[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4864":3,"related-4864":68},{"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":21,"tags":23,"primary_topic":8,"secondary_topics":28,"classification":29,"search_phrases":53,"slug":56,"view_count":18,"doi":8,"paper":57,"created_at":67},4864,"兴衰的辩证法:数字资本下乡与城郊村的城乡融合发展","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjianghuailuntan\u002Fmulu\u002F678770.html","城乡融合发展是解决城乡发展不平衡问题的重要路径。本文基于浙江省Y市两个城郊村在数字资本下乡驱动下的发展逻辑与发展路径的考察,指出外来资本与当地村民双向互利行为所达成的合作有助于促进村庄资源的合理利用,在推动乡村新型工业化和城镇化的同时,也增加了村民的非农收入。当村庄产业饱和后,双向互利行为一定程度上会转向利益博弈并可能引发冲突,使资本波圈推流至更外围的乡村,从而带动更多远郊村的工业化和城镇化,形成一种从城市不断向外扩展的梯度循环。",null,"《江淮论坛》东南大学人文学院","论文",10,false,73,{"impact":15,"substance":16,"depth":15,"authority":17,"freshness":18,"relevant":19,"comment":20},18,21,14,2,1,"基于浙江城郊村案例的实证研究，提出资本下乡梯度循环新结论，学术价值较高但时效性不足。",[22],{"name":9,"url":6},[24,25,26,27],"数字乡村","城乡融合","资本下乡","城郊村",[],{"status":30,"locked":12,"version":31,"method":32,"evidence":33},"needs_review","2026-10-22.2","rules",{"candidates":34,"agricultural_evidence":12,"reason":52},[35,42,47],{"code":36,"score":37,"supported":38,"title":39,"abstract":40,"tags":41},"G6",11,true,[25],[25],[],{"code":43,"score":19,"supported":12,"title":44,"abstract":45,"tags":46},"G5",[],[],[25],{"code":48,"score":19,"supported":12,"title":49,"abstract":50,"tags":51},"I6",[],[],[24],"农业相关性需要复核",[54,55],"数字资本下乡 城郊村","浙江Y市 城乡融合","数字资本下乡城郊村-4864",{"doi":8,"openalex_id":8,"authors":58,"venue":8,"cited_by_count":59,"oa_url":8,"card":60,"direction":64,"ingested_from":66},[],0,{"tldr":61,"method":62,"finding":63,"direction":64,"opportunity":65},"基于浙江两城郊村案例，揭示数字资本下乡推动城乡融合的兴衰辩证逻辑。","浙江Y市两个城郊村的实地案例考察与过程分析。","资本与村民由互利合作转向利益博弈，资本外推带动远郊梯度城镇化。","数字乡村与农业信息化","可量化研究数字资本下乡的阶段性阈值与冲突预警机制，探索梯度循环的可持续治理路径。","agent","2026-10-14T00:04:12.748173Z",{"total":69,"page":19,"page_size":69,"items":70},6,[71,139,190,278,329,392],{"id":72,"title":73,"url":74,"summary":75,"summary_zh":8,"content":8,"source_name":76,"source_url":8,"published_at":8,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":77,"score_detail":78,"sources":83,"tags":85,"primary_topic":89,"secondary_topics":94,"classification":100,"search_phrases":127,"slug":130,"view_count":19,"doi":8,"paper":131,"created_at":138},4402,"数字乡村建设：通往城乡融合的路径检验 — 来自长三角电子商务进农村综合示范县的证据","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fzrzyxb\u002Fmulu\u002F456395.html","基于长三角 151 个县域城乡数据,通过耦合协调度模型、Dagum 基尼系数法以及多期 DID 等方法探究,电子商务进农村综合示范县政策显著提高县域城乡融合发展水平;未列入淘宝村建设的地区尤其是偏远欠发达地区居民更能从电子商务建设中获利;机制上更依赖信息壁垒破除和创业活力提升路径,在滞后数字生活环境下推进示范县政策更有利于促进城乡融合发展。","无锡学院数字经济与管理学院 浙江工业大学经济学院《自然资源学报》",80,{"impact":79,"substance":80,"depth":81,"authority":17,"freshness":18,"relevant":19,"comment":82},22,23,19,"基于长三角151个县域的多期DID实证研究，方法规范、结论可靠，对数字乡村与城乡融合政策有较强参考价值，但发布日期不明、时效性偏弱。",[84],{"name":76,"url":74},[24,86,87,25,88],"长三角","县域经济","电子商务进农村",{"code":36,"slug":90,"name":91,"path":92,"parent_code":93},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[95],{"code":48,"slug":96,"name":97,"path":98,"parent_code":99},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",{"status":101,"locked":12,"version":31,"method":32,"evidence":102},"classified",{"candidates":103,"agricultural_evidence":38},[104,108,113,118,123],{"code":36,"score":37,"supported":38,"title":105,"abstract":106,"tags":107},[25],[25],[],{"code":48,"score":109,"supported":38,"title":110,"abstract":111,"tags":112},9,[24],[],[24],{"code":114,"score":19,"supported":12,"title":115,"abstract":116,"tags":117},"E5",[],[],[88],{"code":119,"score":19,"supported":12,"title":120,"abstract":121,"tags":122},"G4",[],[],[87],{"code":43,"score":19,"supported":12,"title":124,"abstract":125,"tags":126},[],[],[25],[128,129],"长三角 