[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3341":3,"related-3341":50},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":49},3341,"How the twin transition shapes green technological innovation in agricultural enterprises: evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1893349","Introduction The twin transition is reshaping innovation patterns across industries, yet evidence on its effects in agriculture remains scarce despite the sector’s critical role in global food security and climate mitigation. Methods This study investigates how the twin transition influences green technological innovation in Chinese A-share agricultural listed enterprises from 2015 to 2024, drawing on a panel dataset of 860 firms. We measure the coupling coordination degree of digital and green transformation and estimate fixed effects models to examine both the direct effect and the underlying mechanisms. Results The results show that the twin transition significantly promotes green technological innovation, a finding that is robust to alternative measures and estimation methods. This aggregate effect, however, masks substantial heterogeneity: the innovation-enhancing effect is significant only for midstream processing firms and large enterprises, while it is negligible for upstream and downstream firms and weaker for small enterprises. Mechanism tests identify two mediating pathways. First, the twin transition enhances organizational response agility, enabling firms to sense and react to environmental and market changes more rapidly. Second, it alleviates financing constraints, thereby securing stable resources for long-term green innovation. Discussion These findings contribute to the twin transition literature by extending the empirical domain into agriculture and by specifying the organizational and financial channels through which digital-green coupling promotes innovation. They also provide evidence to inform differentiated policy design for sustainable agricultural development.","引言 双重转型正在重塑各行业的创新模式，但尽管农业在全球粮食安全和气候减缓中发挥着关键作用，关于其影响的证据仍然匮乏。方法 本研究基于860家企业的面板数据集，考察2015至2024年间双重转型如何影响中国A股农业上市企业的绿色技术创新。我们测度了数字化与绿色转型的耦合协调度，并估计固定效应模型以检验直接效应及其内在机制。结果 结果表明，双重转型显著促进了绿色技术创新，这一发现在替代测度和估计方法下依然稳健。然而，这一总体效应掩盖了显著的异质性：创新促进效应仅在中游加工企业和大企业中显著，而对上游和下游企业则可忽略不计，对小型企业也较弱。机制检验识别出两条中介路径。第一，双重转型增强了组织响应敏捷性，使企业能够更迅速地感知和应对环境与市场变化。第二，它缓解了融资约束，从而为长期绿色创新获取稳定资源。讨论 这些发现通过将实证领域拓展至农业，并明确数字化—绿色耦合促进创新的组织与金融渠道，为双重转型文献作出了贡献。它们也为面向可持续农业发展的差异化政策设计提供了依据。",null,"Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,9,1,"基于860家中国农业上市公司面板数据，实证揭示数字化与绿色化协同对绿色技术创新的促进效应及组织敏捷性与融资约束两条中介路径，结论具政策参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字化转型","农业企业","双化协同","绿色技术创新","农业上市公司",[32,33],"农业上市公司 绿色技术创新","数字化转型 绿色转型 耦合协调","农业上市公司绿色技术创新-3341",0,"10.3389\u002Ffsufs.2026.1893349",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":42,"direction":46,"ingested_from":48},"W7214110123",[40],{"name":41,"orcid":9},"Rongwang