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智慧美丽乡村","乡村建设信息化5G通达率-4623","2026-10-11T00:09:36.413889Z",{"id":115,"title":116,"url":117,"summary":118,"summary_zh":8,"content":8,"source_name":119,"source_url":8,"published_at":120,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":121,"score_detail":122,"sources":127,"tags":129,"primary_topic":8,"secondary_topics":133,"classification":134,"search_phrases":158,"slug":161,"view_count":14,"doi":8,"paper":162,"created_at":169},4282,"数字乡村建设如何影响县域创业及其福利变化","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165609.html","黄赜琳、牛昱佳(上海财经大学公共管理学院)基于县域数字乡村指数实证检验数字乡村建设对县域创业的影响效应。研究发现：数字乡村建设能够促进县域创业且对第三产业创业带动效应尤为显著；主要通过缓解融资约束、推动企业创新和促进非农就业来驱动；乡村生活数字化、数字基础设施和治理数字化显著促进县域创业；政策效应在城乡要素流动通畅地区、数字鸿沟较浅地区、新型城镇化试点区更强。","农业技术经济 2026年第01期","2026-10-01T00:00:00Z",86,{"impact":123,"substance":74,"depth":75,"authority":124,"freshness":125,"relevant":33,"comment":126},22,14,9,"核心期刊实证研究，基于县域数字乡村指数揭示创业促进机制与福利效应，结论可靠、政策参考价值高。",[128],{"name":119,"url":117},[20,21,130,131,132],"城乡融合","非农就业","县域创业",[],{"status":135,"locked":13,"version":27,"method":28,"evidence":136},"needs_review",{"candidates":137,"agricultural_evidence":13,"reason":157},[138,143,147,152],{"code":38,"score":76,"supported":42,"title":139,"abstract":140,"tags":142},[20],[20,141],"数字鸿沟",[20],{"code":32,"score":33,"supported":13,"title":144,"abstract":145,"tags":146},[],[],[21],{"code":148,"score":33,"supported":13,"title":149,"abstract":150,"tags":151},"G5",[],[],[130],{"code":153,"score":33,"supported":13,"title":154,"abstract":155,"tags":156},"G6",[],[],[131],"农业相关性需要复核",[159,160],"上海财经大学 县域数字乡村指数","数字乡村 县域创业","上海财经大学县域数字乡村指数-4282",{"doi":8,"openalex_id":8,"authors":163,"venue":8,"cited_by_count":14,"oa_url":8,"card":164,"direction":55,"ingested_from":57},[],{"tldr":165,"method":166,"finding":167,"direction":55,"opportunity":168},"基于县域数字乡村指数，实证检验数字乡村建设对县域创业的影响及福利变化。","县域数字乡村指数与实证计量模型，分析创业效应及机制。","数字乡村建设促进县域创业，尤以第三产业显著，通过缓解融资约束、创新和非农就业驱动。","可探究数字乡村创业效应在农业内部及不同产业间的异质性，及长期福利动态。","2026-10-06T00:05:04.608387Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":8,"content":8,"source_name":175,"source_url":8,"published_at":176,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":177,"score_detail":178,"sources":182,"tags":184,"primary_topic":8,"secondary_topics":188,"classification":189,"search_phrases":205,"slug":208,"view_count":33,"doi":8,"paper":209,"created_at":216},2216,"《数字普惠金融与农业新质生产力:来自中国的证据》","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F17\u002F9149","Songqi Liu等(辽宁大学、沈阳农业大学、普渡大学)基于2011-2022年中国30个省份面板数据,考察数字普惠金融(DFI)对农业新质生产力(ANQP)的影响及其传导渠道。结果显示DFI显著正向促进ANQP,DFI每增加一个标准差,ANQP相应增加约样本均值64.35%。绿色技术创新是统计显著的传导渠道,但间接效应仅占总效应的3.31%。