[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5545":3,"related-5545":87},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":68,"slug":71,"view_count":72,"doi":73,"paper":74,"created_at":86},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。",null,"Frontiers in Sustainable Food Systems","2026-10-21T00:00:00Z","论文",10,false,69,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},8,21,17,13,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字乡村","数字金融","供应链韧性","农业企业","食品供应链",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":67},[38,46,52,57,62],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":45},"E3",3,true,[],[44],"冷链",[],{"code":47,"score":40,"supported":41,"title":48,"abstract":49,"tags":51},"E4",[],[50],"食品安全",[],{"code":53,"score":21,"supported":14,"title":54,"abstract":55,"tags":56},"G2",[],[],[29],{"code":58,"score":21,"supported":14,"title":59,"abstract":60,"tags":61},"G3",[],[],[27],{"code":63,"score":21,"supported":14,"title":64,"abstract":65,"tags":66},"I6",[],[],[26],"农业相关性需要复核",[69,70],"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",0,"10.3389\u002Ffsufs.2026.1948192",{"doi":73,"openalex_id":75,"authors":76,"venue":10,"cited_by_count":72,"oa_url":6,"card":79,"direction":83,"ingested_from":85},"W7223086503",[77],{"name":78,"orcid":9},"Jieyu Zhao",{"tldr":80,"method":81,"finding":82,"direction":83,"opportunity":84},"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。","数字乡村与农业信息化","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。","openalex","2026-10-22T11:20:15.297878Z",{"total":88,"page":21,"page_size":88,"items":89},6,[90,147,213,272,339,376],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":95,"content":9,"source_name":10,"source_url":93,"published_at":96,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":97,"score_detail":98,"sources":103,"tags":105,"primary_topic":9,"secondary_topics":108,"classification":109,"search_phrases":127,"slug":130,"view_count":131,"doi":132,"paper":133,"created_at":146},2921,"Can digital technology adoption enhance supply chain resilience? Evidence from listed food firms in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1930717","As a sector vital to national welfare and people’s livelihoods, the food industry has supply chains characterized by perishable raw materials, pronounced seasonality, stringent safety standards, extended chain structures, and highly fragmented participants. These features make food supply chains particularly vulnerable to external shocks, making the enhancement of supply chain resilience essential for safeguarding food safety and industrial and supply chain security. Using a sample of food firms listed on the Shanghai and Shenzhen A-share markets from 2009 to 2024, we systematically examine the effect of digital technology adoption on supply chain resilience, its potential channels, and heterogeneous effects. First, digital technology adoption significantly enhances the supply chain resilience of food firms. Second, digital technology adoption is significantly associated with greater information transparency, weaker financing constraints, and lower supply chain concentration. Third, this resilience-enhancing effect is more pronounced among firms facing lower environmental uncertainty, firms with stronger corporate innovation capability, and firms located in regions with a higher level of regional marketization. Focusing on the unique context of the food industry, we examine the potential channels and heterogeneous effects of digital technology adoption and provide micro-level empirical evidence for advancing the digital transformation of food firms, safeguarding food safety, and maintaining stable supply.","作为关乎国计民生的重要产业，食品产业的供应链具有原料易腐、季节性显著、安全标准严格、链条长、参与主体高度分散等特征。这些特征使食品供应链更易受到外部冲击，因此提升供应链韧性对于保障食品安全和产业链供应链安全至关重要。本文以2009—2024年沪深A股上市食品企业为样本，系统考察数字技术应用对供应链韧性的影响、潜在渠道及异质性效应。第一，数字技术应用显著提升了食品企业的供应链韧性。第二，数字技术应用与更高的信息透明度、更弱的融资约束和更低的供应链集中度显著相关。第三，这种韧性提升效应在环境不确定性较低的企业、创新能力较强的企业以及所在地区市场化水平较高的企业中更为明显。本文聚焦食品产业的独特情境，考察数字技术应用的潜在渠道和异质性效应，为推进食品企业数字化转型、保障食品安全和维持供应稳定提供微观层面的经验证据。","2026-09-18T00:00:00Z",80,{"impact":99,"substance":100,"depth":99,"authority":20,"freshness":101,"relevant":21,"comment":102},18,22,9,"基于2009-2024年A股食品企业样本的实证研究，为农业食品行业数字化转型与供应链安全提供微观证据，方法规范、结论有政策参考价值。",[104],{"name":10,"url":93},[106,28,107,29,30],"数字农业","数字化转型",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":110},{"candidates":111,"agricultural_evidence":14,"reason":67},[112,117,123],{"code":47,"score":88,"supported":41,"title":113,"abstract":114,"tags":116},[],[50,115],"food safety",[],{"code":118,"score":119,"supported":14,"title":120,"abstract":121,"tags":122},"I1",2,[],[],[106,107],{"code":53,"score":21,"supported":14,"title":124,"abstract":125,"tags":126},[],[],[29],[128,129],"食品企业 数字化转型 供应链韧性","A股食品企业 数字技术 供应链","食品企业数字化转型供应链韧性-2921",7,"10.3389\u002Ffsufs.2026.1930717",{"doi":132,"openalex_id":134,"authors":135,"venue":10,"cited_by_count":72,"oa_url":93,"card":141,"direction":83,"ingested_from":85},"W7213555796",[136,139],{"name":137,"orcid":138},"Meihui