[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3438":3,"related-3438":78},{"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":8,"secondary_topics":30,"classification":31,"search_phrases":63,"slug":66,"view_count":52,"doi":8,"paper":67,"created_at":77},3438,"《数字乡村建设与城乡收入差距：一个U型关系》——基于县域数字乡村发展指数","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fhznydxxbshkxb\u002Fmulu\u002F559280.html","李晓慧、李谷成基于偏向型技术进步理论，利用县域数字乡村发展指数与县域经济统计数据实证检验数字乡村建设与城乡收入差距之间的关系。基准回归结果显示数字乡村建设对城乡收入差距的影响呈现出先缩小后扩大的U型效应；从各维度看，数字基础设施对城乡收入差距的影响处于扩大阶段，而乡村经济数字化、乡村治理数字化及乡村生活数字化对城乡收入差距的影响处于缩小阶段；机制研究显示技能溢价是阻碍数字乡村建设缩小城乡收入差距的重要因素。",null,"《华中农业大学学报（社会科学版）》","2026-09-20T00:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,6,1,"核心期刊实证研究，基于县域指数揭示数字乡村与城乡收入差距的U型关系及技能溢价机制，结论具政策参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","数字基础设施","县域经济","城乡收入差距","技能溢价",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"needs_review","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":13,"reason":62},[37,44,50,57],{"code":38,"score":39,"supported":40,"title":41,"abstract":42,"tags":43},"I6",13,true,[25],[25],[25,26],{"code":45,"score":46,"supported":40,"title":47,"abstract":48,"tags":49},"G4",4,[],[27],[27],{"code":51,"score":52,"supported":40,"title":53,"abstract":54,"tags":56},"G5",3,[],[55],"乡村治理",[],{"code":58,"score":20,"supported":13,"title":59,"abstract":60,"tags":61},"G6",[],[],[28],"农业相关性需要复核",[64,65],"数字乡村 城乡收入差距","城乡收入差距 数字基础设施 县域经济 技能溢价","数字乡村城乡收入差距-3438",{"doi":8,"openalex_id":8,"authors":68,"venue":8,"cited_by_count":69,"oa_url":8,"card":70,"direction":74,"ingested_from":76},[],0,{"tldr":71,"method":72,"finding":73,"direction":74,"opportunity":75},"基于县域数字乡村发展指数，实证检验数字乡村建设与城乡收入差距呈先缩小后扩大的U型关系。","偏向型技术进步理论，县域数字乡村发展指数与县域经济统计数据实证回归。","数字乡村建设对城乡收入差距呈U型效应，技能溢价是阻碍其缩小差距的重要因素。","数字乡村与农业信息化","可探究技能溢价门槛下数字乡村各维度对收入差距的异质性影响及技能培训等调节机制。","agent","2026-09-25T00:09:33.905388Z",{"total":19,"page":20,"page_size":19,"items":79},[80,170,267,334,377,423],{"id":81,"title":82,"url":83,"summary":84,"summary_zh":85,"content":8,"source_name":86,"source_url":83,"published_at":87,"category":11,"cover_url":8,"hotness":88,"is_selected":13,"score":89,"score_detail":90,"sources":93,"tags":98,"primary_topic":101,"secondary_topics":106,"classification":112,"search_phrases":141,"slug":144,"view_count":19,"doi":145,"paper":146,"created_at":169},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":16,"substance":17,"depth":16,"authority":39,"freshness":91,"relevant":20,"comment":92},9,"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。",[94,95],{"name":86,"url":83},{"name":96,"url":97},"MDPI Land 15(10), 1801 2026-09-25","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F10\u002F1801",[25,27,99,100,28],"农业数字化","山区农业",{"code":38,"slug":102,"name":103,"path":104,"parent_code":105},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[107],{"code":58,"slug":108,"name":109,"path":110,"parent_code":111},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",{"status":113,"locked":13,"version":33,"method":34,"evidence":114},"classified",{"candidates":115,"agricultural_evidence":40},[116,122,128,132,136],{"code":38,"score":117,"supported":40,"title":118,"abstract":120,"tags":121},15,[119],"digital