电子商务进农村 综合示范县","数字乡村 城乡融合 县域","长三角电子商务进农村综合示范县-4402",{"doi":8,"openalex_id":8,"authors":132,"venue":8,"cited_by_count":59,"oa_url":8,"card":133,"direction":64,"ingested_from":66},[],{"tldr":134,"method":135,"finding":136,"direction":64,"opportunity":137},"基于长三角151县数据，检验电商进农村示范县政策对城乡融合的促进作用。","耦合协调度模型、Dagum基尼系数与多期DID，使用长三角县域面板数据。","示范县政策显著提升城乡融合，偏远欠发达地区获益更多，机制为破除信息壁垒与提升创业活力。","可探究数字生活滞后地区政策效果的长期持续性及信息壁垒破除的微观农户机制。","2026-10-08T00:07:46.709393Z",{"id":140,"title":141,"url":142,"summary":143,"summary_zh":8,"content":8,"source_name":144,"source_url":8,"published_at":145,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":146,"score_detail":147,"sources":149,"tags":151,"primary_topic":8,"secondary_topics":155,"classification":156,"search_phrases":178,"slug":181,"view_count":59,"doi":8,"paper":182,"created_at":189},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":79,"substance":80,"depth":15,"authority":17,"freshness":109,"relevant":19,"comment":148},"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。",[150],{"name":144,"url":142},[24,152,25,153,154],"数字普惠金融","非农就业","县域创业",[],{"status":30,"locked":12,"version":31,"method":32,"evidence":157},{"candidates":158,"agricultural_evidence":12,"reason":52},[159,165,170,174],{"code":48,"score":160,"supported":38,"title":161,"abstract":162,"tags":164},15,[24],[24,163],"数字鸿沟",[24],{"code":166,"score":19,"supported":12,"title":167,"abstract":168,"tags":169},"G3",[],[],[152],{"code":43,"score":19,"supported":12,"title":171,"abstract":172,"tags":173},[],[],[25],{"code":36,"score":19,"supported":12,"title":175,"abstract":176,"tags":177},[],[],[153],[179,180],"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":183,"venue":8,"cited_by_count":59,"oa_url":8,"card":184,"direction":64,"ingested_from":66},[],{"tldr":185,"method":186,"finding":187,"direction":64,"opportunity":188},"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":191,"title":192,"url":193,"summary":194,"summary_zh":195,"content":8,"source_name":196,"source_url":193,"published_at":197,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":198,"score_detail":199,"sources":203,"tags":205,"primary_topic":209,"secondary_topics":210,"classification":211,"search_phrases":257,"slug":260,"view_count":18,"doi":261,"paper":262,"created_at":277},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。","Frontiers in Sustainable Food Systems","2026-09-24T00:00:00Z",84,{"impact":79,"substance":80,"depth":15,"authority":200,"freshness":201,"relevant":19,"comment":202},13,8,"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。",[204],{"name":196,"url":193},[206,24,207,25,208],"数字农业","乡村振兴","农村人口流动",{"code":48,"slug":96,"name":97,"path":98,"parent_code":99},[],{"status":101,"locked":12,"version":31,"method":32,"evidence":212},{"candidates":213,"agricultural_evidence":38},[214,219,226,233,238,244,248,252],{"code":48,"score":160,"supported":38,"title":215,"abstract":217,"tags":218},[216],"digital