Li","https:\u002F\u002Forcid.org\u002F0009-0004-2665-2629",{"name":140,"orcid":9},"Yuechao Zhu",{"tldr":142,"method":143,"finding":144,"direction":83,"opportunity":145},"基于2009-2024年中国A股食品上市公司，实证检验数字技术采用对供应链韧性的影响及机制。","使用沪深A股食品企业面板数据，实证分析数字技术采用与供应链韧性的关系。","数字技术采用显著提升食品企业供应链韧性，通过提高信息透明度、缓解融资约束和降低供应链集中度实现。","可探究数字技术不同维度对食品供应链韧性的差异化影响，以及环境不确定性的调节机制。","2026-09-19T23:30:08.651264Z",{"id":148,"title":149,"url":150,"summary":151,"summary_zh":9,"content":9,"source_name":152,"source_url":9,"published_at":153,"category":12,"cover_url":9,"hotness":13,"is_selected":41,"score":154,"score_detail":155,"sources":159,"tags":161,"primary_topic":165,"secondary_topics":171,"classification":178,"search_phrases":199,"slug":202,"view_count":203,"doi":9,"paper":204,"created_at":212},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","2026-10-08T00:00:00Z",87,{"impact":156,"substance":100,"depth":99,"authority":157,"freshness":101,"relevant":21,"comment":158},24,14,"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。",[160],{"name":152,"url":150},[162,26,163,27,164],"农村电商","农民增收","农产品上行",{"code":166,"slug":167,"name":168,"path":169,"parent_code":170},"E5","branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","E",[172],{"code":173,"slug":174,"name":175,"path":176,"parent_code":177},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",{"status":179,"locked":14,"version":34,"method":35,"evidence":180},"classified",{"candidates":181,"agricultural_evidence":41},[182,186,191,195],{"code":166,"score":20,"supported":41,"title":183,"abstract":184,"tags":185},[162],[162],[164,162],{"code":173,"score":187,"supported":41,"title":188,"abstract":189,"tags":190},12,[163],[163],[163],{"code":58,"score":21,"supported":14,"title":192,"abstract":193,"tags":194},[],[],[27],{"code":63,"score":21,"supported":14,"title":196,"abstract":197,"tags":198},[],[],[26],[200,201],"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",5,{"doi":9,"openalex_id":9,"authors":205,"venue":9,"cited_by_count":72,"oa_url":9,"card":206,"direction":83,"ingested_from":211},[],{"tldr":207,"method":208,"finding":209,"direction":83,"opportunity":210},"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。","agent","2026-10-09T00:05:02.517070Z",{"id":214,"title":215,"url":216,"summary":217,"summary_zh":9,"content":218,"source_name":219,"source_url":9,"published_at":220,"category":221,"cover_url":9,"hotness":13,"is_selected":14,"score":222,"score_detail":223,"sources":226,"tags":228,"primary_topic":232,"secondary_topics":236,"classification":237,"search_phrases":267,"slug":270,"view_count":72,"doi":9,"paper":9,"created_at":271},2552,"数智助农成服贸会金融专题展亮点 农业银行展示AI数字人农小耘","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7685207598819279360\u002F","9月14日服贸会报道。中国农业银行以数智助农乡村振兴为主题展示智能化金融服务体系，AI能力嵌入信贷评估、风险核查等环节；农户在村里线上提交申请后系统可辅助完成信息核验与初步授信。北京农商银行展示非接触AI健康检测机器人；北京银行展示的科创企业技术已在智慧农业、农产品溯源等场景落地。","## 数智助农成服贸会金融专题展亮点\n\n2026-09-14 10:12·[中国网三农](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAbAvyMQxxaA9sEwA2aUWsAOJjrH-pK95hBvQUB6GaSEg\u002F?source=tuwen_detail)\n\n近日，北京首钢园迎来2026年中国国际服务贸易交易会（以下简称“服贸会”），金融服务专题展区以“智焕新生 金融聚力”为主题。记者在展区现场看到，各家展台前人头攒动，数智金融如何下沉乡村，成为不少观众关注的焦点。\n\n中国农业银行展台以绿色为主调，“数智助农”“乡村振兴”字样醒目。一位观众朝屏幕招手，AI数字人“农小耘”随即回应。工作人员介绍，农行此次展示了智能化金融服务体系，AI能力可嵌入信贷评估、风险核查等环节，农户在村里线上提交申请后，系统可辅助完成信息核验与初步授信，不必再往返县城网点。服务半径由此延伸到村口，数字技术让金融支农更直达。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fc75fa582de054ded9aaf0da332891c36~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790121915&x-signature=%2FPNFaboCnXA%2F%2F0wpGhoOm4cWxLI%3D)\n\n中国农业银行展区，观众正在智能点餐机前扫码点单\n\n另一侧，北京农商银行展区排起小队。观众刘女士坐到一台智能检测机前，无需接触硬件，数秒后健康筛查报告呈现在显示屏上。“这是我们研发的非接触AI健康检测机器人，数秒完成多维度生理指标筛查。”耀眼科技副经理王俊才介绍，该设备已在北京亦庄荣华街道智慧康养机器人养老驿站试点，千余名体验者中农民占三分之一。由于部分农村地区居民健康筛查不便，银行网点正好可以成为服务下沉的入口。北京农商银行与耀眼科技合作，计划将AI健康检测机器人嵌入网点，依托养老助残卡、第三代社保卡，构建“金融网点+健康服务”便民模式。\n\n北京银行展台同样热闹。环抱式“金融会客厅”里，中轴线手绘长卷与科技产品相映成趣。环廊陈列的25件前沿科技产品，多来自该行长期支持的科创企业。记者了解到，这些企业的技术已在智慧农业、农产品溯源等场景落地，部分科创企业还获得该行专项信贷支持，将AI、物联网技术带入设施农业园区。从支持科创企业到技术反哺农业，金融正成为连接科技与乡村的桥梁。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F21c30bfe934940439449f459252e41d8~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790121915&x-signature=9CqAJQPWYzu3ZBgbNjWmOZ%2FwyxA%3D)\n\n北京银行展区，观众驻足观看机器人演奏\n\n穿行展区，记者感到，本次服贸会金融服务专题展示的不只是技术，更是服务民生、助力“三农”的路径探索。资金、科技与乡村加速融合，数智技术正让服务更贴近乡土，为乡村全面振兴提供持久支撑。\n\n来源：农民日报","中国网三农 2026-09-14","2026-09-14T02:00:00Z","报道",55,{"impact":187,"substance":20,"depth":187,"authority":224,"freshness":131,"relevant":21,"comment":225},11,"服贸会金融展上的数智助农展示，属企业宣传性综合报道，有AI数字人、非接触健康检测等具体案例，但无政策条款或新数据，适合作为主题页聚合素材而非每日精选头条。",[227],{"name":219,"url":216},[26,229,230,231,27],"智慧农业","农业人工智能","乡村振兴",{"code":47,"slug":233,"name":234,"path":235,"parent_code":170},"food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety",[],{"status":179,"locked":14,"version":34,"method":35,"evidence":238},{"candidates":239,"agricultural_evidence":41},[240,245,249,254,258,263],{"code":177,"score":241,"supported":41,"title":242,"abstract":243,"tags":244},4,[],[231],[231],{"code":118,"score":241,"supported":41,"title":246,"abstract":247,"tags":248},[],[229],[229],{"code":47,"score":40,"supported":41,"title":250,"abstract":251,"tags":253},[],[252],"农产品溯源",[],{"code":58,"score":21,"supported":14,"title":255,"abstract":256,"tags":257},[],[],[27],{"code":259,"score":21,"supported":14,"title":260,"abstract":261,"tags":262},"I2",[],[],[230],{"code":63,"score":21,"supported":14,"title":264,"abstract":265,"tags":266},[],[],[26],[268,269],"农业人工智能 