village",[25,119],[25],{"code":58,"score":123,"supported":40,"title":124,"abstract":126,"tags":127},12,[125],"rural income",[125],[28],{"code":45,"score":20,"supported":13,"title":129,"abstract":130,"tags":131},[],[],[27],{"code":105,"score":20,"supported":13,"title":133,"abstract":134,"tags":135},[],[],[99],{"code":137,"score":20,"supported":13,"title":138,"abstract":139,"tags":140},"I1",[],[],[99],[142,143],"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","10.3390\u002Fland15101801",{"doi":145,"openalex_id":147,"authors":148,"venue":86,"cited_by_count":69,"oa_url":83,"card":163,"direction":74,"ingested_from":168},"W7214349448",[149,152,155,158,160],{"name":150,"orcid":151},"Xueting Yang","https:\u002F\u002Forcid.org\u002F0000-0003-4633-2185",{"name":153,"orcid":154},"Xiaoping Qiu","https:\u002F\u002Forcid.org\u002F0000-0001-6310-5959",{"name":156,"orcid":157},"Fubiao Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-4606-3336",{"name":159,"orcid":8},"Mingkai Xu",{"name":161,"orcid":162},"Yun Xu","https:\u002F\u002Forcid.org\u002F0000-0002-2442-7792",{"tldr":164,"method":165,"finding":166,"direction":74,"opportunity":167},"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。","openalex","2026-09-26T23:30:38.665617Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":8,"content":175,"source_name":176,"source_url":8,"published_at":177,"category":178,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":179,"sources":183,"tags":185,"primary_topic":189,"secondary_topics":195,"classification":200,"search_phrases":262,"slug":265,"view_count":69,"doi":8,"paper":8,"created_at":266},5499,"辽宁省印发「十五五」县域经济高质量发展规划 建设22个单产提升整建制县","https:\u002F\u002Fwww.ln.gov.cn\u002Fweb\u002Fzwgkx\u002Fzfwj\u002Fszfbgtwj\u002F2026n\u002F2026101915441826587\u002Findex.shtml","规划要求农产品主产区县域深入实施新一轮千亿斤粮食产能提升行动，建设18个玉米单产提升整建制推进县、2个大豆与2个水稻整建制推进县。同时提出大力发展智慧农业，推广先进适用农机装备，稳步推进沿海盐碱地与辽西风沙地综合利用，构建「省级品牌+区域公用品牌+企业品牌」体系并提升特色农产品电商化率。","（十三）推进基础设施补短板。积极融入全省“六张网”建设，找准节点位置，打通基础设施“最后一公里”，提升县域安全韧性、产业要素、市场流通保障能力。融入全省水网建设格局，重点推动盘山、开原等灌区现代化改造，全面提升县域供水安全、粮食安全等保障能力，到2030年，农村自来水普及率达到98%。融入全省新型电网建设格局，重点推进康平、瓦房店等新型储能项目建设实施，提高城乡供电可靠性和防灾抗灾水平。实施县城老旧管网更新改造，统筹城乡防洪排涝，高质量推进城市更新，推进宜居县城建设，开展县城体检。健全县乡村三级物流配送体系，加强地邮协作，打造集中共配型县级客货邮综合服务中心、兼具中转和末端服务的乡镇客货邮综合服务站、“一站式”村级客货邮综合服务点，建有村级寄递物流综合服务站的建制村比例达到90%。实施新一轮农村公路提升行动，实现乡镇100%通双车道，建制村100%通等级路，农村公路铺装率达到98%。加快“双千兆”网络向农村延伸，缩小城乡数字基础设施差距，加快县城、乡镇和有条件的行政村接入网络10G-PON提质升级改造。加快建设提升一批农产品产地冷藏保鲜设施、农产品冷链仓储、农副产品批发市场，持续补齐农产品仓储物流产销等县域消费基础设施短板。\n\n（十四）加快推进基本公共服务均等化。强化中心镇和重点镇公共服务节点功能，引导公共服务直达基层末梢。落实县域普通高中振兴行动计划，到2030年，支持50所以上县域普通高中改善办学条件、提升办学质量，新建续建12所县域普通高中。根据人口变化统筹教育资源，优化农村学校布局，提高农村教育质量，加快城乡义务教育学校标准化建设。持续提升县级医院综合能力，深化紧密型县域医共体建设，提高乡镇卫生院基本医疗卫生服务水平。推进生育支持政策和激励措施落实，有效降低家庭生育养育教育成本，加强妇女和儿童健康服务。加强乡镇区域养老服务中心能力建设，探索村级邻里互助点、农村幸福院等农村互助性养老模式。