village",[24,216],[24],{"code":220,"score":69,"supported":38,"title":221,"abstract":222,"tags":225},"G2",[],[223,224],"土地流转","land transfer",[],{"code":227,"score":69,"supported":38,"title":228,"abstract":229,"tags":232},"J2",[],[230,231],"农业现代化","agricultural modernization",[],{"code":93,"score":234,"supported":38,"title":235,"abstract":236,"tags":237},4,[],[207],[207],{"code":119,"score":239,"supported":38,"title":240,"abstract":241,"tags":243},3,[],[242],"乡村产业",[],{"code":36,"score":239,"supported":38,"title":245,"abstract":246,"tags":247},[],[25],[],{"code":43,"score":19,"supported":12,"title":249,"abstract":250,"tags":251},[],[],[25],{"code":253,"score":19,"supported":12,"title":254,"abstract":255,"tags":256},"I1",[],[],[206],[258,259],"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":261,"openalex_id":263,"authors":264,"venue":196,"cited_by_count":59,"oa_url":193,"card":271,"direction":64,"ingested_from":276},"W7214148499",[265,267,269],{"name":266,"orcid":8},"Deshan Li",{"name":268,"orcid":8},"Shuangqiang Li",{"name":270,"orcid":8},"Fengming Li",{"tldr":272,"method":273,"finding":274,"direction":64,"opportunity":275},"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。","openalex","2026-09-25T23:30:06.381563Z",{"id":279,"title":280,"url":281,"summary":282,"summary_zh":8,"content":283,"source_name":284,"source_url":8,"published_at":285,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":286,"score_detail":287,"sources":292,"tags":294,"primary_topic":8,"secondary_topics":299,"classification":300,"search_phrases":323,"slug":326,"view_count":69,"doi":327,"paper":8,"created_at":328},544,"电商对城乡融合发展的影响效应与路径分析","https:\u002F\u002Flxbwk.njournal.sdu.edu.cn\u002FCN\u002F10.6040\u002Fj.issn.1671-9352.0.2025.343","本研究构建电商-产业-城乡发展逻辑分析框架,综合评价指标体系测度山东省 16 个地级市 2014—2023 年城乡融合发展水平,并以中介效应模型检验电商发展的影响效应。研究显示,山东省城乡融合发展水平总体上升,但存在多维差异,经济融合与生态融合为主要增长动力;中介效应检验表明,电商发展能够显著促进城乡融合,并通过产业结构升级的部分中介效应实现,中介效应占比 48.7%。","[1] 邱志萍,姚婷婷. 电子商务“双试点”政策对区域经济差距的影响研究[J]. 兰州学刊, 2024(12): 46-63. Qiu Zhiping, Yao Tingting. Research on the impact of the e-commerce \"double pilot\" policy on regional economic disparities[J]. Lanzhou Academic Journal, 2024(12): 46-63.\n\n[2] 田野,夏杰长. 农村电商、 农村居民就业与共同富裕[J]. 中国流通经济, 2024, 38(6): 66-76. Tian Ye, Xia Changjie. Rural e-commerce, rural residents employment, and common prosperity[J]. China Business and Market, 2024, 38(6): 66-76.\n\n[3] 曹友斌,郭峰,熊云军,等. 农村电子商务赋能乡村振兴: 兼论农村内部的数字鸿沟[J]. 经济科学, 2025(5): 185-205. Cao Youbin, Guo Feng, Xiong Yunjun, et al. The enabling role of rural e-commerce in rural revitalization: the digital divide within rural areas[J]. Economic Science, 2025(5): 185-205.\n\n[4] 张志新,蒋欢跃,李成. 数字经济赋能长三角制造业高质量发展: 空间溢出与机制识别[J]. 地域研究与开发, 2024, 43(2): 15-20, 34. Zhang Zhixin, Jiang Huanyue, Li Cheng. Digital economy empowering high-quality development of manufacturing industry in the Yangtze River Delta: spatial spillover and mechanism identification[J]. Areal Research and Development, 2024, 43(2): 15-20, 34.\n\n[5] 姚利好,易法敏,孙煜程. 农村电商、 数字普惠金融协同促进县域经济增长[J]. 