[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3338":3,"related-3338":74},{"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":24,"tags":26,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":51,"slug":54,"view_count":55,"doi":56,"paper":57,"created_at":73},3338,"Public education investment and agricultural structural transformation: evidence from prefecture-level cities in China's grain-producing provinces","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1942783","The decline of agriculture's relative output weight as non-farm sectors expand is a defining regularity of development, yet its local public-investment correlates within a single economy remain unclear. This study relates local public education-investment intensity—annual education expenditure over city gross domestic product (GDP), a spending flow rather than a human-capital stock—to agricultural structural transformation in 172 prefecture-level cities across China's 13 major grain-producing provinces, using two-way fixed-effects models that compare each city with itself over time. The primary-sector output share is the direct measure of intersectoral composition (3,249 city-year observations, 2005–2023); primary value added per registered resident is a complementary scale outcome that avoids the shared GDP denominator (3,080 observations, 2005–2022). On the share margin the association is negative in the reference specification but not robust, changing sign when city-specific trends and lagged controls are imposed jointly. On the scale margin it is negative in every control set examined, including lagged controls and city trends, and placebo fiscal ratios do not reproduce it; it is nevertheless indistinguishable from zero under province-by-year fixed effects and 13-province few-cluster inference. The three sector-share estimates form an accounting decomposition whose receiving-sector sign reverses across specifications, so no services-led claim is made. All estimates are conditional within-city associations, not causal effects. For grain-producing regions, they motivate coordinating education budgets with agricultural productivity and capacity safeguards rather than reading a falling primary-sector share as modernization.","农业相对产出比重的下降是非农部门扩张过程中的一个典型发展规律，但其在单一经济体内部与地方公共投资的关联仍不明确。本研究将地方公共教育投资强度——即年度教育支出占城市国内生产总值（GDP）的比重，这是一种支出流量而非人力资本存量——与中国13个粮食主产省172个地级市的农业结构转型相联系，采用双向固定效应模型对每个城市进行自身随时间变化的比较。第一产业产出份额是部门间构成的直接度量（2005—2023年，3,249个城市—年份观测值）；按户籍居民计算的第一产业增加值是一个互补性的规模结果变量，可避免使用共同的GDP分母（2005—2022年，3,080个观测值）。在份额边际上，基准设定中的关联为负但不稳健，当同时加入城市特定趋势和滞后控制变量后符号发生改变。在规模边际上，在所有考察的控制变量组合中——包括滞后控制变量和城市趋势——关联均为负，且安慰剂财政比率无法重现该结果；然而在省份—年份固定效应和13省少数聚类推断下，该关联与零无法区分。三个部门份额估计构成一个核算分解，其接收部门的符号在不同设定间发生反转，因此不提出服务业主导的论断。所有估计均为城市内部的条件关联，而非因果效应。