[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1003":3,"related-1003":61},{"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":23,"tags":25,"primary_topic":8,"secondary_topics":32,"classification":33,"search_phrases":56,"slug":59,"view_count":21,"doi":8,"paper":8,"created_at":60},1003,"System Dynamics Simulation of the Resilience of Sustainable Food Systems in Urban–Rural Transition Zones Empowered by Digitalization","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546","原文标题: System Dynamics Simulation of the Resilience of Sustainable Food Systems in Urban–Rural Transition Zones Empowered by Digitalization。作者: Tianshu Shao、Simiao Tong、Huabin Wu、Yanshu Ji（浙江财经大学东方学院、同济大学马克思主义学院、南京大学商学院）。DOI: 10.3390\u002Fland15091546。本文基于生态智慧理论，构建『数字技术-生态感知-生态智慧资本』三维联动的系统动力学模型，模拟城市-乡村过渡区可持续食物系统在抵御生境破碎化风险与实现协同稳态演化的动态过程。结果表明：①可持续食物系统的合成稳态跃迁是一种自组织相变过程；②数字技术赋能对系统韧性提升存在显著时滞效应；③适度的数字生态监测投资能够加速系统自组织相变；④核心食物生产空间的生态承载能力具有自适应周期波动机制。",null,"## 1. Introduction\n\nThe world is entering a new era centered on the collaborative governance of development and the environment, with the pursuit of sustainable development becoming a shared vision of human societies [[1](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B1-land-15-01546),[2](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B2-land-15-01546)]. As cities serve as key engines for driving the implementation of sustainable development goals, increasing attention is being given to the sustainability of their development pathways [[1](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B1-land-15-01546),[3](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B3-land-15-01546)], and the pace of urbanization continues to accelerate. According to UN-Habitat statistics, more than half of the global population currently resides in urban areas, and this proportion is expected to increase to 68% by 2050 [[4](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B4-land-15-01546)], making the trend of urbanization irreversible. However, while rapid urbanization promotes socioeconomic progress, it also triggers a series of severe challenges, such as ecosystem degradation [[5](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B5-land-15-01546),[6](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B6-land-15-01546)]. The ecological evolution of urban–rural systems and their derived social consequences impose constraints on the overall achievement of sustainable development goals that cannot be ignored [[7](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B7-land-15-01546),[8](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B8-land-15-01546),[9](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B9-land-15-01546),[10](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B10-land-15-01546)]. In urban–rural fringe areas, urban expansion presents a pattern of “cities surrounding villages, buildings cutting through nature,” leading to habitat fragmentation and the degradation of ecosystem services, which directly threaten the already fragile food systems in these regions. Peri-urban agricultural food systems are not only important sources of fresh agricultural products for cities but also the core carriers of farmland protection and biomass resource cycling. Their multifunctional transformation, ecological degradation, and conflict with the food supply have been identified as high-priority sustainability challenges [[11](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B11-land-15-01546)]. Habitat fragmentation compresses space for food production and disrupts key ecosystem service flows, such as pollination, soil conservation, and water retention, thereby posing systemic risks to the stability and security of the urban food supply by undermining the cycling pathways of resource metabolism. Thus, correct valuation of ecosystem services of peri-urban agricultural spaces and understanding their deep interconnections with the resilience of food systems are prerequisites in order to reduce the disjointed logic among policies and stakeholder perceptions and coordinate regional ecological protection and agricultural development [[12](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B12-land-15-01546)].\n\nIn the context of this challenge, nature-based solutions (NbS) offer a crucial approach to habitat restoration and food system resilience in urban–rural fringe zones. Previous research has indicated that NbS can leverage natural processes to address complex environmental and social challenges and restore degraded habitats and enhance landscape connectivity and ecosystem service supply capacity, thereby reversing the trend of habitat fragmentation [[13](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B13-land-15-01546),[14](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B14-land-15-01546)]. Empirical studies in six European countries and urban and peri-urban areas in China have also confirmed that NbS is significantly effective at promoting ecological restoration, enhancing ecosystem services, and advancing sustainable urbanization [[15](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B15-land-15-01546)]. Notably, the contribution of NbS to food system resilience extends beyond ecological restoration; by restoring pollination networks, improving soil fertility, and regulating microclimates, NbS directly strengthens the ecological foundation of food production. However, urban–rural fringe zones are complex social–ecological systems that are heavily disturbed by anthropogenic activities and are characterized by highly nonlinear and uncertain dynamics. Relying solely on traditional NbS often makes it difficult to achieve rapid responses and precise adaptation to critical changes. In recent years, the rapid development of digital technologies, artificial intelligence, and ecological information sensing has opened new possibilities for overcoming bottlenecks. The ability to capture both high-spatial and high-temporal resolution information on the status of habitats and the flow of ecosystem services can turn information into