[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4205":3,"related-4205":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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":57,"slug":60,"view_count":61,"doi":62,"paper":63,"created_at":88},4205,"A socio-technical mechanism of the agricultural digital divide: Ecuador within a heterogeneous Latin American context","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1957539","Digital agriculture can improve farm management, resource-use efficiency, and decision-making; however, access to technology alone does not guarantee equivalent economic benefits. This perspective article conceptualizes the agricultural digital divide as a socio-technical and economic inequality that can arise along a sequence linking structural conditions, resource accessibility, capability formation, technological appropriation, productive integration, economic value realization, and value capture and benefit distribution. This definition extends the analysis beyond connectivity and adoption by considering whether agricultural actors can integrate technologies into viable productive activities and retain a significant share of the value generated. Institutions, extension services, cooperatives, financing mechanisms, technology providers, business models, and data governance can shape the transitions between these stages. Ecuador is examined as a focal analytical case within a heterogeneous Latin America, without assuming regional representativeness. The framework redirects the evaluation of digitalization away from the number of technologies deployed and toward their productive appropriation, economic viability, and the distribution of their benefits, thereby reinforcing the relationship between digital transformation and agricultural economics.","数字农业可以改善农场管理、资源利用效率和决策，然而仅获得技术并不保证能带来同等的经济效益。这篇观点性文章将农业数字鸿沟概念化为一种社会—技术与经济不平等，它可能沿着一条由结构性条件、资源可及性、能力形成、技术 appropriation、生产性整合、经济价值实现，以及价值获取与收益分配相连接的序列而产生。该定义将分析从连通性和采用扩展到农业主体能否将技术整合进可行的生产活动，并保留所创造价值的显著份额。制度、推广服务、合作社、融资机制、技术提供者、商业模式和数据治理可以塑造这些阶段之间的过渡。厄瓜多尔被作为一个异质性拉丁美洲中的焦点分析案例加以考察，但不假定其具有区域代表性。该框架将数字化的评估重点从已部署技术的数量转向其生产性 appropriation、经济可行性及其收益分配，从而强化数字化转型与农业经济学之间的关系。",null,"Frontiers in Sustainable Food Systems","2026-10-05T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},16,21,18,13,1,"从社会技术视角重构农业数字鸿沟分析框架，超越接入率指标，对数字乡村与智慧农业政策评估有借鉴价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字农业","农业经济","数据治理","数字鸿沟","拉美农业",{"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":45},[44,50],{"code":32,"score":17,"supported":45,"title":46,"abstract":48,"tags":49},true,[47],"digital divide",[29,47],[29,28],{"code":51,"score":52,"supported":45,"title":53,"abstract":54,"tags":56},"I1",7,[],[26,55],"digital agriculture",[26],[58,59],"厄瓜多尔 农业数字鸿沟","拉美 数字农业 经济","厄瓜多尔农业数字鸿沟-4205",3,"10.3389\u002Ffsufs.2026.1957539",{"doi":62,"openalex_id":64,"authors":65,"venue":10,"cited_by_count":80,"oa_url":6,"card":81,"direction":85,"ingested_from":87},"W7219729057",[66,69,72,74,77],{"name":67,"orcid":68},"Raquel Gomez","https:\u002F\u002Forcid.org\u002F0000-0002-0436-7518",{"name":70,"orcid":71},"Karina Real-Avilés","https:\u002F\u002Forcid.org\u002F0000-0002-9630-3422",{"name":73,"orcid":9},"Ana Arellano-Arcentales",{"name":75,"orcid":76},"Paola Grijalva-Arriaga","https:\u002F\u002Forcid.org\u002F0000-0003-2616-417X",{"name":78,"orcid":79},"Mariana Marisol Briones Zambrano","https:\u002F\u002Forcid.org\u002F0000-0002-9481-2426",0,{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"将农业数字鸿沟概念化为从结构条件到价值分配的社会技术经济不平等序列，并以厄瓜多尔为例。","概念性框架分析，结合厄瓜多尔案例与拉美异质性背景。","数字农业评估应从技术部署数量转向生产性挪用、经济可行性与收益分配。","数字乡村与农业信息化","可实证检验各阶段转换机制，并比较不同拉美国家数字农业价值捕获差异。","openalex","2026-10-05T23:30:07.312755Z",{"total":90,"page":21,"page_size":90,"items":91},6,[92,151,219,264,316,373],{"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":105,"tags":107,"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":17,"substance":19,"depth":102,"authority":20,"freshness":103,"relevant":21,"comment":104},15,9,"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。",[106],{"name":98,"url":95},[108,109,29,110,111],"数字乡村","印尼","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":115},{"candidates":116,"agricultural_evidence":45},[117,123],{"code":118,"score":102,"supported":45,"title":119,"abstract":121,"tags":122},"I7",[120],"bibliometric",[110,120],[110],{"code":32,"score":124,"supported":45,"title":125,"abstract":126,"tags":128},11,[],[29,127,47],"digital