乡村振兴 数字乡村 数字金融","农业人工智能 乡村振兴","农业人工智能乡村振兴数字乡村数字金融-2552","2026-09-16T00:03:45.025672Z",{"id":273,"title":274,"url":275,"summary":276,"summary_zh":9,"content":277,"source_name":278,"source_url":9,"published_at":279,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":280,"score_detail":281,"sources":284,"tags":286,"primary_topic":290,"secondary_topics":295,"classification":296,"search_phrases":334,"slug":337,"view_count":203,"doi":9,"paper":9,"created_at":338},791,"数字乡村发展与牧户非农就业:来自甘青川藏26县2790户牧户调查的证据(原标题:From Grasslands to Markets: Digital Rural Development and Herders' Non-Farm Employment)","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503","兰州大学草地农业生态系统国家重点实验室吴忠安等团队基于2023-2025年甘青川藏26县2790户牧户调查数据,考察县级数字乡村发展与牧户非农就业关系。研究发现数字乡村发展与户主主要从事非农就业的可能性正相关,在系列稳健性和内生性检验后结果稳定;在第一产业基础较大的地区以及从事饲草种植的牧户中,正向关联较弱,表明当地生产结构和家庭劳动配置制约了数字机会向就业多元化转化。进一步分析表明数字金融和数字消费是数字乡村发展支持非农就业的两种潜在渠道。研究强调牧区就业收益既取决于数字接入,又取决于家庭劳动配置灵活性及非农机会可得性。","Logical Operator Operator\n\nSearch Text\n\nSearch Type\n\n_add\\_circle\\_outline_\n\n_remove\\_circle\\_outline_\n\n[![Image 1: sustainability-logo](https:\u002F\u002Fpub.mdpi-res.com\u002Fimg\u002Fjournals\u002Fsustainability-logo.png?3798e4e58c765aed)](https:\u002F\u002Fwww.mdpi.com\u002Fjournal\u002Fsustainability)\n\n## Article Menu\n\nFont Type:\n\n_Arial_ _Georgia_ _Verdana_\n\nFont Size:\n\nAa Aa Aa\n\nLine Spacing:\n\n__ __ __\n\nColumn Width:\n\n__ __ __\n\nBackground:\n\nOpen Access Article\n\nby \nZhongan Wu\n\n *[](mailto:wuzha2023@lzu.edu.cn), \nToba Stephen Olasehinde\n\n and \nYubing Fan\n\nState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, Chinese Grass Industry Development Strategy Research Center, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China\n\n*\n\nAuthor to whom correspondence should be addressed.\n\nSubmission received: 3 July 2026 \u002F Revised: 11 August 2026 \u002F Accepted: 12 August 2026 \u002F Published: 19 August 2026\n\n## Abstract\n\nAlthough natural resources and geographical factors limit herders’ employment options, the development of digital rural helps herding households compete on an equal footing by expanding employment opportunities. Using survey data collected from 2790 herder households in 26 counties across Gansu, Qinghai, Sichuan and Tibet from 2023 to 2025, this study examines the relationship between county-level digital rural development and non-farm employment. We find that digital rural development is positively associated with the likelihood that household heads engage primarily in non-farm employment. This finding remains stable across a series of robustness and endogeneity checks. Moreover, the positive association is weaker in areas with a larger primary-industry base and among households engaged in forage cultivation, suggesting that local production structures and household labor commitments constrain the conversion of digital opportunities into employment diversification. Further analysis indicates that digital finance and digital consumption are two potential channels through which digital rural development supports non-farm employment. These findings highlight that the employment benefits of digital development depend not only on digital access but also on the flexibility of household labor allocation and the availability of non-farm opportunities in pastoral areas.\n\n## 1. Introduction\n\nArtificial intelligence, Big Data, and mobile internet are examples of digital technology that are spreading to all parts of the economy and society, changing how production is organized and people work [[1](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B1-sustainability-18-08503)]. Given the above, China released the Digital Rural Development Plan in 2018 to promote the construction of a digital rural society and rural revitalization. As 5G networks expand into rural and pastoral areas, the all-weather demonstration project for e-commerce in rural areas continues to advance, and the coverage of digital inclusive finance is gradually expanding. At the same time, digital infrastructure and services are being rolled out in the grassland region at an ever-increasing rate [[2](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B2-sustainability-18-08503)]. However, because of their remote areas, fragile ecosystems and unique cultures, these large pastoral areas have been lacking in development resources for a long time. Traditional livestock farming is limited by the productivity of natural grasslands, ecological red lines and fluctuations in market prices, and a single grazing-based livelihood model cannot provide stable income growth for herder households [[3](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B3-sustainability-18-08503)]. Therefore, expanding non-farm employment opportunities and promoting the transfer of the pastoral workforce to the secondary and tertiary sectors are urgently needed to consolidate the results of poverty alleviation and prevent a relapse into poverty, as well as to achieve all-round rejuvenation of pastoral areas.