深化农村移风易俗，提高社会文明程度，鼓励争创县级全国文明城市。","辽宁省人民政府 2026-10-19","2026-10-19T00:00:00Z","政策",{"impact":17,"substance":180,"depth":181,"authority":18,"freshness":19,"relevant":20,"comment":182},20,16,"省级十五五县域经济规划，含单产提升整建制县、数字基础设施与物流体系等具体条款，政策信息增量足，值得精选。",[184],{"name":176,"url":173},[25,186,187,27,188],"十五五规划","单产提升","农村物流",{"code":190,"slug":191,"name":192,"path":193,"parent_code":194},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[196],{"code":45,"slug":197,"name":198,"path":199,"parent_code":111},"rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry",{"status":113,"locked":13,"version":33,"method":34,"evidence":201},{"candidates":202,"agricultural_evidence":40},[203,208,212,218,224,230,236,242,248,253,257],{"code":190,"score":117,"supported":40,"title":204,"abstract":205,"tags":207},[187],[187,206],"粮食产能",[187],{"code":45,"score":91,"supported":40,"title":209,"abstract":210,"tags":211},[27],[],[27],{"code":213,"score":52,"supported":40,"title":214,"abstract":215,"tags":217},"A1",[],[216],"水稻",[],{"code":219,"score":52,"supported":40,"title":220,"abstract":221,"tags":223},"A3",[],[222],"玉米",[],{"code":225,"score":52,"supported":40,"title":226,"abstract":227,"tags":229},"A4",[],[228],"大豆",[],{"code":231,"score":52,"supported":40,"title":232,"abstract":233,"tags":235},"E5",[],[234],"农产品电商",[],{"code":237,"score":52,"supported":40,"title":238,"abstract":239,"tags":241},"F5",[],[240],"农机",[],{"code":243,"score":52,"supported":40,"title":244,"abstract":245,"tags":247},"H2",[],[246],"盐碱地",[],{"code":137,"score":52,"supported":40,"title":249,"abstract":250,"tags":252},[],[251],"智慧农业",[],{"code":38,"score":20,"supported":13,"title":254,"abstract":255,"tags":256},[],[],[25],{"code":258,"score":20,"supported":13,"title":259,"abstract":260,"tags":261},"J1",[],[],[186],[263,264],"辽宁 十五五 县域经济","单产提升 整建制县","辽宁十五五县域经济-5499","2026-10-22T00:06:58.183119Z",{"id":268,"title":269,"url":270,"summary":271,"summary_zh":272,"content":8,"source_name":273,"source_url":270,"published_at":274,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":275,"score_detail":276,"sources":279,"tags":281,"primary_topic":285,"secondary_topics":286,"classification":287,"search_phrases":315,"slug":318,"view_count":69,"doi":319,"paper":320,"created_at":333},5469,"How institutional digitalization reshapes entrepreneurial activity in new agricultural business forms: quasi-natural experimental evidence from China's Digital Village Pilot Policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1946061","New agricultural business forms are a key driving force for developing countries to overcome the constraints of traditional agriculture and achieve sustainability in food systems. However, it remains unclear whether institutional digitalization can effectively stimulate entrepreneurial vitality in new agricultural business forms. This study develops a theoretical framework of “opportunity creation–opportunity identification–opportunity transformation” and treats China's Digital Village Pilot Policy (DVPP), implemented in 2020, as a quasi-natural experiment. Based on panel data from 1,743 counties in China from 2014 to 2023, this study employs Double Machine Learning (DML) and Spatial