对于粮食主产区而言，这些结果提示应将教育预算与农业生产率和产能保障相协调，而非将第一产业份额下降解读为现代化。",null,"Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,9,1,"基于172个地级市2005—2023年面板数据的实证研究，方法规范、结论审慎，对粮食主产区教育投入与农业结构转型的协调具有参考价值，但属学术论文、影响面偏细分领域。",[25],{"name":10,"url":6},[27,28,29,30,31],"县域经济","粮食主产区","农业经济研究","农业结构转型","教育投入",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":49,"reason":50},[39,44],{"code":40,"score":22,"supported":14,"title":41,"abstract":42,"tags":43},"A8",[],[],[28],{"code":45,"score":22,"supported":14,"title":46,"abstract":47,"tags":48},"G4",[],[],[27],true,"缺少足够的主题证据",[52,53],"粮食主产区 地级市 教育投入","农业结构转型 主产区 面板数据","粮食主产区地级市教育投入-3338",4,"10.3389\u002Ffsufs.2026.1942783",{"doi":56,"openalex_id":58,"authors":59,"venue":10,"cited_by_count":65,"oa_url":6,"card":66,"direction":70,"ingested_from":72},"W7214101078",[60,62],{"name":61,"orcid":9},"Kewen Hou",{"name":63,"orcid":64},"Xiuzhi Wang","https:\u002F\u002Forcid.org\u002F0000-0002-3770-3231",0,{"tldr":67,"method":68,"finding":69,"direction":70,"opportunity":71},"研究中国13个粮食主产省172个地级市教育投入强度与农业结构转型的关联。","双向固定效应模型，2005-2023年地级市面板数据，教育支出占GDP比重。","教育投入与农业产出份额关联不稳健，与人均农业增加值负相关但非因果。","数字乡村与农业信息化","可探究教育投入通过人力资本与数字技术采纳影响农业转型的机制，并做因果识别。","openalex","2026-09-24T23:30:07.572572Z",{"total":75,"page":22,"page_size":75,"items":76},6,[77,180,251,299,340,388],{"id":78,"title":79,"url":80,"summary":81,"summary_zh":9,"content":82,"source_name":83,"source_url":9,"published_at":84,"category":85,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":86,"sources":90,"tags":92,"primary_topic":97,"secondary_topics":102,"classification":108,"search_phrases":175,"slug":178,"view_count":65,"doi":9,"paper":9,"created_at":179},5499,"辽宁省印发「十五五」县域经济高质量发展规划 建设22个单产提升整建制县","https:\u002F\u002Fwww.ln.gov.cn\u002Fweb\u002Fzwgkx\u002Fzfwj\u002Fszfbgtwj\u002F2026n\u002F2026101915441826587\u002Findex.shtml","规划要求农产品主产区县域深入实施新一轮千亿斤粮食产能提升行动，建设18个玉米单产提升整建制推进县、2个大豆与2个水稻整建制推进县。同时提出大力发展智慧农业，推广先进适用农机装备，稳步推进沿海盐碱地与辽西风沙地综合利用，构建「省级品牌+区域公用品牌+企业品牌」体系并提升特色农产品电商化率。","（十三）推进基础设施补短板。积极融入全省“六张网”建设，找准节点位置，打通基础设施“最后一公里”，提升县域安全韧性、产业要素、市场流通保障能力。融入全省水网建设格局，重点推动盘山、开原等灌区现代化改造，全面提升县域供水安全、粮食安全等保障能力，到2030年，农村自来水普及率达到98%。融入全省新型电网建设格局，重点推进康平、瓦房店等新型储能项目建设实施，提高城乡供电可靠性和防灾抗灾水平。实施县城老旧管网更新改造，统筹城乡防洪排涝，高质量推进城市更新，推进宜居县城建设，开展县城体检。健全县乡村三级物流配送体系，加强地邮协作，打造集中共配型县级客货邮综合服务中心、兼具中转和末端服务的乡镇客货邮综合服务站、“一站式”村级客货邮综合服务点，建有村级寄递物流综合服务站的建制村比例达到90%。实施新一轮农村公路提升行动，实现乡镇100%通双车道，建制村100%通等级路，农村公路铺装率达到98%。加快“双千兆”网络向农村延伸，缩小城乡数字基础设施差距，加快县城、乡镇和有条件的行政村接入网络10G-PON提质升级改造。加快建设提升一批农产品产地冷藏保鲜设施、农产品冷链仓储、农副产品批发市场，持续补齐农产品仓储物流产销等县域消费基础设施短板。\n\n（十四）加快推进基本公共服务均等化。强化中心镇和重点镇公共服务节点功能，引导公共服务直达基层末梢。落实县域普通高中振兴行动计划，到2030年，支持50所以上县域普通高中改善办学条件、提升办学质量，新建续建12所县域普通高中。根据人口变化统筹教育资源，优化农村学校布局，提高农村教育质量，加快城乡义务教育学校标准化建设。持续提升县级医院综合能力，深化紧密型县域医共体建设，提高乡镇卫生院基本医疗卫生服务水平。推进生育支持政策和激励措施落实，有效降低家庭生育养育教育成本，加强妇女和儿童健康服务。加强乡镇区域养老服务中心能力建设，探索村级邻里互助点、农村幸福院等农村互助性养老模式。深化农村移风易俗，提高社会文明程度，鼓励争创县级全国文明城市。","辽宁省人民政府 2026-10-19","2026-10-19T00:00:00Z","政策",{"impact":18,"substance":87,"depth":17,"authority":88,"freshness":75,"relevant":22,"comment":89},20,14,"省级十五五县域经济规划，含单产提升整建制县、数字基础设施与物流体系等具体条款，政策信息增量足，值得精选。",[91],{"name":83,"url":80},[93,94,95,27,96],"数字乡村","十五五规划","单产提升","农村物流",{"code":40,"slug":98,"name":99,"path":100,"parent_code":101},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[103],{"code":45,"slug":104,"name":105,"path":106,"parent_code":107},"rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",{"status":109,"locked":14,"version":35,"method":36,"evidence":110},"classified",{"candidates":111,"agricultural_evidence":49},[