Guo",{"tldr":43,"method":44,"finding":45,"direction":46,"opportunity":47},"基于860家中国农业上市公司数据，研究数字与绿色双转型如何促进绿色技术创新。","2015-2024年面板数据，测度双转型耦合协调度，用固定效应模型检验机制。","双转型显著促进绿色创新，但仅在中游加工与大型企业显著，通过组织响应敏捷性与缓解融资约束起作用。","农业绿色发展与碳","可延伸至上游种植与下游流通企业，探索数字绿色耦合的差异化路径及小企业赋能机制。","openalex","2026-09-24T23:30:07.783118Z",{"total":51,"page":21,"page_size":51,"items":52},6,[53,88,132,171,201,232],{"id":54,"title":55,"url":56,"summary":57,"summary_zh":58,"content":9,"source_name":10,"source_url":56,"published_at":59,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":60,"sources":62,"tags":64,"search_phrases":68,"slug":71,"view_count":35,"doi":72,"paper":73,"created_at":87},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",{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":61},"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。",[63],{"name":10,"url":56},[65,66,26,27,67],"数字农业","供应链韧性","食品供应链",[69,70],"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","10.3389\u002Ffsufs.2026.1930717",{"doi":72,"openalex_id":74,"authors":75,"venue":10,"cited_by_count":35,"oa_url":56,"card":81,"direction":85,"ingested_from":48},"W7213555796",[76,79],{"name":77,"orcid":78},"Meihui Li","https:\u002F\u002Forcid.org\u002F0009-0004-2665-2629",{"name":80,"orcid":9},"Yuechao Zhu",{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"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。","数字乡村与农业信息化","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":89,"title":90,"url":91,"summary":92,"summary_zh":93,"content":9,"source_name":94,"source_url":91,"published_at":95,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":97,"sources":104,"tags":106,"search_phrases":109,"slug":112,"view_count":21,"doi":113,"paper":114,"created_at":131},1416,"THE IMPACT OF DIGITAL TECHNOLOGIES ON THE INNOVATIVE DEVELOPMENT OF AGRICULTURAL ENTERPRISES","https:\u002F\u002Fdoi.org\u002F10.32782\u002Finfrastruct90-32","The article examines the impact of digital technologies on the innovative development of agricultural enterprises in the context of economic digitalization and Industry 4.0. Digitalization is identified as a key driver of production efficiency, resource optimization, labor productivity, and competitiveness. The study considers the application of precision agriculture, the Internet of Things (IoT), artificial intelligence, Big Data, GIS, remote sensing, cloud technologies, and automated management systems. The main benefits include improved decision-making, lower production costs, higher productivity, reduced operational risks, and support for sustainable agricultural development. The paper also identifies barriers to digital transformation, such as limited investment, insufficient digital infrastructure, shortages of qualified personnel, and cybersecurity risks. Practical approaches are proposed to improve digital transformation and strengthen the innovative capacity and long-term competitiveness of agricultural enterprises.","本文探讨了在经济数字化与工业4.0背景下，数字技术对农业企业创新发展的影响。数字化被视为提升生产效率、优化资源配置、提高劳动生产率及增强竞争力的关键驱动力。研究涉及精准农业、物联网（IoT）、人工智能、大数据、地理信息系统（GIS）、遥感、云计算及自动化管理系统的应用。主要益处包括改善决策质量、降低生产成本、提高生产力、减少运营风险以及支持农业可持续发展。本文还指出了数字化转型面临的障碍，如投资有限、数字基础设施不足、专业人才短缺及网络安全风险。