[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4329":3,"related-4329":82},{"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":32,"secondary_topics":37,"classification":38,"search_phrases":57,"slug":60,"view_count":22,"doi":61,"paper":62,"created_at":81},4329,"Development of a farmer-centric UTAUT scale for measuring farmers’ behavioural intention towards the adoption of fluoride-safe practices","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1935542","Background Fluoride contamination in groundwater is a serious problem in many parts of India and affects agriculture, livestock, and human health. Although the Unified Theory of Acceptance and Use of Technology (UTAUT) has been widely used to explain technology adoption, no farmer-centric scale is available to measure farmers’ behavioural intention towards the adoption of fluoride-safe practices. Therefore, the present study was carried out to develop a farmer-centric UTAUT scale for this purpose. Methodology The initial statements were generated by reviewing UTAUT, UTAUT2, and other related technology adoption studies and were modified according to the agricultural context. Eighty-five statements were developed under seven constructs. After face validity, 66 statements were evaluated for content validity by a panel of 25 experts using Relevancy Weightage (RW), Mean Relevancy Score (MRS), and Overall Mean Relevancy Score (OMRS). Based on the predefined criteria, 49 statements were retained. A pilot survey was then conducted with 250 farmers from fluoride-affected areas using a five-point Likert scale. Exploratory Factor Analysis was performed using Principal Axis Factoring with Direct Oblimin rotation, followed by reliability analysis using Cronbach’s alpha. Results The KMO value (0.935) and Bartlett’s Test of Sphericity ( p \u003C 0.001) confirmed the suitability of the data for factor analysis. Exploratory Factor Analysis supported a seven-factor structure consistent with the adapted UTAUT framework, explaining 77.23% of the total variance. Based on the factor loading criterion, seven statements were removed, resulting in a final scale consisting of 42 statements. Cronbach’s alpha values ranged from 0.882 to 0.979, indicating satisfactory internal consistency across all constructs. Discussion The developed scale can be used to measure farmers’ behavioural intention towards the adoption of fluoride-safe practices in fluoride-affected areas. It can also help researchers, extension professionals, and policymakers to understand the factors influencing farmers’ adoption decisions and to plan suitable extension programmes. Further validation of the developed scale through Confirmatory Factor Analysis using an independent sample is recommended.","背景 地下水氟化物污染在印度许多地区是一个严重问题，影响农业、畜牧业和人类健康。尽管整合型技术接受与使用理论（UTAUT）已被广泛用于解释技术采纳，但目前尚无以农民为中心的量表可用于测量农民对采用氟安全实践的行为意向。因此，本研究旨在开发一个以农民为中心的UTAUT量表用于此目的。方法 初始条目通过回顾UTAUT、UTAUT2及其他相关技术采纳研究生成，并根据农业情境进行了修改。在七个构念下开发了85个条目。经过表面效度检验后，由25名专家组成的小组使用相关性权重（RW）、平均相关性得分（MRS）和总体平均相关性得分（OMRS）对66个条目进行了内容效度评估。根据预设标准，保留了49个条目。随后对来自氟受影响地区的250名农民进行了预调查，采用五点李克特量表。使用主轴因子法和直接斜交旋转进行探索性因子分析，随后使用Cronbach's alpha进行信度分析。结果 KMO值（0.935）和Bartlett球形检验（p \u003C 0.001）证实了数据适合进行因子分析。探索性因子分析支持与改编版UTAUT框架一致的七因子结构，解释了总方差的77.23%。根据因子载荷标准，删除了7个条目，最终量表包含42个条目。Cronbach's alpha值范围为0.882至0.979，表明所有构念均具有令人满意的内部一致性。讨论 所开发的量表可用于测量氟受影响地区农民对采用氟安全实践的行为意向。它还可以帮助研究人员、推广专业人员和政策制定者了解影响农民采纳决策的因素，并规划合适的推广项目。