village",[108,29],[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":156,"content":9,"source_name":10,"source_url":154,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":157,"score_detail":158,"sources":162,"tags":164,"primary_topic":168,"secondary_topics":169,"classification":170,"search_phrases":200,"slug":203,"view_count":80,"doi":204,"paper":205,"created_at":218},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。",85,{"impact":159,"substance":160,"depth":19,"authority":20,"freshness":103,"relevant":21,"comment":161},22,23,"基于1743个县面板数据的准自然实验，方法扎实、结论有政策参考价值，值得进入每日精选。",[163],{"name":10,"url":154},[26,108,165,166,167],"县域经济","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":171},{"candidates":172,"agricultural_evidence":45},[173,177,184,190,196],{"code":32,"score":102,"supported":45,"title":174,"abstract":175,"tags":176},[127],[108,127],[108],{"code":178,"score":90,"supported":45,"title":179,"abstract":180,"tags":183},"I2",[],[181,182],"机器学习","machine learning",[],{"code":185,"score":61,"supported":45,"title":186,"abstract":187,"tags":189},"G",[],[188],"rural development",[],{"code":191,"score":192,"supported":14,"title":193,"abstract":194,"tags":195},"G4",2,[],[],[167,165],{"code":51,"score":21,"supported":14,"title":197,"abstract":198,"tags":199},[],[],[26],[201,202],"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":204,"openalex_id":206,"authors":207,"venue":10,"cited_by_count":80,"oa_url":154,"card":213,"direction":85,"ingested_from":87},"W7223041086",[208,210],{"name":209,"orcid":9},"Su Li",{"name":211,"orcid":212},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":214,"method":215,"finding":216,"direction":85,"opportunity":217},"用双重机器学习与空间DID评估数字乡村试点政策对新农业业态创业活力的影响。","基于1743县2014-2023面板数据，用DML与SDM-DID做准自然实验。","试点政策显著提升新农业业态创业，经技术创新、数字基建与数字金融中介，并对邻县有负向溢出。","可探究政策负向空间溢出的形成机制及跨县协同激励设计，避免创业资源虹吸。","2026-10-21T23:30:07.205317Z",{"id":220,"title":221,"url":222,"summary":223,"summary_zh":9,"content":9,"source_name":224,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":225,"score_detail":226,"sources":229,"tags":231,"primary_topic":235,"secondary_topics":236,"classification":237,"search_phrases":251,"slug":254,"view_count":61,"doi":9,"paper":255,"created_at":263},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":17,"substance":159,"depth":19,"authority":227,"freshness":192,"relevant":21,"comment":228},14,"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。",[230],{"name":224,"url":222},[108,232,29,233,234],"猕猴桃","数字化销售","农户议价能力",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":238},{"candidates":239,"agricultural_evidence":45},[240,245],{"code":32,"score":241,"supported":45,"title":242,"abstract":243,"tags":244},5,[],[29],[108,29],{"code":246,"score":247,"supported":45,"title":248,"abstract":249,"tags":250},"B2",4,[],[232],[232],[252,253],"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":256,"venue":9,"cited_by_count":80,"oa_url":9,"card":257,"direction":85,"ingested_from":262},[],{"tldr":258,"method":259,"finding":260,"direction":85,"opportunity":261},"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。","agent","2026-10-14T00:04:12.660164Z",{"id":265,"title":266,"url":267,"summary":268,"summary_zh":9,"content":269,"source_name":270,"source_url":9,"published_at":271,"category":272,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":273,"sources":276,"tags":278,"primary_topic":282,"secondary_topics":283,"classification