DFI与ANQP关系在DFI水平上呈双门槛模式,在区域经济发展水平上呈单门槛模式。","Sustainability 2026年9月7日","2026-09-07T00:00:00Z",80,{"impact":75,"substance":123,"depth":179,"authority":180,"freshness":77,"relevant":33,"comment":181},19,13,"基于30省11年面板数据的实证研究，量化了数字普惠金融对农业新质生产力的促进效应与门槛特征，结论具体、方法规范，对数字乡村金融政策有参考价值。",[183],{"name":175,"url":173},[20,185,186,21,187],"农业经济","农业新质生产力","绿色技术创新",[],{"status":26,"locked":13,"version":27,"method":28,"evidence":190},{"candidates":191,"agricultural_evidence":42,"reason":43},[192,196,200],{"code":32,"score":33,"supported":13,"title":193,"abstract":194,"tags":195},[],[],[21],{"code":38,"score":33,"supported":13,"title":197,"abstract":198,"tags":199},[],[],[20],{"code":201,"score":33,"supported":13,"title":202,"abstract":203,"tags":204},"J2",[],[],[186],[206,207],"农业新质生产力 数字普惠金融 绿色技术创新 农业经济","农业新质生产力 数字普惠金融","农业新质生产力数字普惠金融绿色技术创新农业经济-2216",{"doi":8,"openalex_id":8,"authors":210,"venue":8,"cited_by_count":14,"oa_url":8,"card":211,"direction":55,"ingested_from":57},[],{"tldr":212,"method":213,"finding":214,"direction":55,"opportunity":215},"基于中国30省面板数据，实证检验数字普惠金融对农业新质生产力的促进效应及传导渠道。","2011-2022年30省面板数据，面板回归与门槛模型","数字普惠金融显著促进农业新质生产力，绿色技术创新为传导渠道但间接效应仅占3.31%。","绿色技术创新中介效应极弱，可挖掘其他传导机制及数字普惠金融赋能农业新质生产力的微观路径。","2026-09-12T00:06:40.610993Z",{"id":218,"title":219,"url":220,"summary":221,"summary_zh":222,"content":8,"source_name":223,"source_url":220,"published_at":224,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":177,"score_detail":225,"sources":227,"tags":229,"primary_topic":233,"secondary_topics":239,"classification":240,"search_phrases":265,"slug":268,"view_count":269,"doi":270,"paper":271,"created_at":289},2132,"How can digital financial inclusion promote sustainable rural industrial development? Evidence from China and threshold conditions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1923130","Introduction Advancing sustainable rural industrial development is a core component of rural revitalization. However, the pathways through which digital financial inclusion (DFI) promotes sustainable rural industrial development, and the conditions governing these effects, remain insufficiently understood. Methods Using data from Chinese provinces from 2011 to 2022, this study calculated the degree of sustainable rural industrial development and its spatio-temporal evolution. Mediation analysis and panel threshold models were employed to investigate the transmission mechanisms and critical thresholds through which digital financial inclusion affects sustainable rural industrial development. Results The findings indicate that while sustainable rural industrial development is rising, it remains relatively low, with the primary disparities stemming mainly from regional differences; the “long-tail effect,” “catfish effect,” and “information effect” of digital financial inclusion can effectively promote sustainable rural industrial development, with more pronounced benefits in terms of rural industrial modernization and in main grain-consuming areas; agricultural technology innovation (ATI) plays a mediating role. The mediating effect accounts for 38% of the total effect; and how digital financial inclusion and sustainable rural industrial development are linked is also affected by external effects from the new rural collective economy. When the level of the new rural collective economy exceeds a certain threshold, the promoting effect of digital financial inclusion on sustainable rural industrial development can be fully manifested. Discussion These findings offer theoretical and practical support for China’s implementation of the rural revitalization strategy and highlight the institutional preconditions under which digital financial inclusion can effectively empower sustainable rural industrial development.","引言 推进乡村产业可持续发展是乡村振兴的核心内容。