[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4964":3,"related-4964":66},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":8,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":13,"score_detail":14,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":51,"slug":54,"view_count":55,"doi":8,"paper":56,"created_at":65},4964,"数字技术重构乡村旅游产业链的逻辑与路径","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fshkxj\u002F503.html","李鹏(平顶山学院旅游与规划学院;中南财经政法大学工商管理学院)发表的研究基于'技术赋能—资源整合—价值共享'逻辑主线,系统阐释数字技术通过数据要素驱动、生态化网络协同、可行能力提升与四链协同机制,推动乡村旅游产业链从效率优先向公平与效率并重转型。大数据平台的动态供需匹配、区块链技术的可信追溯体系、AIoT设备的自动化运营,有效破解信息孤岛与资源错配难题。可行能力理论的引入,为技术赋能与共同富裕的传导机制提供理论支撑。",null,"《社会科学家》投稿参考范文 2026 年 5 月","论文",10,false,66,{"impact":15,"substance":16,"depth":17,"authority":18,"freshness":19,"relevant":20,"comment":21},16,18,17,13,2,1,"理论性论文，从技术赋能视角阐释乡村旅游产业链数字化转型，对数字乡村研究有参考价值，但时效性偏弱。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","共同富裕","区块链","乡村旅游","AIoT",[],{"status":32,"locked":12,"version":33,"method":34,"evidence":35},"needs_review","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":12,"reason":50},[37,43],{"code":38,"score":18,"supported":39,"title":40,"abstract":41,"tags":42},"G4",true,[28],[28],[28,26],{"code":44,"score":45,"supported":39,"title":46,"abstract":47,"tags":49},"I6",4,[],[48],"数据要素",[25],"农业相关性需要复核",[52,53],"平顶山学院 数字技术 乡村旅游","乡村旅游 共同富裕 数字乡村 区块链","平顶山学院数字技术乡村旅游-4964",0,{"doi":8,"openalex_id":8,"authors":57,"venue":8,"cited_by_count":55,"oa_url":8,"card":58,"direction":62,"ingested_from":64},[],{"tldr":59,"method":60,"finding":61,"direction":62,"opportunity":63},"阐释数字技术通过四链协同机制重构乡村旅游产业链、推动公平与效率并重的逻辑与路径。","基于'技术赋能—资源整合—价值共享'框架，结合大数据、区块链、AIoT与可行能力","数字技术破解信息孤岛与资源错配，推动乡村旅游产业链从效率优先转向公平与效率并重。","数字乡村与农业信息化","可实证检验大数据供需匹配、区块链追溯对农户增收与共同富裕的传导效应及区域异质性。","agent","2026-10-15T00:06:08.407354Z",{"total":67,"page":20,"page_size":67,"items":68},6,[69,145,204,294,370,415],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":74,"content":8,"source_name":75,"source_url":72,"published_at":76,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":77,"score_detail":78,"sources":82,"tags":84,"primary_topic":88,"secondary_topics":93,"classification":94,"search_phrases":122,"slug":125,"view_count":55,"doi":126,"paper":127,"created_at":144},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",80,{"impact":16,"substance":79,"depth":16,"authority":18,"freshness":80,"relevant":20,"comment":81},22,9,"基于CFPS三期面板数据的微观实证，方法规范、结论有新意，对数字乡村与共同富裕政策有参考价值，值得进入每日精选。",[83],{"name":75,"url":72},[25,85,26,86,87],"数字素养","农民收入","收入不平等",{"code":44,"slug":89,"name":90,"path":91,"parent_code":92},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":95,"locked":12,"version":33,"method":34,"evidence":96},"classified",{"candidates":97,"agricultural_evidence":39},[98,104,111,118],{"code":44,"score":99,"supported":39,"title":100,"abstract":101,"tags":103},8,[],[25,102],"digital village",[25,85],{"code":105,"score":67,"supported":39,"title":106,"abstract":107,"tags":110},"G6",[],[108,109],"农户收入","rural income",[],{"code":112,"score":113,"supported":39,"title":114,"abstract":115,"tags":117},"G",3,[],[116],"rural