112,118,122,129,135,141,147,153,159,165,170],{"code":40,"score":113,"supported":49,"title":114,"abstract":115,"tags":117},15,[95],[95,116],"粮食产能",[95],{"code":45,"score":21,"supported":49,"title":119,"abstract":120,"tags":121},[27],[],[27],{"code":123,"score":124,"supported":49,"title":125,"abstract":126,"tags":128},"A1",3,[],[127],"水稻",[],{"code":130,"score":124,"supported":49,"title":131,"abstract":132,"tags":134},"A3",[],[133],"玉米",[],{"code":136,"score":124,"supported":49,"title":137,"abstract":138,"tags":140},"A4",[],[139],"大豆",[],{"code":142,"score":124,"supported":49,"title":143,"abstract":144,"tags":146},"E5",[],[145],"农产品电商",[],{"code":148,"score":124,"supported":49,"title":149,"abstract":150,"tags":152},"F5",[],[151],"农机",[],{"code":154,"score":124,"supported":49,"title":155,"abstract":156,"tags":158},"H2",[],[157],"盐碱地",[],{"code":160,"score":124,"supported":49,"title":161,"abstract":162,"tags":164},"I1",[],[163],"智慧农业",[],{"code":166,"score":22,"supported":14,"title":167,"abstract":168,"tags":169},"I6",[],[],[93],{"code":171,"score":22,"supported":14,"title":172,"abstract":173,"tags":174},"J1",[],[],[94],[176,177],"辽宁 十五五 县域经济","单产提升 整建制县","辽宁十五五县域经济-5499","2026-10-22T00:06:58.183119Z",{"id":181,"title":182,"url":183,"summary":184,"summary_zh":185,"content":9,"source_name":10,"source_url":183,"published_at":186,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":187,"score_detail":188,"sources":191,"tags":193,"primary_topic":197,"secondary_topics":202,"classification":203,"search_phrases":232,"slug":235,"view_count":65,"doi":236,"paper":237,"created_at":250},5469,"How institutional digitalization reshapes entrepreneurial activity in new agricultural business forms: quasi-natural experimental evidence from China's Digital Village Pilot Policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1946061","New agricultural business forms are a key driving force for developing countries to overcome the constraints of traditional agriculture and achieve sustainability in food systems. However, it remains unclear whether institutional digitalization can effectively stimulate entrepreneurial vitality in new agricultural business forms. This study develops a theoretical framework of “opportunity creation–opportunity identification–opportunity transformation” and treats China's Digital Village Pilot Policy (DVPP), implemented in 2020, as a quasi-natural experiment. Based on panel data from 1,743 counties in China from 2014 to 2023, this study employs Double Machine Learning (DML) and Spatial Durbin Difference-in-Differences (SDM-DID) models, among other methods, to systematically identify the impact, transmission mechanisms, heterogeneous effects, and spatial spillover effects of institutional digitalization on Entrepreneurial Activity in New Agricultural Business Forms (EANA). The results reveal that: (1) DVPP significantly enhances EANA, and this finding remains robust after a series of tests, including placebo tests, Propensity Score Matching–Difference-in-Differences (PSM-DID), Synthetic Control Method–Difference-in-Differences (SCM-DID), and