然而，数字普惠金融（DFI）促进乡村产业可持续发展的路径及其作用条件尚缺乏充分认识。方法 本研究利用2011—2022年中国省级数据，测算了乡村产业可持续发展水平及其时空演变特征，并采用中介分析和面板门槛模型，考察数字普惠金融影响乡村产业可持续发展的传导机制与关键门槛。结果 研究发现，乡村产业可持续发展水平虽呈上升趋势，但总体仍相对较低，其主要差异来源于区域差异；数字普惠金融的“长尾效应”“鲶鱼效应”和“信息效应”能够有效促进乡村产业可持续发展，且在乡村产业现代化和粮食主销区方面的促进效应更为明显；农业技术创新（ATI）发挥中介作用，其中介效应占总效应的38%；数字普惠金融与乡村产业可持续发展之间的关系还受到新型农村集体经济外部效应的影响。当新型农村集体经济发展水平超过一定门槛后，数字普惠金融对乡村产业可持续发展的促进作用才能充分显现。讨论 上述发现为中国实施乡村振兴战略提供了理论与实践支持，并揭示了数字普惠金融有效赋能乡村产业可持续发展的制度前提。","Frontiers in Sustainable Food Systems","2026-09-10T00:00:00Z",{"impact":75,"substance":123,"depth":75,"authority":180,"freshness":125,"relevant":33,"comment":226},"基于中国省级面板数据的实证研究，揭示数字普惠金融促进乡村产业可持续发展的中介机制与门槛条件，方法规范、结论有政策参考价值，值得进入每日精选。",[228],{"name":223,"url":220},[20,230,231,21,232],"乡村振兴","农业科技创新","农村集体经济",{"code":234,"slug":235,"name":236,"path":237,"parent_code":238},"G4","rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",[],{"status":92,"locked":13,"version":27,"method":28,"evidence":241},{"candidates":242,"agricultural_evidence":42},[243,248,253,257,261],{"code":238,"score":244,"supported":42,"title":245,"abstract":246,"tags":247},4,[],[230],[230],{"code":234,"score":244,"supported":42,"title":249,"abstract":250,"tags":252},[],[251],"乡村产业",[232],{"code":32,"score":33,"supported":13,"title":254,"abstract":255,"tags":256},[],[],[21],{"code":38,"score":33,"supported":13,"title":258,"abstract":259,"tags":260},[],[],[20],{"code":201,"score":33,"supported":13,"title":262,"abstract":263,"tags":264},[],[],[231],[266,267],"农业科技创新 农村集体经济 数字普惠金融 乡村振兴","农业科技创新 农村集体经济","农业科技创新农村集体经济数字普惠金融乡村振兴-2132",5,"10.3389\u002Ffsufs.2026.1923130",{"doi":270,"openalex_id":272,"authors":273,"venue":223,"cited_by_count":14,"oa_url":220,"card":283,"direction":55,"ingested_from":288},"W7212129033",[274,276,278,280],{"name":275,"orcid":8},"Yingdi Han",{"name":277,"orcid":8},"Dalin Liang",{"name":279,"orcid":8},"Haowen Zhang",{"name":281,"orcid":282},"Jinbo Pang","https:\u002F\u002Forcid.org\u002F0000-0001-6965-4166",{"tldr":284,"method":285,"finding":286,"direction":55,"opportunity":287},"基于中国省级数据，揭示数字普惠金融通过农业技术创新促进农村产业可持续发展，并受新型农村集体经济门槛约","2011-2022年省级面板数据，中介效应与面板门槛模型。","数字普惠金融显著促进农村产业可持续发展，农业技术创新中介效应占38%，新型农村集体经济超过门槛后效应","可探究数字普惠金融与新型农村集体经济的协同机制，及不同作物区、县域尺度的异质性门槛与空间溢出效应。","openalex","2026-09-11T23:30:08.006808Z",{"id":291,"title":292,"url":293,"summary":294,"summary_zh":8,"content":295,"source_name":296,"source_url":8,"published_at":297,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":298,"score_detail":299,"sources":303,"tags":305,"primary_topic":308,"secondary_topics":309,"classification":310,"search_phrases":326,"slug":328,"view_count":180,"doi":8,"paper":8,"created_at":329},198,"以数促质:数字乡村建设赋能农业新质生产力的影响研究","https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009","利用中国2013-2023年省级面板数据,对数字乡村建设与农业新质生产力的关系及其作用机制进行理论分析与实证检验。