a useful resource. This, in turn, enables the precise siting, effect monitoring, and adaptive regulation of NbS, turning static ecological restoration into active resilience governance. Scholars noted that the use of digital technologies and artificial intelligence can help increase efficiency in agricultural production, minimize food waste, and make food systems more sustainable [[16](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B16-land-15-01546)], and such technologies have a major data-supportive role in the promotion of sustainable agriculture and the bioeconomy [[17](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B17-land-15-01546)]. Nevertheless, current research on the resilience of food systems in urban–rural fringe zones does not elaborate on how digitalization could be combined with NbS to systematically mitigate food security risks through enhanced ecological intelligence caused by the fragmentation of habitats.\n\nBefore further analysis of the aforementioned research gaps, it is necessary to review the foundational research progress on habitat restoration and spatial governance within urban–rural fringe zones. Habitat fragmentation leads to biodiversity loss, substantial damage to core ecosystem functions, and exacerbation of the degradation of ecosystem services, making restoration measures that increase landscape connectivity extremely urgent [[18](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B18-land-15-01546)]. Fahrig systematically distinguished the independent effects of habitat area loss and spatial configuration fragmentation, further emphasizing the critical importance of addressing habitat fragmentation for biodiversity conservation [[19](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B19-land-15-01546)]. Maintaining landscape connectivity positively contributes to ensuring ecosystem service supply and biodiversity maintenance, whereas habitat fragmentation disrupts ecological processes and weakens ecosystem regulation and service efficiency [[20](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B20-land-15-01546),[21](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B21-land-15-01546)]. In terms of spatial governance, Rahmoun and Zhao developed a spatial structure model to support sustainable urban–rural development. The model uses strategic clusters and spatial networks [[22](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B22-land-15-01546)]. Aflaki Samani et al. proposed a step-by-step planning approach for informal settlements. This approach aims to reduce spatial inequality and improve land management efficiency [[23](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B23-land-15-01546)]. Overall, the existing research has four significant limitations in terms of addressing the resilience of peri-urban food systems. First, most studies fail to systematically link digital technologies, ecological wisdom, and the food-ecological coupling resilience of urban–rural fringe zones; in particular, dynamic simulation analyses of resource metabolism processes and security assurance capacities within food systems are lacking. Although the value of digital technologies in empowering agriculture and food systems has been recognized by the academic community, research based on system dynamics modelling in urban–rural fringe zones to reveal the synergistic effects of digital technologies and NbS is scarce. Second, research perspectives often adopt static empirical analyses, making it difficult to elucidate the multiloop, nonlinear dynamic interaction mechanisms between digital empowerment and ecological restoration in urban–rural fringe zones. Third, existing studies often examine the effects of digital technologies, the ecological impacts of urbanization, or individual NbS cases separately. Few studies combine digital technologies, ecological knowledge, and the resilience of peri-urban social–ecological systems into one framework for integrated analysis. Moreover, the link between resilience building and the coupling mechanisms of sustainable food systems remains unclear. Fourth, current research also shows a practical bias. Ecological protection practices mainly focus on the conservation and management of natural reserves. Less attention has been paid to urban–rural fringe areas, which have complex feedback processes and provide both urban food supply and ecological security functions.\n\nOn the basis of the aforementioned gaps, this study attempts to construct a system dynamics model with a three-dimensional linkage of “digital technology empowerment–ecological wisdom accumulation–system resilience building–food system sustainability,” focusing on whether and how digitalization can enhance the resilience of peri-urban food systems against habitat fragmentation by strengthening the implementation effectiveness of NbS. The model measures key variables, including the application level of digital technologies, ecological wisdom capital, ecological perception and accounting capabilities, system resilience, and resource metabolic efficiency. It examines how food systems in urban–rural fringe zones evolve from fragmented states toward synergistic and sustainable states, with a focus on evolutionary pathways and threshold effects.\n\nThis study follows the logic of “digital technology as the driving force → ecological wisdom capital as the regulatory factor → system resilience as the adaptive response → food system sustainability as the co-evolutionary outcome.” It aims to uncover the mechanisms behind resilience development and transition in urban–rural fringe food systems. Specifically, this study addresses three key questions: First, can digital technologies promote the accumulation of ecological wisdom capital and improve system synergy by enhancing ecological perception and accounting capabilities? Can they also strengthen the role of NbS in habitat restoration and food security? Second, what feedback loops and coupling mechanisms link resource metabolic efficiency with ecological resilience in urban–rural fringe food systems? Third, which key leverage variables help urban–rural fringe food systems cross critical thresholds and shift from fragmented states to synergistic and sustainable states?