instrumental variable (IV) estimation; (2) agricultural technological innovation, digital infrastructure development, and digital financial development serve as mediating mechanisms; (3) the policy effects are more pronounced in counties with higher levels of digital access, better-developed transportation infrastructure, and higher levels of digital financial development, exhibiting a pattern of Central > Western > Eastern regions, and are significantly stronger in areas with advantages in characteristic agricultural products; (4) DVPP generates a significant negative spatial spillover effect on EANA in neighboring counties. This study expands theoretical understanding of the relationship between institutional digitalization and entrepreneurship in new agricultural business forms and provides empirical evidence for China and other developing countries to optimize digital rural development and foster new agricultural business forms.","农业新业态是发展中国家突破传统农业约束、实现食物系统可持续发展的关键驱动力。然而，制度数字化能否有效激发农业新业态的创业活力仍不明确。本研究构建了“机会创造—机会识别—机会转化”的理论框架，并将中国2020年实施的数字乡村试点政策（Digital Village Pilot Policy，DVPP）视为准自然实验。基于中国1743个县2014—2023年的面板数据，本研究采用双重机器学习（Double Machine Learning，DML）和空间杜宾双重差分（Spatial Durbin Difference-in-Differences，SDM-DID）等模型，系统识别制度数字化对农业新业态创业活动（Entrepreneurial Activity in New Agricultural Business Forms，EANA）的影响、传导机制、异质性效应和空间溢出效应。结果表明：（1）DVPP显著提升了EANA，且该结论在经过安慰剂检验、倾向得分匹配—双重差分（PSM-DID）、合成控制法—双重差分（SCM-DID）和工具变量（IV）估计等一系列检验后依然稳健；（2）农业技术创新、数字基础设施建设和数字金融发展发挥中介机制作用；（3）政策效应在数字接入水平较高、交通基础设施较完善和数字金融发展水平较高的县更为显著，呈现出中部>西部>东部的格局，且在特色农产品优势区显著更强；（4）DVPP对邻近县的EANA产生显著的负向空间溢出效应。本研究拓展了关于制度数字化与农业新业态创业之间关系的理论认识，为中国及其他发展中国家优化数字乡村发展、培育农业新业态提供了经验证据。","2026-10-20T00:00:00Z",85,{"impact":18,"substance":189,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":190},23,"基于1743个县面板数据的准自然实验，方法扎实、结论有政策参考价值，值得进入每日精选。",[192],{"name":10,"url":183},[194,93,27,195,196],"数字农业","农业政策","农村创业",{"code":166,"slug":198,"name":199,"path":200,"parent_code":201},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":109,"locked":14,"version":35,"method":36,"evidence":204},{"candidates":205,"agricultural_evidence":49},[206,211,218,223,228],{"code":166,"score":113,"supported":49,"title":207,"abstract":209,"tags":210},[208],"digital village",[93,208],[93],{"code":212,"score":75,"supported":49,"title":213,"abstract":214,"tags":217},"I2",[],[215,216],"机器学习","machine learning",[],{"code":107,"score":124,"supported":49,"title":219,"abstract":220,"tags":222},[],[221],"rural development",[],{"code":45,"score":224,"supported":14,"title":225,"abstract":226,"tags":227},2,[],[],[196,27],{"code":160,"score":22,"supported":14,"title":229,"abstract":230,"tags":231},[],[],[194],[233,234],"数字乡村试点 新农业业态","DVPP 农村创业","数字乡村试点新农业业态-5469","10.3389\u002Ffsufs.2026.1946061",{"doi":236,"openalex_id":238,"authors":239,"venue":10,"cited_by_count":65,"oa_url":183,"card":245,"direction":70,"ingested_from":72},"W7223041086",[240,242],{"name":241,"orcid":9},"Su