[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3457":3,"related-3457":89},{"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":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":67,"slug":70,"view_count":71,"doi":72,"paper":73,"created_at":88},3457,"Social service accessibility and Green Agricultural Development Intensity as pathways to Rural Elderly Welfare: panel evidence from China’s underserved regions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1863204","Background The elderly population in the rural areas of China, defined as 60 years or older, is over 121 million, representing 23.8% of the total rural population. The elderly population is growing rapidly and is characterized by the triple burden of poor access to healthcare, reduced agricultural income, and being digitally excluded. Although numerous national programs to expand social services and promote green agricultural transformation have been developed, the overall impact of these two policy streams on elderly wellbeing remains an untested area. This study aims to examine the independent and combined effects of social service accessibility (SSA) and Green Agricultural Development Intensity (GADI) on Rural Elderly Welfare (REW), while considering livelihood resilience (LR) as the mediating variable and the digital divide index (DDI) as the moderating condition. Both SSA and GADI are operationalized as province-level composite indices of service provision and agricultural development intensity, respectively, rather than as direct measures of individual elderly residents’ service use or farming behavior; this measurement level is made explicit throughout. Methods A panel data set was created, with the data collected at the provincial level and covering 30 provinces in China from 2013 to 2022 ( N = 268). Three province-year cells are missing because Tibet and Hainan entered the relevant statistical series after 2013, and a further 29 cells were dropped through listwise deletion of province-years with incomplete sub-indicators. The data was collected from the China Statistical Yearbooks, CNNIC internet reports, and the China Health and Retirement Longitudinal Study. The estimation results were based on two-way fixed-effects regression with interaction terms, and a bootstrap mediation analysis with 5,000 replications. The results were also checked for robustness through IV-2SLS estimation, winsorization, alternative specification for the dependent variable, excluding municipalities, and dynamic panel (system-GMM) estimation. Results SSA exerted a significant positive effect on REW ( β = 0.27, p \u003C 0.05), as did GADI ( β = 0.18, p \u003C 0.10). The SSA × GADI interaction was significant and positive ( β = 0.14, p \u003C 0.05), implying that the combined effect exceeds the additive effect of individual components. Livelihood resilience partially mediated both the SSA–REW pathway (indirect effect = 0.09, 95% CI [0.03, 0.16]) and the GADI–REW pathway (indirect