文章提出了改进数字化转型、增强农业企业创新能力与长期竞争力的实践路径。","Market Infrastructure","2026-09-01T00:00:00Z",51,{"impact":98,"substance":99,"depth":100,"authority":101,"freshness":102,"relevant":21,"comment":103},12,15,14,8,2,"论文系统梳理数字技术对农业企业创新的影响，但缺乏新数据，时效性低，适合行业参考。",[105],{"name":94,"url":91},[107,108,26,27],"智慧农业","精准农业",[110,111],"数字化转型 农业企业 智慧农业 精准农业","数字化转型 农业企业","数字化转型农业企业智慧农业精准农业-1416","10.32782\u002Finfrastruct90-32",{"doi":113,"openalex_id":115,"authors":116,"venue":94,"cited_by_count":35,"oa_url":91,"card":124,"direction":130,"ingested_from":48},"W7204884481",[117,119,122],{"name":118,"orcid":9},"Lidiіa Fedoryshynа",{"name":120,"orcid":121},"Yuliia Aleskerova","https:\u002F\u002Forcid.org\u002F0000-0003-3072-4854",{"name":123,"orcid":9},"Lydmyla Drymanova",{"tldr":125,"method":126,"finding":127,"direction":128,"opportunity":129},"探讨数字技术对农业企业创新发展的影响，分析效益与障碍并提出改进路径。","综述数字技术应用，分析效益与障碍，提出实践方案。","数字技术提升效率与竞争力，但受投资、设施、人才和网络安全制约。","农业人工智能与决策模型","可深入研究数字技术采纳的障碍机制，构建农业企业数字化转型的评估与促进模型。","智慧农业 \u002F 农业物联网","2026-09-02T23:30:15.371042Z",{"id":133,"title":134,"url":135,"summary":136,"summary_zh":137,"content":9,"source_name":10,"source_url":135,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":138,"sources":140,"tags":142,"search_phrases":146,"slug":149,"view_count":35,"doi":150,"paper":151,"created_at":170},3343,"Supply chain digitalization and proactive green innovation in agri-food enterprises: evidence from source-reduction patent bias","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1957657","Supply chain digitalization has emerged as a critical mechanism for advancing sustainable agriculture amidst intensifying climate and resource constraints. Utilizing panel data from A-share listed agri-food enterprises in China spanning 2013 to 2024, this study examines the impact of supply chain digitalization on corporate green innovation and its underlying transmission pathways. Our findings indicate that digital empowerment significantly enhances overall green innovation, with a pronounced structural preference for proactive source-reduction patents over reactive, end-of-pipe compliance technologies. This positive effect remains robust after addressing endogeneity concerns through instrumental variable (IV) analysis, Difference-in-Differences (DID) models, and double machine learning (DML) approaches. Mechanism tests reveal that digitalization fosters green innovation through three primary channels: enhancing supply chain synergies, strengthening R&D absorptive capacity, and elevating corporate risk-taking thresholds. Notably, this effect is amplified in environments characterized by high customer concentration and concentrated market structures. Furthermore, causal forest analysis underscores heterogeneous treatment effects, demonstrating that digital empowerment yields greater benefits for non-state-owned enterprises, firms with dominant market positions, and those deeply embedded in supply networks. These insights clarify the distributional implications of digital transformation and provide targeted policy guidance for accelerating the adoption of source-reduction technologies across the agri-food supply chain.","供应链数字化已成为在气候与资源约束日益加剧背景下推进可持续农业的关键机制。