\n\nNon-farm employment provides herder households with an alternative to relying entirely on traditional livestock production. This resulting income mix can reduce exposure to livestock losses and strengthen resilience to market, climatic and health shocks [[4](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B4-sustainability-18-08503)]. Especially against the backdrop of increasing resource and environmental constraints in pastoral areas and shrinking growth prospects for traditional livestock farming, promoting the rational flow of labor into non-farm sectors is not only a practical necessity for herding households to enhance the resilience of their livelihoods, but also a key direction for industrial restructuring and socioeconomic transformation in pastoral areas. However, the formation of non-farm employment is not simply a matter of individual choice, as herders’ decision-making is influenced by a range of factors, including their ability to access information, job search costs, financial constraints, and the extent of market access [[5](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B5-sustainability-18-08503),[6](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B6-sustainability-18-08503)]. The reason why the development of digital rural may have an impact on herders’ non-farm employment is that it can, to some extent, alleviate these constraints.\n\nExisting research has provided a wealth of discussion on the relationship between the digital economy, information and communication technologies, and rural labor migration, as well as the growth of farm household income [[7](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B7-sustainability-18-08503),[8](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B8-sustainability-18-08503),[9](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B9-sustainability-18-08503),[10](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B10-sustainability-18-08503)]. A large body of the literature indicates that digital development can improve the information environment, expand market access, alleviate financial exclusion, and, to some extent, facilitate the shift in rural labor toward the non-farm sector [[11](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B11-sustainability-18-08503),[12](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B12-sustainability-18-08503),[13](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B13-sustainability-18-08503)]. Some studies have also indicated that the development of internet usage, digital finance, and e-commerce has a positive impact on farmers’ non-farm employment, entrepreneurial activities, and income growth [[14](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B14-sustainability-18-08503),[15](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B15-sustainability-18-08503),[16](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B16-sustainability-18-08503),[17](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B17-sustainability-18-08503)]. More broadly, infrastructure development and technological progress can promote economic diversification and strengthen livelihood resilience in peripheral and resource-dependent regions [[18](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B18-sustainability-18-08503)]. In terms of research subjects, most of the existing studies have focused on farmers and have paid relatively little attention to herders, another group in pastoral areas. Herders’ employment decisions are influenced by the general labor market, but they are also restricted by other factors, such as grassland management systems, livestock production cycles, household livestock assets and grazing practices; therefore, their non-farm employment behavior is relatively context-specific and constrained [[19](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B19-sustainability-18-08503),[20](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B20-sustainability-18-08503)]. Most studies have focused on the general inclusive benefits of digital technology for research, but there is a lack of specific research on how digital rural initiatives operate in the particular spatial conditions of pastoral areas and whether their effects differ among different groups and regions.