\n\nTo address these questions, this study starts from the two dimensions of technology and ecological wisdom and uses system dynamics methods to describe and quantify the roles of technological and ecological wisdom factors in the influencing process. It simulates the dynamic process through which digital technology drives urban–rural fringe food systems to resist habitat fragmentation and achieve synergistic and sustainable development and identifies the key mechanisms affecting system transition. This approach has academic value in several ways. First, system dynamics provide an effective tool for describing the multiple feedback loops and nonlinear relationships in the co-evolution between digital technologies and urban–rural fringe food systems. It helps fill the theoretical gap in understanding how resilience develops in peri-urban food systems from a dynamic perspective and provides a methodological reference for future studies. However, through simulation studies, different policy intervention scenarios can be modelled to obtain predictive data, providing more forward-looking scientific evidence for the governance of urban–rural fringe food systems. Additionally, this study introduces abstract concepts, such as “ecological wisdom capital” and “ecological perception and accounting capabilities,” into system dynamics analysis. It explores the key factors that help urban–rural fringe food systems cross synergistic thresholds. This approach addresses the limitation of traditional urban–rural governance studies, which often focus more on empirical description than on identifying underlying mechanisms. This study also provides a new application of advanced system dynamics models in urban–rural sustainable governance research. It strengthens the theoretical understanding of the co-evolution of urban–rural fringe food systems and expands the use of dynamic system theory in studies of urban–rural sustainable development.\n\n## 2. Literature Review and Research Methods\n\n### 2.1. The Connotation and Conceptual Definition of Key Variables\n\nThe core concepts addressed in this study follow a logical hierarchy of “Objective-State-Driving Force.” The sustainable food system is the main focus of this study. The resilience of the food–ecology coupled system and the synergy between food systems and landscape resource metabolism are the key variables used to describe the system’s operating state. Digital technologies and ecological wisdom capital are the main driving forces behind system evolution. These concepts are defined below.\n\n(1)\nSustainable Food Systems: Components of the Objective\n\nThe sustainable food system is the ultimate dependent variable in this study. Drawing on the definition framework of the Food and Agriculture Organization of the United Nations [[24](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B24-land-15-01546)], this study defines it as a system capable of continuously providing food security and nutrition across the three dimensions of the economy, society, and environment, without compromising the ecological foundation for future generations to meet their food needs. Specifically, its components include three pillars: economic sustainability (the economic viability and efficiency of food production activities), social sustainability (the fairness and accessibility of food distribution), and environmental sustainability (the minimal dependence on and depletion of ecosystem services by food production). In the context of the urban–rural fringe, which is the focus of this study, the sustainable food system is further operationalized as a system that, under the pressure of habitat fragmentation, can maintain the ecological foundation for food production, ensure the stability of the food supply for both urban and rural areas, and achieve closed-loop resource metabolism. This operational definition prioritizes environmental sustainability, emphasizing that economic and social sustainability can be realized only by restoring and maintaining healthy ecosystems. In the subsequent system dynamics model, the degree of realization of a sustainable food system is represented by the coupled evolution of the system resilience index and the resource metabolism synergy index.\n\n(2)\nResilience of the Food–Ecology-Coupled System: System Capacity to Cope with Shocks\n\nThe concept of resilience originates from the Latin word “resilio” or “reilire,” meaning “to bounce back or rebound” [[25](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B25-land-15-01546)], and was later introduced into the fields of ecology and social-ecological systems research. References to urban resilience are increasing [[26](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B26-land-15-01546)]. The Intergovernmental Panel on Climate Change [[27](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B27-land-15-01546)] defines resilience as the capacity of a system to cope with hazardous events, trends, or disturbances while maintaining its core functions and structural integrity during change. It is considered a positive attribute when it encompasses the ability to adapt, learn, or transform. The United Nations Office for Disaster Risk Reduction [[28](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B28-land-15-01546)] views it as the ability of a system or community exposed to hazards to possess six capacities: to resist, absorb, adapt, adjust, transform, and recover, emphasizing the timeliness and effectiveness of the response.\n\nAt a more specific ecological level, resilience refers to the ability of an ecosystem to maintain its stable state when subjected to shocks [[29](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B29-land-15-01546)]. The resilience of urban and rural systems can be enhanced through interdependent relationships and partnerships [[15](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B15-land-15-01546)].