":284,"search_phrases":311,"slug":314,"view_count":192,"doi":9,"paper":9,"created_at":315},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":274,"substance":19,"depth":102,"authority":90,"freshness":90,"relevant":21,"comment":275},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。",[277],{"name":270,"url":267},[279,108,280,281,29],"农村电商","乡村治理","智慧农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":285},{"candidates":286,"agricultural_evidence":45},[287,292,297,302,307],{"code":32,"score":288,"supported":45,"title":289,"abstract":290,"tags":291},8,[],[108,29],[108,29],{"code":293,"score":247,"supported":45,"title":294,"abstract":295,"tags":296},"E5",[],[279],[279],{"code":185,"score":61,"supported":45,"title":298,"abstract":299,"tags":301},[],[300],"乡村振兴",[],{"code":303,"score":21,"supported":14,"title":304,"abstract":305,"tags":306},"G5",[],[],[280],{"code":51,"score":21,"supported":14,"title":308,"abstract":309,"tags":310},[],[],[281],[312,313],"中央网信办 农业农村部 数字乡村","乡村治理 农村电商 数字乡村 数字鸿沟","中央网信办农业农村部数字乡村-3706","2026-09-29T00:08:19.959804Z",{"id":317,"title":318,"url":319,"summary":320,"summary_zh":321,"content":9,"source_name":10,"source_url":319,"published_at":322,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":323,"score_detail":324,"sources":326,"tags":328,"primary_topic":332,"secondary_topics":333,"classification":334,"search_phrases":355,"slug":358,"view_count":61,"doi":359,"paper":360,"created_at":372},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 =","2026-09-24T00:00:00Z",86,{"impact":159,"substance":160,"depth":19,"authority":227,"freshness":103,"relevant":21,"comment":325},"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。",[327],{"name":10,"url":319},[108,329,29,330,331],"绿色农业","农业社会化服务","农村养老",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":335},{"candidates":336,"agricultural_evidence":45},[337,341,346,350],{"code":32,"score":288,"supported":45,"title":338,"abstract":339,"tags":340},[],[29,47],[108,29],{"code":342,"score":21,"supported":14,"title":343,"abstract":344,"tags":345},"G2",[],[],[330],{"code":303,"score":21,"supported":14,"title":347,"abstract":348,"tags":349},[],[],[331],{"code":351,"score":21,"supported":14,"title":352,"abstract":353,"tags":354},"H8",[],[],[329],[356,357],"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","10.3389\u002Ffsufs.2026.1863204",{"doi":359,"openalex_id":361,"authors":362,"venue":10,"cited_by_count":80,"oa_url":319,"card":367,"direction":85,"ingested_from":87},"W7214194964",[363,365],{"name":364,"orcid":9},"Linxin Wang",{"name":366,"orcid":9},"Fengyi Wang",{"tldr":368,"method":369,"finding":370,"direction":85,"opportunity":371},"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。","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。","2026-09-25T23:30:06.791118Z",{"id":374,"title":375,"url":376,"summary":377,"summary_zh":378,"content":9,"source_name":10,"source_url":376,"published_at":322,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":379,"score_detail":380,"sources":382,"tags":384,"primary_topic":387,"secondary_topics":388,"classification":389,"search_phrases":431,"slug":434,"view_count":192,"doi":435,"paper":436,"created_at":450},3453,"The impact of digital village construction on rural population migration decisions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1875724","Introduction With the widespread application of digital technologies such as big data and cloud computing in agriculture and rural areas, digital village construction has become a key initiative for promoting agricultural modernization and rural revitalization. Understanding how this process reshapes rural population mobility is therefore essential. This paper examines the impact of digital rural construction on rural residents’ migration decisions and identifies the underlying mechanisms. Methods We match household-level data from the 2020 China Rural Revitalization Survey (CRRS) with