\n\nThis paper takes as its focus the non-farm employment of herders and studies the effect of digital rural development on the transformation of herders’ employment, as well as the mechanisms through which this change occurs. Based on this, this paper seeks to answer the following questions: can digital rural development promote non-farm employment among herders?; through what mechanisms does it primarily achieve this?; and does this impact vary depending on individual characteristics, spatial conditions, and the level of development in each county? This study makes three contributions. First, it conceptualizes digital rural development in pastoral areas as a mechanism for translating digital access into non-farm employment opportunities, emphasizing the role of household labor constraints in livestock-based livelihoods. In doing so, it extends the literature on digital rural development and labor transition by showing that improved digital access does not automatically lead to labor reallocation, because pastoral production commitments may constrain herders’ ability to respond to new employment opportunities. Second, it integrates survey data from 2790 herding households across Gansu, Qinghai, Sichuan, and Tibet, with a county-level Digital Rural Development Index, providing evidence from underrepresented pastoral production systems. Third, it examines how structural and household-level conditions shape the relationship between digital rural development and non-farm employment, highlighting the importance of contextual heterogeneity in pastoral regions. By linking digital development with livelihood diversification, the study also contributes to the rural sustainability literature by showing that the employment benefits of digitalization depend on household labor flexibility and local economic conditions.\n\n## 2. Theoretical Framework\n\n### 2.1. Direct Effects of Digital Rural Development on Herders’ Non-Farm Employment\n\nCompared to typical rural areas, pastoral regions face long-standing constraints such as geographical dispersion, poor transportation, limited access to information and insufficient market access. As a result, employment options for herding households are often confined to traditional livestock farming. Access to non-farm employment depends largely on personal network or occasional face-to-face contact [[21](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B21-sustainability-18-08503)]. In light of the above, the construction of an information infrastructure, the extension of platform coverage and the broad application of digital tools in the development of digital rural have created new employment opportunities for herders outside of traditional sectors.\n\nAccording to the theory of information asymmetry, if market participants cannot obtain the required information in time and to their full satisfaction, they will bear a higher search cost, be less efficient in matching, and thus lose opportunities in their decision-making [[22](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B22-sustainability-18-08503),[23](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B23-sustainability-18-08503)]. The development of digital rural is changing how herders get jobs and market information. New technologies are now available to help herders stay informed about new employment prospects outside farming, wage levels, working locations and required skills [[24](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B24-sustainability-18-08503)]. In this way, information barriers between herders and the outside labor market have been reduced. Thus, employment information is no longer scarce and fragmented, but rather open and accessible. As a result, herders’ awareness of non-farm employment and their opportunities for employment have significantly increased [[25](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B25-sustainability-18-08503)].\n\nAs is well-known, non-farm employment not only involves the movement of labor across sectors, but also entails costs associated with information search, transportation, payment settlements and job matching. Transaction cost theory suggests that improvements in market efficiency depend largely on reductions in transaction costs [[26](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B26-sustainability-18-08503),[27](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B27-sustainability-18-08503)]. The development of digital rural has reduced the time costs, communication costs, and institutional friction faced by herders when seeking non-farm employment through information dissemination, digital payments and platform integration. Looking further, improvements in the information environment and reductions in transaction costs do not stop at the level of access to employment opportunities. Rather, they continue to influence labor allocation within herding households. In this context, non-farm employment reflects the reallocation of household labor from livestock production to non-farm sector [[28](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B28-sustainability-18-08503),[29](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B29-sustainability-18-08503)]. Consequently, household labor may gradually shift away from traditional livestock production toward a wider range of market-based non-farm activities. In light of the above, this paper proposes the following hypothesis:\n\n**H1.**\n\nDigital rural development is positively associated with household non-farm employment.