development",[],{"code":38,"score":20,"supported":12,"title":119,"abstract":120,"tags":121},[],[],[26],[123,124],"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":126,"openalex_id":128,"authors":129,"venue":75,"cited_by_count":55,"oa_url":72,"card":138,"direction":62,"ingested_from":143},"W7223105459",[130,133,136],{"name":131,"orcid":132},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":134,"orcid":135},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":137,"orcid":8},"Fangping Cao",{"tldr":139,"method":140,"finding":141,"direction":62,"opportunity":142},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","openalex","2026-10-22T11:20:47.675827Z",{"id":146,"title":147,"url":148,"summary":149,"summary_zh":8,"content":8,"source_name":150,"source_url":8,"published_at":151,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":152,"score_detail":153,"sources":156,"tags":158,"primary_topic":162,"secondary_topics":166,"classification":167,"search_phrases":192,"slug":195,"view_count":113,"doi":8,"paper":196,"created_at":203},4782,"农户参与电子商务能否促进共同富裕——来自中国10省农户调查数据的经验证据","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-10\u002F20261008084343175.htm","基于2020年中国乡村振兴综合调查CRRS数据,使用10省2508个农户样本实证检验农户参与电子商务对共同富裕的影响。基准回归及PSM、Tobit、IV等稳健性检验均显示显著促进效应。中部地区估计效应最大,对低收入家庭和低教育家庭估计效应更大,机制主要通过提升农村信贷可得性、增强信息获取能力两条路径实现。","生物通 报道 MDPI Agriculture 2026-10-08","2026-10-08T00:00:00Z",82,{"impact":79,"substance":154,"depth":16,"authority":18,"freshness":67,"relevant":20,"comment":155},23,"基于10省2508户调查数据的实证研究，方法规范、结论可靠，对数字乡村与农村电商政策有参考价值。",[157],{"name":150,"url":148},[159,25,160,26,161],"农村电商","乡村振兴","农户增收",{"code":112,"slug":163,"name":164,"path":165,"parent_code":8},"rural-services","农业服务与乡村发展","\u002Ftopic\u002Frural-services",[],{"status":168,"locked":12,"version":33,"method":34,"evidence":169},"partial",{"candidates":170,"agricultural_evidence":39},[171,175,180,184,188],{"code":112,"score":45,"supported":39,"title":172,"abstract":173,"tags":174},[],[160],[160],{"code":176,"score":20,"supported":12,"title":177,"abstract":178,"tags":179},"E5",[],[],[159],{"code":38,"score":20,"supported":12,"title":181,"abstract":182,"tags":183},[],[],[26],{"code":105,"score":20,"supported":12,"title":185,"abstract":186,"tags":187},[],[],[161],{"code":44,"score":20,"supported":12,"title":189,"abstract":190,"tags":191},[],[],[25],[193,194],"CRRS 农户调查 电子商务","农村电商 共同富裕 农户","CRRS农户调查电子商务-4782",{"doi":8,"openalex_id":8,"authors":197,"venue":8,"cited_by_count":55,"oa_url":8,"card":198,"direction":62,"ingested_from":64},[],{"tldr":199,"method":200,"finding":201,"direction":62,"opportunity":202},"基于10省2508户调查数据，实证检验农户参与电商对共同富裕的促进效应。","使用2020年CRRS数据，采用PSM、Tobit、IV等回归方法。","电商显著促进共同富裕，中部效应最大，对低收入和低教育家庭更明显。","可探究电商促进共同富裕的长期动态效应及数字鸿沟的调节作用。","2026-10-13T00:08:38.266069Z",{"id":205,"title":206,"url":207,"summary":208,"summary_zh":209,"content":8,"source_name":210,"source_url":207,"published_at":211,"category":10,"cover_url":8,"hotness":212,"is_selected":12,"score":77,"score_detail":213,"sources":215,"tags":220,"primary_topic":224,"secondary_topics":229,"classification":236,"search_phrases":269,"slug":272,"view_count":55,"doi":273,"paper":274,"created_at":293},4416,"Agricultural blockchain readiness environment and carbon emission intensity in maize production: evidence from provincial panel data in major maize-producing areas of China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1942225","China’s major maize-producing