},[],[276],"rural development",[],{"code":140,"score":21,"supported":14,"title":279,"abstract":280,"tags":281},[],[],[255],[283,284],"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":286,"openalex_id":288,"authors":289,"venue":247,"cited_by_count":85,"oa_url":244,"card":298,"direction":90,"ingested_from":92},"W7223105459",[290,293,296],{"name":291,"orcid":292},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":294,"orcid":295},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":297,"orcid":9},"Fangping Cao",{"tldr":299,"method":300,"finding":301,"direction":90,"opportunity":302},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","2026-10-22T11:20:47.675827Z",{"id":305,"title":306,"url":307,"summary":308,"summary_zh":9,"content":309,"source_name":310,"source_url":9,"published_at":311,"category":312,"cover_url":9,"hotness":13,"is_selected":14,"score":313,"score_detail":314,"sources":317,"tags":319,"primary_topic":324,"secondary_topics":325,"classification":326,"search_phrases":342,"slug":345,"view_count":85,"doi":9,"paper":9,"created_at":346},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":18,"substance":315,"depth":191,"authority":134,"freshness":95,"relevant":21,"comment":316},16,"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。",[318],{"name":310,"url":307},[26,320,321,322,323],"智慧农业","农业人工智能","桂字号","东盟水果贸易",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":327},{"candidates":328,"agricultural_evidence":46},[329,333,337],{"code":67,"score":53,"supported":46,"title":330,"abstract":331,"tags":332},[],[320],[320],{"code":32,"score":53,"supported":46,"title":334,"abstract":335,"tags":336},[],[26],[26],{"code":338,"score":21,"supported":14,"title":339,"abstract":340,"tags":341},"I2",[],[],[321],[343,344],"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",{"id":348,"title":349,"url":350,"summary":351,"summary_zh":352,"content":9,"source_name":353,"source_url":350,"published_at":354,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":355,"score_detail":356,"sources":358,"tags":360,"primary_topic":365,"secondary_topics":366,"classification":367,"search_phrases":382,"slug":385,"view_count":85,"doi":386,"paper":387,"created_at":403},5493,"Mapping Research on the Implementation of Smart Village Policies in Indonesia: A Bibliometric Study for the Years 2017-2025","https:\u002F\u002Fdoi.org\u002F10.66254\u002Fjgssvol5issue2page333-347","This research aims to analyze the role of public sector policies in the development of Smart Villages in Indonesia, focusing on the utilization of information and communication technology (ICT) to improve the quality of life in rural communities. Although the Indonesian government has launched various programs such as the Digital Village Program and Smart City, the implementation of these policies still faces various challenges, including limited infrastructure, low digital literacy, and lack of inter-agency coordination. This research uses a bibliometric approach to map relevant research and policy trends, as well as to identify challenges and opportunities in the development of Smart Villages. The research findings indicate that despite progress, existing public sector policies have not yet been fully effective in addressing the digital divide between villages and cities. This research recommends the need for more inclusive and integrated policy improvements, as well as strengthening human resource capacities in villages to support the creation of sustainable and competitive Smart Villages.","本研究旨在分析公共部门政策在印度尼西亚智慧村（Smart Villages）发展中的作用，重点关注利用信息通信技术（ICT）提升农村社区生活质量。尽管印度尼西亚政府已推出数字村计划（Digital Village Program）和智慧城市（Smart City）等多项举措，但这些政策的实施仍面临诸多挑战，包括基础设施有限、数字素养偏低以及跨机构协调不足。本研究采用文献计量学方法，梳理相关研究与政策趋势，并识别智慧村发展中的挑战与机遇。研究结果表明，尽管取得了一定进展，现有公共部门政策在弥合城乡数字鸿沟方面尚未充分发挥效用。本研究建议有必要进行更具包容性和整合性的政策改进，同时加强农村人力资源能力建设，以支持创建可持续且具有竞争力的智慧村。","Journal of Government Science Studies\u002FJournal Of Government Science Studies","2026-10-20T00:00:00Z",71,{"impact":315,"substance":18,"depth":45,"authority":19,"freshness":20,"relevant":21,"comment":357},"该文献计量研究系统梳理了印尼智慧乡村政策实施进展与数字鸿沟挑战，对数字乡村国际比较有参考价值，但属区域性研究，影响层级有限。",[359],{"name":353,"url":350},[26,361,362,363,364],"印尼","数字鸿沟","文献计量","智慧乡村",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":368},{"candidates":369,"agricultural_evidence":46},[370,376],{"code":371,"score":45,"supported":46,"title":372,"abstract":374,"tags":375},"I7",[373],"bibliometric",[363,373],[363],{"code":32,"score":377,"supported":46,"title":378,"abstract":379,"tags":381},11,[],[362,48,380],"digital divide",[26,362],[383,384],"印尼 智慧乡村","印尼 数字村 数字鸿沟","印尼智慧乡村-5493","10.66254\u002Fjgssvol5issue2page333-347",{"doi":386,"openalex_id":388,"authors":389,"venue":353,"cited_by_count":85,"oa_url":350,"card":398,"direction":90,"ingested_from":92},"W7223067869",[390,392,395],{"name":391,"orcid":9},"Syaifulrijal Mahulauw",{"name":393,"orcid":394},"Wahab Tuanaya","https:\u002F\u002Forcid.org\u002F0009-0001-9236-8149",{"name":396,"orcid":397},"Marno Wance","https:\u002F\u002Forcid.org\u002F0000-0001-6663-7598",{"tldr":399,"method":400,"finding":401,"direction":90,"opportunity":402},"用文献计量法梳理2017-2025年印尼智慧村政策实施研究，识别挑战与机会。","文献计量分析，覆盖2017-2025年相关文献与政策趋势。","政策尚未有效弥合城乡数字鸿沟，需更包容整合的政策与人力建设。","可延伸至跨国比较或政策效果量化评估，聚焦数字鸿沟与跨部门协同机制。","2026-10-21T23:30:33.962760Z",{"id":405,"title":406,"url":407,"summary":408,"summary_zh":409,"content":9,"source_name":410,"source_url":407,"published_at":354,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":411,"score_detail":412,"sources":414,"tags":416,"primary_topic":420,"secondary_topics":421,"classification":422,"search_phrases":448,"slug":451,"view_count":85,"doi":452,"paper":453,"created_at":466},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",85,{"impact":17,"substance":189,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":413},"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。",[415],{"name":410,"url":407},[417,26,115,418,419],"数字农业","农业政策","农村创业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":423},{"candidates":424,"agricultural_evidence":46},[425,429,435,439,444],{"code":32,"score":45,"supported":46,"title":426,"abstract":427,"tags":428},[48],[26,48],[26],{"code":338,"score":95,"supported":46,"title":430,"abstract":431,"tags":434},[],[432,433],"机器学习","machine learning",[],{"code":125,"score":75,"supported":46,"title":436,"abstract":437,"tags":438},[],[276],[],{"code":140,"score":440,"supported":14,"title":441,"abstract":442,"tags":443},2,[],[],[419,115],{"code":67,"score":21,"supported":14,"title":445,"abstract":446,"tags":447},[],[],[417],[449,450],"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":452,"openalex_id":454,"authors":455,"venue":410,"cited_by_count":85,"oa_url":407,"card":461,"direction":90,"ingested_from":92},"W7223041086",[456,458],{"name":457,"orcid":9},"Su Li",{"name":459,"orcid":460},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":462,"method":463,"finding":464,"direction":90,"opportunity":465},"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"]