\n\nThe resilience of the food–ecology coupled system proposed in this study is a contextualized definition based on the aforementioned resilience theories. It views urban and rural areas as one integrated system and focuses on the social–ecological system where food production, ecological security, and socio-economic factors interact across the urban–rural continuum. It examines three types of capacity. First, resistance capacity refers to the ability to withstand disturbances, such as habitat fragmentation, resource pressure, and climate variability, while maintaining basic food production functions. Second, recovery capacity refers to the ability to return to the original functional state after disturbances. Third, transformation capacity refers to the ability to shift toward a more sustainable state under long-term pressure by changing system structures, such as adopting NbS and applying digital technologies. In contrast to the general concept of ecological resilience, this concept emphasizes the coupling of food production and ecological functions; enhancing resilience must simultaneously serve the dual goals of food security and ecosystem health. This resilience inherently includes the capacity to restore habitats, improve landscape connectivity, and enhance ecosystem service supply through nature-based solutions, thereby consolidating the ecological foundation for food production. At the model quantification level, the system resilience index is represented on a standardized scale of 0–1, with an initial value set at 0.35, reflecting the system’s typical transitional state between vulnerability and resilience. Its dynamic evolution is driven by the evolution of resilience and decay rates.\n\n(3)\nFood system–landscape resource metabolism synergy: Degree of evolution from disorder to order\n\nSynergistic phenomena exist in all domains of nature. Synergetics originated from general systems theory and was formally established by the German Professor Hermann Haken in the 1970s. In any complex open system, the interactions and mutual influences among its internal subsystems generate comprehensive and collective effects, namely, synergistic effects, that drive the system from disorder to order, resulting in the formation of stable structures [[30](https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F9\u002F1546#B30-land-15-01546)].\n\nIn this study, the degree of synergy between food system and landscape resource metabolism specifically refers to the degree of synergy between the food system and surrounding landscapes in urban–rural fringe areas, particularly in terms of the flow and transformation of key elements such as water resources, energy, and biomass required for food production. This concept characterizes the evolutionary progression of the food system from disordered fragmentation to orderly synergy, and its essence can be understood as the reduction in the mismatch coefficient of food production factors between urban and rural areas. When habitat fragmentation obstructs resource metabolism pathways,","MDPI Land 2026, 15(9), 1546 · 2026-08-24","2026-08-24T00:00:00Z","论文",10,false,62,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":20,"relevant":21,"comment":22},12,18,16,4,1,"论文探讨数字化赋能城乡过渡区食物系统韧性，方法新颖，但影响范围有限，时效性一般。",[24],{"name":10,"url":6},[26,27,28,29,30,31],"模拟","数字赋能","城乡过渡区","可持续食物系统","系统动力学","MDPI Land 15 9",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":54,"reason":55},[39,44,49],{"code":40,"score":21,"supported":14,"title":41,"abstract":42,"tags":43},"E2",[],[],[29],{"code":45,"score":21,"supported":14,"title":46,"abstract":47,"tags":48},"I1",[],[],[27],{"code":50,"score":21,"supported":14,"title":51,"abstract":52,"tags":53},"I2",[],[],[30],true,"缺少足够的主题证据",[57,58],"可持续食物系统 城乡过渡区 系统动力学 数字赋能","可持续食物系统 城乡过渡区","可持续食物系统城乡过渡区系统动力学数字赋能-1003","2026-08-27T00:05:20.371076Z",{"total":62,"page":21,"page_size":62,"items":63},6,[64,147,218,281,335,405],{"id":65,"title":66,"url":67,"summary":68,"summary_zh":69,"content":8,"source_name":70,"source_url":67,"published_at":71,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":72,"score_detail":73,"sources":79,"tags":81,"primary_topic":86,"secondary_topics":92,"classification":93,"search_phrases":118,"slug":121,"view_count":122,"doi":123,"paper":124,"created_at":146},4980,"Creating common ground: integrating transformative agroecology and extension research in undergraduate education","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1882768","This paper examines the Agroecology Extension (AX) summer Research Fellowship at the University of Vermont, a 5-year USDA-funded undergraduate program that intentionally integrated extension research with agroecology education within a land-grant university context. Drawing on predominantly qualitative evaluation of five cohorts (2021–2025, n = 47), we identify enabling and constraining pedagogical factors for creating common ground between two domains that remain institutionally separated at most land-grant universities. The study contributes to the emerging signature pedagogy for sustainable food systems education by documenting how three interconnected pedagogical dynamics—integrating political agroecology with extension, centering equity as a sustained commitment, and supporting participatory knowledge co-creation with students—shaped program design and evolution across 5 years. Findings demonstrate that transformative education at the intersection of agroecology and extension requires explicit engagement with the political dimensions of agroecology and extension history, relational infrastructure for equity work, and deliberate structures for co-learning. This case study offers practical pedagogical insights for land-grant universities seeking to develop sustainable programs that bridge agroecology and extension while preparing graduates to address complex agricultural and food systems challenges.","本文考察了佛蒙特大学的农业生态学推广（Agroecology Extension, AX）暑期研究奖学金项目。该项目由美国农业部资助，为期五年，是一项本科生项目，在赠地大学（land-grant university）语境下有意将推广研究与农业生态学教育相结合。