[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-225":3,"related-225":47},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":8,"secondary_topics":32,"classification":33,"search_phrases":41,"slug":44,"view_count":45,"doi":8,"paper":8,"created_at":46},225,"评估中国宽带乡村试点项目对农村居民消费模式的影响","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fjournal\u002F14779552","以2014年中国西部宽带乡村试点项目作为外生冲击,利用中国家庭金融调查数据,采用双重差分模型评估高速互联网基础设施与农村消费之间的联系。研究发现:宽带乡村项目启动导致基本需求和非必需品的消费支出均显著增加,有助于推动中国西部地区农村消费并间接促进经济增长;消费刺激效应受信息关注程度调节;项目对年轻消费者和流动性约束严重的家庭带来了不成比例的受益。",null,"![Image 1: Icon for onlinelibrary.wiley.com](https:\u002F\u002Fonlinelibrary.wiley.com\u002Ffavicon.ico)\n\n## onlinelibrary.wiley.com\n\n## Performing security verification\n\nThis website uses a security service to protect against malicious bots. This page is displayed while the website verifies you are not a bot.","Journal of Agricultural Economics 2026 vol.77(1)","2026-02-08T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},25,20,18,15,0,1,"核心期刊论文，研究宽带乡村试点对消费模式影响，具有全国性政策意义，但发表于半年前，时效性不足。",[25],{"name":10,"url":6},[27,28,29,30,31],"双重差分","宽带乡村","农村消费","宽带中国","农业经济杂志",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":39,"reason":40},[],true,"缺少足够的主题证据",[42,43],"农业经济杂志 农村消费 双重差分 宽带中国","农业经济杂志 农村消费","农业经济杂志农村消费双重差分宽带中国-225",5,"2026-08-04T23:54:47.762815Z",{"total":48,"page":22,"page_size":48,"items":49},6,[50,125,182,250,313,352],{"id":51,"title":52,"url":53,"summary":54,"summary_zh":55,"content":8,"source_name":56,"source_url":53,"published_at":57,"category":12,"cover_url":8,"hotness":13,"is_selected":39,"score":58,"score_detail":59,"sources":64,"tags":66,"primary_topic":71,"secondary_topics":77,"classification":78,"search_phrases":100,"slug":103,"view_count":21,"doi":104,"paper":105,"created_at":124},5551,"The effect of rural tourism on rural prosperity: evidence from China on agricultural labor productivity, incomes, and household food consumption","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1904226","Policy support in China has disproportionately favored rural tourism as a core pillar of rural revitalization. However, its net effect on agricultural labor productivity, rural income, and household consumption remains empirically untested. This study examines how rural tourism expenditure affects these three dimensions of rural prosperity and evaluates alternative policy instruments to maximize developmental benefits. The analysis employs a dynamic autoregressive distributed lag (ARDL) simulation model using annual Chinese data from 1994 to 2023. The findings reveal that an increase in rural tourism expenditure significantly reduces agricultural labor productivity, rural household income, and rural household consumption in both the short run and the long run. A positive shock to rural tourism expenditure similarly generates a negative response across all three outcomes, with the effects persisting over the forecast horizon. These results suggest that the net effect of rural tourism expansion on rural prosperity is consistently negative, challenging the conventional assumption that rural tourism serves as an unconditional driver of rural development. The findings call for conditional tourism subsidies, complementary investments in agricultural capital, and spatially differentiated rural development policies that safeguard agricultural livelihoods while permitting tourism to develop only where it does not displace farming.","中国的政策支持过度倾向于将乡村旅游作为乡村振兴的核心支柱。然而，其对农业劳动生产率、农村收入和家庭消费的净效应尚未得到实证检验。本研究考察乡村旅游支出如何影响农村繁荣的这三个维度，并评估替代性政策工具以最大化发展效益。