the county-level Digital Rural Index developed by Peking University, and estimate Logit models of the out-migration decision. A comprehensive battery of robustness checks is conducted, including alternative estimation models, sample restriction, exclusion of policy confounding, replacement of the core explanatory and dependent variables, omitted variable tests, and instrumental variable approaches. Mechanism and heterogeneity analyses are then performed. Results Digital rural construction significantly inhibits rural population out-migration, and this finding remains robust across all checks. The inhibitory effect is transmitted primarily through two mechanisms: encouraging non-agricultural business participation and expanding the scale of rural industries. The substitution effect arising from improved land resource allocation efficiency is weaker than the labor release effect of land transfer. The effect is more pronounced in eastern and western regions, among part-time farming and non-agricultural households, in non-mountainous areas, and among labor force groups aged 40 and above with junior secondary education or below. Digital rural construction also increases both the non-agricultural business income and the wage income of rural households. Discussion By uncovering the specific pathways and group-level heterogeneity through which digital village construction shapes migration decisions at the micro level, this study provides empirical evidence and policy implications for leveraging digitalization to promote local rural employment and advance urban–rural integrated development.","引言 随着大数据、云计算等数字技术在农业农村领域的广泛应用，数字乡村建设已成为推进农业现代化和乡村振兴的重要举措。理解这一过程如何重塑农村人口流动，因而至关重要。本文考察数字乡村建设对农村居民迁移决策的影响，并识别其内在机制。方法 本文将2020年中国乡村振兴调查（CRRS）的农户层面数据与北京大学发布的县域数字乡村指数进行匹配，估计农村人口外流决策的Logit模型。研究进行了一系列全面的稳健性检验，包括替代估计模型、样本限制、排除政策混杂因素、替换核心解释变量和被解释变量、遗漏变量检验以及工具变量方法。随后进行机制分析和异质性分析。结果 数字乡村建设显著抑制了农村人口外流，且这一发现在所有检验中均保持稳健。这种抑制效应主要通过两条机制传导：促进非农创业参与和扩大乡村产业规模。土地资源配置效率提升所带来的替代效应弱于土地流转的劳动力释放效应。该效应在东部和西部地区、兼业农户和非农户、非山区，以及40岁及以上、初中及以下学历的劳动力群体中更为明显。数字乡村建设还提高了农村家庭的非农经营收入和工资性收入。讨论 通过揭示数字乡村建设在微观层面影响迁移决策的具体路径和群体异质性，本研究为利用数字化促进农村本地就业、推进城乡融合发展提供了经验证据和政策启示。",84,{"impact":159,"substance":160,"depth":19,"authority":20,"freshness":288,"relevant":21,"comment":381},"基于CRRS与北大数字乡村指数的微观实证研究，机制与异质性分析扎实，对数字乡村就业政策有参考价值。",[383],{"name":10,"url":376},[26,108,300,385,386],"城乡融合","农村人口流动",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":390},{"candidates":391,"agricultural_evidence":45},[392,396,402,409,413,418,423,427],{"code":32,"score":102,"supported":45,"title":393,"abstract":394,"tags":395},[127],[108,127],[108],{"code":342,"score":90,"supported":45,"title":397,"abstract":398,"tags":401},[],[399,400],"土地流转","land transfer",[],{"code":403,"score":90,"supported":45,"title":404,"abstract":405,"tags":408},"J2",[],[406,407],"农业现代化","agricultural modernization",[],{"code":185,"score":247,"supported":45,"title":410,"abstract":411,"tags":412},[],[300],[300],{"code":191,"score":61,"supported":45,"title":414,"abstract":415,"tags":417},[],[416],"乡村产业",[],{"code":419,"score":61,"supported":45,"title":420,"abstract":421,"tags":422},"G6",[],[385],[],{"code":303,"score":21,"supported":14,"title":424,"abstract":425,"tags":426},[],[],[385],{"code":51,"score":21,"supported":14,"title":428,"abstract":429,"tags":430},[],[],[26],[432,433],"中国乡村振兴调查 数字乡村指数","数字乡村建设 农村劳动力迁移","中国乡村振兴调查数字乡村指数-3453","10.3389\u002Ffsufs.2026.1875724",{"doi":435,"openalex_id":437,"authors":438,"venue":10,"cited_by_count":80,"oa_url":376,"card":445,"direction":85,"ingested_from":87},"W7214148499",[439,441,443],{"name":440,"orcid":9},"Deshan Li",{"name":442,"orcid":9},"Shuangqiang Li",{"name":444,"orcid":9},"Fengming Li",{"tldr":446,"method":447,"finding":448,"direction":85,"opportunity":449},"数字乡村建设显著抑制农村人口外流，并揭示其作用机制与群体异质性。","匹配2020年CRRS农户数据与北大县域数字乡村指数，构建Logit模型。","数字乡村建设通过促进非农创业和扩大乡村产业规模抑制外迁，且效应存在区域与群体差异。","可探究数字乡村抑制外迁的长期动态效应及对城乡收入差距的反馈机制。","2026-09-25T23:30:06.381563Z"]