本研究利用2013年至2024年中国A股上市农业食品企业的面板数据，考察供应链数字化对企业绿色创新的影响及其内在传导路径。研究发现，数字赋能显著提升了整体绿色创新水平，且在结构上明显偏好主动型源头减量专利，而非末端治理型被动合规技术。在通过工具变量（IV）分析、双重差分（DID）模型和双重机器学习（DML）方法处理内生性问题后，这一正向效应依然稳健。机制检验表明，数字化通过三条主要渠道促进绿色创新：增强供应链协同效应、强化研发吸收能力以及提升企业风险承担阈值。值得注意的是，该效应在客户集中度高和市场结构集中的环境中更为显著。此外，因果森林分析揭示了异质性处理效应，表明数字赋能对非国有企业、具有市场主导地位的企业以及深度嵌入供应网络的企业带来更大收益。这些发现阐明了数字化转型的分配效应，并为加快农业食品供应链中源头减量技术的采用提供了有针对性的政策指引。",{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":139},"基于A股农食企业面板数据的实证研究，方法扎实、结论新颖，对农业供应链数字化转型与源头减量技术政策有参考价值。",[141],{"name":10,"url":135},[65,143,27,144,145],"农业供应链","绿色创新","专利结构",[147,148],"农业供应链 数字化 绿色创新","A股 农食企业 专利","农业供应链数字化绿色创新-3343","10.3389\u002Ffsufs.2026.1957657",{"doi":150,"openalex_id":152,"authors":153,"venue":10,"cited_by_count":35,"oa_url":135,"card":165,"direction":46,"ingested_from":48},"W7214118553",[154,157,159,162],{"name":155,"orcid":156},"Siliang Guo","https:\u002F\u002Forcid.org\u002F0000-0001-9093-9588",{"name":158,"orcid":9},"Yan Qu",{"name":160,"orcid":161},"Yang Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-0789-4938",{"name":163,"orcid":164},"Bingqian Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-8212-452X",{"tldr":166,"method":167,"finding":168,"direction":46,"opportunity":169},"基于2013-2024年中国农食上市企业面板数据，研究供应链数字化如何促进企业主动型绿色创新。","A股农食企业面板数据，IV、DID、双重机器学习及因果森林分析。","数字化显著提升绿色创新，且更偏向源头减量专利而非末端治理技术。","可探究数字化驱动源头减量专利在中小农食企业及不同供应链结构中的扩散机制与政策激励。","2026-09-24T23:30:07.915956Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":9,"content":9,"source_name":176,"source_url":9,"published_at":177,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":178,"sources":181,"tags":183,"search_phrases":188,"slug":191,"view_count":35,"doi":9,"paper":192,"created_at":200},2216,"《数字普惠金融与农业新质生产力:来自中国的证据》","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F17\u002F9149","Songqi Liu等(辽宁大学、沈阳农业大学、普渡大学)基于2011-2022年中国30个省份面板数据,考察数字普惠金融(DFI)对农业新质生产力(ANQP)的影响及其传导渠道。结果显示DFI显著正向促进ANQP,DFI每增加一个标准差,ANQP相应增加约样本均值64.35%。绿色技术创新是统计显著的传导渠道,但间接效应仅占总效应的3.31%。DFI与ANQP关系在DFI水平上呈双门槛模式,在区域经济发展水平上呈单门槛模式。","Sustainability 2026年9月7日","2026-09-07T00:00:00Z",{"impact":17,"substance":18,"depth":179,"authority":19,"freshness":101,"relevant":21,"comment":180},19,"基于30省11年面板数据的实证研究，量化了数字普惠金融对农业新质生产力的促进效应与门槛特征，结论具体、方法规范，对数字乡村金融政策有参考价值。",[182],{"name":176,"url":174},[184,185,186,187,29],"数字乡村","农业经济","农业新质生产力","数字普惠金融",[189,190],"农业新质生产力 数字普惠金融 绿色技术创新 农业经济","农业新质生产力 数字普惠金融","农业新质生产力数字普惠金融绿色技术创新农业经济-2216",{"doi":9,"openalex_id":9,"authors":193,"venue":9,"cited_by_count":35,"oa_url":9,"card":194,"direction":85,"ingested_from":199},[],{"tldr":195,"method":196,"finding":197,"direction":85,"opportunity":198},"基于中国30省面板数据，实证检验数字普惠金融对农业新质生产力的促进效应及传导渠道。","2011-2022年30省面板数据，面板回归与门槛模型","数字普惠金融显著促进农业新质生产力，绿色技术创新为传导渠道但间接效应仅占3.31%。","绿色技术创新中介效应极弱，可挖掘其他传导机制及数字普惠金融赋能农业新质生产力的微观路径。","agent","2026-09-12T00:06:40.610993Z",{"id":202,"title":203,"url":204,"summary":205,"summary_zh":9,"content":206,"source_name":207