[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4474":3,"related-4474":75},{"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":30,"secondary_topics":36,"classification":37,"search_phrases":60,"slug":63,"view_count":64,"doi":8,"paper":65,"created_at":74},4474,"数字能力提升农户收入并缩小农村差距：基于中国农村振兴调查的证据","https:\u002F\u002Fagritechinsights.com\u002Findex.php\u002F2026\u002F10\u002F08\u002Fdigital-skills-lift-chinas-farm-incomes-narrow-rural-gaps","江西工程学院经济与管理学院Ting Hua团队在Frontiers in Sustainable Food Systems发表论文，基于中国农村振兴调查（CRRS）数据，分析数字能力如何影响农户家庭收入和收入分配；研究发现更高的数字能力与更高的人均收入和更低的收入差距相关，特别是在非贫困家庭中；提出两条路径：数字网络扩展家庭社会联系可能带来就业机会或伙伴关系；数字平台接入可能缓解信贷约束，使农民投资于更好的工具或实现收入多样化；指出数字红利分配不均，需针对性支持。",null,"Frontiers in Sustainable Food Systems 2026-10-08","2026-10-08T00:00:00Z","论文",10,false,79,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":12,"relevant":20,"comment":21},18,21,17,13,1,"基于全国性CRRS调查数据的实证研究，揭示数字能力增收与缩小差距的双重效应及信贷约束缓解路径，对数字乡村政策有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","数字素养","农村金融","数字鸿沟","农户收入",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":38,"locked":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,49,55],{"code":31,"score":44,"supported":45,"title":46,"abstract":47,"tags":48},9,true,[29],[],[29],{"code":50,"score":51,"supported":13,"title":52,"abstract":53,"tags":54},"I6",3,[],[],[25,26,28],{"code":56,"score":20,"supported":13,"title":57,"abstract":58,"tags":59},"G3",[],[],[27],[61,62],"江西工程学院 数字能力 农户收入","CRRS 数字能力 收入差距","江西工程学院数字能力农户收入-4474",0,{"doi":8,"openalex_id":8,"authors":66,"venue":8,"cited_by_count":64,"oa_url":8,"card":67,"direction":71,"ingested_from":73},[],{"tldr":68,"method":69,"finding":70,"direction":71,"opportunity":72},"基于中国农村振兴调查，研究数字能力对农户收入及收入差距的影响。","使用中国农村振兴调查（CRRS）数据，分析数字能力与农户收入及分配的关系。","数字能力提升人均收入并缩小收入差距，尤其在非贫困家庭中，但数字红利分配不均。","数字乡村与农业信息化","可探究数字能力对贫困家庭的异质性影响及缩小数字鸿沟的干预机制。","agent","2026-10-09T00:05:02.226945Z",{"total":76,"page":20,"page_size":76,"items":77},6,[78,142,184,236,296,346],{"id":79,"title":80,"url":81,"summary":82,"summary_zh":83,"content":8,"source_name":84,"source_url":81,"published_at":85,"category":11,"cover_url":8,"hotness":86,"is_selected":13,"score":87,"score_detail":88,"sources":91,"tags":96,"primary_topic":98,"secondary_topics":99,"classification":100,"search_phrases":122,"slug":125,"view_count":76,"doi":126,"paper":127,"created_at":141},4412,"Digital capability, household income, and intra-rural income inequality: micro-level evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938273","Drawing on data from the China Rural Revitalization Survey (CRRS), this study combines ordinary least squares regression, propensity score matching, and mediation analysis to examine the relationships among digital capability, farm household per capita gross income, and income inequality. Greater digital capability is significantly associated with higher per capita gross income and lower income inequality. Mediation analysis suggests that two potential pathways may underlie these relationships: broader social networks and the alleviation of credit constraints. Heterogeneity analysis shows that the relationships between digital capability and farm household welfare vary across household groups and income sources. Specifically, among nonpoor farm households, digital capability is significantly and positively associated with per capita gross income and significantly and negatively associated with income inequality. Neither relationship is statistically