Durbin Difference-in-Differences (SDM-DID) models, among other methods, to systematically identify the impact, transmission mechanisms, heterogeneous effects, and spatial spillover effects of institutional digitalization on Entrepreneurial Activity in New Agricultural Business Forms (EANA). The results reveal that: (1) DVPP significantly enhances EANA, and this finding remains robust after a series of tests, including placebo tests, Propensity Score Matching–Difference-in-Differences (PSM-DID), Synthetic Control Method–Difference-in-Differences (SCM-DID), and instrumental variable (IV) estimation; (2) agricultural technological innovation, digital infrastructure development, and digital financial development serve as mediating mechanisms; (3) the policy effects are more pronounced in counties with higher levels of digital access, better-developed transportation infrastructure, and higher levels of digital financial development, exhibiting a pattern of Central > Western > Eastern regions, and are significantly stronger in areas with advantages in characteristic agricultural products; (4) DVPP generates a significant negative spatial spillover effect on EANA in neighboring counties. This study expands theoretical understanding of the relationship between institutional digitalization and entrepreneurship in new agricultural business forms and provides empirical evidence for China and other developing countries to optimize digital rural development and foster new agricultural business forms.","农业新业态是发展中国家突破传统农业约束、实现食物系统可持续发展的关键驱动力。然而，制度数字化能否有效激发农业新业态的创业活力仍不明确。本研究构建了“机会创造—机会识别—机会转化”的理论框架，并将中国2020年实施的数字乡村试点政策（Digital Village Pilot Policy，DVPP）视为准自然实验。基于中国1743个县2014—2023年的面板数据，本研究采用双重机器学习（Double Machine Learning，DML）和空间杜宾双重差分（Spatial Durbin Difference-in-Differences，SDM-DID）等模型，系统识别制度数字化对农业新业态创业活动（Entrepreneurial Activity in New Agricultural Business Forms，EANA）的影响、传导机制、异质性效应和空间溢出效应。结果表明：（1）DVPP显著提升了EANA，且该结论在经过安慰剂检验、倾向得分匹配—双重差分（PSM-DID）、合成控制法—双重差分（SCM-DID）和工具变量（IV）估计等一系列检验后依然稳健；（2）农业技术创新、数字基础设施建设和数字金融发展发挥中介机制作用；（3）政策效应在数字接入水平较高、交通基础设施较完善和数字金融发展水平较高的县更为显著，呈现出中部>西部>东部的格局，且在特色农产品优势区显著更强；（4）DVPP对邻近县的EANA产生显著的负向空间溢出效应。本研究拓展了关于制度数字化与农业新业态创业之间关系的理论认识，为中国及其他发展中国家优化数字乡村发展、培育农业新业态提供了经验证据。","Frontiers in Sustainable Food Systems","2026-10-20T00:00:00Z",85,{"impact":17,"substance":277,"depth":16,"authority":39,"freshness":91,"relevant":20,"comment":278},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。",[280],{"name":273,"url":270},[282,25,27,283,284],"数字农业","农业政策","农村创业",{"code":38,"slug":102,"name":103,"path":104,"parent_code":105},[],{"status":113,"locked":13,"version":33,"method":34,"evidence":288},{"candidates":289,"agricultural_evidence":40},[290,294,301,306,311],{"code":38,"score":117,"supported":40,"title":291,"abstract":292,"tags":293},[119],[25,119],[25],{"code":295,"score":19,"supported":40,"title":296,"abstract":297,"tags":300},"I2",[],[298,299],"机器学习","machine learning",[],{"code":111,"score":52,"supported":40,"title":302,"abstract":303,"tags":305},[],[304],"rural