研究发现:数字乡村建设显著促进农业新质生产力发展;通过推动数字普惠金融发展和促进农业技术进步两个中介渠道发挥作用;在中西部地区数字乡村建设能够推动农业新质生产力发展;在财政支农水平较高地区通过提升数字普惠金融水平、在农业产业链延伸水平较高地区通过促使农业技术进步,机制作用更显著。研究为各地因地制宜制定数字乡村建设政策、提升农业新质生产力提供理论与实证支撑。","检测到您正在使用 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繁\n\n搜索\n\n[首页](https:\u002F\u002Fwww.wanfangdata.com.cn\u002Findex.html?index=true)>[期刊导航](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fperiodical)>[东南大学学报（哲学社会科学版）](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh)>[2026年3期](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh?tabId=article&publishYear=2026&issueNum=3)> 以\"数\"促\"质\":数字乡村建设赋能农业新质生产力的影响研究 \n\n DOI: [10.3969\u002Fj.issn.1671-511X.2026.03.009](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n以\"数\"促\"质\":数字乡村建设赋能农业新质生产力的影响研究\n\n 文摘阅读 60\n\n 下载 1\n\n 导出题录 0\n\n 被引 0\n\n[张建平 1](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[蔡嘉慧 2](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[许润达 3](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n1.[江苏第二师范学院 商学院,江苏 南京 211200](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)2.[吉林大学 东北亚学院,吉林 长春 130012](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)3.[南京大学 商学院,江苏 南京 210023](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[在线阅读](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[下载](https:\u002F\u002Foss.wanfangdata.com.cn\u002Ffile\u002Fdownload\u002Fperio_dndxxb-zxsh202603009.aspx)[评审材料](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n引用\n\n收藏\n\n分享\n\n打印\n\n摘要：利用中国2013-2023 年省级面板数据,对数字乡村建设与农业新质生产力的关系及其作用机制进行理论分析与实证检验,研究发现:(1)数字乡村建设显著促进农业新质生产力发展.(2)数字乡村建设通过推动数字普惠金融发展和促进农业技术进步来发展农业新质生产力.(3)在中西部地区,数字乡村建设能够推动农业新质生产力发展;在财政支农水平较高的地区,数字乡村建设通过提升数字普惠金融水平推动农业新质生产力发展;在农业产业链延伸水平较高的地区,数字乡村建设通过促使农业技术进步推动农业新质生产力发展.研究结论为各地因地制宜制定数字乡村建设政策、提升农业新质生产力提供了有力的理论逻...\n\n关键词：\n\n[数字乡村建设](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[农业新质生产力](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[数字普惠金融](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)[农业技术进步](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n机标分类号：\n\nF306(农业经济理论)F832.35(金融、银行)TH161(机械制造工艺)\n\n资助基金：\n\n[中国博士后科学基金](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fperiodical?q=%E5%9F%BA%E9%87%91%3A%E4%B8%AD%E5%9B%BD%E5%8D%9A%E5%A3%AB%E5%90%8E%E7%A7%91%E5%AD%A6%E5%9F%BA%E9%87%91) ( 2025M771829 ) 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9](https:\u002F\u002Fc.wanfangdata.com.cn\u002F\u002Fimages\u002FPeriodicalImages\u002Fdndxxb-zxsh\u002Fdndxxb-zxsh.jpg)\n\n[](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fdndxxb-zxsh202603009)\n\n[东南大学学报（哲学社会科学版）](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh)\n\n CSTPCD  北大核心  CSSCI  AMI \n\nISSN：1671-511X \n\n年,卷(期)：[2026,28(3)](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh?tabId=article&publishYear=2026&issueNum=3)\n\n所属栏目：[经济决策与企业管理](https:\u002F\u002Fc.wanfangdata.com.cn\u002Fmagazine\u002Fdndxxb-zxsh\u002F?tabId=column&yearType=all&ztext=%E7%BB%8F%E6%B5%8E%E5%86%B3%E7%AD%96%E4%B8%8E%E4%BC%81%E4%B8%9A%E7%AE%A1%E7%90%86 \"经济决策与企业管理\")\n\n相关文献  换一换\n\n1.