\n\n### 2.2. Boundary Conditions of the Employment Effects of Digital Rural Development\n\nDigital rural development can improve information access, reduce job-search costs, and strengthen links to external markets. Nevertheless, these improvements do not automatically generate non-farm employment. Whether herders convert digital opportunities into employment also depends on local industrial structure and household production systems. We therefore examine the moderating roles of primary-industry development and forage cultivation.\n\nStructural transformation involves the reallocation of labor from primary production toward secondary and tertiary activities [[30](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B30-sustainability-18-08503)]. Primary-industry value added at the county level measures the absolute scale of agricultural and livestock output, rather than the sector’s share of the local economy or its relative return. A higher value may nevertheless indicate a larger agricultural and livestock production base. In such counties, digital tools may be used more extensively for production management, input procurement and product marketing within the primary sector [[31](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B31-sustainability-18-08503)]. Digitalization may lower search, matching, and market-access costs while also improving production within the primary sector. Where digital services are used mainly for production management and product marketing, these benefits may be absorbed within agricultural and pastoral activities rather than translated into labor reallocation [[32](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B32-sustainability-18-08503)]. The positive association between digital rural development and herders’ participation in non-farm employment may therefore be weaker in counties with a larger primary industry base. We propose:\n\n**H2a.**\n\nHigher primary industry value added in a county weakens the positive association between digital rural development and household non-farm employment.\n\nForage cultivation is closely integrated with livestock production and requires labor for planting, management, harvesting, transport and storage [[33](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B33-sustainability-18-08503)]. These tasks increase household labor demands, particularly during busy seasons. With limited household labor, forage cultivation may reduce the time available for non-farm employment [[34](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B34-sustainability-18-08503)]. It also binds cropland, forage, livestock and family labor into a more integrated production system. Households may therefore have less flexibility to act on digital employment information and market opportunities.\n\n**H2b.**\n\nForage cultivation weakens the positive association between digital rural development and household non-farm employment.\n\n### 2.3. Transmission Mechanisms of Digital Rural Development\n\nIn most cases, funding is a key factor limiting herders’ ability to engage in any activities. Continuing livestock production, starting a business, and seeking employment elsewhere may all require financial resources, while reliable payment services can facilitate related transactions [[35](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B35-sustainability-18-08503),[36](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B36-sustainability-18-08503)]. However, due to factors such as remote locations, a lack of financial service outlets and exclusion from the traditional financial system, herders have long faced challenges in accessing financial services [[37](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B37-sustainability-18-08503)]. The development of digital rural has driven the shift in financial services toward online, convenient and grassroots-level delivery, providing herders with more accessible channels for payments, credit and financial services. The expansion of financial services to grassroots levels represents not only an increase in the scale of financial operations but also an extension of service coverage and an improvement in the efficiency of resource allocation. Digital rural development can facilitate the expansion of digital finance. Greater access to digital financial services may ease the credit and liquidity constraints faced by herding households. This, in turn, can lower the financial barriers to participation in non-farm employment and entrepreneurial activities [[38](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B38-sustainability-18-08503)]. At the same time, development of digital finance has reduced the transaction costs for labor transfer and provided a relatively easy way for herders to access external labor markets [[39](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B39-sustainability-18-08503)]. Therefore, the development of digital rural areas should not only increase the supply of financial products but also improve the financial situation for herders’ non-market activities at a deeper level and enhance their ability to engage in non-farm employment. Based on the above analysis, this study puts forward the following hypothesis:\n\n**H3.