Li",{"name":243,"orcid":244},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":246,"method":247,"finding":248,"direction":70,"opportunity":249},"用双重机器学习与空间DID评估数字乡村试点政策对新农业业态创业活力的影响。","基于1743县2014-2023面板数据，用DML与SDM-DID做准自然实验。","试点政策显著提升新农业业态创业，经技术创新、数字基建与数字金融中介，并对邻县有负向溢出。","可探究政策负向空间溢出的形成机制及跨县协同激励设计，避免创业资源虹吸。","2026-10-21T23:30:07.205317Z",{"id":252,"title":253,"url":254,"summary":255,"summary_zh":9,"content":9,"source_name":256,"source_url":9,"published_at":84,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":257,"score_detail":258,"sources":261,"tags":263,"primary_topic":266,"secondary_topics":267,"classification":268,"search_phrases":285,"slug":288,"view_count":65,"doi":289,"paper":290,"created_at":298},5459,"数字乡村建设对农业能源韧性的影响研究 (Research on the Impact of Digital Village Construction on Agricultural Energy Resilience)","https:\u002F\u002Fdoi.org\u002F10.13872\u002Fj.1000-0275.2026.0997","基于2011—2024年30个省份面板数据，三维构建农业能源韧性指标，双向固定效应、中介与门槛模型检验。数字乡村显著提升农业能源韧性，农业社会化服务部分中介，呈单一门槛。粮食主产区与主销区显著。属网络首发。","农业现代化研究（网络首发）2026-10-19",80,{"impact":19,"substance":18,"depth":19,"authority":88,"freshness":259,"relevant":22,"comment":260},8,"基于30省14年面板数据的网络首发论文，方法规范、结论有新意，但属学术细分议题，公共影响有限，可作精选备选。",[262],{"name":256,"url":254},[93,28,264,265],"农业社会化服务","农业能源韧性",{"code":166,"slug":198,"name":199,"path":200,"parent_code":201},[],{"status":109,"locked":14,"version":35,"method":36,"evidence":269},{"candidates":270,"agricultural_evidence":49},[271,275,281],{"code":166,"score":87,"supported":49,"title":272,"abstract":273,"tags":274},[93,208],[93],[93],{"code":276,"score":55,"supported":49,"title":277,"abstract":278,"tags":280},"G2",[],[279],"社会化服务",[264],{"code":40,"score":22,"supported":14,"title":282,"abstract":283,"tags":284},[],[],[28],[286,287],"数字乡村 农业能源韧性","农业社会化服务 中介效应","数字乡村农业能源韧性-5459","10.13872\u002Fj.1000-0275.2026.0997",{"doi":289,"openalex_id":9,"authors":291,"venue":9,"cited_by_count":65,"oa_url":9,"card":292,"direction":70,"ingested_from":297},[],{"tldr":293,"method":294,"finding":295,"direction":70,"opportunity":296},"基于30省面板数据，检验数字乡村建设对农业能源韧性的提升作用。","2011—2024年30省面板数据，三维构建韧性指标，双向固定效应、中介与门槛模","数字乡村显著提升农业能源韧性，农业社会化服务部分中介，存在单一门槛，主产区与主销区显著。","可延伸研究数字乡村影响农业能源韧性的区域异质机制及社会化服务之外的中介路径。","agent","2026-10-21T00:10:08.067176Z",{"id":300,"title":301,"url":302,"summary":303,"summary_zh":9,"content":9,"source_name":304,"source_url":9,"published_at":186,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":305,"score_detail":306,"sources":309,"tags":311,"primary_topic":9,"secondary_topics":315,"classification":316,"search_phrases":327,"slug":330,"view_count":65,"doi":331,"paper":332,"created_at":339},5456,"数字赋能农业产业韧性的影响与机制研究——基于浙江省县域面板数据的实证分析 (Impact and Mechanism of Digital Development on Agricultural Resilience: Evidence from County-Level Data in Zhejiang Province)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.034","基于2014—2022年浙江省县域面板数据，用系统GMM检验数字经济对农业产业韧性的影响。数字经济有效赋能农业产业韧性，农村产业融合、涉农科技创新、农业产业化为重要传导机制。