[农业数字化赋能农业新质生产力的效应研究](https:\u002F\u002Fd.wanfangdata.com.cn\u002Fperiodical\u002Fhnkx202601020 \"农业数字化赋能农业新质生产力的效应研究\")[夏静怡](https:\u002F\u002Fs.wanfangdata.com.cn\u002Fpaper?q=%E4%BD%9C%E8%80%85:%22%E5%A4%8F%E9%9D%99%E6%80%A1%22 \"夏静怡\") 等; 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2026-07-06上网","2026-07-06T00:00:00Z",71,{"impact":75,"substance":300,"depth":75,"authority":180,"freshness":301,"relevant":33,"comment":302},20,2,"核心期刊论文，基于省级面板数据实证分析数字乡村建设对农业新质生产力的影响，数据详实、结论可靠，但发表时间较早，时效性低。",[304],{"name":296,"url":293},[20,186,306,307,21],"中介效应","省级面板",{"code":38,"slug":86,"name":87,"path":88,"parent_code":89},[],{"status":92,"locked":13,"version":27,"method":28,"evidence":311},{"candidates":312,"agricultural_evidence":42},[313,317,322],{"code":38,"score":96,"supported":42,"title":314,"abstract":315,"tags":316},[20],[20],[20],{"code":32,"score":244,"supported":42,"title":318,"abstract":319,"tags":321},[],[320],"财政支农",[21],{"code":201,"score":33,"supported":13,"title":323,"abstract":324,"tags":325},[],[],[186],[327,207],"农业新质生产力 数字普惠金融 中介效应 数字乡村","农业新质生产力数字普惠金融中介效应数字乡村-198","2026-08-04T01:15:47.409908Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":335,"content":8,"source_name":336,"source_url":333,"published_at":337,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":177,"score_detail":338,"sources":340,"tags":342,"primary_topic":347,"secondary_topics":348,"classification":349,"search_phrases":373,"slug":376,"view_count":14,"doi":377,"paper":378,"created_at":394},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",{"impact":75,"substance":123,"depth":75,"authority":180,"freshness":125,"relevant":33,"comment":339},"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。",[341],{"name":336,"url":333},[20,343,344,345,346],"数字素养","共同富裕","农民收入","收入不平等",{"code":38,"slug":86,"name":87,"path":88,"parent_code":89},[],{"status":92,"locked":13,"version":27,"method":28,"evidence":350},{"candidates":351,"agricultural_evidence":42},[352,357,363,369],{"code":38,"score":77,"supported":42,"title":353,"abstract":354,"tags":356},[],[20,355],"digital village",[20,343],{"code":153,"score":60,"supported":42,"title":358,"abstract":359,"tags":362},[],[360,361],"农户收入","rural income",[],{"code":238,"score":364,"supported":42,"title":365,"abstract":366,"tags":368},3,[],[367],"rural development",[],{"code":234,"score":33,"supported":13,"title":370,"abstract":371,"tags":372},[],[],[344],[374,375],"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":377,"openalex_id":379,"authors":380,"venue":336,"cited_by_count":14,"oa_url":333,"card":389,"direction":55,"ingested_from":288},"W7223105459",[381,384,387],{"name":382,"orcid":383},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":385,"orcid":386},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":388,"orcid":8},"Fangping Cao",{"tldr":390,"method":391,"finding":392,"direction":55,"opportunity":393},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","2026-10-22T11:20:47.675827Z"]