建议使用独立样本通过验证性因子分析对所开发量表进行进一步验证。",null,"Frontiers in Sustainable Food Systems","2026-10-06T00:00:00Z","论文",10,false,71,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,17,13,9,1,"面向氟污染地区农户的技术采纳量表开发，方法规范、样本与信效度数据扎实，对农业推广与政策制定有参考价值，但属细分领域工具性研究，影响面有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业推广","技术采纳","农户行为意愿","氟安全农艺","地下水氟污染",{"code":33,"slug":34,"name":35,"path":36,"parent_code":9},"C","livestock","畜牧兽医","\u002Ftopic\u002Flivestock",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"partial","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51],{"code":33,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},6,true,[],[49,34],"畜牧",[],{"code":52,"score":53,"supported":14,"title":54,"abstract":55,"tags":56},"G1",2,[],[],[27,28],[58,59],"UTAUT 农户 氟安全实践","印度 地下水氟污染","UTAUT农户氟安全实践-4329","10.3389\u002Ffsufs.2026.1935542",{"doi":61,"openalex_id":63,"authors":64,"venue":10,"cited_by_count":72,"oa_url":73,"card":74,"direction":78,"ingested_from":80},"W7220670105",[65,67,69],{"name":66,"orcid":9},"Vicky Yadav",{"name":68,"orcid":9},"Kalyan Ghadei",{"name":70,"orcid":71},"M. K. Shukla","https:\u002F\u002Forcid.org\u002F0009-0000-8662-1382",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1935542\u002Fpdf",{"tldr":75,"method":76,"finding":77,"direction":78,"opportunity":79},"开发以农民为中心的UTAUT量表，测量其采用氟安全实践的行为意向。","基于UTAUT\u002FUTAUT2生成题项，经25位专家内容效度与250户农民问卷调查","量表呈七因子结构，解释77.23%方差，最终42题，Cronbach's α为0.882–0.979","数字乡村与农业信息化","可将该量表用于不同地区与技术的验证，并补充验证性因子分析和实际采用行为的纵向追踪。","openalex","2026-10-07T23:30:06.293351Z",{"total":45,"page":22,"page_size":45,"items":83},[84,132,184,229,266,321],{"id":85,"title":86,"url":87,"summary":88,"summary_zh":89,"content":9,"source_name":10,"source_url":87,"published_at":90,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":91,"sources":94,"tags":96,"primary_topic":102,"secondary_topics":103,"classification":104,"search_phrases":111,"slug":114,"view_count":72,"doi":115,"paper":116,"created_at":131},5544,"Sustainable service scenes: formation mechanism of consumers’ premium purchase of specialty agricultural and livestock products in short-video live streaming","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1993041","Advancing the market realization of premium pricing for high-quality agricultural and livestock products is essential to facilitating the transition of traditional agriculture toward a sustainable, resource-efficient, and quality-driven development paradigm. However, Information asymmetry in the agricultural and livestock products market gives rise to the “lemons problem,” impeding the sustainable consumption of high-quality, differentiated products and undermining their ability to command premium pricing. With the development of the digital economy, short-video live streaming has emerged as a new driver for promoting the sustainable consumption of such products at premium prices. Drawing on servicescape theory, this study uses Inner Mongolia mutton as a representative case and constructs a structural equation model based on 402 valid questionnaires to examine the formation mechanism of consumers’ premium purchase intentions for specialty agricultural and livestock products in short-video live streaming. In addition, multi-group analysis is conducted to examine whether these mechanisms differ across consumers with different demographic characteristics. The results indicate that short-video live streaming effectively encourages consumers to purchase specialty agricultural and livestock products at premium prices through the dual pathways of “scene reconstruction–value upgrading” and “scene reconstruction–trust establishment.” Further, multi-group analysis reveals significant differences in consumers’ psychological responses and purchase intentions across demographic groups. This study provides a theoretical basis and practical insights for promoting the sustainable consumption of specialty agricultural and livestock products at premium prices, and thereby contribute to the long-term sustainability of the agricultural sector.","推进优质农产品和畜产品优质优价的市场实现，对于促进传统农业向可持续、资源节约型和品质驱动型发展范式转型至关重要。然而，农产品和畜产品市场中的信息不对称引发了“柠檬问题”，阻碍了优质差异化产品的可持续消费，并削弱了其实现优质优价的能力。随着数字经济的发展，短视频直播已成为促进此类产品优质优价可持续消费的新动力。本研究基于服务场景理论，以内蒙古羊肉为代表性案例，基于402份有效问卷构建结构方程模型，考察短视频直播中消费者对特色农产品和畜产品溢价购买意愿的形成机制。此外，通过多群组分析检验这些机制在不同人口统计特征消费者之间是否存在差异。结果表明，短视频直播通过“场景重构—价值升级”和“场景重构—信任建立”的双重路径，有效促进消费者以溢价购买特色农产品和畜产品。进一步的多群组分析揭示，不同人口统计群体消费者在心理反应和购买意愿方面存在显著差异。