regions face the joint challenge of sustaining food production and reducing agricultural emissions. Existing research on digital agriculture often uses broad digitalization measures and therefore does not distinguish the regional conditions that may enable information management, traceability, and verification applications associated with blockchain. This study constructs an Agricultural Blockchain Readiness Environment Index (ABRE Index, block_index) using entropy weighting across digital infrastructure, the agricultural industrial base, and policy support. The index measures regional readiness and enabling conditions rather than realized blockchain adoption. Using 180 province-year observations for 12 major maize-producing provinces from 2010 to 2024, we estimate two-way fixed-effects models with province-clustered inference and conduct supplementary robustness analyses. The ABRE Index is negatively associated with carbon emissions per unit of maize-sown area, with the baseline coefficient statistically significant at the 10% level under conventional clustered inference and supported by supplementary inference procedures. The coefficient remains negative in all 12 leave-one-out specifications, is statistically significant at the 10% level or better in 10 specifications, and the wild cluster bootstrap test yields p = 0.0415. The index is positively correlated with blockchain-related patent activity ( r = 0.1883, p = 0.0114), although this correlation does not establish that the index measures realized adoption. The mechanism analysis is consistent with an organizational pathway through agricultural socialized services: the ABRE Index is positively associated with service_ratio (0.1099, p \u003C 0.01), and agricultural socialized services are negatively associated with ce_area (−2.2765, p \u003C 0.05). The interaction with the high-development indicator is negative but does not reach the conventional 10% significance threshold (−0.1499, p = 0.103). Overall, the evidence supports an associational relationship between blockchain-readiness conditions and maize-production carbon-emission intensity; it does not establish a strictly causal effect of blockchain adoption.","中国主要玉米产区面临保障粮食生产与减少农业排放的双重挑战。现有数字农业研究多采用宽泛的数字化指标，因而未能区分可能支撑与区块链相关的信息管理、追溯和验证应用的区域条件。本研究基于数字基础设施、农业产业基础和政策支持三个维度，采用熵权法构建了农业区块链就绪环境指数（ABRE Index，block_index）。该指数衡量的是区域就绪程度和使能条件，而非已实现的区块链采用。利用2010年至2024年12个主要玉米生产省份的180个省份—年份观测值，我们估计了双向固定效应模型，采用省份聚类推断，并进行了补充稳健性分析。ABRE指数与单位玉米播种面积碳排放呈负相关，基准系数在常规聚类推断下于10%水平上统计显著，并得到补充推断程序的支持。在全部12个逐一剔除（leave-one-out）设定中，该系数均保持为负，其中10个设定在10%或更优水平上统计显著，野生聚类自举检验（wild cluster bootstrap test）得出p = 0.0415。该指数与区块链相关专利活动呈正相关（r = 0.1883，p = 0.0114），尽管这一相关性并不能证明该指数衡量的是已实现的采用。机制分析与通过农业社会化服务发挥作用的组织路径相一致：ABRE指数与service_ratio呈正相关（0.1099，p \u003C 0.01），农业社会化服务与ce_area呈负相关（−2.2765，p \u003C 0.05）。与高发展指标的交互项为负，但未达到常规10%显著性阈值（−0.1499，p = 0.103）。