**\n\nDigital rural development promotes herders’ non-farm employment by expanding digital finance.\n\nWith the spread of online shopping, digital payments, and platform services, herding households have become more closely connected to digital markets. These developments have changed how households purchase goods, make payments, and access consumer services [[40](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B40-sustainability-18-08503)].\n\nThe shift in consumption patterns is not merely a change in lifestyle. It also influences household employment choices through adjustments in income needs and labor allocation. Traditional herding households often rely on self-produced goods and local supplies. Digital rural development has expanded their access to external markets. Their consumption may therefore become more dependent on purchased goods and services. While households now have a wider range of choices regarding goods and services, they also have a greater need for a stable cash flow to support these choices [[41](https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F16\u002F8503#B41-sustainability-18-08503)]. The increase in digital consumption suggests that more money will be needed by households. As a result, there has been a change in demand for labor, and many people have begun to leave traditional pastoralism for non-agricultural work in search of a more stable in","MDPI Sustainability 18(16):8503 2026-08-19","2026-08-19T00:00:00Z",81,{"impact":99,"substance":100,"depth":282,"authority":20,"freshness":17,"relevant":21,"comment":283},20,"基于2790户牧户调查的实证研究，揭示数字乡村对非农就业的促进作用及条件，数据详实，结论可靠，对牧区数字乡村政策有参考价值。",[285],{"name":278,"url":275},[26,287,27,288,289],"Sustainability","非农就业","牧户",{"code":63,"slug":291,"name":292,"path":293,"parent_code":294},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":179,"locked":14,"version":34,"method":35,"evidence":297},{"candidates":298,"agricultural_evidence":41},[299,303,308,314,320,326,330],{"code":63,"score":187,"supported":41,"title":300,"abstract":301,"tags":302},[26],[26],[26],{"code":177,"score":17,"supported":41,"title":304,"abstract":306,"tags":307},[305],"rural development",[],[],{"code":309,"score":40,"supported":41,"title":310,"abstract":311,"tags":313},"C4",[],[312],"饲草",[],{"code":315,"score":40,"supported":41,"title":316,"abstract":317,"tags":319},"F5",[],[318],"农机",[],{"code":321,"score":40,"supported":41,"title":322,"abstract":323,"tags":325},"H6",[],[324],"农业生态",[],{"code":58,"score":21,"supported":14,"title":327,"abstract":328,"tags":329},[],[],[27],{"code":173,"score":21,"supported":14,"title":331,"abstract":332,"tags":333},[],[],[288],[335,336],"数字乡村 数字金融 非农就业 牧户","数字乡村 数字金融","数字乡村数字金融非农就业牧户-791","2026-08-21T00:05:57.571383Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":9,"content":344,"source_name":345,"source_url":9,"published_at":346,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":347,"score_detail":348,"sources":351,"tags":353,"primary_topic":9,"secondary_topics":357,"classification":358,"search_phrases":371,"slug":374,"view_count":88,"doi":9,"paper":9,"created_at":375},418,"金融科技倍增效应:将政府关注转化为中国农业经济的抗风险能力","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-8\u002F20260808082614715.htm","发表于《Finance Research Letters》\u002FarXiv等平台。基于中国地级市面板数据,研究地方政府对金融科技重视程度如何影响农业经济抗风险能力,从而弥补既有文献多从市场层面金融供给(如数字金融普惠、农业保险)出发、对政府推动金融科技发展关注不足的空白。研究框架从政府重视程度入手,分析其对农业经济抗风险能力产生的因果影响,使用地级市而非省级综合指数,体现不同地级市之间政府行为差异。结论指出,地方政府对金融科技的重视程度直接影响各种制度安排,包括数字金融基础设施和银企对接平台,数字乡村发展和保险投资共同提升农业经济抗风险能力。","《Finance Research Letters》：The fintech multiplier: turning government attention into agricultural economic resilience in China\n\n**编辑推荐：**\n\n摘要农业是传统金融服务最不足的领域：抵押品限制和信息不对称使得农业生产者容易受到冲击。本研究探讨了上游层面的政府干预是否能够缓解这些问题。我们通过中国地级市的政府工作报告来衡量地方政府对金融科技的重视程度，并将其与农业经济抗风险能力指标联系起来。那些将金融科技纳入治理议程的城市，\n\n## 摘要\n\n农业是传统金融服务最不足的领域：抵押品限制和信息不对称使得农业生产者容易受到冲击。本研究探讨了上游层面的政府干预是否能够缓解这些问题。我们通过中国地级市的政府工作报告来衡量地方政府对金融科技的重视程度，并将其与农业经济抗风险能力指标联系起来。那些将金融科技纳入治理议程的城市，其农业经济抗风险能力更强：重视程度每增加一个标准差，抗风险能力就会提升约十分之一个标准差；这一效应在工具变量估计和多种稳健性检验中依然成立。证据表明，风险分担是主要作用机制——政府对金融科技的重视推动了农业保险市场的发展，而产业结构升级的作用则相对较弱。在数字金融服务覆盖更广的地区，这一效应更为显著，这说明政府重视与市场化金融之间存在互补关系。因此，政府重视可作为一种政策手段，帮助金融资源惠及那些市场服务不足的领域。\n\n## 引言\n\n农业领域面临较高的风险（Feng等人，2025年）。根据中国应急管理部的数据，2024年的自然灾害影响了9413万人，直接经济损失达4011.1亿元人民币。再加上国际大宗商品市场的波动以及生产成本的上升，农业经济长期处于多重冲击之下。在这种背景下，农业经济的抗风险能力已成为衡量农业可持续发展和国家粮食安全的重要指标。它指的是农业系统在外部冲击面前能够承受干扰、维持核心功能，并实现恢复与结构转型的能力（Holling，1973年；Folke等人，2010年；Martin和Sunley，2015年）。因此，通过更好的风险分担和资源分配来增强农业抗风险能力，已成为一项重要的政策目标（Kramer等人，2022年）。\n\n然而，农业却是传统金融体系服务最不足的领域。农业生产者规模较小，缺乏合格的抵押品，信用记录也不透明（Karlan等人，2014年）。因此，传统的信贷和保险产品长期以来都无法满足农业需求，金融摩擦也限制了农业系统抵御冲击的能力。金融科技相关研究指出，数字金融和替代数据有助于筛选没有信用记录的借款人（Berg等人，2020年），而无现金支付产生的可验证交易记录则降低了小企业的融资门槛和违约风险（Ghosh等人，2026年）。金融科技能够服务于传统银行无法覆盖的客户（Di Maggio和Yao，2021年），还能通过与银行信贷的互补作用提升企业的融资渠道（Beaumont等人，2026年）。这些机制非常适合信息严重不对称的农业领域。除了信贷渠道外，金融科技和数字化转型还与新兴市场中的银行和企业的可持续发展及治理效果有关（Alim和Mansour，2026年；Mansour等人，2026年）。然而，在那些金融摩擦最为严重的农业领域，这类研究却相对较少。最近的一些研究开始从市场角度弥补这一空白：数字乡村发展和保险投资共同提升了农业经济的抗风险能力（Liu等人，2025年），而数字金融则推动了农业的技术升级（Zhu和Gao，2026年）。