本研究为促进特色农产品和畜产品优质优价的可持续消费提供了理论基础和实践启示，进而有助于农业部门的长期可持续发展。","2026-10-22T00:00:00Z",{"impact":17,"substance":18,"depth":92,"authority":20,"freshness":13,"relevant":22,"comment":93},16,"基于402份问卷的结构方程模型实证，揭示短视频直播场景重构驱动特色农产品溢价消费的双路径机制，对农产品电商与品牌溢价有参考价值，但属单案例学术研究，产业影响有限。",[95],{"name":10,"url":87},[97,98,99,100,101],"畜牧业","特色农产品","短视频直播","溢价购买","服务场景",{"code":33,"slug":34,"name":35,"path":36,"parent_code":9},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":105},{"candidates":106,"agricultural_evidence":46},[107],{"code":33,"score":17,"supported":46,"title":108,"abstract":109,"tags":110},[34],[34],[97],[112,113],"内蒙古羊肉 短视频直播 溢价购买","特色农产品 短视频直播 服务场景 溢价购买","内蒙古羊肉短视频直播溢价购买-5544","10.3389\u002Ffsufs.2026.1993041",{"doi":115,"openalex_id":117,"authors":118,"venue":10,"cited_by_count":72,"oa_url":87,"card":126,"direction":78,"ingested_from":80},"W7223146436",[119,121,124],{"name":120,"orcid":9},"Pei Jie",{"name":122,"orcid":123},"Liangyuan Song","https:\u002F\u002Forcid.org\u002F0009-0001-0240-5269",{"name":125,"orcid":9},"Liu Hehe",{"tldr":127,"method":128,"finding":129,"direction":78,"opportunity":130},"基于服务场景理论，用内蒙古羊肉案例研究短视频直播中特色农产品溢价购买的形成机制。","服务场景理论+结构方程模型，402份问卷，多群组分析。","直播通过“场景重构-价值升级”和“场景重构-信任建立”双路径促进溢价购买，且存在人口统计差异。","可延伸至不同品类与平台对比，或将直播场景要素量化接入农产品溯源与信任机制研究。","2026-10-22T11:20:15.054936Z",{"id":133,"title":134,"url":135,"summary":136,"summary_zh":9,"content":137,"source_name":138,"source_url":9,"published_at":139,"category":140,"cover_url":9,"hotness":13,"is_selected":14,"score":141,"score_detail":142,"sources":146,"tags":148,"primary_topic":153,"secondary_topics":154,"classification":155,"search_phrases":179,"slug":182,"view_count":22,"doi":9,"paper":9,"created_at":183},4851,"聚力科企协同创新 赋能农业绿色发展 农业农村部环保所召开科企战略合作对接会","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fnkyw\u002Fd01d32e3f8ef44ee995e93536035a996.htm","10月9日,农业农村部环境保护科研监测所召开科企战略合作对接会暨签约仪式。中国农业科学院副院长刘现武出席并讲话,会议强调要锚定国家战略需求,坚持企业出题、院所答题、市场阅卷,创新科企融合模式,在农业绿色低碳领域打造协同创新标杆。围绕畜禽养殖绿色低碳、乡村环境智能监测、一体化在线监测装备研发及标准制定等方向联合开展技术攻关、工程化示范、产品试制和推广应用。","[English](https:\u002F\u002Fwww.caas.cn\u002Fen)[邮箱](https:\u002F\u002Fmail.caas.cn\u002F)[数字农科院](https:\u002F\u002Fi.caas.cn\u002F)[](https:\u002F\u002Fcaas.cn\u002Fcms\u002Fweb\u002Fsearch\u002Findex.jsp?siteID=cdb01dceb46e48488945d4465e90f221&aba=)\n\n官方微信 \n\n![Image 1](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002F020ac4d3d8b6451782a8702c72604336.jpg)农科专家在线微信公众号\n\n![Image 2](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002Fbf6579e4651e437db31a22cd2249b319.jpg)中国农科院微信公众号\n\n[![Image 3](https:\u002F\u002Fcaas.cn\u002Fstatic2022\u002Fimages\u002Fmenu_logo.png)](https:\u002F\u002Fcaas.cn\u002Findex.htm)\n\n*   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[联系我们](https:\u002F\u002Fcaas.cn\u002Flxwm\u002Findex.htm)\n\n[我要捐赠](https:\u002F\u002Fjjh.caas.cn\u002Fjzzn\u002Fjzfs\u002Findex.htm)\n\n主办：中国农业科学院 承办:中国农业科学院农业信息研究所 地址:北京市海淀区中关村南大街12号 邮编:100081\n\nCopyright@中国农业科学院 京ICP备10039560号-5[_![Image 11](https:\u002F\u002Fcaas.cn\u002Fstatic2022\u002Fimages\u002Ficon\\_ba.png)_ 京公网安备11010802048565号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010802048565)","中国农业科学院 2026 年 10 月 9 日","2026-10-09T00:00:00Z","报道",52,{"impact":143,"substance":13,"depth":144,"authority":143,"freshness":45,"relevant":22,"comment":145},14,8,"国家级科研机构召开的科企对接会，属常规工作动态，缺乏新政策条款与实质数据，公共信息增量有限。",[147],{"name":138,"url":135},[149,150,151,152],"农业绿色发展","科企融合","畜禽养殖","环保所",{"code":33,"slug":34,"name":35,"path":36,"parent_code":9},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":156},{"candidates":157,"agricultural_evidence":46},[158,164,169,174],{"code":33,"score":159,"supported":46,"title":160,"abstract":161,"tags":163},4,[],[162],"畜禽",[151],{"code":165,"score":22,"supported":14,"title":166,"abstract":167,"tags":168},"C3",[],[],[151],{"code":170,"score":22,"supported":14,"title":171,"abstract":172,"tags":173},"H4",[],[],[149],{"code":175,"score":22,"supported":14,"title":176,"abstract":177,"tags":178},"H8",[],[],[149],[180,181],"农业农村部环保所 科企战略合作对接会","农业绿色发展 畜禽养殖 科企融合 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