[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4554":3,"related-4554":90},{"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":54,"slug":57,"view_count":58,"doi":59,"paper":60,"created_at":89},4554,"Regenerative gastronomic tourism and short food supply chains: a SOR model approach","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1980774","Sustainable food systems depend not only on how food is produced but also on how consumers form trust, identity, and lasting relationships with local producers. Regenerative gastronomic tourism, rooted in ancestral knowledge and place-based culinary practices, has emerged as a catalyst for short food supply chains (SFSCs), yet the psychological mechanisms converting immersive culinary experiences into sustained demand remain poorly understood. This scoping review synthesizes evidence published between 2016 and 2026 through the Stimulus–Organism–Response (SOR) framework, integrating consumption value and social identity perspectives. Regenerative experiences, heritage workshops, farm visits, and digital stimuli activate internal consumer states, including perceived authenticity, territorial identity, groundedness, and multidimensional consumption value. These states drive willingness to pay price premiums, post-trip purchasing, and digital advocacy, with tourist-generated word-of-mouth feeding back as stimuli for future consumers. The discussion identifies critical gaps: longitudinal loyalty decay, digital mediation after the trip, community sovereignty risks, contextual diversity, and greenwashing resistance. The SOR framework offers a conceptual pathway to inform the potential scaling of regenerative gastronomic tourism as an economic lever for sustainable food system transformation.","可持续食物体系不仅取决于食物如何生产，也取决于消费者如何与本地生产者形成信任、认同和持久关系。再生型美食旅游植根于祖传知识和地方性烹饪实践，已成为短食物供应链（SFSCs）的催化剂，然而，将沉浸式烹饪体验转化为持续需求的心理机制仍鲜为人知。本范围综述通过刺激—机体—反应（SOR）框架，整合消费价值和社会认同视角，综合了2016年至2026年间发表的证据。再生型体验、遗产工作坊、农场参观和数字刺激激活了消费者内部状态，包括感知真实性、地域认同、扎根感和多维消费价值。这些状态驱动了支付价格溢价的意愿、旅行后购买和数字倡导，而游客生成的口碑又作为刺激反馈给未来消费者。讨论指出了关键空白：纵向忠诚度衰减、旅行后的数字中介、社区主权风险、情境多样性以及抗绿色漂洗。SOR框架提供了一条概念路径，为再生型美食旅游作为可持续食物体系转型经济杠杆的潜在规模化提供参考。",null,"Frontiers in Sustainable Food Systems","2026-10-09T00:00:00Z","论文",10,false,63,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,18,16,13,1,"以SOR框架综述再生美食旅游与短食品供应链的心理机制，视角新颖但偏理论综述，产业落地价值有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业数字化","乡村旅游","可持续食品","消费行为","短链农业",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":53},[38,43,48],{"code":39,"score":21,"supported":14,"title":40,"abstract":41,"tags":42},"G4",[],[],[27],{"code":44,"score":21,"supported":14,"title":45,"abstract":46,"tags":47},"I",[],[],[26],{"code":49,"score":21,"supported":14,"title":50,"abstract":51,"tags":52},"I1",[],[],[26],"农业相关性需要复核",[55,56],"再生美食旅游 短食品供应链","SOR模型 消费价值","再生美食旅游短食品供应链-4554",2,"10.3389\u002Ffsufs.2026.1980774",{"doi":59,"openalex_id":61,"authors":62,"venue":10,"cited_by_count":80,"oa_url":81,"card":82,"direction":86,"ingested_from":88},"W7221122931",[63,66,69,71,73,76,78],{"name":64,"orcid":65},"María del Carmen Avendaño-Rito","https:\u002F\u002Forcid.org\u002F0000-0001-6839-0963",{"name":67,"orcid":68},"Eduardo