effect = 0.06, 95% CI [0.01, 0.12]). Contrary to expectations, DDI failed to significantly moderate the relationship between GADI and REW ( β = −0.023, p = 0.412). Conclusion Coordinating social services with green agriculture was associated with wellbeing gains modestly but significantly greater than the sum of the two policy streams implemented in isolation. The synergy premium was estimated at 6% over the additive prediction (approximately 1–11% based on the 95% CI of the interaction coefficient), a pattern consistent with partial transmission through livelihood resilience. Interventions in the underserved rural areas should focus on integrated packages consisting of improved access to healthcare services and subsidies in green agriculture, rather than the two policy streams in isolation.","背景 中国农村60岁及以上老年人口超过1.21亿，占农村总人口的23.8%。老年人口增长迅速，且呈现出三重负担特征：医疗服务可及性差、农业收入减少以及被数字排斥。尽管国家已制定多项扩大社会服务和推动绿色农业转型的计划，但这两类政策对老年人福祉的总体影响仍是一个未经检验的领域。本研究旨在考察社会服务可及性（SSA）与绿色农业发展强度（GADI）对农村老年人福祉（REW）的独立效应和联合效应，同时将生计韧性（LR）作为中介变量、数字鸿沟指数（DDI）作为调节条件纳入考量。SSA和GADI分别被操作化为省级层面的服务供给和农业发展强度综合指数，而非个体老年居民服务使用或耕作行为的直接测量指标；这一测量层次在全文中有明确说明。方法 本研究构建了一个面板数据集，数据在省级层面收集，覆盖中国30个省份2013年至2022年（N = 268）。由于西藏和海南在2013年之后才进入相关统计序列，有3个省份-年份单元缺失；另有29个单元因省份-年份子指标不完整而通过列表删除法被剔除。数据来源于《中国统计年鉴》、CNNIC互联网报告和中国健康与养老追踪调查。估计结果基于带交互项的双向固定效应回归，以及重复5,000次的Bootstrap中介分析。研究还通过IV-2SLS估计、缩尾处理、因变量替代设定、剔除直辖市以及动态面板（系统GMM）估计对结果进行了稳健性检验。结果 SSA对REW具有显著正向效应（β = 0.27，p \u003C 0.05），GADI亦然（β = 0.18，p \u003C 0.10）。SSA × GADI交互项显著且为正（β = 0.14，p \u003C 0.05），表明联合效应超过各组成部分的加性效应。生计韧性部分中介了SSA–REW路径（间接效应 = 0.09，95% CI [0.03, 0.16]）和GADI–REW路径（间接效应 =",null,"Frontiers in Sustainable Food Systems","2026-09-24T00:00:00Z","论文",10,false,86,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,14,9,1,"基于30省十年面板数据，首次量化社会服务可及性与绿色农业发展强度对农村老年福祉的协同效应，方法扎实、结论有政策参考价值，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","绿色农业","数字鸿沟","农业社会化服务","农村养老",{"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},[45,52,57,62],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":51},8,true,[],[29,50],"digital divide",[27,29],{"code":53,"score":22,"supported":14,"title":54,"abstract":55,"tags":56},"G2",[],[],[30],{"code":58,"score":22,"supported":14,"title":59,"abstract":60,"tags":61},"G5",[],[],[31],{"code":63,"score":22,"supported":14,"title":64,"abstract":65,"tags":66},"H8",[],[],[28],[68,69],"农村老年福祉 绿色农业 社会服务","中国农村 数字鸿沟 面板数据","农村老年福祉绿色农业社会服务-3457",3,"10.3389\u002Ffsufs.2026.1863204",{"doi":72,"openalex_id":74,"authors":75,"venue":10,"cited_by_count":80,"oa_url":6,"card":81,"direction":85,"ingested_from":87},"W7214194964",[76,78],{"name":77,"orcid":9},"Linxin Wang",{"name":79,"orcid":9},"Fengyi