总体而言，证据支持区块链就绪条件与玉米生产碳排放强度之间存在关联关系；但并未确立区块链采用的严格因果效应。","Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z",25,{"impact":16,"substance":79,"depth":16,"authority":18,"freshness":80,"relevant":20,"comment":214},"基于12个玉米主产省2010—2024年面板数据构建农业区块链就绪环境指数，发现其与玉米碳排放强度负相关，方法规范、数据规模可观，但结论仅为关联性而非因果，属细分领域实证进展。",[216,217],{"name":210,"url":207},{"name":218,"url":219},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Land, Livelihoods and Food Security","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1942225\u002Ffull",[25,221,222,223,27],"智慧农业","玉米","农业碳排放",{"code":225,"slug":226,"name":222,"path":227,"parent_code":228},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[230],{"code":231,"slug":232,"name":233,"path":234,"parent_code":235},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"status":95,"locked":12,"version":33,"method":34,"evidence":237},{"candidates":238,"agricultural_evidence":39},[239,244,251,259,265],{"code":225,"score":240,"supported":39,"title":241,"abstract":242,"tags":243},15,[226],[222,226],[222],{"code":231,"score":245,"supported":39,"title":246,"abstract":248,"tags":250},12,[247],"carbon emission",[249],"碳排放",[223],{"code":252,"score":253,"supported":39,"title":254,"abstract":255,"tags":258},"I1",7,[],[256,257],"数字农业","digital agriculture",[221],{"code":260,"score":113,"supported":39,"title":261,"abstract":262,"tags":264},"G2",[],[263],"社会化服务",[],{"code":44,"score":20,"supported":12,"title":266,"abstract":267,"tags":268},[],[],[25],[270,271],"农业区块链 玉米 碳排放","玉米主产区 区块链 碳强度","农业区块链玉米碳排放-4416","10.3389\u002Ffsufs.2026.1942225",{"doi":273,"openalex_id":275,"authors":276,"venue":210,"cited_by_count":55,"oa_url":285,"card":286,"direction":292,"ingested_from":143},"W7220869193",[277,280,282],{"name":278,"orcid":279},"Pengfei Zhou","https:\u002F\u002Forcid.org\u002F0000-0003-2117-7967",{"name":281,"orcid":8},"Zhiyi Hu",{"name":283,"orcid":284},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1942225\u002Fpdf",{"tldr":287,"method":288,"finding":289,"direction":290,"opportunity":291},"构建农业区块链就绪环境指数，分析其与玉米生产碳排放强度的关联。","熵权法构建ABRE指数，用2010-2024年12省面板数据做双向固定效应模型。","ABRE指数与玉米单位播种面积碳排放负相关，机制可能通过农业社会化服务实现。","农业绿色发展与碳","可探究区块链就绪环境通过社会化服务减碳的因果机制，并拓展到其他主粮作物或区域。","智慧农业 \u002F 农业物联网","2026-10-08T23:30:07.668939Z",{"id":295,"title":296,"url":297,"summary":298,"summary_zh":299,"content":8,"source_name":300,"source_url":297,"published_at":301,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":302,"score_detail":303,"sources":306,"tags":308,"primary_topic":8,"secondary_topics":312,"classification":313,"search_phrases":340,"slug":343,"view_count":19,"doi":344,"paper":345,"created_at":369},4098,"Monitoring Sustainable Rural Tourism Development in Post-Conflict Areas Using Remote Sensing and Geospatial Analysis","https:\u002F\u002Fdoi.org\u002F10.26493\u002F1854-6935.24.433-464","This study examines how rural tourism supports sustainable development, economic recovery, social stability, and cultural preservation in post-conflict regions, using Transcarpathia, Ukraine, as a case study for 2022–2024. It applies a mixed-methods approach combining satellite remote sensing, GIS-based spatial analysis, and socio-economic indicators to assess land-use change, infrastructure recovery, ecological stability, and socio-economic resilience. Unlike existing geospatial monitoring studies that focus on single dimensions (e.g. land cover or tourist flows) in stable environments. This research introduces a theoretically grounded, multi-dimensional framework that integrates environmental, infrastructural, socio-economic, and digital indicators into a unified composite sustainability index, enabling continuous monitoring where conventional field