非山区县促进作用明显高于山区县。","中国农机化学报 2026-10-20",79,{"impact":19,"substance":18,"depth":307,"authority":20,"freshness":21,"relevant":22,"comment":308},17,"基于浙江县域面板数据的实证研究，方法规范、结论有新意，对数字乡村与农业韧性议题有参考价值，但属省级实证、影响范围有限。",[310],{"name":304,"url":302},[93,312,27,313,314],"农业经济韧性","农村产业融合","涉农科技",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":317},{"candidates":318,"agricultural_evidence":49,"reason":50},[319,323],{"code":45,"score":224,"supported":14,"title":320,"abstract":321,"tags":322},[],[],[313,27],{"code":166,"score":22,"supported":14,"title":324,"abstract":325,"tags":326},[],[],[93],[328,329],"浙江省 县域面板 农业韧性","数字经济 农业产业韧性","浙江省县域面板农业韧性-5456","10.13733\u002Fj.jcam.issn.2095-5553.2026.10.034",{"doi":331,"openalex_id":9,"authors":333,"venue":9,"cited_by_count":65,"oa_url":9,"card":334,"direction":70,"ingested_from":297},[],{"tldr":335,"method":336,"finding":337,"direction":70,"opportunity":338},"基于浙江县域面板数据，实证检验数字经济对农业产业韧性的赋能作用与机制。","2014—2022年浙江省县域面板数据，系统GMM估计。","数字经济显著提升农业产业韧性，农村产业融合、涉农科技创新、农业产业化是传导机制，非山区县效应更强。","可探究山区县数字赋能效应偏弱的成因与差异化路径，或拓展至跨省县域比较与韧性多维测度。","2026-10-21T00:10:07.870102Z",{"id":341,"title":342,"url":343,"summary":344,"summary_zh":345,"content":9,"source_name":10,"source_url":343,"published_at":84,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":346,"score_detail":347,"sources":350,"tags":352,"primary_topic":9,"secondary_topics":357,"classification":358,"search_phrases":370,"slug":373,"view_count":65,"doi":374,"paper":375,"created_at":387},5369,"Return-home entrepreneurship and rural economic resilience: evidence from China's National pilot program","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1961226","We study whether policies that encourage migrants to return home and start businesses strengthen rural economies. We treat China's national return-home entrepreneurship pilot, introduced in cohorts in 2016 and 2017, as a quasi-natural experiment and assemble an unbalanced panel of 2,097 counties, county-level cities, and urban districts from 1999 to 2023. A staggered difference-in-differences design indicates that pilot designation is positively associated with a principal-component index of rural economic resilience capacity and that the estimated effect emerges with a lag. The joint test of all pretreatment coefficients does not reject equality to zero at the 5% level, although it is marginal at the 10% level; a negative pooled long-lead estimate therefore continues to warrant caution. Alternative staggered-adoption estimators, resilience indices that exclude development-oriented components, a sample restricted through 2021, and a complete-case regression using only original non-interpolated observations all remain positive. Channel regressions show that the pilot raises the secondary- and tertiary-sector share and the China Rural Agriculture-Related Innovation Index, although these patterns do not establish causal mediation. Digital financial inclusion is not robust to county and year fixed effects. Formal between-group tests indicate significant regional and poverty-status differences, but not significant grain-production or labor-export differences; Hypothesis IV is therefore only partially supported. The national pilot ended in 2021, but return-home entrepreneurship policy continued through institutionalized support and nationwide promotion of the pilot experience. Accordingly, estimates after 2021 capture the persistent differential associated with earlier pilot designation in an environment of policy continuation and diffusion. Overall, the evidence is consistent with human-capital return and factor reallocation strengthening observed dimensions associated with rural economic resilience capacity, while the pooled long lead and the reduced coverage of the raw complete-case sample remain important qualifications.","我们研究鼓励流动人口返乡创业的政策是否增强了农村经济。