Wang",0,{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"用中国30省面板数据检验社会服务可及性与绿色农业发展强度对农村老年人福利的影响。","2013-2022年省级面板数据，双向固定效应、交互项与bootstrap中介检","两者均显著提升农村老年福利，且存在正向交互，生计韧性起部分中介作用。","数字乡村与农业信息化","可下沉到个体或村级数据，检验数字鸿沟调节下服务与绿色农业协同的微观福利机制。","openalex","2026-09-25T23:30:06.791118Z",{"total":90,"page":22,"page_size":90,"items":91},6,[92,151,201,244,309,360],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":98,"source_url":95,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":101,"sources":106,"tags":108,"primary_topic":112,"secondary_topics":113,"classification":114,"search_phrases":129,"slug":132,"view_count":80,"doi":133,"paper":134,"created_at":150},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":102,"substance":19,"depth":103,"authority":104,"freshness":21,"relevant":22,"comment":105},16,15,13,"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。",[107],{"name":98,"url":95},[27,109,29,110,111],"印尼","文献计量","智慧乡村",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":115},{"candidates":116,"agricultural_evidence":47},[117,123],{"code":118,"score":103,"supported":47,"title":119,"abstract":121,"tags":122},"I7",[120],"bibliometric",[110,120],[110],{"code":33,"score":124,"supported":47,"title":125,"abstract":126,"tags":128},11,[],[29,127,50],"digital village",[27,29],[130,131],"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":133,"openalex_id":135,"authors":136,"venue":98,"cited_by_count":80,"oa_url":95,"card":145,"direction":85,"ingested_from":87},"W7223067869",[137,139,142],{"name":138,"orcid":9},"Syaifulrijal Mahulauw",{"name":140,"orcid":141},"Wahab Tuanaya","https:\u002F\u002Forcid.org\u002F0009-0001-9236-8149",{"name":143,"orcid":144},"Marno Wance","https:\u002F\u002Forcid.org\u002F0000-0001-6663-7598",{"tldr":146,"method":147,"finding":148,"direction":85,"opportunity":149},"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":152,"title":153,"url":154,"summary":155,"summary_zh":9,"content":9,"source_name":156,"source_url":9,"published_at":157,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":158,"score_detail":159,"sources":161,"tags":163,"primary_topic":166,"secondary_topics":167,"classification":168,"search_phrases":187,"slug":190,"view_count":80,"doi":191,"paper":192,"created_at":200},5459,"数字乡村建设对农业能源韧性的影响研究 (Research on the Impact of Digital Village Construction on Agricultural Energy Resilience)","https:\u002F\u002Fdoi.org\u002F10.13872\u002Fj.1000-0275.2026.0997","基于2011—2024年30个省份面板数据，三维构建农业能源韧性指标，双向固定效应、中介与门槛模型检验。数字乡村显著提升农业能源韧性，农业社会化服务部分中介，呈单一门槛。粮食主产区与主销区显著。属网络首发。","农业现代化研究（网络首发）2026-10-19","2026-10-19T00:00:00Z",80,{"impact":19,"substance":17,"depth":19,"authority":20,"freshness":46,"relevant":22,"comment":160},"基于30省14年面板数据的网络首发论文，方法规范、结论有新意，但属学术细分议题，公共影响有限，可作精选备选。",[162],{"name":156,"url":154},[27,164,30,165],"粮食主产区","农业能源韧性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":169},{"candidates":170,"agricultural_evidence":47},[171,176,182],{"code":33,"score":172,"supported":47,"title":173,"abstract":174,"tags":175},20,[27,127],[27],[27],{"code":53,"score":177,"supported":47,"title":178,"abstract":179,"tags":181},4,[],[180],"社会化服务",[30],{"code":183,"score":22,"supported":14,"title":184,"abstract":185,"tags":186},"A8",[],[],[164],[188,189],"数字乡村 农业能源韧性","农业社会化服务 