[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-119":3,"related-119":63},{"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":33,"primary_topic":8,"secondary_topics":37,"classification":38,"search_phrases":56,"slug":59,"view_count":60,"doi":61,"paper":8,"created_at":62},119,"数智技术赋能农业高质量发展：现状、挑战及路径探索","https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002","何磊磊等系统分析数智技术赋能农业高质量发展的现状、挑战及路径,提出数智技术与农业农村深度融合的发展模式与制度设计。",null,"欢迎您访问《智慧农业（中英文）》官方网站！[English](https:\u002F\u002Fwww.smartag.net.cn\u002FEN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 1](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 2](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fbanner_mobile.png)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n\n[![Image 3](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002F2096-8094\u002Fimages\u002Fyyzkj.png)](https:\u002F\u002Fpano.bookan.com.cn\u002F?id=60704&cid=352)\n\nToggle navigation[智慧农业](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002)\n\n*   [网站首页](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F2096-8094\u002Fhome.shtml)\n*   [期刊介绍](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn133.shtml)\n*   [编委会](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn153.shtml)\n*   [投稿指南](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn135.shtml)\n*   [期刊服务](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn124.shtml)\n*   [下载中心](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn126.shtml)\n*   [联系我们](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fcolumn\u002Fcolumn127.shtml)\n\n[Smart Agriculture](https:\u002F\u002Fwww.smartag.net.cn\u002F) ›› [2026](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026), [Vol. 8](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FshowTenYearVolumnDetail.do?nian=2026) ›› [Issue (3)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fvolumn\u002Fvolumn_841.shtml): 13-25.doi: [10.12133\u002Fj.smartag.SA202602002](https:\u002F\u002Fdoi.org\u002F10.12133\u002Fj.smartag.SA202602002)\n\n• 专刊--数字技术赋能与农业经济范式转型 •[上一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22803.shtml)[下一篇](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Fabstract\u002Fabstract22680.shtml)\n\n### 数智技术赋能农业高质量发展：现状、挑战及路径探索\n\n何磊磊 1,3, 蒋淑吉 1, 杨军 2([![Image 4](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:yangjunUIBE@163.com))\n\n1.   1. 对外经济贸易大学国际经济贸易学院，北京 100029，中国\n\n2. 对外经济贸易大学数字经济实验室，北京 100029，中国\n\n3. 云南省跨境数字经济重点实验室，云南 650214，中国\n\n*   `收稿日期:`2026-01-31 `出版日期:`2026-05-30 \n*   `基金项目:`国家自然科学基金项目(72404007) \n*   `作者简介:`何磊磊，博士，研究方向为数字经济、农产品贸易和智慧农业。E-mail：[hll_stones@126.com](mailto:hll_stones@126.com) \n*   `通信作者:`杨 军，博士，教授，研究方向为国际贸易、发展经济学、一般均衡模型理论与应用。E-mail：[yangjunUIBE@163.com](mailto:yangjunUIBE@163.com) \n\n### Digital-Intelligent Technologies Empowering High-Quality Agricultural Development: Current Status, Challenges, and Pathways\n\nHE Leilei 1,3, JIANG Shuji 1, YANG Jun 2([![Image 5](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Femail.png)](mailto:yangjunUIBE@163.com))\n\n1.   1. School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China\n\n2. Digital Economy Laboratory, University of International Business and Economics, Beijing 100029, China\n\n3. Yunnan Key Laboratory of Cross-border Digital Economy, Yunnan 650214, China\n\n*   `Received:`2026-01-31 `Online:`2026-05-30 \n*   `Foundation items:`National Natural Science Foundation of China(72404007) \n*   `About author:`HE Leilei, E-mail: [hll_stones@126.com](mailto:hll_stones@126.com) \n*   `Corresponding author:`YANG Jun, E-mail: [yangjunUIBE@163.com](mailto:yangjunUIBE@163.com) \n\n## [在线阅读 18](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)\n\n## [知网下载](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002)\n\n## [本地下载 35](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#1)\n\n[_![Image 6](https:\u002F\u002Fwww.smartag.net.cn\u002Fimages\u002Fknowledge\\_map1.png)_ ## 可视化 0](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Flexeme\u002FshowArticleByLexeme.do?articleID=22763)\n\n#### [摘要\u002FAbstract](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002)\n\n**摘要：**\n\n**【目的\u002F意义】** 数智技术作为数字技术与智能技术融合的产物，是推动农业高质量发展、培育农业新质生产力的关键驱动力。