development",[],{"code":45,"score":307,"supported":13,"title":308,"abstract":309,"tags":310},2,[],[],[284,27],{"code":137,"score":20,"supported":13,"title":312,"abstract":313,"tags":314},[],[],[282],[316,317],"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":319,"openalex_id":321,"authors":322,"venue":273,"cited_by_count":69,"oa_url":270,"card":328,"direction":74,"ingested_from":168},"W7223041086",[323,325],{"name":324,"orcid":8},"Su Li",{"name":326,"orcid":327},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":329,"method":330,"finding":331,"direction":74,"opportunity":332},"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":335,"title":336,"url":337,"summary":338,"summary_zh":8,"content":8,"source_name":339,"source_url":8,"published_at":274,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":340,"score_detail":341,"sources":344,"tags":346,"primary_topic":8,"secondary_topics":350,"classification":351,"search_phrases":364,"slug":367,"view_count":69,"doi":368,"paper":369,"created_at":376},5456,"数字赋能农业产业韧性的影响与机制研究——基于浙江省县域面板数据的实证分析 (Impact and Mechanism of Digital Development on Agricultural Resilience: Evidence from County-Level Data in Zhejiang Province)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.034","基于2014—2022年浙江省县域面板数据，用系统GMM检验数字经济对农业产业韧性的影响。数字经济有效赋能农业产业韧性，农村产业融合、涉农科技创新、农业产业化为重要传导机制。非山区县促进作用明显高于山区县。","中国农机化学报 2026-10-20",79,{"impact":16,"substance":17,"depth":342,"authority":39,"freshness":91,"relevant":20,"comment":343},17,"基于浙江县域面板数据的实证研究，方法规范、结论有新意，对数字乡村与农业韧性议题有参考价值，但属省级实证、影响范围有限。",[345],{"name":339,"url":337},[25,347,27,348,349],"农业经济韧性","农村产业融合","涉农科技",[],{"status":352,"locked":13,"version":33,"method":34,"evidence":353},"unclassified",{"candidates":354,"agricultural_evidence":40,"reason":363},[355,359],{"code":45,"score":307,"supported":13,"title":356,"abstract":357,"tags":358},[],[],[348,27],{"code":38,"score":20,"supported":13,"title":360,"abstract":361,"tags":362},[],[],[25],"缺少足够的主题证据",[365,366],"浙江省 县域面板 农业韧性","数字经济 农业产业韧性","浙江省县域面板农业韧性-5456","10.13733\u002Fj.jcam.issn.2095-5553.2026.10.034",{"doi":368,"openalex_id":8,"authors":370,"venue":8,"cited_by_count":69,"oa_url":8,"card":371,"direction":74,"ingested_from":76},[],{"tldr":372,"method":373,"finding":374,"direction":74,"opportunity":375},"基于浙江县域面板数据，实证检验数字经济对农业产业韧性的赋能作用与机制。","2014—2022年浙江省县域面板数据，系统GMM估计。","数字经济显著提升农业产业韧性，农村产业融合、涉农科技创新、农业产业化是传导机制，非山区县效应更强。","可探究山区县数字赋能效应偏弱的成因与差异化路径，或拓展至跨省县域比较与韧性多维测度。","2026-10-21T00:10:07.870102Z",{"id":378,"title":379,"url":380,"summary":381,"summary_zh":8,"content":8,"source_name":382,"source_url":8,"published_at":383,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":384,"score_detail":385,"sources":387,"tags":389,"primary_topic":393,"secondary_topics":394,"classification":395,"search_phrases":411,"slug":414,"view_count":69,"doi":8,"paper":415,"created_at":422},4781,"中国数字乡村建设与县域老年照护产业的耦合协调关系及区域差异研究","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-10\u002F20261009225937972.htm","本研究利用中国县域数字乡村指数2018年和2020年及匹配的老年照护产业统计数据,采用综合耦合协调度评价模型考察两大系统之间的耦合协调度及其区域差异。研究发现,全国整体耦合协调水平仍偏低,农村经济、日常生活和治理的数字化与老年照护产业耦合度呈中度失衡。