中介效应","数字乡村农业能源韧性-5459","10.13872\u002Fj.1000-0275.2026.0997",{"doi":191,"openalex_id":9,"authors":193,"venue":9,"cited_by_count":80,"oa_url":9,"card":194,"direction":85,"ingested_from":199},[],{"tldr":195,"method":196,"finding":197,"direction":85,"opportunity":198},"基于30省面板数据，检验数字乡村建设对农业能源韧性的提升作用。","2011—2024年30省面板数据，三维构建韧性指标，双向固定效应、中介与门槛模","数字乡村显著提升农业能源韧性，农业社会化服务部分中介，存在单一门槛，主产区与主销区显著。","可延伸研究数字乡村影响农业能源韧性的区域异质机制及社会化服务之外的中介路径。","agent","2026-10-21T00:10:08.067176Z",{"id":202,"title":203,"url":204,"summary":205,"summary_zh":9,"content":9,"source_name":206,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":207,"score_detail":208,"sources":211,"tags":213,"primary_topic":217,"secondary_topics":218,"classification":219,"search_phrases":232,"slug":235,"view_count":71,"doi":9,"paper":236,"created_at":243},4863,"数字化销售能否提升农户议价能力?","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fhznydxxbshkxb\u002Fmulu\u002F559120.html","基于数字经济赋能视角,本文结合1195份猕猴桃种植户问卷调查数据,运用条件混合回归模型实证探究数字化销售对农户议价能力的影响效果及其内在作用机制。结果表明:数字化销售可以显著提升农户议价能力,主要通过提高农户信息获取能力、增强农产品差异化以及提升农户风险承担能力三条路径实现;数字化销售对议价能力的提升存在明显的数字鸿沟,具体表现为低收入、低受教育水平农户与高收入、高受教育水平农户的议价能力提升效应存在显著差异;同乡镇内农户议价能力存在负向空间依赖性。","《华南农业大学学报(社会科学版)》西北农林科技大学",72,{"impact":102,"substance":17,"depth":19,"authority":20,"freshness":209,"relevant":22,"comment":210},2,"基于1195份猕猴桃种植户问卷的实证研究，揭示数字化销售提升农户议价能力的三条路径及数字鸿沟效应，数据扎实、结论有新意，但时效性偏弱。",[212],{"name":206,"url":204},[27,214,29,215,216],"猕猴桃","数字化销售","农户议价能力",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":220},{"candidates":221,"agricultural_evidence":47},[222,227],{"code":33,"score":223,"supported":47,"title":224,"abstract":225,"tags":226},5,[],[29],[27,29],{"code":228,"score":177,"supported":47,"title":229,"abstract":230,"tags":231},"B2",[],[214],[214],[233,234],"猕猴桃种植户 数字化销售 议价能力","华南农业大学学报 数字鸿沟 农户","猕猴桃种植户数字化销售议价能力-4863",{"doi":9,"openalex_id":9,"authors":237,"venue":9,"cited_by_count":80,"oa_url":9,"card":238,"direction":85,"ingested_from":199},[],{"tldr":239,"method":240,"finding":241,"direction":85,"opportunity":242},"基于猕猴桃种植户调查，实证检验数字化销售对农户议价能力的提升作用及机制。","1195份问卷数据，条件混合回归模型。","数字化销售显著提升议价能力，经信息获取、产品差异化、风险承担三条路径，且存在数字鸿沟。","可探究数字鸿沟下弱势农户的议价能力补偿机制及同乡镇负向空间依赖的成因。","2026-10-14T00:04:12.660164Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":9,"source_name":10,"source_url":247,"published_at":250,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":251,"sources":254,"tags":256,"primary_topic":260,"secondary_topics":261,"classification":262,"search_phrases":285,"slug":288,"view_count":209,"doi":289,"paper":290,"created_at":308},4003,"Does rural digitalization improve food production security? Evidence from China’s digital village construction policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1914989","Introduction Food production security (FPS) remains a core challenge for developing economies. Although rural digitalization serves as a fundamental strategy to reshape agricultural systems in developing countries, its impact on food supply resilience remains underexplored. Methods This study investigates the impact of rural digitalization on