分析采用动态自回归分布滞后（ARDL）模拟模型，使用1994年至2023年的中国年度数据。研究发现，乡村旅游支出的增加在短期和长期均显著降低农业劳动生产率、农村家庭收入和农村家庭消费。乡村旅游支出的正向冲击同样对上述三项结果产生负向响应，且效应在预测期内持续存在。这些结果表明，乡村旅游扩张对农村繁荣的净效应始终为负，挑战了乡村旅游无条件作为农村发展驱动力的传统假设。研究结果呼吁实施有条件的旅游补贴、对农业资本进行配套投资，以及空间差异化的农村发展政策，在保障农业生计的同时，仅允许旅游业在不挤占农业的地区发展。","Frontiers in Sustainable Food Systems","2026-10-21T00:00:00Z",87,{"impact":60,"substance":61,"depth":19,"authority":62,"freshness":13,"relevant":22,"comment":63},22,23,14,"基于1994—2023年中国数据的ARDL实证发现，乡村旅游扩张对农业劳动生产率、农户收入与消费的净效应持续为负，对无条件扶持乡村旅游的政策假设构成有力挑战，值得进入每日精选。",[65],{"name":56,"url":53},[67,29,68,69,70],"乡村振兴","乡村旅游","农户收入","农业劳动生产率",{"code":72,"slug":73,"name":74,"path":75,"parent_code":76},"G4","rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",[],{"status":79,"locked":14,"version":35,"method":36,"evidence":80},"classified",{"candidates":81,"agricultural_evidence":39},[82,87,93],{"code":72,"score":20,"supported":39,"title":83,"abstract":85,"tags":86},[84],"rural tourism",[68,84],[68],{"code":76,"score":13,"supported":39,"title":88,"abstract":89,"tags":92},[],[67,90,91],"农村发展","rural development",[67],{"code":94,"score":95,"supported":39,"title":96,"abstract":97,"tags":99},"G6",4,[],[98],"rural income",[69],[101,102],"乡村旅游 农业劳动生产率 农户收入","乡村旅游 ARDL 农村消费","乡村旅游农业劳动生产率农户收入-5551","10.3389\u002Ffsufs.2026.1904226",{"doi":104,"openalex_id":106,"authors":107,"venue":56,"cited_by_count":21,"oa_url":116,"card":117,"direction":121,"ingested_from":123},"W7223149969",[108,111,113],{"name":109,"orcid":110},"Jin Liu","https:\u002F\u002Forcid.org\u002F0000-0001-7654-255X",{"name":112,"orcid":8},"Betelhemabraham Geremew",{"name":114,"orcid":115},"Meseret C. Abate","https:\u002F\u002Forcid.org\u002F0000-0002-6486-5607","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1904226\u002Fpdf",{"tldr":118,"method":119,"finding":120,"direction":121,"opportunity":122},"用中国1994-2023年数据检验乡村旅游支出对农业劳动生产率、农村收入与消费的净效应。","动态自回归分布滞后（ARDL）模拟模型，1994-2023年中国年度数据。","乡村旅游支出增加在短期和长期均显著降低农业劳动生产率、农村家庭收入与消费。","数字乡村与农业信息化","可结合县域面板与空间异质性，量化旅游与农业的挤出效应并识别有条件补贴的适用边界。","openalex","2026-10-22T11:20:16.227845Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":8,"content":8,"source_name":130,"source_url":8,"published_at":8,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":131,"sources":134,"tags":136,"primary_topic":141,"secondary_topics":147,"classification":148,"search_phrases":168,"slug":171,"view_count":21,"doi":8,"paper":172,"created_at":181},5360,"国家农业绿色发展试点区对农业碳排放的影响:基于 284 城市 2013-2023 年面板数据","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37540958","研究基于 284 个城市 2013—2023 年面板数据,以国家农业绿色发展试点区(NAGDPZ)为准自然实验,采用双重差分法(DID)系统评估政策对农业碳排放的影响。研究发现:(1)NAGDPZ 政策显著降低农业碳排放,系数为 -0.008(10% 显著);(2)机制分析表明减排效应主要通过农业生产效率提升、数字普惠金融发展和农村创新创业推动;(3)异质性分析显示南方、非粮食主产区、农业金融支持水平较高地区的碳减排效应更显著,系数分别为 -0.008、-.016、-0.015。","《中国环境科学》46(1):555-567 2026",{"impact":60,"substance":60,"depth":19,"authority":62,"freshness":132,"relevant":22,"comment":133},2,"基于284城市十年面板数据的政策评估，方法规范、结论有新意，但发表时间较早、时效性弱，适合作为研究型精选而非快讯。",[135],{"name":130,"url":128},[137,138,27,139,140],"农业绿色发展","数字普惠金融","农业碳排放","绿色试点区",{"code":142,"slug":143,"name":144,"path":145,"parent_code":146},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":79,"locked":14,"version":35,"method":36,"evidence":149},{"candidates":150,"agricultural_evidence":39},[151,158,163],{"code":142,"score":152,"supported":39,"title":153,"abstract":156,"tags":157},24,[154,155],"碳排放","农业碳",[154,155],[139,137],{"code":159,"score":22,"supported":14,"title":160,"abstract":161,"tags":162},"G3",[],[],[138],{"code":164,"score":22,"supported":14,"title":165,"abstract":166,"tags":167},"H8",[],[],[137],[169,170],"国家农业绿色发展试点区 