基于对五届学员（2021—2025年，n = 47）的以定性为主的评估，我们识别了在大多数赠地大学中仍处于制度性分离状态的两个领域之间建立共同基础（common ground）的促进性与制约性教学因素。本研究通过记录三种相互关联的教学动态——将政治农业生态学与推广相结合、将公平作为持续承诺加以中心化、以及支持与学生共同进行参与式知识共创——如何在五年间塑造了项目设计与演变，为可持续食物系统教育的新兴标志性教学法（signature pedagogy）作出了贡献。研究结果表明，在农业生态学与推广的交汇处开展变革性教育，需要明确介入农业生态学的政治维度与推广历史、建立支持公平工作的关系性基础设施，以及为共同学习设计有意的制度结构。本案例研究为那些寻求开发可持续项目、以弥合农业生态学与推广之间鸿沟、同时培养毕业生应对复杂农业与食物系统挑战的赠地大学提供了实践性教学启示。","Frontiers in Sustainable Food Systems","2026-10-14T00:00:00Z",65,{"impact":74,"substance":18,"depth":75,"authority":76,"freshness":77,"relevant":21,"comment":78},8,17,13,9,"美国赠地大学农业生态学与推广教育融合的五年期本科项目案例研究，方法扎实但属境外教育实践，对国内三农信息化仅有间接参考价值。",[80],{"name":70,"url":67},[29,82,83,84,85],"农业教育","农业推广","生态农业","参与式研究",{"code":87,"slug":88,"name":89,"path":90,"parent_code":91},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[],{"status":94,"locked":14,"version":35,"method":36,"evidence":95},"classified",{"candidates":96,"agricultural_evidence":54},[97,104,108,113],{"code":87,"score":98,"supported":54,"title":99,"abstract":101,"tags":103},14,[100],"agroecology",[102,100],"农业生态",[],{"code":40,"score":21,"supported":14,"title":105,"abstract":106,"tags":107},[],[],[29],{"code":109,"score":21,"supported":14,"title":110,"abstract":111,"tags":112},"G1",[],[],[83],{"code":114,"score":21,"supported":14,"title":115,"abstract":116,"tags":117},"H8",[],[],[84],[119,120],"佛蒙特大学 农业推广 生态农业","可持续食物系统 参与式研究 农业推广 农业教育","佛蒙特大学农业推广生态农业-4980",0,"10.3389\u002Ffsufs.2026.1882768",{"doi":123,"openalex_id":125,"authors":126,"venue":70,"cited_by_count":122,"oa_url":138,"card":139,"direction":143,"ingested_from":145},"W7221806502",[127,130,133,135],{"name":128,"orcid":129},"Karen L. Nordstrom","https:\u002F\u002Forcid.org\u002F0009-0007-4326-3854",{"name":131,"orcid":132},"Victor M. Izzo","https:\u002F\u002Forcid.org\u002F0000-0002-0254-1105",{"name":134,"orcid":8},"Emily Hoyler",{"name":136,"orcid":137},"V. Ernesto Méndez","https:\u002F\u002Forcid.org\u002F0000-0001-7394-5679","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1882768\u002Fpdf",{"tldr":140,"method":141,"finding":142,"direction":143,"opportunity":144},"评估佛蒙特大学五年农业生态推广暑期研究奖学金，探索如何整合农业生态学与推广教育。","对2021-2025年五届47名学员进行定性评估，分析教学促进与制约因素。","需明确参与农业生态政治维度、建立公平关系基础设施和共同学习结构。","其他","可研究此类跨学科体验式教育对毕业生推广实践与农业系统转型的长期影响。","openalex","2026-10-15T23:30:06.661415Z",{"id":148,"title":149,"url":150,"summary":151,"summary_zh":152,"content":8,"source_name":70,"source_url":150,"published_at":153,"category":12,"cover_url":8,"hotness":154,"is_selected":14,"score":155,"score_detail":156,"sources":158,"tags":166,"primary_topic":171,"secondary_topics":177,"classification":178,"search_phrases":201,"slug":204,"view_count":21,"doi":205,"paper":206,"created_at":217},4795,"Digital tax governance and resilient agricultural machinery investment: a lifecycle analysis of an upstream pathway to sustainable food systems in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1978360","Introduction Tax incentives can support agricultural-machinery investment, but their value depends on taxable capacity, documentary evidence, and timing. Methods We use a policy-calibrated single-case simulation of Company A to evaluate 432 prespecified lifecycle rules across ten demand-policy stress paths for 2026–2033. The model integrates value-added tax, corporate income tax, R&D incentives, tax-loss and credit vintages, investment timing, and model-implied adjustment exposure. Scenario weights are judgmental rather than estimated frequencies. Results The constrained rule combines 7% R&D, equipment and retrofit in 2026, straight-line tax depreciation, and no exemption-based separate accounting. Its expected NPV is CNY 16.82 million and its 20% lower-tail CVaR is CNY 12.61 million. Expected NPV is 5.40% higher than under Company A’s static plan but only 1.51% higher than under baseline compliance. Relative to baseline, CVaR is 5.82% lower and risk-adjusted NPV is essentially unchanged. Discussion These results are conditional on the stated parameters. The proposed food-system pathway is theoretical because machinery adoption, farm output, prices, diets, and nutrition are not observed.","引言 税收激励可以支持农业机械投资，但其价值取决于应税能力、文档证据和时机。方法 我们对公司A进行政策校准的单案例模拟，以评估2026—2033年十条需求政策压力路径下的432项预设生命周期规则。该模型整合了增值税、企业所得税、研发激励、税收亏损与抵免的年份归属、投资时机以及模型隐含的调整敞口。情景权重是判断性的，而非估计频率。结果 受约束规则结合了2026年7%的研发、设备与改造，直线法税收折旧，以及不采用基于免税的单独核算。其预期净现值为1682万元人民币，其20%下尾CVaR为1261万元人民币。预期净现值比公司A的静态计划高5.40%，但仅比基线合规高1.51%。相对于基线，CVaR低5.82%，风险调整后净现值基本不变。讨论 这些结果以所述参数为条件。所提出的食物系统路径是理论性的，因为机械采用、农场产出、价格、饮食和营养均未被观测到。","2026-10-12T00:00:00Z",40,64,{"impact":74,"substance":18,"depth":19,"authority":76,"freshness":77,"relevant":21,"comment":157},"以单一企业仿真评估农机投资税收规则，方法有增量但结论为条件性理论推演，产业公共价值有限，可作参考不宜精选。",[159,160,163],{"name":70,"url":150},{"name":161,"url":162},"Frontiers in Sustainable Food Systems 10 2026-10-13","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1978360\u002Ffull",{"name":164,"url":165},"Frontiers in Sustainable Food Systems 10(2026)","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1978360\u002Fabstract",[167,168,29,169,170],"数字乡村","农机装备","农业投资","税收政策",{"code":172,"slug":173,"name":174,"path":175,"parent_code":176},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","F",[],{"status":94,"locked":14,"version":35,"method":36,"evidence":179},{"candidates":180,"agricultural_evidence":54},[181,187,191,196],{"code":172,"score":17,"supported":54,"title":182,"abstract":184,"tags":186},[183],"agricultural machinery",[185],"农业机械",[168],{"code":40,"score":21,"supported":14,"title":188,"abstract":189,"tags":190},[],[],[29],{"code":192,"score":21,"supported":14,"title":193,"abstract":194,"tags":195},"G3",[],[],[169],{"code":197,"score":21,"supported":14,"title":198,"abstract":199,"tags":200},"I6",[],[],[167],[202,203],"农业机械 投资 税收 激励","农机 生命周期 税负 模拟","农业机械投资税收激励-4795","10.3389\u002Ffsufs.2026.1978360",{"doi":205,"openalex_id":207,"authors":208,"venue":70,"cited_by_count":122,"oa_url":150,"card":211,"direction":215,"ingested_from":145},"W7221573002",[209],{"name":210,"orcid":8},"Mingya