财经问题研究, 2022(11): 67-76. Yao Lihao, Yi Famin, Sun Yucheng. Rural e-commerce and digital inclusive finance synergistically promote county economic growth[J]. Research on Financial and Economic Issues, 2022(11): 67-76.\n\n[6] 周江燕,白永秀. 中国城乡发展一体化水平的时序变化与地区差异分析[J]. 中国工业经济, 2014(2): 5-17. Zhou Jiangyan, Bai Yongxiu. Analysis of the temporal changes and regional disparities in the level of urban-rural development integration in China[J]. China Industrial Economics, 2014(2): 5-17.\n\n[7] 周德,戚佳玲,钟文钰. 城乡融合评价研究综述: 内涵辨识、 理论认知与体系重构[J]. 自然资源学报, 2021, 36(10): 2634-2651. Zhou De, Qi Jialing, Zhong Wenyu. Review of urban-rural integration evaluation: connotation identification, theoretical analysis, and system reconstruction[J]. Journal of Natural Resources, 2021, 36(10): 2634-2651.\n\n[8] 刘天军,李卓. 农村增活力: 县域城乡融合促进乡村全面振兴的路径探索[J]. 学习与探索, 2025(2): 13-22. Liu Tianjun, Li Zhuo. Boosting rural vitality: exploring pathways for county-level urban-rural integration to promote comprehensive rural revitalization[J]. Study & Exploration, 2025(2): 13-22.\n\n[9] Cheng Yu, et al. The impact of the urban digital economy on Chinas carbon intensity: spatial spillover and mediating effect[J]. Resources, Conservation and Recycling, 2023, 189: 106762.\n\n[10] 林聚任. 新城乡空间重构与城乡融合发展[J]. 山东大学学报(哲学社会科学版), 2022(1): 72-81. Lin Juren. New urban-rural space reconstruction and urban-rural integration development[J]. Journal of Shandong University(Philosophy and Social Sciences), 2022(1): 72-81.\n\n[11] Yi Jiahui. How does digital economy development affect renewable energy innovation[J]. Renewable and Sustainable Energy Reviews, 2024, 192: 114221.\n\n[12] 周广亮,翟晓格,张迪. 数字经济赋能城乡融合的空间逻辑与实践方略: 基于空间社会学的考量[J]. 郑州大学学报(哲学社会科学版), 2025, 58(2): 22-27. Zhou Guangliang, Zhai Xiaoge, Zhang Di. The spatial logic and practical strategy of digital economy empowering urban-rural integration: based on the consideration of spatial sociology[J]. Journal of Zhengzhou University(Philosophy and Social Sciences), 2025, 58(2): 22-27.\n\n[13] 郭亮亮,林永然. 农村公共服务高质量发展赋能乡村振兴的作用机制研究[J]. 数学的实践与认识, 2025, 55(8): 69-81. Guo Liangliang, Lin Yongran. Research on the mechanism of empowering rural revitalization with high quality development of rural public services[J]. Mathematics in Practice and Theory, 2025, 55(8): 69-81.\n\n[14] 何亚芬,潘依玲,谢花林. 生态产品价值实现与乡村文化振兴双向赋能的机制与路径: 基于“人-文-术-业-制”五维协同视角[J]. 自然资源学报, 2025, 40(11): 2979-2998. He Yafen, Pan Yiling, Xie Hualin. The mechanism and pathway of bidirectional empowerment between value realization of ecological products and rural cultural revitalization: based on the \"human-culture-technology-industry-institution\" five-dimensional synergy perspective[J]. Journal of Natural Resources, 2025, 40(11): 2979-2998.\n\n[15] 金文成,王霞,何安华. 推进城乡融合发展: 经验、 挑战及对策[J]. 农业经济问题, 2025(2): 4-14. Jin Wencheng, Wang Xia, He Anhua. Promoting integrated urban-rural development: experience, challenges, and responses[J]. Issues in Agricultural Economy, 2025(2): 4-14.\n\n[16] 张子珍,邢赵婷. 数字经济下城乡融合系统高质量协调发展核心内涵及动态演化研究[J]. 统计与信息论坛, 2023, 38(3): 84-96. Zhang Zizhen, Xing Zhaoting. Study on the core connotation and dynamic evolution of high-quality coordinated development of urban-rural integration system under digital economy[J]. Statistics & Information Forum, 2023, 38(3): 84-96.