regional FPS by exploiting China’s Digital Village Construction policy as a quasi-natural experiment. We employ the DID model on a panel dataset comprising 334 prefecture-level cities from 2015 to 2024. Results The empirical results demonstrate that rural digitalization significantly improves regional FPS. Specifically, the digital intervention increases the FPS of treated cities by an average of 8.2 percent. Regarding the mechanisms, we find that rural digitalization enhances FPS by facilitating smallholders’ food production viability and promoting food-oriented land reallocation. Furthermore, heterogeneity analyses reveal that the impact is more pronounced in regions equipped with superior agricultural socialized services, advanced agricultural industry structures, and major food producing area designations. Discussion These findings demonstrate that comprehensive rural digitalization strengthens the resilience of food production systems in developing economies and offer guidance for other Global South countries pursuing similar rural development paradigms.","引言 粮食生产安全（Food Production Security, FPS）仍是发展中经济体面临的核心挑战。尽管乡村数字化是发展中国家重塑农业体系的基础性战略，但其对粮食供给韧性的影响仍缺乏深入探讨。方法 本研究以中国数字乡村建设政策作为准自然实验，考察乡村数字化对区域粮食生产安全的影响。我们基于2015年至2024年334个地级市的面板数据集，采用双重差分（DID）模型进行实证分析。结果 实证结果表明，乡村数字化显著提升了区域粮食生产安全。具体而言，数字干预使处理组城市的粮食生产安全平均提高8.2%。在机制方面，我们发现乡村数字化通过促进小农户的粮食生产可行性和推动粮食导向的土地再配置来增强粮食生产安全。此外，异质性分析显示，在农业社会化服务较优、农业产业结构较先进以及被划定为粮食主产区的地区，该影响更为显著。讨论 这些发现表明，全面的乡村数字化增强了发展中经济体粮食生产体系的韧性，并为其他全球南方国家追求类似乡村发展范式提供了借鉴。","2026-10-01T00:00:00Z",{"impact":252,"substance":17,"depth":19,"authority":104,"freshness":21,"relevant":22,"comment":253},24,"基于中国数字乡村政策准自然实验，用DID方法量化农村数字化对粮食生产安全的提升效应，数据规模大、结论可靠，对数字乡村与粮食安全主题有较高参考价值。",[255],{"name":10,"url":247},[27,257,258,30,259],"粮食安全","发展中国家","准自然实验",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":263},{"candidates":264,"agricultural_evidence":47},[265,269,275,281],{"code":33,"score":103,"supported":47,"title":266,"abstract":267,"tags":268},[127],[27,127],[27],{"code":53,"score":270,"supported":47,"title":271,"abstract":272,"tags":274},7,[],[180,273],"小农户",[30],{"code":276,"score":71,"supported":47,"title":277,"abstract":278,"tags":280},"G",[],[279],"rural development",[],{"code":183,"score":22,"supported":14,"title":282,"abstract":283,"tags":284},[],[],[257],[286,287],"数字乡村建设 粮食生产安全","农村数字化 粮食安全","数字乡村建设粮食生产安全-4003","10.3389\u002Ffsufs.2026.1914989",{"doi":289,"openalex_id":291,"authors":292,"venue":10,"cited_by_count":80,"oa_url":247,"card":303,"direction":85,"ingested_from":87},"W7215123040",[293,296,298,301],{"name":294,"orcid":295},"Meng Zhao","https:\u002F\u002Forcid.org\u002F0000-0003-2049-9147",{"name":297,"orcid":9},"Jianhua Wang",{"name":299,"orcid":300},"Jiaqing Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-4702-9495",{"name":302,"orcid":9},"Zixuan