本文旨在系统分析数智技术赋能农业高质量发展的内在逻辑、现实进展与主要挑战，并探索其推进路径，以期为实现农业现代化转型提供理论参考与实践依据。 **【进展】** 基于改造传统农业理论与农业技术扩散理论，对数智技术赋能农业高质量发展的深层逻辑进行剖析，并以此为基础，系统梳理了数智技术在生产环节、要素配置、管理服务与供应链体系中的实践应用。分析发现，当前数智技术正从局部单点应用向整体系统集成转变，持续推动农业向精准化、数据化、智能化转型。然而，仍面临核心技术瓶颈、产业生态碎片化、数据治理与安全挑战、技术推广普及困难、人才支撑体系薄弱及区域发展不平衡等问题，共同制约了数智技术在农业中的规模化与深层次应用。 **【结论\u002F展望】** 推进数智技术赋能农业高质量发展需坚持系统思维，实施技术攻关、产业生态构建、数据治理、模式创新与人才培养等多路径协同。未来应聚焦关键核心技术研发与场景适配，加快构建标准化、开放化的技术生态；完善数据权属、流通与安全治理体系；创新可持续的商业模式与政策支持机制；强化多层次数字农业人才队伍建设；并注重区域差异化协同策略。通过多方联动与政策集成，推动数智技术从典型示范走向全面普及，为农业现代化注入新动能。\n\n**关键词:**[数智技术,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[智慧农业,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[农业转型,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[农业高质量发展,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[新质生产力,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[数字技术,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[智能技术](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)\n\n**Abstract:**\n\n**[Significance]** As an integration of digital and intelligent technologies, digital-intelligent technology serves as the core engine for agricultural goals. In the current era of digitalization and intelligence, rapid technological iteration and the expansion of application scenarios reinforce each other. Therefore, leveraging digital-intelligent technology to empower agriculture is a strategic necessity to align with the digital age trends and fully realize the new connotations of smart agriculture. Specifically, driven by data as a new production factor, digital-intelligent technology is profoundly optimizing the entire agricultural production and management process. The main objective of this study is to systematically analyze the underlying operational logic of how digital-intelligent technology enables high-quality agricultural development, comprehensively review its current application progress, objectively identify the main challenges, and actively explore practical pathways for advancement. **[Progress]** Based on the theory of transforming traditional agriculture and the theory of agricultural technology diffusion, this paper analyzes the underlying logic of how digital-intelligent technologies empower high-quality agricultural development. Building upon this foundation, it systematically reviews the practical applications of digital-intelligent technologies in production processes, factor allocation, management services, and supply chain systems, and reveals a clear staged evolutionary feature across domains. As described below: (1) Production processes: Evolution from single-point efficiency gains to closed-loop, whole-process intelligent decision-making. (2) Factor allocation: Shift from reliance on traditional physical resources to deep value mining of data. (3) Management services: Transition from fragmented tool applications to integrated, platform-based services. (4) Supply chain systems: Evolution from a linear chain structure to a collaborative and resilient network ecosystem. Despite this progress, it still faces challenges such as core technology bottlenecks, fragmented industrial ecosystems, data governance and security issues, difficulties in technology promotion and adoption, a weak talent support system, and uneven regional development. These challenges stem not only from the limitations of the technological development stage but also from structural contradictions such as a weak industrial foundation, complex application scenarios, and inadequate systemic coordination. Together, these factors block the large-scale adoption and full value realization of digital-intelligent technology in agriculture. **[Conclusions and Prospects]** To promote high-quality agriculture development empowered by digital-intelligent technology, it is necessary to adhere to