农业碳排放","284城市 面板数据 碳减排","国家农业绿色发展试点区农业碳排放-5360",{"doi":8,"openalex_id":8,"authors":173,"venue":8,"cited_by_count":21,"oa_url":8,"card":174,"direction":178,"ingested_from":180},[],{"tldr":175,"method":176,"finding":177,"direction":178,"opportunity":179},"基于284城市面板数据，用DID评估国家农业绿色发展试点区对农业碳排放的影响。","284城市2013-2023年面板数据，双重差分法（DID）准自然实验。","试点区政策显著降低农业碳排放，主要通过生产效率、数字普惠金融和农村创新创业实现。","农业绿色发展与碳","可探究数字普惠金融与绿色试点政策的协同减排机制，及非粮食主产区的差异化政策设计。","agent","2026-10-20T02:47:54.150914Z",{"id":183,"title":184,"url":185,"summary":186,"summary_zh":187,"content":8,"source_name":56,"source_url":185,"published_at":188,"category":12,"cover_url":8,"hotness":13,"is_selected":39,"score":189,"score_detail":190,"sources":193,"tags":195,"primary_topic":200,"secondary_topics":205,"classification":206,"search_phrases":225,"slug":228,"view_count":132,"doi":229,"paper":230,"created_at":249},4331,"Does rural land transfer promote high-quality agriculture development? Empirical evidence from 30 provinces in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1940003","As a fundamental pathway toward agricultural-scale operations, rural land transfer (RLT) has emerged as an important institutional mechanism for promoting high-quality agricultural development (HQAD). However, how to effectively unleash the productive potential of land resources and align RLT with the objectives of high-quality development remains an important research question. Treating the 2010 national regulatory intensification of rural land transfer as a common policy milestone, this study employs a continuous difference-in-differences (DID) model and a mediating effect model to examine the relationship between RLT intensity and HQAD and to explore the potential transmission role of new agricultural business entities (NABE). The results show that the overall level of HQAD in China has steadily improved, although substantial spatial and temporal disparities remain, with HQAD generally decreasing from the eastern to the central and western regions. The continuous DID estimates indicate a significant positive association between RLT intensity and HQAD after the 2010 national regulatory-intensification milestone, and this relationship remains stable across the reported robustness checks. The mediation analysis provides evidence consistent with a potential transmission pathway through new agricultural business entities (NABE). Furthermore, the estimated association between RLT intensity and HQAD is stronger in the central region and in non-major grain-producing areas.","作为农业规模化经营的基础路径，农地流转(rural land transfer, RLT)已成为推动农业高质量发展(high-quality agricultural development, HQAD)的重要制度安排。然而，如何有效释放土地资源的生产潜力，使农地流转与高质量发展目标相契合，仍是一个重要的研究问题。本研究以2010年国家加强农地流转监管为共同政策节点，采用连续型双重差分(continuous difference-in-differences, DID)模型和中介效应模型，考察农地流转强度与农业高质量发展之间的关系，并探讨新型农业经营主体(new agricultural business entities, NABE)可能的中介传导作用。结果表明，中国农业高质量发展总体水平稳步提升，但仍存在显著的空间和时间差异，农业高质量发展水平总体呈东、中、西部递减态势。连续型双重差分估计表明，在2010年国家加强监管这一政策节点之后，农地流转强度与农业高质量发展之间存在显著正相关关系，且该关系在各项稳健性检验中保持稳定。中介分析提供了与新型农业经营主体潜在传导路径相一致的证据。