Cruz-Cruz","https:\u002F\u002Forcid.org\u002F0000-0002-1036-7151",{"name":70,"orcid":9},"Gabriela Maldonado-Cruz",{"name":72,"orcid":9},"Enrique Cruz Domínguez",{"name":74,"orcid":75},"Olga Yaneth Chang Espinosa","https:\u002F\u002Forcid.org\u002F0009-0007-0235-9913",{"name":77,"orcid":9},"Jorge Martín Guzmán Albores",{"name":79,"orcid":9},"Adrián Martínez Vargas",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1980774\u002Fpdf",{"tldr":83,"method":84,"finding":85,"direction":86,"opportunity":87},"综述再生美食旅游通过SOR框架驱动短食品供应链需求的心理机制。","范围综述，整合SOR框架、消费价值与社会认同，分析2016-2026年文献。","真实感、地域认同等内在状态驱动溢价支付与购后行为，口碑形成反馈循环。","农业绿色发展与碳","可实证检验旅行后数字中介与忠诚度衰减，探索社区主权与反漂绿机制。","openalex","2026-10-10T23:30:06.052967Z",{"total":91,"page":21,"page_size":91,"items":92},6,[93,167,225,288,344,427],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":98,"content":9,"source_name":10,"source_url":96,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":100,"score":101,"score_detail":102,"sources":107,"tags":109,"primary_topic":114,"secondary_topics":119,"classification":120,"search_phrases":143,"slug":146,"view_count":80,"doi":147,"paper":148,"created_at":166},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。","2026-10-21T00:00:00Z",true,87,{"impact":103,"substance":104,"depth":18,"authority":105,"freshness":13,"relevant":21,"comment":106},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。",[108],{"name":10,"url":96},[110,111,27,112,113],"乡村振兴","农村消费","农户收入","农业劳动生产率",{"code":39,"slug":115,"name":116,"path":117,"parent_code":118},"rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",[],{"status":121,"locked":14,"version":34,"method":35,"evidence":122},"classified",{"candidates":123,"agricultural_evidence":100},[124,130,136],{"code":39,"score":125,"supported":100,"title":126,"abstract":128,"tags":129},15,[127],"rural tourism",[27,127],[27],{"code":118,"score":13,"supported":100,"title":131,"abstract":132,"tags":135},[],[110,133,134],"农村发展","rural development",[110],{"code":137,"score":138,"supported":100,"title":139,"abstract":140,"tags":142},"G6",4,[],[141],"rural income",[112],[144,145],"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":147,"openalex_id":149,"authors":150,"venue":10,"cited_by_count":80,"oa_url":159,"card":160,"direction":164,"ingested_from":88},"W7223149969",[151,154,156],{"name":152,"orcid":153},"Jin Liu","https:\u002F\u002Forcid.org\u002F0000-0001-7654-255X",{"name":155,"orcid":9},"Betelhemabraham Geremew",{"name":157,"orcid":158},"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":161,"method":162,"finding":163,"direction":164,"opportunity":165},"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。","2026-10-22T11:20:16.227845Z",{"id":168,"title":169,"url":170,"summary":171,"summary_zh":9,"content":9,"source_name":172,"source_url":9,"published_at":173,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":174,"score_detail":175,"sources":177,"tags":179,"primary_topic":184,"secondary_topics":190,"classification":191,"search_phrases":212,"slug":215,"view_count":21,"doi":9,"paper":216,"created_at":224},5227,"China's farm digitization reduces agricultural carbon emissions but the relationship is nonlinear (U-shaped)","https:\u002F\u002Fcommonplace.workforcefutures.net\u002Fpaper\u002Fopenalex:W7221809067","Gao、Feng、Yuan、Sun 在 OpenAlex 2026-10-16 索引的最新研究,基于中国31个省份2010—2023年平衡面板数据,采用双向固定效应面板与SEM中介模型,发现农业数字技术通过精准管理与间接融资\u002F绿色创新两条路径降低碳排放,但呈U型非线性,转折点为数字化指数0.540,劳动生产率提升可推迟转折点,数字化在区域、规模、排放来源维度呈现异质性。","OpenAlex W7221809067(2026-10-16)","2026-10-16T00:00:00Z",84,{"impact":103,"substance":104,"depth":18,"authority":20,"freshness":17,"relevant":21,"comment":176},"基于31省2010—2023年面板数据的全国性实证研究，揭示数字化与农业碳排放的U型关系及0.540转折点，结论新颖且具政策参考价值，值得进入每日精选。",[178],{"name":172,"url":170},[180,181,26,182,183],"数字乡村","智慧农业","农业碳排放","绿色创新",{"code":185,"slug":186,"name":187,"path":188,"parent_code":189},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",[],{"status":121,"locked":14,"version":34,"method":35,"evidence":192},{"candidates":193,"agricultural_evidence":100},[194,199,203,207],{"code":185,"score":138,"supported":100,"title":195,"abstract":196,"tags":198},[],[197],"碳排放",[182],{"code":49,"score":58,"supported":14,"title":200,"abstract":201,"tags":202},[],[],[26,181],{"code":44,"score":21,"supported":14,"title":204,"abstract":205,"tags":206},[],[],[26],{"code":208,"score":21,"supported":14,"title":209,"abstract":210,"tags":211},"I6",[],[],[180],[213,214],"农业数字化 碳排放 U型","数字技术 农业碳减排","农业数字化碳排放U型-5227",{"doi":9,"openalex_id":9,"authors":217,"venue":9,"cited_by_count":80,"oa_url":9,"card":218,"direction":86,"ingested_from":223},[],{"tldr":219,"method":220,"finding":221,"direction":86,"opportunity":222},"基于中国31省2010—2023年面板数据，发现农业数字化与碳排放呈U型非线性关系。","双向固定效应面板模型与SEM中介模型，31省平衡面板数据。","数字化通过精准管理和绿色创新降碳，但存在0.540的U型转折点。","可探究转折点后数字化增碳的机制，及劳动生产率等调节因素如何推迟拐点。","agent","2026-10-18T00:05:30.735414Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":9,"content":9,"source_name":230,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":231,"score_detail":232,"sources":236,"tags":238,"primary_topic":243,"secondary_topics":247,"classification":248,"search_phrases":276,"slug":279,"view_count":80,"doi":9,"paper":280,"created_at":287},5226,"How does agricultural digitalization drive green total factor productivity? Evidence from rural industrial integration, data factor allocation, and spatial effects in China","https:\u002F\u002Fwww.lnu.edu.cn\u002Finfo\u002F15114\u002F84907.htm","辽宁大学经济学院和军教授等在《Frontiers in Sustainable Food Systems》2026年第10卷发表的论文,基于中国省级面板数据,采用Super-SBM模型与GML指数,发现农业数字化通过农村产业融合中介与数据要素配置调节显著提升农业绿色全要素生产率,并对邻近地区产生正向溢出,为农业绿色转型提供理论依据。","Frontiers in Sustainable Food Systems 10(2026)",71,{"impact":18,"substance":233,"depth":234,"authority":20,"freshness":58,"relevant":21,"comment":235},21,17,"基于省级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，适合作为研究参考而非每日精选头条。",[237],{"name":230,"url":228},[239,240,26,241,242],"数据要素","空间溢出","绿色全要素生产率","农村产业融合",{"code":208,"slug":244,"name":245,"path":246,"parent_code":44},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":121,"locked":14,"version":34,"method":35,"evidence":249},{"candidates":250,"agricultural_evidence":100},[251,255,259,263,267,271],{"code":208,"score":138,"supported":100,"title":252,"abstract":253,"tags":254},[],[239],[239],{"code":39,"score":21,"supported":14,"title":256,"abstract":257,"tags":258},[],[],[242],{"code":185,"score":21,"supported":14,"title":260,"abstract":261,"tags":262},[],[],[241],{"code":44,"score":21,"supported":14,"title":264,"abstract":265,"tags":266},[],[],[26],{"code":49,"score":21,"supported":14,"title":268,"abstract":269,"tags":270},[],[],[26],{"code":272,"score":21,"supported":14,"title":273,"abstract":274,"tags":275},"I4",[],[],[240],[277,278],"辽宁大学 