结论建议政府应优先关注数字乡村建设的社会效益,加强农村老年照护的技术和服务支持。","生物通 报道 BMC Geriatrics 2026-10-10","2026-10-10T00:00:00Z",77,{"impact":16,"substance":17,"depth":16,"authority":39,"freshness":19,"relevant":20,"comment":386},"基于县域面板数据的实证研究，揭示数字乡村与老年照护产业耦合失衡，对农村数字化社会效益有政策参考价值。",[388],{"name":382,"url":380},[25,27,390,391,392],"耦合协调","区域差异","老年照护",{"code":38,"slug":102,"name":103,"path":104,"parent_code":105},[],{"status":113,"locked":13,"version":33,"method":34,"evidence":396},{"candidates":397,"agricultural_evidence":40},[398,402,406],{"code":38,"score":123,"supported":40,"title":399,"abstract":400,"tags":401},[25],[25],[25],{"code":45,"score":20,"supported":13,"title":403,"abstract":404,"tags":405},[],[],[27],{"code":407,"score":20,"supported":13,"title":408,"abstract":409,"tags":410},"I4",[],[],[390],[412,413],"中国县域数字乡村指数 老年照护产业","区域差异 县域经济 数字乡村 老年照护","中国县域数字乡村指数老年照护产业-4781",{"doi":8,"openalex_id":8,"authors":416,"venue":8,"cited_by_count":69,"oa_url":8,"card":417,"direction":74,"ingested_from":76},[],{"tldr":418,"method":419,"finding":420,"direction":74,"opportunity":421},"研究中国县域数字乡村建设与老年照护产业的耦合协调关系及区域差异。","基于2018和2020年县域数字乡村指数与老年照护产业数据，构建耦合协调度模型。","全国整体耦合协调水平偏低，数字化与老年照护产业呈中度失衡，区域差异明显。","可深入探究数字乡村建设对农村老年照护服务可及性的因果影响及技术赋能路径。","2026-10-13T00:08:38.106787Z",{"id":424,"title":425,"url":426,"summary":427,"summary_zh":8,"content":8,"source_name":428,"source_url":426,"published_at":429,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":430,"sources":432,"tags":434,"primary_topic":8,"secondary_topics":438,"classification":439,"search_phrases":450,"slug":453,"view_count":307,"doi":454,"paper":455,"created_at":468},4522,"Coupling coordination of digital village and county care industry for older adults","https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12877-026-08412-8","Coupling coordination of digital village and county care industry for older adults。BMC Geriatrics","BMC Geriatrics","2026-10-08T00:00:00Z",{"impact":16,"substance":180,"depth":342,"authority":18,"freshness":91,"relevant":20,"comment":431},"发表于核心期刊的实证研究，探讨数字乡村与县域养老产业耦合协调，对农村养老数字化有参考价值，但属细分领域学术进展，未达重大突破层级。",[433],{"name":428,"url":426},[25,27,435,436,437],"养老服务","医养结合","农村老龄化",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":440},{"candidates":441,"agricultural_evidence":13,"reason":62},[442,446],{"code":38,"score":123,"supported":40,"title":443,"abstract":444,"tags":445},[119],[119],[25],{"code":45,"score":20,"supported":13,"title":447,"abstract":448,"tags":449},[],[],[27],[451,452],"数字乡村 县域养老产业 耦合协调","BMC Geriatrics 农村养老","数字乡村县域养老产业耦合协调-4522","10.1186\u002Fs12877-026-08412-8",{"doi":454,"openalex_id":456,"authors":457,"venue":428,"cited_by_count":69,"oa_url":426,"card":8,"direction":74,"ingested_from":168},"W7221036298",[458,461,463,465],{"name":459,"orcid":460},"Huan Liu","https:\u002F\u002Forcid.org\u002F0000-0001-8772-1545",{"name":462,"orcid":8},"Yalin Xia",{"name":464,"orcid":8},"Meng Wang",{"name":466,"orcid":467},"Citao Liu","https:\u002F\u002Forcid.org\u002F0000-0001-9701-5601","2026-10-09T23:30:36.733539Z"]