\n\n[17] Sun Bing. Impact of digital finance on energy-based carbon intensity: evidence from mediating effects perspective[J]. Journal of Environmental Management, 2023, 327: 116832.\n\n[18] 李利华,曹梦,谭乐怡,等. 区域物流空间网络结构演变与作用机制: 以湖南省为例[J]. 经济地理, 2025, 45(8): 139-151. Li Lihua, Cao Meng, Tan Leyi, et al. Evolution and mechanism of regional logistics spatial network structure: a case study of Hunan Province[J]. Economic Geography, 2025, 45(8): 139-151.\n\n[19] 郭锦墉,刘晓婧,赖萍. 社区电商对农村家庭消费结构的影响[J]. 商业经济研究, 2025(7): 88-92. Guo Jinyong, Liu Xiaojing, Lai Ping. The impact of community e-commerce on rural household consumption structure[J]. Journal of Commercial Economics, 2025(7): 88-92.\n\n[20] 程明,方青. 乡村振兴与新型城镇化战略耦合机理研究: 基于城乡要素流动的视角[J]. 华东经济管理, 2023, 37(5): 1-8. Cheng Ming, Fang Qing. Research on the coupling mechanism of rural revitalization and new urbanization strategy: from the perspective of urban-rural factor flow[J]. East China Economic Management, 2023, 37(5): 1-8.\n\n[21] 何茜,温涛,王小华. 农村金融服务创新与农户包容性增收: 基于政府引导和市场主导的双重视角[J]. 金融监管研究, 2025(8): 40-59. He Qian, Wen Tao, Wang Xiaohua. Innovation of rural financial services and inclusive income increase for farmers: a dual perspective based on government guidance and market leadership[J]. Financial Regulation Research, 2025(8): 40-59.\n\n[22] 郭浪,汪兰林,周茜,等. 乡村振兴背景下农村电子商务四方主体演化博弈分析[J]. 数学的实践与认识, 2023, 53(6): 109-119. Guo Lang, Wang Lanlin, Zhou Qian, et al. Evolutionary game analysis of four main bodies in rural e-commerce amidst the backdrop of rural revitalization[J]. Mathematics in Practice and Theory, 2023, 53(6): 109-119.\n\n[23] 徐永辉,吴柏钧. 产业转移、市场潜能与城乡融合: 基于空间杜宾模型的探讨[J]. 技术经济与管理研究, 2023(10): 106-110. Xu Yonghui, Wu Baijun. Industrial transfer, market potential and urban-rural integration: based on spatial Dubin model[J]. Journal of Technical Economics & Management, 2023(10): 106-110.\n\n[24] 郭亚军. 一种新的动态综合评价方法[J]. 管理科学学报, 2002(2): 49-54. Guo Yajun. A new dynamic comprehensive evaluation method[J]. Journal of Management Sciences in China, 2002(2): 49-54.\n\n[25] 钟雨妮,冯健. 互联网使用对农民户籍市民化的影响: 基于新零工经济的中介效应[J]. 地理研究, 2025, 44(6): 1638-1654. Zhong Yuni, Feng Jian. The impact of internet use on the hukou-based citizenization of rural populations: mediating effect of the new gig economy[J]. Geographical Research, 2025, 44(6): 1638-1654.","山东大学学报(理学版)","2026-08-11T16:00:00Z",68,{"impact":288,"substance":15,"depth":289,"authority":290,"freshness":18,"relevant":19,"comment":291},20,16,12,"论文系统梳理电商对城乡融合的影响，但时效性差，且为文献综述，创新性有限。",[293],{"name":284,"url":281},[295,24,207,296,25,297,298],"农村电商","中介效应","产业结构升级","省域面板",[],{"status":30,"locked":12,"version":31,"method":32,"evidence":301},{"candidates":302,"agricultural_evidence":12,"reason":52},[303,307,311,315,319],{"code":36,"score":37,"supported":38,"title":304,"abstract":305,"tags":306},[25],[25],[],{"code":114,"score":19,"supported":12,"title":308,"abstract":309,"tags":310},[],[],[295],{"code":93,"score":19,"supported":12,"title":312,"abstract":313,"tags":314},[],[],[207],{"code":43,"score":19,"supported":12,"title":316,"abstract":317,"tags":318},[],[],[25],{"code":48,"score":19,"supported":12,"title":320,"abstract":321,"tags":322},[],[],[24],[324,325],"产业结构升级 中介效应 乡村振兴 农村电商","产业结构升级 