农业数字化 绿色全要素生产率","农村产业融合 数据要素 空间杜宾","辽宁大学农业数字化绿色全要素生产率-5226",{"doi":9,"openalex_id":9,"authors":281,"venue":9,"cited_by_count":80,"oa_url":9,"card":282,"direction":86,"ingested_from":223},[],{"tldr":283,"method":284,"finding":285,"direction":86,"opportunity":286},"基于中国省级面板数据，检验农业数字化对农业绿色全要素生产率的影响及机制。","Super-SBM模型与GML指数测算GTFP，省级面板数据中介与调节效应分析。","农业数字化显著提升农业绿色全要素生产率，农村产业融合起中介作用，数据要素配置起调节作用，并存在正向空","可深入微观主体或县域尺度，检验数据要素配置的门槛效应与空间溢出的衰减边界。","2026-10-18T00:05:30.603519Z",{"id":289,"title":290,"url":291,"summary":292,"summary_zh":9,"content":9,"source_name":293,"source_url":9,"published_at":294,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":295,"score_detail":296,"sources":298,"tags":300,"primary_topic":9,"secondary_topics":303,"classification":304,"search_phrases":332,"slug":335,"view_count":58,"doi":9,"paper":336,"created_at":343},5133,"「数字田」里好「丰」景——吴兴农业数字化转型观察 浙江大学农业品牌研究中心调研","http:\u002F\u002Fwww.brand.zju.edu.cn\u002F2026\u002F1013\u002Fc57338a3214218\u002Fpage.htm","浙江大学中国农业品牌研究中心调研报道了湖州吴兴区农业数字化转型。埭溪镇山背村黑米全链科创与青年双创融合项目负责人、法国索邦大学博士王泽峰扎根创业近2年,带领团队完成创收超100万元。文章指出尽管数字技术在农业领域的应用前景广阔,但从技术示范走向规模化应用仍面临挑战:既精通农业生产规律又掌握数字技术的复合型人才有限;基层农户的数字素养与应用技能薄弱,缺少培育专业化服务的组织。吴兴区鳜鱼产业组建6个由青年创业者带领的「鳜鱼」产业联农带农联合体,在工厂化循环水、规模化苗种标准培育等关键技术领域取得突破,订单价格较普通鳜鱼高出15%至20%。","浙江大学中国农业品牌研究中心 2026 年 10 月 13 日","2026-10-13T00:00:00Z",66,{"impact":105,"substance":18,"depth":125,"authority":20,"freshness":91,"relevant":21,"comment":297},"浙大团队对吴兴农业数字化转型的实地调研，含鳜鱼联合体与人才瓶颈等一手信息，具行业参考价值。",[299],{"name":293,"url":291},[180,181,26,301,302],"复合型人才","鳜鱼产业",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":305},{"candidates":306,"agricultural_evidence":100,"reason":331},[307,314,319,323,327],{"code":308,"score":309,"supported":100,"title":310,"abstract":311,"tags":313},"D1",3,[],[312],"工厂化循环水",[],{"code":39,"score":309,"supported":100,"title":315,"abstract":316,"tags":318},[],[317],"联农带农",[],{"code":49,"score":58,"supported":14,"title":320,"abstract":321,"tags":322},[],[],[26,181],{"code":44,"score":21,"supported":14,"title":324,"abstract":325,"tags":326},[],[],[26],{"code":208,"score":21,"supported":14,"title":328,"abstract":329,"tags":330},[],[],[180],"多个产业证据相当，需要确认主归属",[333,334],"吴兴 鳜鱼 数字化","浙江大学 农业品牌研究中心 吴兴","吴兴鳜鱼数字化-5133",{"doi":9,"openalex_id":9,"authors":337,"venue":9,"cited_by_count":80,"oa_url":9,"card":338,"direction":164,"ingested_from":223},[],{"tldr":339,"method":340,"finding":341,"direction":164,"opportunity":342},"调研湖州吴兴区农业数字化转型，剖析数字技术从示范走向规模化应用的挑战与青年创业实践。","浙江大学品牌研究中心实地调研吴兴区黑米、鳜鱼等产业数字化案例。","复合型人才短缺、农户数字素养薄弱制约规模化；鳜鱼联合体技术突破使订单价高15%-20%。","可研究数字农业复合型人才培育机制与基层服务组织模式，破解技术规模化落地瓶颈。","2026-10-17T00:13:45.129820Z",{"id":345,"title":346,"url":347,"summary":348,"summary_zh":349,"content":9,"source_name":10,"source_url":347,"published_at":350,"category":12,"cover_url":9,"hotness":351,"is_selected":14,"score":352,"score_detail":353,"sources":356,"tags":361,"primary_topic":364,"secondary_topics":370,"classification":371,"search_phrases":402,"slug":405,"view_count":80,"doi":406,"paper":407,"created_at":426},5069,"The