Wei",{"tldr":212,"method":213,"finding":214,"direction":215,"opportunity":216},"通过单案例仿真评估中国农机投资在税收激励下的生命周期财务表现与风险。","政策校准单案例仿真，整合增值税、所得税、研发激励与投资时机，评估432种规则。","约束规则预期NPV为1682万元，较静态计划高5.40%，但风险调整后NPV基本不变。","数字乡村与农业信息化","可结合真实农机采用与农场产出数据，验证税收激励对可持续食物系统的实际效果。","2026-10-13T23:30:07.063312Z",{"id":219,"title":220,"url":221,"summary":222,"summary_zh":223,"content":8,"source_name":70,"source_url":221,"published_at":224,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":122,"score_detail":225,"sources":227,"tags":229,"primary_topic":8,"secondary_topics":232,"classification":233,"search_phrases":249,"slug":252,"view_count":253,"doi":254,"paper":255,"created_at":280},4480,"Drivers of organic food purchase intentions in India: implications for sustainable food systems using PLS-SEM and fsQCA","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1815057","Introduction The growing interest in organic food is driven by heightened consumer awareness of health, food safety, and environmental sustainability. In India, rising income levels and lifestyle changes have accelerated this shift. This study explores the factors that affect consumers’ willingness to buy organic food by examining food safety concerns, natural content, nutritional concerns, health consciousness, attitude, and religion. Methods The survey was conducted among 256 potential consumers in the Delhi NCR region using convenience sampling. A combined methodology was utilised, incorporating partial least squares structural equation modelling (PLS-SEM) alongside fuzzy-set qualitative comparative analysis (fsQCA) to gain both symmetric and asymmetric insights. PLS-SEM was employed to analyse the direct effects and validate the theoretical framework. Furthermore, fsQCA was employed to explore the necessary conditions and configurations of variables that lead to high purchase intention. Results PLS-SEM results demonstrate that concerns related to food safety, health consciousness, and nutritional concerns significantly impact purchase intentions. The fsQCA results reveal that health consciousness and attitude are necessary conditions, while various combinations serve as sufficient configurations, thereby supporting the principle of equifinality. Discussion These findings suggest that consumers’ intentions are shaped not only by individual drivers but also by the complex interplay of multiple factors. This study offers valuable insights for policymakers and marketers to design targeted, multidimensional strategies to promote organic food consumption.","引言 消费者对健康、食品安全和环境可持续性的意识不断增强，推动了人们对有机食品日益增长的兴趣。在印度，收入水平的提高和生活方式的改变加速了这一转变。本研究通过考察食品安全担忧、天然成分、营养担忧、健康意识、态度和宗教等因素，探讨影响消费者购买有机食品意愿的因素。方法 采用便利抽样法，对德里国家首都辖区（Delhi NCR）的256名潜在消费者进行了调查。本研究采用混合方法，结合偏最小二乘结构方程模型（PLS-SEM）与模糊集定性比较分析（fsQCA），以获得对称和非对称两方面的洞见。运用PLS-SEM分析直接效应并验证理论框架。此外，采用fsQCA探索导致高购买意愿的必要条件及变量组合。结果 PLS-SEM结果表明，食品安全担忧、健康意识和营养担忧显著影响购买意愿。fsQCA结果揭示，健康意识和态度是必要条件，而多种组合可作为充分条件，从而支持了殊途同归原则。讨论 这些发现表明，消费者的意愿不仅受个体驱动因素的影响，还受到多种因素复杂交互作用的塑造。本研究为政策制定者和营销人员设计有针对性的多维策略以促进有机食品消费提供了有价值的见解。","2026-10-08T00:00:00Z",{"impact":122,"substance":122,"depth":122,"authority":122,"freshness":122,"relevant":122,"comment":226},"研究印度消费者有机食品购买意愿，属消费行为与可持续食物系统范畴，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[228],{"name":70,"url":221},[29,230,231],"消费者行为","有机食品",[],{"status":234,"locked":14,"version":35,"method":36,"evidence":235},"needs_review",{"candidates":236,"agricultural_evidence":14,"reason":248},[237,244],{"code":238,"score":62,"supported":54,"title":239,"abstract":240,"tags":243},"E4",[],[241,242],"食品安全","food safety",[],{"code":40,"score":21,"supported":14,"title":245,"abstract":246,"tags":247},[],[],[29],"农业相关性需要复核",[250,251],"印度 有机食品 购买意愿","可持续食物系统 消费者行为 有机食品","印度有机食品购买意愿-4480",2,"10.3389\u002Ffsufs.2026.1815057",{"doi":254,"openalex_id":256,"authors":257,"venue":70,"cited_by_count":122,"oa_url":221,"card":275,"direction":215,"ingested_from":145},"W7221009207",[258,260,262,265,268,270,272],{"name":259,"orcid":8},"Ruqaiya Firdaus",{"name":261,"orcid":8},"Zeba Danish",{"name":263,"orcid":264},"Omama Zaman","https:\u002F\u002Forcid.org\u002F0009-0004-3345-1067",{"name":266,"orcid":267},"Areiba Arif","https:\u002F\u002Forcid.org\u002F0000-0002-5441-4941",{"name":269,"orcid":8},"Wajahat Mazahar Khan",{"name":271,"orcid":8},"Ahmad Fallatah",{"name":273,"orcid":274},"Shabana Urooj","https:\u002F\u002Forcid.org\u002F0000-0002-1477-8759",{"tldr":276,"method":277,"finding":278,"direction":215,"opportunity":279},"用PLS-SEM与fsQCA分析印度消费者有机食品购买意愿的驱动因素。","德里NCR地区256份问卷，PLS-SEM结合fsQCA分析。","食品安全、健康意识、营养关注显著影响购买意愿，健康意识与态度为必要条件。","可将该混合方法迁移至中国数字乡村场景，研究电商平台有机农产品消费决策路径。","2026-10-09T23:30:06.106260Z",{"id":282,"title":283,"url":284,"summary":285,"summary_zh":286,"content":8,"source_name":287,"source_url":284,"published_at":288,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":289,"score_detail":290,"sources":293,"tags":295,"primary_topic":8,"secondary_topics":300,"classification":301,"search_phrases":309,"slug":312,"view_count":122,"doi":313,"paper":314,"created_at":334},4226,"A Prescriptive Analytics Framework for Optimizing the Indonesian Salt Supply Chain Using System Dynamics and Data-Driven Decision Support","https:\u002F\u002Fdoi.org\u002F10.48084\u002Fetasr.20173","The Indonesian salt supply chain is characterized by persistent price volatility, supply-demand imbalances, and limited decision-support tools for policy development. Current models are mostly descriptive or predictive and provide forecasts with little actionable advice. This study presents a prescriptive analytics framework that couples a calibrated system dynamics model with a mixed-integer linear programming optimization model to assist in monthly decision-making regarding buffer stock release, import quota allocation, and distribution routing. The system dynamics model was calibrated using historical data (2020–2025), and the key stocks, flows, and feedback loops in the Indonesian salt supply chain were captured. The optimization model minimizes the weighted objective function of price volatility, service level, and logistics cost under inventory balance, capacity, and non-negativity constraints. An evaluation with 100 stochastic scenarios shows that the proposed framework reduces the average monthly price volatility by 23.4% and improves the service level from 81.6% to 94.1% relative to the baseline heuristic policies, with a 6.3% increase in logistics cost. A sensitivity analysis indicates that a buffer stock capacity of at least 15% of the annual consumption is required to maintain price stability. The proposed framework offers a data-driven decision-support approach for translating supply chain forecasts into actionable policy recommendations.","印度尼西亚食盐供应链长期存在价格波动、供需失衡以及政策制定缺乏决策支持工具等问题。