systematic thinking and implement a multi-path coordinated strategy. The key focuses for future work are as follows: (1) Focus on the independent RD of key core technologies and carry out adaptive innovation for specific agricultural scenarios. (2) Accelerate the construction of a standardized, open, and interconnected technology and industrial ecosystem. (3) Establish and improve a data governance system covering data ownership definition, circulation and transaction, and security protection. (4) Explore sustainable business models and precise and effective policy support mechanisms. (5) Strengthen the cultivation of a multi - tiered digital agriculture talent pool involving RD, application, and promotion. (6) Implement regionally differentiated and coordinated development strategies according to local conditions. Through multi-stakeholder collaboration among governments, industries, research institutions and market entities, as well as integrated policy support, digital-intelligent technology will be promoted to transform from \"potted landscape\" style isolated demonstrations to \"open landscape\" style large-scale popularization and deep integration. This will inject a stronger and more sustainable digital-intelligent driving force into Chinese-style agricultural modernization and high-quality agricultural development.\n\n**Key words:**[digital-intelligent technology,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[smart agriculture,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[agricultural transformation,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[high-quality agricultural development,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[new quality productive forces,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[digital technology,](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)[intelligent technology](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)\n\n**中图分类号:**\n\n*   [TP399](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)\n\n*   [F323](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#)\n\n#### 引用本文\n\n何磊磊, 蒋淑吉, 杨军. 数智技术赋能农业高质量发展：现状、挑战及路径探索[J]. 智慧农业(中英文), 2026, 8(3): 13-25.\n\nHE Leilei, JIANG Shuji, YANG Jun. Digital-Intelligent Technologies Empowering High-Quality Agricultural Development: Current Status, Challenges, and Pathways[J]. Smart Agriculture, 2026, 8(3): 13-25.\n\n#### 使用本文\n\n**[[收藏文章](javascript:;)](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002#) \u002F[推荐](javascript:void(null))**\n**导出引用管理器**[EndNote](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=EndNote&id=22763)|[Ris](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=Ris&id=22763)|[BibTeX](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002Farticle\u002FgetTxtFile.do?fileType=BibTeX&id=22763)\n\n**链接本文:**[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002)\n\n[https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F13](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002FY2026\u002FV8\u002FI3\u002F13)\n\n[](https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202602002)\n#### [参考文献 64](javascript:;)\n\n[1]赵春江, 李瑾, 冯献. 面向2035年智慧农业发展战略研究[J]. 中国工程科学, 2021, 23(4): 1-9.\nZHAO C J, LI J, FENG X. 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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",74,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":123},"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。",[125],{"name":120,"url":118},[127,128,35,129,130],"数字乡村","农民增收","面板数据","粮食新质生产力",{"code":132,"slug":133,"name":134,"path":135,"parent_code":136},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":139,"locked":14,"version":40,"method":41,"evidence":140},"classified",{"candidates":141,"agricultural_evidence":54},[142,147,154,158],{"code":132,"score":143,"supported":54,"title":144,"abstract":145,"tags":146},12,[128],[128],[128],{"code":148,"score":149,"supported":54,"title":150,"abstract":151,"tags":153},"G1",3,[],[152],"成果转化",[],{"code":45,"score":22