impact of digital technology on green economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1787960","Introduction Digital agriculture is regarded as an important instrument for achieving green economies, with the potential to raise productivity while reducing environmental impacts. This study explores how digitalization in agriculture affects greenhouse gas emissions, pesticide use and productivity. Methods The research uses a mixed-methods design. Quantitative analysis draws on international environmental and economic indicators for approximately 180 countries between 2000 and 2023 (415 country-year observations), combining Spearman correlations, regression models with GDP interaction terms, and K-means cluster analysis. A qualitative case study of digital agriculture in Latin America complements the statistical findings. Results Digital infrastructure is strongly associated with the adoption of agricultural digital technologies, and smart farming investment is associated with better economic performance of the agricultural sector. Investment in digital agriculture shows a positive association with both emissions and pesticide use, while the interaction with GDP is negative and significant. Cluster analysis confirms that countries with higher GDP and stronger digital infrastructure achieve more balanced environmental outcomes. Discussion The environmental benefits of digital agriculture are conditional on economic capacity. In economically advanced settings, digital technologies reduce resource use, waste and emissions; in economically constrained regions, higher output can offset the environmental gains. Digital agricultural transformation therefore offers opportunities for sustainable development, but its success depends on equitable access to digital technologies and on policy support that mitigates the trade-off between productivity and environmental protection.","引言 数字农业被视为实现绿色经济的重要工具，具有提高生产力同时减少环境影响的潜力。本研究探讨农业数字化如何影响温室气体排放、农药使用和生产力。方法 研究采用混合方法设计。定量分析基于约180个国家2000年至2023年的国际环境和经济指标（415个国家-年份观测值），结合斯皮尔曼相关性分析、包含GDP交互项的回归模型以及K均值聚类分析。拉丁美洲数字农业的定性案例研究补充了统计发现。结果 数字基础设施与农业数字技术的采用密切相关，智慧农业投资与农业部门更好的经济表现相关。数字农业投资与排放量和农药使用量均呈正相关，而与GDP的交互项为负且显著。聚类分析证实，GDP较高且数字基础设施较强的国家实现了更平衡的环境结果。讨论 数字农业的环境效益以经济能力为条件。在经济发达环境中，数字技术减少了资源使用、浪费和排放；在经济受限地区，更高的产出可能抵消环境收益。因此，数字农业转型为可持续发展提供了机遇，但其成功取决于数字技术的公平获取以及能够缓解生产力与环境保护之间权衡的政策支持。","2026-10-15T00:00:00Z",25,86,{"impact":103,"substance":104,"depth":354,"authority":105,"freshness":17,"relevant":21,"comment":355},19,"基于180国2000—2023年面板数据与拉美案例，揭示数字农业环境效益受经济水平制约，方法扎实、结论有政策参考价值。",[357,358],{"name":10,"url":347},{"name":359,"url":360},"Frontiers in Sustainable Food Systems 2026-10-15","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Ffull",[362,181,26,182,363],"数字农业","农药减量",{"code":365,"slug":366,"name":367,"path":368,"parent_code":369},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",[],{"status":121,"locked":14,"version":34,"method":35,"evidence":372},{"candidates":373,"agricultural_evidence":100},[374,380,387,394,398],{"code":49,"score":375,"supported":100,"title":376,"abstract":377,"tags":379},12,[],[181,362,378],"digital