significant among relatively poor farm households. Across income sources, digital capability is positively associated with wage income and nonfarm business income and negatively associated with inequality in the distribution of both income components. No statistically significant associations are found for agricultural operating income, property income, or transfer income. Policy should account for differences in households’ initial resource endowments and provide targeted digital support to disadvantaged groups. Policy efforts should also expand digital applications in agriculture and foster an inclusive environment for nonfarm employment and entrepreneurship.","本研究基于中国乡村振兴调查（CRRS）数据，综合运用普通最小二乘法回归、倾向得分匹配和中介分析，考察数字能力、农户人均总收入与收入不平等之间的关系。数字能力越强，人均总收入显著越高，收入不平等显著越低。中介分析表明，可能存在两条潜在路径：社会网络拓展与信贷约束缓解。异质性分析显示，数字能力与农户福利之间的关系因农户群体和收入来源而异。具体而言，在非贫困农户中，数字能力与人均总收入显著正相关，与收入不平等显著负相关；而在相对贫困农户中，二者均不具有统计显著性。从收入来源看，数字能力与工资性收入和非农经营收入正相关，与这两类收入分布的不平等负相关；对农业经营收入、财产性收入和转移性收入则未发现统计显著关联。政策应充分考虑农户初始资源禀赋差异，为弱势群体提供有针对性的数字支持，同时应拓展数字技术在农业中的应用，并营造包容性的非农就业与创业环境。","Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z",25,80,{"impact":16,"substance":89,"depth":16,"authority":19,"freshness":44,"relevant":20,"comment":90},22,"基于全国性微观调查数据，方法规范、结论对数字乡村政策的精准施策有参考价值，值得进入每日精选。",[92,93],{"name":84,"url":81},{"name":94,"url":95},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Agricultural and Food Economics","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1938273\u002Ffull",[25,26,27,29,97],"收入差距",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":101},{"candidates":102,"agricultural_evidence":45},[103,108,113,118],{"code":31,"score":44,"supported":45,"title":104,"abstract":106,"tags":107},[105],"rural income",[],[29],{"code":35,"score":51,"supported":45,"title":109,"abstract":110,"tags":112},[],[111],"乡村振兴",[],{"code":50,"score":114,"supported":13,"title":115,"abstract":116,"tags":117},2,[],[],[25,26],{"code":56,"score":20,"supported":13,"title":119,"abstract":120,"tags":121},[],[],[27],[123,124],"中国乡村振兴调查 CRRS 数字能力","数字能力 农户收入 收入不平等","中国乡村振兴调查CRRS数字能力-4412","10.3389\u002Ffsufs.2026.1938273",{"doi":126,"openalex_id":128,"authors":129,"venue":84,"cited_by_count":64,"oa_url":134,"card":135,"direction":71,"ingested_from":140},"W7220848045",[130,132],{"name":131,"orcid":8},"Ting Hua",{"name":133,"orcid":8},"Hua Lu","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1938273\u002Fpdf",{"tldr":136,"method":137,"finding":138,"direction":71,"opportunity":139},"基于中国乡村振兴调查数据，分析数字能力对农户收入及村内收入不平等的影响。","OLS回归、倾向得分匹配与中介分析，使用CRRS微观农户数据。","数字能力提升收入并降低不平等，通过社交网络和缓解信贷约束起作用，对相对贫困户不显著。","可探究数字能力对相对贫困户失效的机制，以及农业经营收入未受益的数字化障碍。","openalex","2026-10-08T23:30:07.382591Z",{"id":143,"title":144,"url":145,"summary":146,"summary_zh":8,"content":8,"source_name":147,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":148,"score_detail":149,"sources":152,"tags":154,"primary_topic":158,"secondary_topics":159,"classification":160,"search_phrases":172,"slug":175,"view_count":114,"doi":8,"paper":176,"created_at":183},4962,"公共数据开放、劳动力流转与农户减贫增收","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F180148.html","莫馥宁(西南财经大学中国西部经济研究院;广西农商联合银行博士后科研工作站)在《财经科学》2026年第3期发表的研究以地方政府上线公共数据开放平台为准自然实验,考察其对农户减贫增收的影响。研究发现,公共数据开放显著提升农户收入,降低贫困发生率和贫困程度;机制分析表明,劳动力流转是核心路径,通过破解信息不对称、降低生产与就业风险、消除返乡顾虑,引导劳动力回流本地,实现经营性与工资性收入双增。