中介效应","产业结构升级中介效应乡村振兴农村电商-544","10.6040\u002Fj.issn.1671-9352.0.2025.343","2026-08-15T00:02:55.854188Z",{"id":330,"title":331,"url":332,"summary":333,"summary_zh":334,"content":8,"source_name":335,"source_url":332,"published_at":336,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":77,"score_detail":337,"sources":339,"tags":341,"primary_topic":346,"secondary_topics":347,"classification":348,"search_phrases":370,"slug":373,"view_count":59,"doi":374,"paper":375,"created_at":391},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":15,"substance":79,"depth":15,"authority":200,"freshness":109,"relevant":19,"comment":338},"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。",[340],{"name":335,"url":332},[24,342,343,344,345],"数字素养","共同富裕","农民收入","收入不平等",{"code":48,"slug":96,"name":97,"path":98,"parent_code":99},[],{"status":101,"locked":12,"version":31,"method":32,"evidence":349},{"candidates":350,"agricultural_evidence":38},[351,355,361,366],{"code":48,"score":201,"supported":38,"title":352,"abstract":353,"tags":354},[],[24,216],[24,342],{"code":36,"score":69,"supported":38,"title":356,"abstract":357,"tags":360},[],[358,359],"农户收入","rural income",[],{"code":93,"score":239,"supported":38,"title":362,"abstract":363,"tags":365},[],[364],"rural development",[],{"code":119,"score":19,"supported":12,"title":367,"abstract":368,"tags":369},[],[],[343],[371,372],"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":374,"openalex_id":376,"authors":377,"venue":335,"cited_by_count":59,"oa_url":332,"card":386,"direction":64,"ingested_from":276},"W7223105459",[378,381,384],{"name":379,"orcid":380},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":382,"orcid":383},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":385,"orcid":8},"Fangping Cao",{"tldr":387,"method":388,"finding":389,"direction":64,"opportunity":390},"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",{"id":393,"title":394,"url":395,"summary":396,"summary_zh":397,"content":8,"source_name":196,"source_url":395,"published_at":336,"category":10,"cover_url":8,"hotness":11,"is_selected":12,"score":398,"score_detail":399,"sources":402,"tags":404,"primary_topic":8,"secondary_topics":409,"classification":410,"search_phrases":437,"slug":440,"view_count":59,"doi":441,"paper":442,"created_at":452},5545,"Regional digital finance and food supply-chain management resilience: evidence on the regional-to-firm conversion gap in China’s emerging listed food enterprises","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948192","Food supply chains face climate shocks, logistics disruption, food-safety incidents and volatile demand, yet the relevance of regional digital finance for firm-level resilience remains uncertain. This study examines the association between a province-level digital-finance environment and an accounting-based food supply-chain resilience proxy among emerging listed food enterprises in China. Using public data for 122 eligible firms, we construct annual resistance, recovery and stability measures from revenue, operating cash flow and net margin; the common two-way fixed-effects sample contains 732 firm-year observations from 119 firms during 2017–2023. Regional digital finance is measured as a