agriculture",[26,362,181],{"code":365,"score":381,"supported":100,"title":382,"abstract":383,"tags":386},7,[],[384,385],"农药","pesticide",[363],{"code":388,"score":91,"supported":100,"title":389,"abstract":390,"tags":393},"B7",[],[391,392],"温室","greenhouse",[],{"code":185,"score":21,"supported":14,"title":395,"abstract":396,"tags":397},[],[],[182],{"code":44,"score":21,"supported":14,"title":399,"abstract":400,"tags":401},[],[],[26],[403,404],"数字农业 温室气体排放","拉丁美洲 数字农业 案例","数字农业温室气体排放-5069","10.3389\u002Ffsufs.2026.1787960",{"doi":406,"openalex_id":408,"authors":409,"venue":10,"cited_by_count":80,"oa_url":419,"card":420,"direction":425,"ingested_from":88},"W7221916400",[410,413,416],{"name":411,"orcid":412},"Botond Géza Kálmán","https:\u002F\u002Forcid.org\u002F0000-0001-8031-8016",{"name":414,"orcid":415},"Zsuzsanna Szeiner","https:\u002F\u002Forcid.org\u002F0000-0003-3051-9674",{"name":417,"orcid":418},"Szilvia Valéria Módosné Szalai","https:\u002F\u002Forcid.org\u002F0009-0005-2164-9014","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Fpdf",{"tldr":421,"method":422,"finding":423,"direction":86,"opportunity":424},"研究约180国2000-2023年数据，分析农业数字化对温室气体排放、农药使用与生产率的影响。","混合方法：Spearman相关、含GDP交互项的回归、K-means聚类，辅以拉","数字农业环境效益取决于经济能力，高GDP国家更均衡，低GDP国家增产抵消环境收益。","可探究不同经济水平下数字农业减排阈值与政策干预机制，关注数字鸿沟对绿色转型的调节作用。","智慧农业 \u002F 农业物联网","2026-10-16T23:30:06.211945Z",{"id":428,"title":429,"url":430,"summary":431,"summary_zh":9,"content":9,"source_name":432,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":295,"score_detail":433,"sources":435,"tags":437,"primary_topic":9,"secondary_topics":441,"classification":442,"search_phrases":453,"slug":456,"view_count":80,"doi":9,"paper":457,"created_at":464},4964,"数字技术重构乡村旅游产业链的逻辑与路径","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fshkxj\u002F503.html","李鹏(平顶山学院旅游与规划学院;中南财经政法大学工商管理学院)发表的研究基于'技术赋能—资源整合—价值共享'逻辑主线,系统阐释数字技术通过数据要素驱动、生态化网络协同、可行能力提升与四链协同机制,推动乡村旅游产业链从效率优先向公平与效率并重转型。大数据平台的动态供需匹配、区块链技术的可信追溯体系、AIoT设备的自动化运营,有效破解信息孤岛与资源错配难题。可行能力理论的引入,为技术赋能与共同富裕的传导机制提供理论支撑。","《社会科学家》投稿参考范文 2026 年 5 月",{"impact":19,"substance":18,"depth":234,"authority":20,"freshness":58,"relevant":21,"comment":434},"理论性论文，从技术赋能视角阐释乡村旅游产业链数字化转型，对数字乡村研究有参考价值，但时效性偏弱。",[436],{"name":432,"url":430},[180,438,439,27,440],"共同富裕","区块链","AIoT",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":443},{"candidates":444,"agricultural_evidence":14,"reason":53},[445,449],{"code":39,"score":20,"supported":100,"title":446,"abstract":447,"tags":448},[27],[27],[27,438],{"code":208,"score":138,"supported":100,"title":450,"abstract":451,"tags":452},[],[239],[180],[454,455],"平顶山学院 数字技术 乡村旅游","乡村旅游 共同富裕 数字乡村 区块链","平顶山学院数字技术乡村旅游-4964",{"doi":9,"openalex_id":9,"authors":458,"venue":9,"cited_by_count":80,"oa_url":9,"card":459,"direction":164,"ingested_from":223},[],{"tldr":460,"method":461,"finding":462,"direction":164,"opportunity":463},"阐释数字技术通过四链协同机制重构乡村旅游产业链、推动公平与效率并重的逻辑与路径。","基于'技术赋能—资源整合—价值共享'框架，结合大数据、区块链、AIoT与可行能力","数字技术破解信息孤岛与资源错配，推动乡村旅游产业链从效率优先转向公平与效率并重。","可实证检验大数据供需匹配、区块链追溯对农户增收与共同富裕的传导效应及区域异质性。","2026-10-15T00:06:08.407354Z"]