,"source_url":9,"published_at":177,"category":208,"cover_url":9,"hotness":209,"is_selected":210,"score":211,"score_detail":212,"sources":217,"tags":222,"search_phrases":227,"slug":230,"view_count":21,"doi":9,"paper":9,"created_at":231},2070,"中央网信办等七部门联合印发《促进数字化绿色化协同转型发展实施方案(2026-2030年)》","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7682626502483001908\u002F","近日中央网信办、国家发改委、工信部、生态环境部、住建部、农业农村部、商务部七部门联合印发《促进数字化绿色化协同转型发展实施方案(2026-2030年)》,部署\"十五五\"双化协同4方面14项重点任务:推动数智技术与绿色技术融合创新,提升算力设施、5G基站等新兴领域用能效率,深化农业等重点领域双化协同应用,夯实数字化碳管理等基础支撑;到2030年AI赋能绿色低碳成效显著,农业等重点领域数智化、绿色化深入推进。","## 七部门联合印发促进数字化绿色化协同转型发展实施方案\n\n2026-09-07 11:14·[光明网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAA9Lz0MeLdJDmqpU26Xi9O_M-cYI9z530wjM7eDKvzZTw\u002F?source=tuwen_detail)\n\n本报讯 记者刘欣 近日，中央网信办、国家发展改革委、工业和信息化部、生态环境部、住房和城乡建设部、农业农村部、商务部七部门联合印发《促进数字化绿色化协同转型发展实施方案（2026-2030年）》（以下简称《实施方案》），明确了“十五五”时期推进数字化绿色化协同转型发展（以下简称双化协同）的思路目标、重点任务和政策举措。\n\n《实施方案》明确，到2030年，人工智能低成本、高效率优势更加彰显，深度赋能绿色低碳技术创新和产业发展，算力设施、5G基站等新兴领域用能效率大幅提升，推动算力设施等重点领域可再生能源电力消费水平达到所在省份可再生能源电力消纳责任权重水平，农业、制造业、贸易、消费、城市运行等重点领域数字化绿色化深入推进，数智技术赋能生态环境治理能力持续提升，双化协同发展模式有力支撑经济社会发展全面绿色转型和高质量发展。\n\n《实施方案》围绕“十五五”发展目标，部署4个方面14项重点任务。一是推动数智技术与绿色技术融合创新，发展绿色高效人工智能技术，推动人工智能赋能绿色低碳技术创新。二是提升新兴领域用能效率，推动算力设施、通信基站、数字企业绿色低碳发展。三是深化重点领域双化协同应用，推动农业、制造业、贸易、消费、城市运行等领域数字化绿色化和生态环境智能化治理。四是夯实双化协同基础支撑，优化发展环境，提升数字化碳管理水平，深化国际交流合作。\n\n来源： 法治日报","中央网信办\u002F光明网","政策",25,true,87,{"impact":213,"substance":18,"depth":214,"authority":99,"freshness":215,"relevant":21,"comment":216},26,17,7,"七部门联合印发的国家级五年实施方案，明确农业等重点领域数字化绿色化协同路径，政策层级高、条款具体，对智慧农业与数字乡村建设具有直接指导价值。",[218,219],{"name":207,"url":204},{"name":220,"url":221},"国际商报 今日头条","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7682604853192966691\u002F",[223,224,225,226,28],"农业人工智能","十五五规划","农业数字化","绿色低碳",[228,229],"农业人工智能 农业数字化 十五五规划 双化协同","农业人工智能 农业数字化","农业人工智能农业数字化十五五规划双化协同-2070","2026-09-11T00:04:17.727872Z",{"id":233,"title":234,"url":235,"summary":236,"summary_zh":9,"content":9,"source_name":237,"source_url":9,"published_at":238,"category":12,"cover_url":9,"hotness":13,"is_selected":210,"score":239,"score_detail":240,"sources":244,"tags":246,"search_phrases":248,"slug":251,"view_count":35,"doi":9,"paper":252,"created_at":259},1811,"Evolution Characteristics and Optimizing Strategy of Smart Agriculture Policies in China: Based on \"Tools-Topics-Objectives\" Framework（《智慧农业（中英文）》2026年第3期）","https:\u002F\u002Fagris.fao.org\u002Fsearch\u002Far\u002Frecords\u002F6a96d27a8a202ccda1b64998","基于2013—2025年240份中央层面智慧农业政策文本，构建\"工具—主题—目标\"三维分析框架，运用NVivo14与LDA主题模型进行系统编码和定量分析。识别出政策演进的四个阶段：政策探索期（2013—2015）、试点示范期（2016—2018）、战略推进期（2019—2023）、全面深化期（2024至今）。\"数字化转型与智能化升级\"主题占比57.92%，过度集中。建议从供给侧、环境侧、需求侧三方协调优化政策工具部署。","FAO AGRIS \u002F 智慧农业(中英文)2026, 8(3)","2026-09-04T00:00:00Z",86,{"impact":209,"substance":18,"depth":241,"authority":100,"freshness":242,"relevant":21,"comment":243},20,5,"基于240份政策文本的系统分析，揭示中国智慧农业政策演进阶段与工具配置失衡，对政策优化有重要参考价值。",[245],{"name":237,"url":235},[107,26,247],"政策分析",[249,250],"数字化转型 政策分析 智慧农业","数字化转型 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