data collection is constrained. The findings indicate notable recovery and resilience: tourism-related infrastructure rebounded strongly, ecological indicators improved over time, and digital accessibility expanded substantially, supporting tourism development despite ongoing post-conflict challenges. The study offers a novel integrated geospatial framework for monitoring sustainable rural tourism transitions in data-constrained and crisis-affected territories.","本研究以乌克兰外喀尔巴阡（Transcarpathia）为案例，考察2022—2024年期间乡村旅游如何促进冲突后地区的可持续发展、经济复苏、社会稳定与文化保护。研究采用混合方法，结合卫星遥感、基于GIS的空间分析和社会经济指标，评估土地利用变化、基础设施恢复、生态稳定性及社会经济韧性。与现有聚焦于稳定环境中单一维度（如土地覆盖或游客流量）的地理空间监测研究不同，本研究提出了一个具有理论根基的多维框架，将环境、基础设施、社会经济和数字指标整合为统一的复合可持续性指数，从而在传统实地数据采集受限的情况下实现持续监测。研究结果表明了显著的恢复与韧性：旅游相关基础设施强劲反弹，生态指标随时间改善，数字可及性大幅扩展，在持续面临冲突后挑战的情况下支撑了旅游发展。本研究为在数据受限和受危机影响的地区监测可持续乡村旅游转型提供了一个新颖的综合地理空间框架。","Managing Global Transitions","2026-09-30T00:00:00Z",72,{"impact":245,"substance":304,"depth":16,"authority":18,"freshness":99,"relevant":20,"comment":305},21,"该研究提出融合遥感、GIS与社会经济指标的多维可持续性指数框架，方法新颖且对数据受限地区有参考价值，但案例局限于乌克兰局部区域，对国内三农信息化实践的直接影响力有限。",[307],{"name":300,"url":297},[25,309,28,310,311],"可持续发展","遥感监测","GIS",[],{"status":32,"locked":12,"version":33,"method":34,"evidence":314},{"candidates":315,"agricultural_evidence":39,"reason":339},[316,321,328,335],{"code":38,"score":240,"supported":39,"title":317,"abstract":319,"tags":320},[318],"rural tourism",[28,318],[28],{"code":322,"score":240,"supported":39,"title":323,"abstract":325,"tags":327},"I3",[324],"remote sensing",[326,324],"遥感",[310],{"code":329,"score":11,"supported":39,"title":330,"abstract":331,"tags":334},"I4",[],[332,311,333],"空间分析","spatial analysis",[311],{"code":44,"score":20,"supported":12,"title":336,"abstract":337,"tags":338},[],[],[25],"多个产业证据相当，需要确认主归属",[341,342],"遥感 GIS 可持续乡村旅游","可持续发展 乡村旅游 数字乡村 遥感监测","遥感GIS可持续乡村旅游-4098","10.26493\u002F1854-6935.24.433-464",{"doi":344,"openalex_id":346,"authors":347,"venue":300,"cited_by_count":55,"oa_url":362,"card":363,"direction":367,"ingested_from":143},"W7214899546",[348,350,352,354,357,359],{"name":349,"orcid":8},"Valeriia Shcherbak",{"name":351,"orcid":8},"Oleksandr Dorokhov",{"name":353,"orcid":8},"Viktoriia Riashchenko",{"name":355,"orcid":356},"Valentina Djakona","https:\u002F\u002Forcid.org\u002F0000-0002-9199-3559",{"name":358,"orcid":8},"Oleksii Yermolenko",{"name":360,"orcid":361},"Maja Meško","https:\u002F\u002Forcid.org\u002F0000-0001-5615-9801","https:\u002F\u002Fojs.upr.si\u002Ffm\u002Farticle\u002Fview\u002F270\u002F115",{"tldr":364,"method":365,"finding":366,"direction":367,"opportunity":368},"用遥感与GIS构建多维可持续指数，监测乌克兰战后乡村旅游业恢复。","卫星遥感、GIS空间分析与社经指标，构建复合可持续指数。","旅游基础设施强劲反弹，生态改善，数字可及性扩大，支撑战后恢复。","农业遥感与作物表型","可将该多维遥感框架迁移至数据受限的乡村农业旅游与生计恢复监测研究。","2026-10-03T23:30:37.512385Z",{"id":371,"title":372,"url":373,"summary":374,"summary_zh":8,"content":8,"source_name":375,"source_url":8,"published_at":376,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":377,"score_detail":378,"sources":380,"tags":382,"primary_topic":386,"secondary_topics":387,"classification":388,"search_phrases":403,"slug":406,"view_count":253,"doi":8,"paper":407,"created_at":414},3654,"数字乡村建设、农旅融合与农民农村共同富裕","http:\u002F\u002Fxn--vhqr8o5pj9uhezh2nrx2biude8o.com\u002Fqikan_detail.asp?id=13109","巴责达发表于《商业经济研究》2026年第9期。