我们将中国于2016年和2017年分批推出的全国返乡创业试点视为一项准自然实验，并构建了1999年至2023年涵盖2，097个县、县级市和市辖区的不平衡面板数据。交错双重差分设计表明，试点认定与农村经济韧性能力的主成分指数呈正相关，且估计效应存在滞后。对所有处理前系数的联合检验在5%水平上不能拒绝其等于零，尽管在10%水平上处于边缘显著；因此，合并的长期领先估计为负仍需谨慎对待。替代性交错采纳估计量、剔除发展导向成分的韧性指数、截至2021年的限制样本，以及仅使用原始非插值观测的完整案例回归，结果均保持为正。渠道回归显示，试点提高了第二产业和第三产业占比以及中国农村农业相关创新指数，尽管这些模式并不能确立因果中介效应。数字普惠金融在控制县和年份固定效应后不稳健。正式的组间检验表明，区域和贫困状况差异显著，但粮食生产或劳动力输出差异不显著；因此假设IV仅得到部分支持。全国试点于2021年结束，但返乡创业政策通过制度化支持和试点经验的全国推广得以延续。据此，2021年之后的估计捕捉的是在政策延续和扩散环境下与早期试点认定相关的持续性差异。总体而言，证据与人力资本回流和要素再配置强化农村经济韧性能力相关观测维度相一致，但合并的长期领先估计和原始完整案例样本覆盖范围缩小仍是重要的限定条件。",82,{"impact":18,"substance":348,"depth":19,"authority":20,"freshness":259,"relevant":22,"comment":349},21,"基于2097个县域面板数据的准自然实验，评估返乡创业试点对乡村经济韧性的滞后正向效应，方法规范、结论审慎，属三农政策研究前沿，值得精选。",[351],{"name":10,"url":343},[27,353,354,355,356],"数字普惠金融","政策评估","返乡创业","乡村经济韧性",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":359},{"candidates":360,"agricultural_evidence":49,"reason":50},[361,366],{"code":362,"score":22,"supported":14,"title":363,"abstract":364,"tags":365},"G3",[],[],[353],{"code":45,"score":22,"supported":14,"title":367,"abstract":368,"tags":369},[],[],[27],[371,372],"返乡创业试点 县域经济韧性","返乡创业 准自然实验","返乡创业试点县域经济韧性-5369","10.3389\u002Ffsufs.2026.1961226",{"doi":374,"openalex_id":376,"authors":377,"venue":10,"cited_by_count":65,"oa_url":381,"card":382,"direction":70,"ingested_from":72},"W7222929203",[378],{"name":379,"orcid":380},"Wenyi Zhou","https:\u002F\u002Forcid.org\u002F0009-0002-3482-0755","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1961226\u002Fpdf",{"tldr":383,"method":384,"finding":385,"direction":70,"opportunity":386},"评估返乡创业试点政策是否增强中国县域农村经济韧性。","以2016-2017分批试点为准自然实验，用交错DID分析2097个县1999-","试点与农村经济韧性指数正相关且存在滞后效应，但长期前置估计需谨慎解读。","可结合县域数字化与数字普惠金融数据，检验返乡创业政策与信息化协同对韧性的因果机制。","2026-10-20T23:30:06.585096Z",{"id":389,"title":390,"url":391,"summary":392,"summary_zh":393,"content":9,"source_name":10,"source_url":391,"published_at":394,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":395,"score_detail":396,"sources":399,"tags":401,"primary_topic":406,"secondary_topics":411,"classification":412,"search_phrases":435,"slug":438,"view_count":22,"doi":439,"paper":440,"created_at":452},4793,"Geographical indication adoption and county employment dynamics in China: stacked DID evidence on rural-urban and regional heterogeneity","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1967743","Geographical indications (GIs) are widely promoted as place-based institutions that can strengthen rural economies. Yet existing evidence is mixed on whether GI benefits translate into broad-based local employment gains, and whether impacts differ across regions with unequal market access and factor mobility. Using a county-year