异质性显示,数字素养高、创业意愿强、储蓄水平高的农户更明显受益。","《财经科学》2026年第3期",74,{"impact":16,"substance":89,"depth":16,"authority":150,"freshness":114,"relevant":20,"comment":151},14,"核心期刊实证研究，机制与异质性分析扎实，对数字乡村与数据要素惠农政策有参考价值，但发表时间较早、时效性偏弱。",[153],{"name":147,"url":145},[25,26,155,156,157],"农户增收","公共数据开放","劳动力流转",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":161},{"candidates":162,"agricultural_evidence":45},[163,168],{"code":31,"score":164,"supported":45,"title":165,"abstract":166,"tags":167},4,[],[29],[155],{"code":50,"score":114,"supported":13,"title":169,"abstract":170,"tags":171},[],[],[25,26],[173,174],"公共数据开放 农户减贫增收","西南财经大学 劳动力流转","公共数据开放农户减贫增收-4962",{"doi":8,"openalex_id":8,"authors":177,"venue":8,"cited_by_count":64,"oa_url":8,"card":178,"direction":71,"ingested_from":73},[],{"tldr":179,"method":180,"finding":181,"direction":71,"opportunity":182},"以公共数据开放平台上线为准自然实验，检验其对农户减贫增收的影响。","准自然实验，地方政府公共数据开放平台上线，农户收入与贫困数据。","公共数据开放显著提升农户收入、降低贫困，劳动力流转是核心机制。","可探究公共数据开放与农业物联网数据协同对农户增收的异质性作用。","2026-10-15T00:06:08.286860Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":189,"content":8,"source_name":84,"source_url":187,"published_at":190,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":191,"score_detail":192,"sources":195,"tags":197,"primary_topic":200,"secondary_topics":201,"classification":202,"search_phrases":218,"slug":221,"view_count":222,"doi":223,"paper":224,"created_at":235},2409,"The digital technology and income inequality: evidence from micro data in rural China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1937169","The digital technology revolution boosts residents’ income while creating income inequality mechanisms. Reducing rural income inequality (RII) is a global major challenge. With wider technology access, e-commerce greatly impacts narrowing RII, yet few studies explore how e-commerce affects RII. Taking China’s rural e-commerce (RE) development as a case, this study analyzes the digital economy’s impact on RII and its mechanisms. Findings show RE development increases income but widens the income inequality gap: high-income farmers benefit more from RE’s income-generating effects, enlarging the income gap between high- and low-income households in both agricultural and non-agricultural sectors. Improving rural road and broadband infrastructure, selecting better-educated village managers with out-of-home work experience, upgrading household network conditions, and providing digital skill training for low-income farmers can mitigate RE’s effect of widening RII. The government can reduce RII by encouraging cross-regional collaboration of e-commerce enterprises, upgrading village infrastructure, narrowing the human capital gap among village managers, and expanding digital technology application among low-income farmers.","数字技术革命在提升居民收入的同时，也催生了收入不平等的机制。缩小农村收入不平等(RII)是一项全球性重大挑战。随着技术可及性的扩大，电子商务对缩小RII产生了显著影响，然而探讨电子商务如何影响RII的研究却为数不多。本研究以中国农村电子商务(RE)发展为案例，分析了数字经济对RII的影响及其作用机制。研究发现，农村电子商务的发展虽然提高了收入，却扩大了收入不平等差距：高收入农户从电子商务的增收效应中获益更多，从而拉大了农业和非农业部门中高收入与低收入家庭之间的收入差距。改善农村道路和宽带基础设施、选拔具有外出务工经历且受教育程度较高的村级管理者、提升家庭网络条件，以及为低收入农户提供数字技能培训，均能缓解电子商务扩大RII的效应。政府可以通过鼓励电子商务企业跨区域合作、升级村庄基础设施、缩小村级管理者之间的人力资本差距，以及扩大数字技术在低收入农户中的应用，来缩小RII。","2026-09-13T00:00:00Z",78,{"impact":16,"substance":89,"depth":18,"authority":19,"freshness":193,"relevant":20,"comment":194},8,"基于中国农村微观数据的实证研究，揭示电商增收同时扩大收入差距的机制及缓解路径，对数字乡村政策有参考价值。",[196],{"name":84,"url":187},[198,25,26,199,97],"农村电商","农民增收",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":203},{"candidates":204,"agricultural_evidence":45},[205,209,213],{"code":31,"score":164,"supported":45,"title":206,"abstract":207,"tags":208},[],[105],[199],{"code":50,"score":114,"supported":13,"title":210,"abstract":211,"tags":212},[],[],[25,26],{"code":214,"score":20,"supported":13,"title":215,"abstract":216,"tags":217},"E5",[],[],[198],[219,220],"农村电商 