province-level external financial environment rather than firm-level digital transformation or adoption. Operational capability and regional consumption capacity are accounting- and province-level proxies and do not directly observe supplier coordination, traceability, cold-chain performance, or product-level demand. The preferred estimate is close to zero [beta = −0.005, SE = 0.063, 95% CI (−0.128, 0.117)]. Alternative covariance estimators, outcome definitions and timing specifications do not establish a stable positive within-firm association. The proxy-based operational-capability pathway and the conditional consumption-capacity association are likewise not established. Equivalence tests at 0.05 and 0.10 SCR-standard-deviation bounds are not significant, and the approximate 80% minimum detectable effect is 1.575 SCR standard deviations. The evidence therefore cannot distinguish a small contextual association from limited within-firm statistical precision. The findings support a bounded regional-to-firm conversion interpretation: regional finance may widen resource availability, but whether it is associated with resilience depends on unobserved operational conversion routines and food-sector coordination conditions.","食品供应链面临气候冲击、物流中断、食品安全事件和需求波动，但区域数字金融与企业层面韧性之间的关联仍不确定。本研究考察省级数字金融环境与中国新兴上市食品企业基于会计的食品供应链韧性代理指标之间的关联。利用122家合格企业的公开数据，我们从营业收入、经营现金流和净利润率构建年度抵抗能力、恢复能力和稳定性指标；共同双向固定效应样本包含2017—2023年间119家企业的732个企业—年度观测值。区域数字金融被衡量为省级外部金融环境，而非企业层面的数字化转型或采用。运营能力和区域消费能力为会计层面和省级层面的代理变量，并不直接观测供应商协调、可追溯性、冷链绩效或产品层面需求。首选估计值接近于零[beta = −0.005，SE = 0.063，95% CI（−0.128，0.117）]。替代协方差估计量、结果定义和时序设定均未能确立稳定的企业内正向关联。基于代理变量的运营能力路径和条件性消费能力关联同样未能确立。在0.05和0.10个SCR标准差边界上的等价性检验不显著，约80%的最小可检测效应为1.575个SCR标准差。因此，证据无法区分微小的情境性关联与有限的企业内统计精度。研究结果支持有界的情境到企业转化解释：区域金融可能拓宽资源可得性，但其是否与韧性相关联取决于未观测到的运营转化惯例和食品行业协调条件。",69,{"impact":201,"substance":16,"depth":400,"authority":200,"freshness":11,"relevant":19,"comment":401},17,"基于122家上市食品企业的严谨实证研究，发现区域数字金融与企业韧性关联接近于零，对数字乡村金融政策有边界性提示价值，但属细分学术结论，公共影响有限。",[403],{"name":196,"url":395},[24,405,406,407,408],"数字金融","供应链韧性","农业企业","食品供应链",[],{"status":30,"locked":12,"version":31,"method":32,"evidence":411},{"candidates":412,"agricultural_evidence":12,"reason":52},[413,419,425,429,433],{"code":414,"score":239,"supported":38,"title":415,"abstract":416,"tags":418},"E3",[],[417],"冷链",[],{"code":420,"score":239,"supported":38,"title":421,"abstract":422,"tags":424},"E4",[],[423],"食品安全",[],{"code":220,"score":19,"supported":12,"title":426,"abstract":427,"tags":428},[],[],[407],{"code":166,"score":19,"supported":12,"title":430,"abstract":431,"tags":432},[],[],[405],{"code":48,"score":19,"supported":12,"title":434,"abstract":435,"tags":436},[],[],[24],[438,439],"区域数字金融 食品供应链韧性","中国上市食品企业 供应链韧性","区域数字金融食品供应链韧性-5545","10.3389\u002Ffsufs.2026.1948192",{"doi":441,"openalex_id":443,"authors":444,"venue":196,"cited_by_count":59,"oa_url":395,"card":447,"direction":64,"ingested_from":276},"W7223086503",[445],{"name":446,"orcid":8},"Jieyu Zhao",{"tldr":448,"method":449,"finding":450,"direction":64,"opportunity":451},"检验省级数字金融环境与中国新兴上市食品企业供应链韧性之间的关系。","基于122家上市食品企业2017–2023年公开数据，构建双向固定效应模型与等价","区域数字金融与企业供应链韧性无稳定正相关，估计值接近零且不显著。","可研究区域金融资源如何经企业运营惯例转化为供应链韧性，并补充冷链、溯源等微观数据。","2026-10-22T11:20:15.297878Z"]