panel for China spanning 2000–2023 and three overlapping GI channels (protected products, agricultural GI registration, and trademark registration), we estimate dynamic employment responses to GI adoption with stacked difference-in-differences designs that address staggered treatment timing. Rural employment rates rise following GI adoption and remain higher several years after designation, whereas urban employment effects are smaller and more heterogeneous. Macro-regional analyses indicate that rural gains are concentrated in Western China, while Central China exhibits weak or negative rural responses at longer horizons. For urban employment, estimates are imprecise in the East and Central regions and turn negative in the West at 5-year horizons. Province-level results reinforce substantial heterogeneity but are sensitive to treated support and inference limitations. The findings clarify when and where GIs function as effective rural development instruments and motivate more place-sensitive GI governance that complements certification with market access, processing capacity, and local labor demand.","地理标志（geographical indications, GIs）被广泛推崇为能够增强农村经济的地方性制度。然而，现有证据对于地理标志收益能否转化为广泛的本地就业增长，以及其影响在不同市场准入和要素流动性不均的地区之间是否存在差异，仍莫衷一是。本文使用涵盖2000—2023年中国县级面板数据以及三个相互重叠的地理标志渠道（受保护产品、农产品地理标志登记和商标注册），通过堆叠双重差分设计解决处理时间交错问题，估计地理标志采纳的动态就业响应。地理标志采纳后，农村就业率上升，且在认定数年后仍保持较高水平，而城镇就业效应较小且更具异质性。宏观区域分析表明，农村收益集中在中国西部，而中部地区在较长时期内的农村响应较弱甚至为负。对于城镇就业，东部和中部地区的估计不精确，西部地区在5年期限上转为负值。省级层面的结果印证了显著的异质性，但对处理组支持情况和推断局限性较为敏感。本文的发现厘清了地理标志在何时、何地能够作为有效的农村发展工具发挥作用，并推动更具地方敏感性的地理标志治理，将认证与市场准入、加工能力和本地劳动力需求相配套。","2026-10-12T00:00:00Z",81,{"impact":19,"substance":18,"depth":397,"authority":20,"freshness":21,"relevant":22,"comment":398},19,"基于2000—2023年县域面板与堆叠DID方法，揭示地理标志对农村就业的异质性影响，方法扎实、结论有政策参考价值，但属学术论文而非即时资讯。",[400],{"name":10,"url":391},[402,27,403,404,405],"乡村振兴","地理标志","区域差异","农村就业",{"code":142,"slug":407,"name":408,"path":409,"parent_code":410},"branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","E",[],{"status":109,"locked":14,"version":35,"method":36,"evidence":413},{"candidates":414,"agricultural_evidence":49},[415,421,425,431],{"code":107,"score":416,"supported":49,"title":417,"abstract":418,"tags":420},7,[],[419,221],"农村发展",[402],{"code":142,"score":55,"supported":49,"title":422,"abstract":423,"tags":424},[],[403],[403],{"code":426,"score":124,"supported":49,"title":427,"abstract":428,"tags":430},"I4",[],[429],"GIS",[],{"code":45,"score":22,"supported":14,"title":432,"abstract":433,"tags":434},[],[],[27],[436,437],"地理标志 县域就业 中国","乡村振兴 农村就业 区域差异 县域经济","地理标志县域就业中国-4793","10.3389\u002Ffsufs.2026.1967743",{"doi":439,"openalex_id":441,"authors":442,"venue":10,"cited_by_count":65,"oa_url":391,"card":447,"direction":70,"ingested_from":72},"W7221548155",[443,445],{"name":444,"orcid":9},"Yingju Zhang",{"name":446,"orcid":9},"Jumin Zhao",{"tldr":448,"method":449,"finding":450,"direction":70,"opportunity":451},"用堆叠DID评估中国地理标志采纳对县域城乡就业的动态影响及区域异质性。","2000-2023年县域面板数据，三种GI渠道，堆叠双重差分法。","GI采纳后农村就业率上升且持续，城市效应较小；西部农村增益集中，中部长期偏弱。","可探究GI与数字市场接入、加工能力协同如何放大农村就业效应，并关注中部负向机制。","2026-10-13T23:30:06.923434Z"]