Ai",{"tldr":304,"method":305,"finding":306,"direction":85,"opportunity":307},"以中国数字乡村建设政策为准自然实验，评估农村数字化对区域粮食生产安全的影响。","基于334个地级市2015—2024年面板数据，采用双重差分（DID）模型。","农村数字化使处理组城市粮食生产安全平均提升8.2%，通过小农户生产可行性与耕地再配置实现。","可探究数字乡村政策对粮食安全的长期动态效应及社会化服务、产业结构的门槛机制。","2026-10-02T23:30:10.524948Z",{"id":310,"title":311,"url":312,"summary":313,"summary_zh":9,"content":314,"source_name":315,"source_url":9,"published_at":316,"category":317,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":318,"sources":321,"tags":323,"primary_topic":327,"secondary_topics":328,"classification":329,"search_phrases":355,"slug":358,"view_count":209,"doi":9,"paper":9,"created_at":359},3706,"让广大农民共享数字红利","https:\u002F\u002Fk.sina.com.cn\u002Farticle_7517400647_1c0126e4705909aoc0.html","数字乡村是乡村振兴的发展方向。数字化缩小城乡差距，但也须正视数字鸿沟。农村电商、移动社交、数字娱乐在农村普及较快，但农村数字基础设施建设仍相对薄弱。各地应把握数字化机遇，用好数字技术、释放数字红利，补齐短板、弥合差距。","数字乡村是乡村振兴的发展方向。以数字化赋能乡村建设，是大势所趋、发展所需，也是实现农业农村现代化的必然要求。\n\n近日，中央网信办、农业农村部、工业和信息化部联合印发《数字乡村高质量发展行动计划（2026—2030年）》，明确了“十五五”时期推进数字乡村高质量发展的思路目标、重点任务和政策举措，从乡村产业数字化、乡村建设信息化、乡村治理智慧化等方面进行部署。数字化缩小了城乡差距，但也须正视数字鸿沟。当前，农村电商、移动社交、数字娱乐在农村普及较快，但农村数字基础设施建设仍相对薄弱，数字技术与农业发展、农村治理、农民生活的深度融合尚在探索之中。各地应把握数字化机遇，用好数字技术、释放数字红利，补齐短板、弥合差距，进一步强农惠农富农。\n\n数字化浪潮奔涌向前，照见生机勃勃的“数字田野”，广袤乡村正悄然发生哪些改变？智慧种养，让田间管理更精准、养殖决策更科学，推动传统农牧业向数字化、智能化加速转型；乡镇村屯利用大数据、人工智能等前沿技术，实现乡村数据的高效采集与精准分析，为乡村治理提供科学决策依据；温室大棚依托物联网智能平台，让远程调控、精准作业成为常态，四季智慧生产的愿景走进现实；农产品有了“数字身份证”，乡村产业与溯源体系深度融合，品牌价值进一步提升……从各地实践看，我们要立足数字乡村建设，着力从完善数字基础设施、提升农民数字素养、发展数字普惠产业、健全数字治理模式等多个维度发力，为乡村振兴带来全新的发展方式和治理模式，促进农村生产、经营、生活的数字化转型。\n\n让农民共享“数字红利”，应进一步完善数字乡村基础设施。特别要在农村地区加快布局5G、人工智能、物联网等设施，实现数字技术与农业生产的深度融合，统筹推进智慧乡村、智慧农业、智慧物流建设，筑牢数字乡村发展基础。各地要有效提升农民数字素养和数字技能，加强组织培训、丰富培训内容、创新培训方式，让数据真正成为农民生产的“新农资”、农村生活的“新农具”，从而把数字红利转化为广大农民看得见、摸得着、用得上的幸福感。\n\n让农民共享“数字红利”，着力点在于构建数字乡村治理新体系。随着数字化技术融入乡村治理，一些地区的数字乡村平台已将服务和信息精准送达到户，把教育、医疗、农技等资源下沉到村，使村民“小事不出门、大事不出村”，基层治理效率显著提升。面向未来，各地要善用数字技术在便民服务、民情沟通中的优势，以数据多跑路换取乡亲少跑腿，推动公共服务数字化惠及更多农民，提升乡村数字化产品供给质量和服务水平，不断提高优质资源在乡村治理中的作用，让农村居民在信息化发展中有更多安全感。\n\n让农民共享“数字红利”，要培育更多数字乡村新业态。从各地看，农村地区自然条件差异大、发展水平不一、优势特点各异，这为探索具有地方特色的数字乡村建设创造了条件。可在农村地区发展电子商务、建立智慧旅游、在线教育等数字产业，帮助农村居民借助电商平台销售农产品，依托直播形式展示乡村文化、拓展增收空间。应当鼓励农村合作社、家庭农场等新型经营主体充分接纳数字技术，通过建设溯源系统提高农产品附加值，用大数据分析需求、优化生产，让农村中小微企业、个体创业者更有获得感。\n\n特别声明：以上文章内容仅代表作者本人观点，不代表新浪网观点或立场。如有关于作品内容、版权或其它问题请于作品发表后的30日内与新浪网联系。","长春日报","2026-09-25T00:00:00Z","报道",{"impact":319,"substance":19,"depth":103,"authority":90,"freshness":90,"relevant":22,"comment":320},26,"围绕国家数字乡村新政的评论报道，政策层级高但属观点综述，可作为数字乡村主题聚合素材。",[322],{"name":315,"url":312},[324,27,325,326,29],"农村电商","乡村治理","智慧农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":330},{"candidates":331,"agricultural_evidence":47},[332,336,341,346,350],{"code":33,"score":46,"supported":47,"title":333,"abstract":334,"tags":335},[],[27,29],[27,29],{"code":337,"score":177,"supported":47,"title":338,"abstract":339,"tags":340},"E5",[],[324],[324],{"code":276,"score":71,"supported":47,"title":342,"abstract":343,"tags":345},[],[344],"乡村振兴",[],{"code":58,"score":22,"supported":14,"title":347,"abstract":348,"tags":349},[],[],[325],{"code":351,"score":22,"supported":14,"title":352,"abstract":353,"tags":354},"I1",[],[],[326],[356,357],"中央网信办 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