现有模型多为描述性或预测性模型，仅提供预测结果而缺乏可操作的建议。本研究提出一个规范性分析框架，将校准后的系统动力学模型与混合整数线性规划优化模型相耦合，以辅助月度决策，涉及缓冲库存投放、进口配额分配和配送路径规划。系统动力学模型利用2020—2025年历史数据进行校准，捕捉了印度尼西亚食盐供应链中的关键存量、流量和反馈回路。优化模型在库存平衡、产能和非负性约束下，最小化价格波动、服务水平和物流成本的加权目标函数。基于100个随机情景的评估表明，相较于基准启发式策略，所提框架将月均价格波动降低23.4%，服务水平从81.6%提升至94.1%，物流成本增加6.3%。敏感性分析表明，缓冲库存容量至少需达到年消费量的15%才能维持价格稳定。所提框架为将供应链预测转化为可操作的政策建议提供了一种数据驱动的决策支持方法。","Engineering Technology & Applied Science Research","2026-10-02T00:00:00Z",80,{"impact":18,"substance":291,"depth":18,"authority":76,"freshness":77,"relevant":21,"comment":292},22,"将系统动力学与混合整数规划结合用于印尼盐供应链的处方性分析，方法新颖、数据与情景验证扎实，对农产品供应链数字化决策有参考价值，但属境外细分行业研究，公共影响层级有限。",[294],{"name":287,"url":284},[30,296,297,298,299],"供应链优化","数据驱动决策","盐业","政策模拟",[],{"status":234,"locked":14,"version":35,"method":36,"evidence":302},{"candidates":303,"agricultural_evidence":14,"reason":248},[304],{"code":50,"score":77,"supported":54,"title":305,"abstract":307,"tags":308},[306],"decision support",[],[30],[310,311],"印尼 盐业 供应链","系统动力学 供应链 优化","印尼盐业供应链-4226","10.48084\u002Fetasr.20173",{"doi":313,"openalex_id":315,"authors":316,"venue":287,"cited_by_count":122,"oa_url":326,"card":327,"direction":333,"ingested_from":145},"W7218850393",[317,320,323],{"name":318,"orcid":319},"Titus Kristanto","https:\u002F\u002Forcid.org\u002F0000-0003-2202-441X",{"name":321,"orcid":322},"Ahmad Saikhu","https:\u002F\u002Forcid.org\u002F0000-0001-8753-263X",{"name":324,"orcid":325},"Bilqis Amaliah","https:\u002F\u002Forcid.org\u002F0000-0003-3154-8653","https:\u002F\u002Fwww.etasr.com\u002Findex.php\u002FETASR\u002Farticle\u002Fdownload\u002F20173\u002F7147",{"tldr":328,"method":329,"finding":330,"direction":331,"opportunity":332},"构建系统动力学与混合整数规划耦合的规范性分析框架，优化印尼盐供应链决策。","系统动力学模型校准2020-2025数据，结合MILP优化与100次随机情景评估","框架使月均价格波动降23.4%，服务水平从81.6%升至94.1%，物流成本增6.3%。","农业人工智能与决策模型","可将该规范性分析框架迁移至其他农产品供应链，并探索实时数据驱动的动态决策优化。","智慧农业 \u002F 农业物联网","2026-10-05T23:30:15.582890Z",{"id":336,"title":337,"url":338,"summary":339,"summary_zh":340,"content":8,"source_name":70,"source_url":338,"published_at":341,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":342,"score_detail":343,"sources":346,"tags":348,"primary_topic":353,"secondary_topics":359,"classification":360,"search_phrases":373,"slug":376,"view_count":21,"doi":377,"paper":378,"created_at":404},4203,"Moderate-scale operation of family farms in China: underlying logic, practical constraints, and optimization pathways for sustainable food systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1937247","The transformation of sustainable food systems must reconcile production efficiency and supply resilience with the protection of smallholder livelihoods, and for economies with large populations and limited arable land this reconciliation rests heavily on how the scale of family-farm operation is understood and organized. The academic community has long held theoretical disagreements on this issue between static efficiency standards and dynamic equilibrium perspectives, and no integrated explanatory framework that combines economic logic, social context and temporal dimensions has yet been established. Drawing on new institutional economics, economic sociology, family life-cycle theory and intergenerational transmission theory, and proceeding through theoretical deduction, institutional context analysis and secondary evidence from policy documents, official statistics and literature, this paper develops a triple-constraint dynamic equilibrium framework for the moderate-scale operation of family farms in China; its purpose is explanatory rather than estimative, since no uniform optimal scale is defensible across heterogeneous regional endowments, crop systems, service conditions and family structures. The framework holds that moderate scale is not a fixed value set externally but a dynamic equilibrium interval of operating scale: the economic-efficiency constraint sets its lower bound, the social-embeddedness constraint sets its upper bound, and the intergenerational-sustainability constraint operates as an independent temporal condition that also moderates the position and width of the interval as the family life cycle and succession arrangements change. Seen thus, the factor-market, organisational-coordination and temporal-dimension failures observable in practice appear as three structural tensions that jointly compress the feasible interval and constrain the contribution of family farms to sustainable food-system goals. The contribution lies in bringing social embeddedness and intergenerational sustainability into the analysis of moderate scale, moving beyond a single-efficiency account and offering an integrated explanatory framework for the evolution of family-farm scale in transition economies with fragmented landholdings and household-centred production. The framework applies directly to family farms and other family-centred operations; its three constraints are analytically general, whereas their relative binding strength, the interval's position and the associated policy instruments remain conditional on the institutional environment, particularly China's collective land ownership and household contract responsibility system, so that its reference value for other transition economies is conditional rather than universal.","可持续食物系统的转型必须协调生产效率与供给韧性同小农生计保护之间的关系，而对于人口众多、耕地有限的经济体而言，这种协调在很大程度上取决于如何理解与组织家庭农场的经营规模。学术界长期以来在这一问题上存在理论分歧，表现为静态效率标准与动态均衡视角之间的对立，且尚未建立起一个将经济逻辑、社会情境与时间维度相结合的综合解释框架。本文借鉴新制度经济学、经济社会学、家庭生命周期理论与代际传承理论，通过理论推演、制度情境分析以及来自政策文件、官方统计与文献的二手证据，构建了中国家庭农场适度规模经营的三重约束动态均衡框架；其目的在于解释而非估算，因为在异质的区域禀赋、作物体系、服务条件与家庭结构之间，并不存在一个统一的最优规模。