另一个空白在于，金融科技的本地采用和普及并非纯粹由市场驱动，而是依赖于地方政府的政策和资源支持。地方政府对金融科技的重视程度直接影响着各种制度安排，包括数字金融基础设施和银企对接平台。有证据表明，政府对此的重视程度会影响数字经济的效率（Li和Yue，2025年）。因此，要了解金融科技对农业抗风险能力的影响，就必须从政府重视程度入手。\n\n目前，相关研究尚未就此问题提供系统的证据，存在两个方面的局限。首先，关于农业经济抗风险能力的金融驱动因素的研究多集中在市场层面的金融供给，如数字金融普惠和农业保险（Biagini，2025年；Wang和Zhang，2025年）。很少有研究从更上游的政策制定层面，即政府重视程度出发，来分析政府推动的本地金融科技发展对农业抗风险能力的因果影响。其次，现有研究通常使用省级综合指数来衡量金融发展水平，但这无法体现不同地级市之间政府行为的差异。而地方政府的年度治理议程——政府工作报告，则为识别政府的重视程度提供了可靠依据：报告中与金融科技相关的表述强度是可以量化的，不同城市之间具有可比性，而且还在资源投入之前出现（Li和Yue，2025年）。\n\n鉴于这些不足，本研究利用2011年至2023年中国各地级市的面板数据展开分析。我们通过文本分析从地级市政府工作报告中提取与金融科技相关的词汇频率，进而构建出地方政府对金融科技重视程度的指数。同时，我们还建立了城市层面的农业经济抗风险能力指数，以研究政府对金融科技的重视程度对其抗风险能力的影响及其作用机制。研究得出三个结论：首先，地方政府对金融科技的重视程度显著提升了农业经济的抗风险能力，且这一结果在多种稳健性检验中依然成立。其次，风险分担是主要作用机制——政府对金融科技的重视程度提升了农业保险的普及率，而产业结构升级的作用则相对较弱。第三，当数字金融服务的覆盖范围更广时，这一效应会更加明显，尤其体现在数字金融的覆盖度和使用率方面。此外，异质性分析表明，这一效应在不同类型的城市中都有体现，并非仅限于少数城市。\n\n本研究在三个方面丰富了相关文献。首先，它拓展了关于农业经济抗风险能力决定因素的研究视角。现有研究多关注数字金融普惠和农业保险等市场层面的金融工具对农业抗风险能力的影响（Biagini，2025年；Wang和Zhang，2025年），而本研究则从地方政府重视程度这一角度揭示了金融科技提升农业抗风险能力的机制，为理解转型经济体中政府、金融与农业之间的传导链条提供了新证据。其次，在测量方法上，我们通过分析地级市政府工作报告的文本内容来构建金融科技重视程度指标，这一方法避免了以往测量方法的两个缺陷：省级综合指数无法反映省内的差异，而事后的金融发展指标也无法区分政策意图与市场结果。这样一来，基于文本的分析方法也被引入了农业金融研究领域（Li和Yue，2025年）。第三，我们发现了通过农业保险普及实现风险分担的机制。金融科技相关研究强调技术在缓解信息不对称中的作用（Berg等人，2020年；Ghosh等人，2026年），而农业抗风险能力研究则侧重于保险的收入平滑功能（Biagini，2025年）。我们通过研究表明，政府对金融科技的重视是通过完善农业保险市场来提升农业经济抗风险能力的。\n\n## 章节节选\n\n## 理论分析与假设\n\n这一分析基于三个核心要素。基于重视程度的观点解释了上游机制：一个组织关注什么，就会决定如何配置资源（Ocasio，1997年）。信贷配给理论则解释了其中的摩擦：信息不对称导致那些缺乏抵押品和可验证信用记录的借款人难以获得贷款（Stiglitz和Weiss，1981年）。风险管理理论则说明了下游机制：市场保险能够在不同自然状态下平滑收入，从而补充自我保护措施（Ehrlich）\n\n## 样本与数据\n\n我们根据北京大学数字金融普惠指数的可得性，构建了2011年至2023年间278个中国地级市的面板数据。地方政府对金融科技的重视程度是通过从政府门户网站和官方公报中收集的地级市政府工作报告来确定的；农业产出、行业附加值以及控制变量则来自《中国城市统计年鉴》和各省年鉴；农业保险保费数据则来自《中国保险年鉴》\n\n## 基准结果\n\n表2展示了逐步加入控制变量后的基准估计结果。在所有四列中，金融科技重视程度的系数均为正，且在1%的水平上显著，而且随着控制变量的加入，其数值保持稳定，这说明该估计结果并非由其他相关遗漏变量所导致。在第四列中，重视程度每增加一个标准差（7.33个单位），农业经济抗风险能力就会提升0.14，约为一个标准差的十分之一，对于单一政策渠道而言，这一效应相当显著。\n\n## 结论\n\n提升农业抗风险能力关乎一个社会如何组织风险分担和资本配置。本研究指出了金融与农业研究领域中被忽视的一个关键主体——那些重视金融科技发展的地方政府。当一个地级市将金融科技纳入治理议程后，其农业经济就能更好地抵御各类冲击。这一效应相当显著：即使在排除省内差异的条件下，这一效应依然存在，而且并非\n\n## 作者声明\n\n我们声明，本手稿为原创内容，未曾发表过，也未被其他机构考虑发表。\n\n我们确认，所有署名作者均已阅读并同意本手稿的内容，也没有其他符合作者资格但未列入名单的人士。同时，我们也确认手稿中作者的排序已得到所有人的认可。\n\n## 资金支持\n\n本研究得到了“农村建设与农村治理指标体系研究项目”以及“‘十五’规划时期农村发展目标”项目（项目编号GXZC2024-C3-005884-JZZB）、“广西自然科学基金联合专项”：‘数据要素与人工智能技术协同推动广西制造业培育新质生产力的机制研究’（项目编号2025JJH180035）的支持。\n\n## CRediT作者贡献说明\n\n**陆琪：**概念设计、数据整理、形式分析、方法论、软件应用、验证、初稿撰写。**文军：**资金筹集、项目管理、资源协调、修改润色。**朱天奇：**数据收集、初稿撰写、修改润色。**曹金华：**资金筹集、监督指导、修改润色。\n\n陆琪|文军|朱天奇|曹金华\n\n广西大学农村与区域发展研究院，中国南宁市530004","Finance Research Letters 2026-08-08","2026-08-08T00:00:00Z",82,{"impact":100,"substance":156,"depth":349,"authority":157,"freshness":40,"relevant":21,"comment":350},19,"核心期刊论文，研究地方政府金融科技重视度对农业抗风险能力的影响，方法新颖，数据详实，但时效性稍差。",[352],{"name":345,"url":342},[26,354,355,27,356],"金融科技","农业抗风险","政府关注",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":359},{"candidates":360,"agricultural_evidence":41,"reason":370},[361,366],{"code":58,"score":241,"supported":41,"title":362,"abstract":363,"tags":365},[],[364],"农业保险",[27],{"code":63,"score":241,"supported":41,"title":367,"abstract":368,"tags":369},[],[26],[26],"多个产业证据相当，需要确认主归属",[372,373],"农业抗风险 政府关注 数字乡村 数字金融","农业抗风险 政府关注","农业抗风险政府关注数字乡村数字金融-418","2026-08-11T23:57:03.260961Z",{"id":377,"title":378,"url":379,"summary":380,"summary_zh":381,"content":9,"source_name":287,"source_url":379,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":97,"score_detail":382,"sources":384,"tags":386,"primary_topic":391,"secondary_topics":392,"classification":393,"search_phrases":416,"slug":419,"view_count":72,"doi":420,"paper":421,"created_at":437},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。",{"impact":99,"substance":100,"depth":99,"authority":20,"freshness":101,"relevant":21,"comment":383},"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。",[385],{"name":287,"url":379},[26,387,388,389,390],"数字素养","共同富裕","农民收入","收入不平等",{"code":63,"slug":291,"name":292,"path":293,"parent_code":294},[],{"status":179,"locked":14,"version":34,"method":35,"evidence":394},{"candidates":395,"agricultural_evidence":41},[396,401,407,411],{"code":63,"score":17,"supported":41,"title":397,"abstract":398,"tags":400},[],[26,399],"digital village",[26,387],{"code":173,"score":88,"supported":41,"title":402,"abstract":403,"tags":406},[],[404,405],"农户收入","rural income",[],{"code":177,"score":40,"supported":41,"title":408,"abstract":409,"tags":410},[],[305],[],{"code":412,"score":21,"supported":14,"title":413,"abstract":414,"tags":415},"G4",[],[],[388],[417,418],"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":420,"openalex_id":422,"authors":423,"venue":287,"cited_by_count":72,"oa_url":379,"card":432,"direction":83,"ingested_from":85},"W7223105459",[424,427,430],{"name":425,"orcid":426},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":428,"orcid":429},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":431,"orcid":9},"Fangping Cao",{"tldr":433,"method":434,"finding":435,"direction":83,"opportunity":436},"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"]