本文基于2012—2023年我国30个省份面板数据，探析数字乡村建设、农旅融合与农民农村共同富裕之间的关系。研究发现：数字乡村建设可显著影响农民农村共同富裕，这一结论在相关稳健性检验中得到验证。中介效应检验显示，数字乡村建设可通过促进农旅融合，间接赋能农民农村共同富裕。异质性分析表明，数字乡村建设对东部地区农民农村共同富裕的驱动作用更强。空间效应检验显示，数字乡村建设对本地区、邻近地区农民农村共同富裕呈现正向空间溢出效应。","商业经济研究 2026年第9期 (巴责达)","2026-09-15T00:00:00Z",74,{"impact":16,"substance":304,"depth":16,"authority":18,"freshness":45,"relevant":20,"comment":379},"基于30省面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且已发表近两周，时效性一般。",[381],{"name":375,"url":373},[25,383,26,384,385],"空间溢出","农旅融合","省域面板数据",{"code":44,"slug":89,"name":90,"path":91,"parent_code":92},[],{"status":95,"locked":12,"version":33,"method":34,"evidence":389},{"candidates":390,"agricultural_evidence":39},[391,395,399],{"code":44,"score":245,"supported":39,"title":392,"abstract":393,"tags":394},[25],[25],[25],{"code":38,"score":20,"supported":12,"title":396,"abstract":397,"tags":398},[],[],[26],{"code":329,"score":20,"supported":12,"title":400,"abstract":401,"tags":402},[],[],[383],[404,405],"数字乡村 农旅融合 共同富裕","巴责达 商业经济研究","数字乡村农旅融合共同富裕-3654",{"doi":8,"openalex_id":8,"authors":408,"venue":8,"cited_by_count":55,"oa_url":8,"card":409,"direction":62,"ingested_from":64},[],{"tldr":410,"method":411,"finding":412,"direction":62,"opportunity":413},"基于2012—2023年30省面板数据，检验数字乡村建设通过农旅融合促进农民农村共同富裕的效应。","30省面板数据，中介效应、异质性分析与空间溢出检验。","数字乡村建设显著促进共同富裕，农旅融合起中介作用，东部更强且有正向空间溢出。","可深入探究农旅融合的中介机制与空间溢出的衰减边界，并关注中西部数字乡村的差异化路径。","2026-09-28T00:03:02.637755Z",{"id":416,"title":417,"url":418,"summary":419,"summary_zh":8,"content":8,"source_name":420,"source_url":8,"published_at":421,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":422,"score_detail":423,"sources":425,"tags":427,"primary_topic":8,"secondary_topics":431,"classification":432,"search_phrases":449,"slug":452,"view_count":19,"doi":8,"paper":453,"created_at":460},2405,"信息基础设施建设与农民共同富裕：来自中国地级市面板数据的证据","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260909171624823.htm","Sage Open。基于2010-2024年中国252个地级市面板数据，实证分析信息基础设施建设如何影响农民共同富裕。研究显示信息基础设施建设显著有助于提升农民共同富裕水平；异质性分析表明在市场化程度较高的地区正向效应更为明显，地形复杂地区效应显著减弱。机制分析揭示农村创业活力和产业结构升级是重要传导通道。门槛效应分析证实双重门槛特征。","Sage Open | 2026-09-09","2026-09-09T00:00:00Z",76,{"impact":16,"substance":79,"depth":17,"authority":18,"freshness":67,"relevant":20,"comment":424},"基于252个地级市十年面板数据的实证研究，机制与门槛分析扎实，对数字乡村政策有参考价值，但属学术论文且时效性一般。",[426],{"name":420,"url":418},[25,428,26,429,430],"农民增收","信息基础设施","农村创业",[],{"status":433,"locked":12,"version":33,"method":34,"evidence":434},"unclassified",{"candidates":435,"agricultural_evidence":39,"reason":448},[436,440,444],{"code":38,"score":19,"supported":12,"title":437,"abstract":438,"tags":439},[],[],[26,430],{"code":105,"score":20,"supported":12,"title":441,"abstract":442,"tags":443},[],[],[428],{"code":44,"score":20,"supported":12,"title":445,"abstract":446,"tags":447},[],[],[25],"缺少足够的主题证据",[450,451],"信息基础设施 共同富裕 农村创业 农民增收","信息基础设施 共同富裕","信息基础设施共同富裕农村创业农民增收-2405",{"doi":8,"openalex_id":8,"authors":454,"venue":8,"cited_by_count":55,"oa_url":8,"card":455,"direction":62,"ingested_from":64},[],{"tldr":456,"method":457,"finding":458,"direction":62,"opportunity":459},"基于252个地级市面板数据，实证检验信息基础设施对农民共同富裕的影响及机制。","2010-2024年地级市面板数据，固定效应、异质性、机制与门槛回归。","信息基础设施显著促进农民共同富裕，市场化高地效应更强，地形复杂区减弱，创业与产业升级为通道。","可探究信息基础设施对农户内部收入差距的非线性影响及数字鸿沟的调节作用。","2026-09-14T00:06:33.691383Z"]