农民增收 收入差距 数字乡村","农村电商 农民增收","农村电商农民增收收入差距数字乡村-2409",5,"10.3389\u002Ffsufs.2026.1937169",{"doi":223,"openalex_id":225,"authors":226,"venue":84,"cited_by_count":64,"oa_url":187,"card":230,"direction":71,"ingested_from":140},"W7212439542",[227,229],{"name":228,"orcid":8},"Zeyun Zhong",{"name":133,"orcid":8},{"tldr":231,"method":232,"finding":233,"direction":71,"opportunity":234},"基于中国农村电商微观数据，分析数字技术对农村收入不平等的影响及机制。","中国农村电商微观数据，实证分析收入差距及调节因素。","电商增收但扩大收入差距，高收入农户获益更多；基建、教育、培训可缓解。","可探究数字技能培训对低收入农户的精准干预效果及长期收入分配动态。","2026-09-14T23:30:06.575473Z",{"id":237,"title":238,"url":239,"summary":240,"summary_zh":8,"content":8,"source_name":241,"source_url":8,"published_at":242,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":243,"score_detail":244,"sources":246,"tags":248,"primary_topic":251,"secondary_topics":256,"classification":263,"search_phrases":284,"slug":287,"view_count":51,"doi":8,"paper":288,"created_at":295},2403,"乡村治理数字化对农民增收的影响研究——基于县域数字乡村指数与CFPS微观调查数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F127622.html","统计与决策2026年第02期。付莎、王军将《县域数字乡村指数》和CFPS微观调查数据进行匹配，实证探究乡村治理数字化对农民增收的影响。结果表明：乡村治理数字化有助于促进农民增收，具有益贫效应（在农村未接入互联网和低收入群体中增收效应更强）；通过提高农民数字素养、提升农民对本地官员的信任度来促进农民增收；对高学历农民的增收效应更显著。","统计与决策 | 2026-09-09","2026-09-09T00:00:00Z",76,{"impact":16,"substance":89,"depth":16,"authority":19,"freshness":222,"relevant":20,"comment":245},"核心期刊实证研究，将县域数字乡村指数与CFPS微观数据匹配，揭示乡村治理数字化的益贫效应与信任机制，对数字乡村政策有参考价值。",[247],{"name":241,"url":239},[25,249,26,199,250],"乡村治理","县域经济",{"code":50,"slug":252,"name":253,"path":254,"parent_code":255},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[257,262],{"code":258,"slug":259,"name":260,"path":261,"parent_code":35},"G5","rural-governance","乡村治理与人才","\u002Ftopic\u002Frural-services\u002Frural-governance",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"status":38,"locked":13,"version":39,"method":40,"evidence":264},{"candidates":265,"agricultural_evidence":45},[266,270,275,279],{"code":50,"score":19,"supported":45,"title":267,"abstract":268,"tags":269},[25],[25],[25,26],{"code":258,"score":271,"supported":45,"title":272,"abstract":273,"tags":274},12,[249],[249],[249],{"code":31,"score":271,"supported":45,"title":276,"abstract":277,"tags":278},[199],[199],[199],{"code":280,"score":20,"supported":13,"title":281,"abstract":282,"tags":283},"G4",[],[],[250],[285,286],"乡村治理 农民增收 县域经济 数字乡村","乡村治理 农民增收","乡村治理农民增收县域经济数字乡村-2403",{"doi":8,"openalex_id":8,"authors":289,"venue":8,"cited_by_count":64,"oa_url":8,"card":290,"direction":71,"ingested_from":73},[],{"tldr":291,"method":292,"finding":293,"direction":71,"opportunity":294},"匹配县域数字乡村指数与CFPS数据，实证检验乡村治理数字化对农民增收的影响。","县域数字乡村指数与CFPS微观调查数据匹配，实证回归分析。","乡村治理数字化促进农民增收且具益贫效应，通过提升数字素养与官员信任实现。","可探究治理数字化益贫效应的长期动态及不同治理场景下的异质性机制。","2026-09-14T00:06:33.536950Z",{"id":297,"title":298,"url":299,"summary":300,"summary_zh":8,"content":8,"source_name":301,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":148,"score_detail":302,"sources":304,"tags":306,"primary_topic":310,"secondary_topics":311,"classification":312,"search_phrases":334,"slug":337,"view_count":64,"doi":8,"paper":338,"created_at":345},5361,"数智技术与农民增收:基于 31 省 2012-2023 年面板数据的影响效应与作用机制","https:\u002F\u002Ftwnt.fjnyxb.cn\u002F","基于 2012—2023 年 31 个省份面板数据并构建计量回归模型,系统探究数智技术发展对农民增收的影响效应与作用机制。