,"supported":14,"title":155,"abstract":156,"tags":157},[],[],[35],{"code":91,"score":22,"supported":14,"title":159,"abstract":160,"tags":161},[],[],[127],[163,164],"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":167,"venue":8,"cited_by_count":103,"oa_url":8,"card":168,"direction":111,"ingested_from":113},[],{"tldr":169,"method":170,"finding":171,"direction":111,"opportunity":172},"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":175,"title":176,"url":177,"summary":178,"summary_zh":8,"content":8,"source_name":179,"source_url":8,"published_at":180,"category":12,"cover_url":8,"hotness":60,"is_selected":14,"score":181,"score_detail":182,"sources":185,"tags":187,"primary_topic":8,"secondary_topics":190,"classification":191,"search_phrases":207,"slug":210,"view_count":103,"doi":211,"paper":212,"created_at":219},5300,"张捷\u002F李林飞《中国林业经济》:数字经济政策对农业高质量发展的影响研究——基于国家大数据综合试验区的准自然实验","https:\u002F\u002Fzglyjj.nefu.edu.cn\u002Farticle\u002Fdoi\u002F10.13691\u002Fj.cnki.cn23-1539\u002Ff.2026.04.001","东北林业大学经济管理学院张捷、李林飞基于2011-2023年中国31个省级行政区面板数据,以国家大数据综合试验区建设为准自然实验,运用多期双重差分模型评估数字经济政策对农业高质量发展的影响;研究发现数字经济政策显著促进农业高质量发展且具滞后性和累积性;对本地区农业高质量发展具显著正向直接效应,但对其他地区产生负向空间溢出,呈现\"本地促进、外部抑制\"特征;非粮食主产区估计效应相对更强。","中国林业经济(2026,4)","2026-10-15T00:00:00Z",80,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":183,"relevant":22,"comment":184},8,"基于31省面板数据与国家大数据综合试验区的准自然实验，方法规范、结论有政策参考价值，但属学术论文且非时效热点，可入精选备选。",[186],{"name":179,"url":177},[82,34,188,189],"空间溢出","大数据试验区",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":192},{"candidates":193,"agricultural_evidence":54,"reason":55},[194,199,203],{"code":195,"score":22,"supported":14,"title":196,"abstract":197,"tags":198},"I4",[],[],[188],{"code":91,"score":22,"supported":14,"title":200,"abstract":201,"tags":202},[],[],[82],{"code":50,"score":22,"supported":14,"title":204,"abstract":205,"tags":206},[],[],[34],[208,209],"国家大数据综合试验区 农业高质量发展","数字经济政策 双重差分","国家大数据综合试验区农业高质量发展-5300","10.13691\u002Fj.cnki.cn23-1539\u002Ff.2026.04.001",{"doi":211,"openalex_id":8,"authors":213,"venue":8,"cited_by_count":103,"oa_url":8,"card":214,"direction":111,"ingested_from":113},[],{"tldr":215,"method":216,"finding":217,"direction":111,"opportunity":218},"用多期DID评估国家大数据综合试验区对农业高质量发展的影响。","2011-2023年31省面板数据，多期双重差分模型。","政策显著促进本地农业高质量发展，但对其他地区有负向空间溢出。","可探究政策负向溢出的机制与跨区协同路径，及非粮食主产区的差异化政策设计。","2026-10-19T00:07:48.514777Z",{"id":221,"title":222,"url":223,"summary":224,"summary_zh":225,"content":8,"source_name":226,"source_url":223,"published_at":227,"category":12,"cover_url":8,"hotness":60,"is_selected":54,"score":228,"score_detail":229,"sources":231,"tags":233,"primary_topic":238,"secondary_topics":243,"classification":244,"search_phrases":262,"slug":265,"view_count":21,"doi":266,"paper":267,"created_at":287},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。","Frontiers in Sustainable Food Systems","2026-10-06T00:00:00Z",81,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":77,"relevant":22,"comment":230},"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。",[232],{"name":226,"url":223},[34,234,235,236,237],"新型农业经营主体","粮食主产区","双重差分","土地流转",{"code":239,"slug":240,"name":241,"path":242,"parent_code":136},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":139,"locked":14,"version":40,"method":41,"evidence":245},{"candidates":246,"agricultural_evidence":54},[247,253,258],{"code":239,"score":248,"supported":54,"title":249,"abstract":251,"tags":252},13,[250],"land transfer",[250],[237,234],{"code":254,"score":22,"supported":14,"title":255,"abstract":256,"tags":257},"A8",[],[],[235],{"code":50,"score":22,"supported":14,"title":259,"abstract":260,"tags":261},[],[],[34],[263,264],"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":266,"openalex_id":268,"authors":269,"venue":226,"cited_by_count":103,"oa_url":280,"card":281,"direction":111,"ingested_from":286},"W7220726312",[270,272,274,276,278],{"name":271,"orcid":8},"Tian Tian",{"name":273,"orcid":8},"Jiawei Yang",{"name":275,"orcid":8},"Tong