此外，农地流转强度与农业高质量发展之间的估计关联在中部地区和非粮食主产区更强。","2026-10-06T00:00:00Z",81,{"impact":19,"substance":60,"depth":19,"authority":62,"freshness":191,"relevant":22,"comment":192},9,"基于30省面板数据的连续DID实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业动态，适合主题聚合而非头条精选。",[194],{"name":56,"url":185},[196,197,198,27,199],"农业高质量发展","新型农业经营主体","粮食主产区","土地流转",{"code":201,"slug":202,"name":203,"path":204,"parent_code":76},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":79,"locked":14,"version":35,"method":36,"evidence":207},{"candidates":208,"agricultural_evidence":39},[209,215,220],{"code":201,"score":210,"supported":39,"title":211,"abstract":213,"tags":214},13,[212],"land transfer",[212],[199,197],{"code":216,"score":22,"supported":14,"title":217,"abstract":218,"tags":219},"A8",[],[],[198],{"code":221,"score":22,"supported":14,"title":222,"abstract":223,"tags":224},"J2",[],[],[196],[226,227],"农村土地流转 农业高质量发展","新型农业经营主体 中介效应","农村土地流转农业高质量发展-4331","10.3389\u002Ffsufs.2026.1940003",{"doi":229,"openalex_id":231,"authors":232,"venue":56,"cited_by_count":21,"oa_url":243,"card":244,"direction":121,"ingested_from":123},"W7220726312",[233,235,237,239,241],{"name":234,"orcid":8},"Tian Tian",{"name":236,"orcid":8},"Jiawei Yang",{"name":238,"orcid":8},"Tong Yu",{"name":240,"orcid":8},"李孟然",{"name":242,"orcid":8},"Zhen Xie","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1940003\u002Fpdf",{"tldr":245,"method":246,"finding":247,"direction":121,"opportunity":248},"用连续DID和中介模型检验农村土地流转对农业高质量发展的影响及新型经营主体的中介作用。","2010年政策节点，连续DID与中介效应模型，中国30省面板数据。","土地流转显著促进农业高质量发展，新型经营主体起中介作用，中西部及非主产区效应更强。","可结合数字技术或信息化服务，探究土地流转通过新型经营主体推动农业高质量发展的数字化路径。","2026-10-07T23:30:06.424093Z",{"id":251,"title":252,"url":253,"summary":254,"summary_zh":8,"content":8,"source_name":255,"source_url":8,"published_at":256,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":257,"score_detail":258,"sources":261,"tags":263,"primary_topic":268,"secondary_topics":274,"classification":275,"search_phrases":300,"slug":303,"view_count":95,"doi":304,"paper":305,"created_at":312},4198,"促进农业技术创新的数字力量——基于数字乡村建设视角","https:\u002F\u002Fnyxdhyj.isa.ac.cn\u002Farticle\u002Fdoi\u002F10.13872\u002Fj.1000-0275.2025.1035","黄建碧、马春艳、李睿琪、熊航（华中农业大学经济管理学院\u002F数字农业研究院）。发表于《农业现代化研究》2026年第47卷第2期325-338页。从数字乡村建设视角系统分析其对农业技术创新的促进作用，基于数字乡村试点数据构建多维评价指标体系，结合双重差分模型与机制检验考察数字乡村建设对农业技术创新的影响路径与作用机理。研究发现数字乡村建设通过促进农业科技创新要素集聚、提升农业科技创新效率、推动农业科技创新成果转化等机制显著促进农业技术创新。得到国家自然科学基金项目(72173050)、教育部哲学社会科学研究重大专项(2024JZDZ060)资助。","农业现代化研究2026, 47(2)","2026-09-01T00:00:00Z",75,{"impact":19,"substance":60,"depth":19,"authority":62,"freshness":259,"relevant":22,"comment":260},3,"核心期刊论文，方法规范、结论明确，但发表已逾一月，时效性偏弱，适合主题聚合而非每日精选。",[262],{"name":255,"url":253},[264,27,265,266,267],"数字乡村","农业技术创新","华中农业大学","国家自然科学基金",{"code":269,"slug":270,"name":271,"path":272,"parent_code":273},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":79,"locked":14,"version":35,"method":36,"evidence":276},{"candidates":277,"agricultural_evidence":39},[278,283,289,295],{"code":269,"score":279,"supported":39,"title":280,"abstract":281,"tags":282},12,[264],[264],[264],{"code":284,"score":259,"supported":39,"title":285,"abstract":286,"tags":288},"G1",[],[287],"成果转化",[],{"code":290,"score":259,"supported":39,"title":291,"abstract":292,"tags":294},"I1",[],[293],"数字农业",[],{"code":221,"score":259,"supported":39,"title":296,"abstract":297,"tags":299},[],[298],"农业现代化",[],[301,302],"华中农业大学 数字乡村 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China（数据转化为可持续性：中国农业大数据政策、资本构成与农村生态环境可持续性）","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9478","湖南第一师范学院马克思主义学院 Zhumiao Wang 等联合吉林大学、韩国圆光大学在《Sustainability》18(18): 9478 发表论文（2026-09-16 发表）。农村环境退化是分散的、监测薄弱的、难以治理的，是可持续发展目标（SDGs）最持久的障碍之一。以 2010-2024 年中国 271 个城市面板数据为基础，以 2016 年农业农村大数据政策（ABDP）试点为\"准自然实验\"，采用交错双重差分（DID）设计估计政策对农村生态环境可持续性（RES）的效应。结果显示 ABDP 使 RES 提升 0.0015 个指数点（相当于样本均值 2.91%、分布 6.8 个百分位点）；效应规模取决于政策所面临的资本存量：随农业机械化（AM）上升而下降并在高机械化水平下变得不显著，随数字资本（DC）上升而上升；田间\"做什么\"的资本替代信息，向田间\"传递信息\"的资本补充信息。增益集中在生产—环境维度。","MDPI 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