研究发现:数智技术能显著推动农村居民可支配收入提升,结论经多重稳健性检验后依然成立。增收作用通过提升技术成果转化效率、培育粮食新质生产力两条路径实现。数智技术的增收效应存在显著异质性,在数字基础更优的东部地区、产业结构多元的非粮食主产区表现更为突出。DOI: 10.16006\u002Fj.cnki.twnt.2026.04.004。","《台湾农业探索》48(4):37-45 2026",{"impact":16,"substance":89,"depth":16,"authority":150,"freshness":114,"relevant":20,"comment":303},"基于31省11年面板数据的实证研究，方法规范、结论有新意，但属学术论文且发布日期不明，时效性弱，适合主题聚合而非每日精选。",[305],{"name":301,"url":299},[25,199,307,308,309],"数智技术","面板数据","粮食新质生产力",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":313},{"candidates":314,"agricultural_evidence":45},[315,319,325,330],{"code":31,"score":271,"supported":45,"title":316,"abstract":317,"tags":318},[199],[199],[199],{"code":320,"score":51,"supported":45,"title":321,"abstract":322,"tags":324},"G1",[],[323],"成果转化",[],{"code":326,"score":20,"supported":13,"title":327,"abstract":328,"tags":329},"I1",[],[],[307],{"code":50,"score":20,"supported":13,"title":331,"abstract":332,"tags":333},[],[],[25],[335,336],"数智技术 农民增收","台湾农业探索 数智技术","数智技术农民增收-5361",{"doi":8,"openalex_id":8,"authors":339,"venue":8,"cited_by_count":64,"oa_url":8,"card":340,"direction":71,"ingested_from":73},[],{"tldr":341,"method":342,"finding":343,"direction":71,"opportunity":344},"用31省2012-2023年面板数据检验数智技术对农民增收的影响与机制。","31省面板数据，计量回归模型，多重稳健性检验与异质性分析。","数智技术显著提升农民可支配收入，经技术成果转化与粮食新质生产力两条路径实现。","可深入微观农户或县域层面，探究数智技术增收效应的区域异质性成因与数字鸿沟调节作用。","2026-10-20T02:47:54.217965Z",{"id":347,"title":348,"url":349,"summary":350,"summary_zh":8,"content":8,"source_name":351,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":45,"score":352,"score_detail":353,"sources":356,"tags":358,"primary_topic":361,"secondary_topics":366,"classification":368,"search_phrases":387,"slug":390,"view_count":222,"doi":8,"paper":391,"created_at":398},4478,"更好发挥电商在促进农民增收中的作用 农村电商直接带动农民增收的三条路径","https:\u002F\u002Fso.html5.qq.com\u002Fpage\u002Freal\u002Fsearch_news?docid=70000021_8246ac795b854952","农业农村部信息中心郁跃伟、崔阳阳联合撰文指出，2025年农产品网络零售额达7833.1亿元、同比增长9.9%，头部电商平台全年助农直播超400万场、农村网商数达2007.4万家，2026年一季度农村网络零售额同比增长11.0%、农产品网络零售额同比增长14.7%；农村电商直接带动农民增收的三条路径——优化就业结构、促进产业结构调整、数字金融普惠；三条路径相互交织、彼此强化使农民集生产者、销售者、服务者、创业者等角色于一身。","农业农村部信息中心 郁跃伟 崔阳阳 2026-10-08",87,{"impact":354,"substance":89,"depth":16,"authority":150,"freshness":44,"relevant":20,"comment":355},24,"部委信息中心撰文，含2025年及2026年一季度最新数据与三条增收路径结论，时效性强，值得进入每日精选。",[357],{"name":351,"url":349},[198,25,199,359,360],"数字金融","农产品上行",{"code":214,"slug":362,"name":363,"path":364,"parent_code":365},"branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","E",[367],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"status":38,"locked":13,"version":39,"method":40,"evidence":369},{"candidates":370,"agricultural_evidence":45},[371,375,379,383],{"code":214,"score":19,"supported":45,"title":372,"abstract":373,"tags":374},[198],[198],[360,198],{"code":31,"score":271,"supported":45,"title":376,"abstract":377,"tags":378},[199],[199],[199],{"code":56,"score":20,"supported":13,"title":380,"abstract":381,"tags":382},[],[],[359],{"code":50,"score":20,"supported":13,"title":384,"abstract":385,"tags":386},[],[],[25],[388,389],"农业农村部信息中心 农村电商 农民增收","农产品网络零售额 农村网商","农业农村部信息中心农村电商农民增收-4478",{"doi":8,"openalex_id":8,"authors":392,"venue":8,"cited_by_count":64,"oa_url":8,"card":393,"direction":71,"ingested_from":73},[],{"tldr":394,"method":395,"finding":396,"direction":71,"opportunity":397},"分析农村电商直接带动农民增收的三条路径及其交织强化机制。","基于农业农村部信息中心数据，梳理电商助农增收路径。","电商通过优化就业、调整产业、数字金融普惠三条路径协同促进农民增收。","可量化三条路径的交互效应，并研究不同区域与农户类型的增收差异。","2026-10-09T00:05:02.517070Z"]