Yu",{"name":277,"orcid":8},"李孟然",{"name":279,"orcid":8},"Zhen Xie","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1940003\u002Fpdf",{"tldr":282,"method":283,"finding":284,"direction":111,"opportunity":285},"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。","openalex","2026-10-07T23:30:06.424093Z",{"id":289,"title":290,"url":291,"summary":292,"summary_zh":8,"content":8,"source_name":293,"source_url":8,"published_at":294,"category":12,"cover_url":8,"hotness":60,"is_selected":14,"score":295,"score_detail":296,"sources":299,"tags":301,"primary_topic":305,"secondary_topics":310,"classification":311,"search_phrases":327,"slug":330,"view_count":21,"doi":8,"paper":331,"created_at":338},3450,"《数智技术赋能农业新质生产力：内在机理、驱动要素与实现进路》","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjianghuailuntan\u002Fmulu\u002F678750.html","孙壮珍从数智技术赋能农业新质生产力内在机理入手，分析数智技术赋能农业新质生产力驱动要素，并从主体-组织-制度全域视角提出通过构建利益导向机制、培育新型载体平台、推进制度调适的实现进路。文章认为农业新质生产力有高度的渗透性与广泛的链接性，能够进一步拓展农业的生产空间与效率边界，变革农业生产的工艺、技术与流程，加速我国农业强国建设的进程。","《江淮论坛》\u002F西南科技大学","2026-09-20T00:00:00Z",75,{"impact":19,"substance":17,"depth":297,"authority":20,"freshness":64,"relevant":22,"comment":298},17,"核心期刊论文，从机理、要素到实现进路系统论述数智技术赋能农业新质生产力，理论增量明确，但属学术探讨而非政策落地，时效性一般。",[300],{"name":293,"url":291},[127,302,303,304,35],"智慧农业","农业新质生产力","农业强国",{"code":50,"slug":306,"name":307,"path":308,"parent_code":309},"modernization","农业强国与现代化","\u002Ftopic\u002Fpolicy\u002Fmodernization","J",[],{"status":139,"locked":14,"version":40,"method":41,"evidence":312},{"candidates":313,"agricultural_evidence":54},[314,319,323],{"code":50,"score":315,"supported":54,"title":316,"abstract":317,"tags":318},5,[],[304],[304,303],{"code":45,"score":21,"supported":14,"title":320,"abstract":321,"tags":322},[],[],[35,302],{"code":91,"score":22,"supported":14,"title":324,"abstract":325,"tags":326},[],[],[127],[328,329],"数智技术 农业新质生产力","江淮论坛 农业新质生产力","数智技术农业新质生产力-3450",{"doi":8,"openalex_id":8,"authors":332,"venue":8,"cited_by_count":103,"oa_url":8,"card":333,"direction":111,"ingested_from":113},[],{"tldr":334,"method":335,"finding":336,"direction":111,"opportunity":337},"分析数智技术赋能农业新质生产力的内在机理、驱动要素与实现进路。","理论分析，从主体-组织-制度全域视角提出机制、平台与制度调适路径。","农业新质生产力具高渗透性与广链接性，可拓展生产空间与效率边界，加速农业强国建设。","可实证检验数智技术赋能农业新质生产力的机制与制度调适效果，弥补纯理论分析不足。","2026-09-25T00:09:34.845621Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":8,"content":8,"source_name":344,"source_url":8,"published_at":294,"category":12,"cover_url":8,"hotness":60,"is_selected":14,"score":228,"score_detail":345,"sources":347,"tags":349,"primary_topic":8,"secondary_topics":351,"classification":352,"search_phrases":363,"slug":366,"view_count":149,"doi":8,"paper":367,"created_at":374},3436,"《数字经济赋能农业高质量发展的实证分析》——基于2012—2022年省级面板数据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F174646.html","耿俊婷、徐梓钦、张朝辉基于2012—2022年省级面板数据，运用熵值法测算数字经济、农业新质生产力并用SBM-GML模型测算农业高质量发展，使用双向固定效应模型、中介效应模型等方法探究数字经济对农业高质量发展的影响及农业新质生产力的作用机制。研究发现：数字经济在推动农业实现高质量发展方面具有显著的正向效应且存在显著的时间异质性；农业新质生产力是数字经济赋能农业迈向高质量发展阶段的重要机制；在粮食主销区和产销平衡区存在显著正向影响。","《河南农业大学学报》2026年第2期",{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":77,"relevant":22,"comment":346},"基于2012—2022年省级面板数据的实证研究，方法规范、结论有新意，对数字乡村与农业高质量发展政策制定有参考价值。",[348],{"name":344,"url":342},[127,303,82,34,350],"省级面板数据",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":353},{"candidates":354,"agricultural_evidence":54,"reason":55},[355,359],{"code":91,"score":21,"supported":14,"title":356,"abstract":357,"tags":358},[],[],[127,82],{"code":50,"score":21,"supported":14,"title":360,"abstract":361,"tags":362},[],[],[303,34],[364,365],"数字经济 农业高质量发展","农业新质生产力 中介效应","数字经济农业高质量发展-3436",{"doi":8,"openalex_id":8,"authors":368,"venue":8,"cited_by_count":103,"oa_url":8,"card":369,"direction":111,"ingested_from":113},[],{"tldr":370,"method":371,"finding":372,"direction":111,"opportunity":373},"基于2012—2022年省级面板数据，实证检验数字经济对农业高质量发展的影响及作用机制。","熵值法测度数字经济与农业新质生产力，SBM-GML测度农业高质量发展，双向固定效","数字经济显著正向促进农业高质量发展且具时间异质性，农业新质生产力为重要中介机制，效应在粮食主销区和产","可细化数字经济子维度（如数字基础设施、电商）对农业高质量发展的差异化路径，并补充微观农户或县域层面证据。","2026-09-25T00:09:33.774119Z"]