该框架认为，适度规模并非由外部设定的固定数值，而是经营规模的一个动态均衡区间：经济效率约束设定其下限，社会嵌入性约束设定其上限，而代际可持续性约束则作为独立的时间条件发挥作用，并随着家庭生命周期与继承安排的变化调节该区间的位置与宽度。由此观之，实践中可观察到的要素市场、组织协调与时间维度失灵，表现为三种结构性张力，它们共同压缩了可行区间，并制约了家庭农场对可持续食物系统目标的贡献。本文的贡献在于将社会嵌入性与代际可持续性纳入适度规模分析，超越单一效率解释，并为土地细碎化、以家庭为中心生产的转型经济体提供家庭农场规模演变的综合解释框架。该框架直接适用于家庭农场及其他以家庭为中心的经营活动；其三重约束在分析上具有一般性，而它们的相对约束强度、区间的位置以","2026-10-05T00:00:00Z",73,{"impact":17,"substance":344,"depth":18,"authority":76,"freshness":13,"relevant":21,"comment":345},20,"理论性论文，提出三重约束动态均衡框架，对家庭农场适度规模经营有解释力，但偏学术、政策落地性有限。",[347],{"name":70,"url":338},[349,29,350,351,352],"家庭农场","土地制度","适度规模经营","代际传承",{"code":354,"slug":355,"name":356,"path":357,"parent_code":358},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":94,"locked":14,"version":35,"method":36,"evidence":361},{"candidates":362,"agricultural_evidence":54},[363,369],{"code":354,"score":364,"supported":54,"title":365,"abstract":366,"tags":368},7,[],[349,367],"smallholder",[349],{"code":40,"score":21,"supported":14,"title":370,"abstract":371,"tags":372},[],[],[29],[374,375],"家庭农场 适度规模经营","中国 家庭农场 可持续食物系统","家庭农场适度规模经营-4203","10.3389\u002Ffsufs.2026.1937247",{"doi":377,"openalex_id":379,"authors":380,"venue":70,"cited_by_count":122,"oa_url":338,"card":399,"direction":215,"ingested_from":145},"W7219629671",[381,384,386,388,390,393,395,397],{"name":382,"orcid":383},"Ning Ding","https:\u002F\u002Forcid.org\u002F0000-0001-5618-6359",{"name":385,"orcid":8},"Jingjing Wang",{"name":387,"orcid":8},"Yong Xia",{"name":389,"orcid":8},"Fuhong Wang",{"name":391,"orcid":392},"Guirong Wang","https:\u002F\u002Forcid.org\u002F0009-0000-3917-003X",{"name":394,"orcid":8},"Yi Lyu",{"name":396,"orcid":8},"Ziyang Wang",{"name":398,"orcid":8},"Yijuan Yang",{"tldr":400,"method":401,"finding":402,"direction":215,"opportunity":403},"构建三重约束动态均衡框架，解释中国家庭农场适度规模经营逻辑与优化路径。","新制度经济学、经济社会学、家庭生命周期与代际传递理论，结合政策与统计数据。","适度规模是动态均衡区间：经济效率定下限，社会嵌入定上限，代际可持续为时间条件。","可实证测度三重约束的区间边界，并探究数字技术如何缓解要素市场与组织协调失灵。","2026-10-05T23:30:07.088111Z",{"id":406,"title":407,"url":408,"summary":409,"summary_zh":410,"content":8,"source_name":70,"source_url":408,"published_at":411,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":412,"score_detail":413,"sources":416,"tags":418,"primary_topic":8,"secondary_topics":423,"classification":424,"search_phrases":440,"slug":443,"view_count":122,"doi":444,"paper":445,"created_at":464},3813,"Pioneering AI adoption in downstream food service: structural drivers of operator intentions and implications for sustainable food systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1930406","Background \u002F Introduction Integrating digital innovations into downstream food service operations is essential for transitioning toward sustainable food systems. This study investigates the factors influencing restaurant employees’ and operators’ intentions to adopt artificial intelligence (AI) within the Taiwanese restaurant sector. Methods The study utilizes survey data collected from 176 food service participants. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) based on an extended Technology Acceptance Model (TAM), which incorporates subjective norms, operational compatibility, and facilitating conditions. Results The findings confirm classic TAM axioms and demonstrate the impact of external socio-technical factors. Subjective norms exert a strong influence on both perceived usefulness and perceived ease of use, with the greatest impact on perceived usefulness. Additionally, system compatibility positively influences perceived ease of use while showing no significant effect on perceived usefulness, whereas facilitating conditions produce non-significant relationships with both core TAM dimensions. Finally, operator attitudes correlate positively with utility and ease of use perceptions, with perceived usefulness acting as the primary factor that strongly predicts the intention to use AI solutions. Discussion \u002F Conclusion While the study focuses on adoption intentions rather than actual waste reduction, the findings offer practical implications for scaling up digital tools. These tools can indirectly support inventory optimization and resource efficiency within commercial food service workflows.","背景\u002F引言：将数字创新融入下游餐饮服务运营，对于向可持续食品系统转型至关重要。本研究探讨了影响台湾餐饮业员工和经营者采用人工智能（AI）意向的因素。方法：本研究利用从176名餐饮服务参与者收集的调查数据。基于扩展的技术接受模型（TAM），该模型纳入了主观规范、运营兼容性和便利条件，采用偏最小二乘结构方程模型（PLS-SEM）对数据进行分析。结果：研究结果证实了经典TAM公理，并展示了外部社会技术因素的影响。主观规范对感知有用性和感知易用性均有强烈影响，其中对感知有用性的影响最大。此外，系统兼容性正向影响感知易用性，而对感知有用性无显著影响，而便利条件与两个核心TAM维度均呈现非显著关系。最后，经营者态度与效用和易用性感知呈正相关，其中感知有用性是强烈预测使用AI解决方案意向的主要因素。讨论\u002F结论：虽然本研究聚焦于采用意向而非实际浪费减少，但研究结果为扩大数字工具的应用提供了实践启示。这些工具可以在商业餐饮服务工作流程中间接支持库存优化和资源效率。","2026-09-29T00:00:00Z",63,{"impact":74,"substance":18,"depth":414,"authority":76,"freshness":77,"relevant":21,"comment":415},15,"基于扩展TAM模型对台湾餐饮从业者AI采纳意愿的实证研究，方法规范、数据可靠，但样本仅176人且聚焦采纳意愿而非实际减废效果，属细分领域学术进展。",[417],{"name":70,"url":408},[419,420,29,421,422],"智慧农业","农业人工智能","餐饮数字化","技术接受模型",[],{"status":234,"locked":14,"version":35,"method":36,"evidence":425},{"candidates":426,"agricultural_evidence":14,"reason":248},[427,432,436],{"code":50,"score":20,"supported":54,"title":428,"abstract":429,"tags":431},[],[430],"artificial intelligence",[420],{"code":40,"score":21,"supported":14,"title":433,"abstract":434,"tags":435},[],[],[29],{"code":45,"score":21,"supported":14,"title":437,"abstract":438,"tags":439},[],[],[419],[441,442],"台湾 餐饮业 AI 采纳","餐饮从业者 人工智能 采纳意愿","台湾餐饮业AI采纳-3813","10.3389\u002Ffsufs.2026.1930406",{"doi":444,"openalex_id":446,"authors":447,"venue":70,"cited_by_count":122,"oa_url":458,"card":459,"direction":215,"ingested_from":145},"W7214701689",[448,451,454,456],{"name":449,"orcid":450},"Massoud Moslehpour","https:\u002F\u002Forcid.org\u002F0000-0001-8808-2407",{"name":452,"orcid":453},"Hanif Rizaldy","https:\u002F\u002Forcid.org\u002F0000-0002-9181-5592",{"name":455,"orcid":8},"Ifat Batul",{"name":457,"orcid":8},"Chen-Chih John Yuan","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1930406\u002Fpdf",{"tldr":460,"method":461,"finding":462,"direction":215,"opportunity":463},"基于扩展TAM模型，分析台湾餐饮从业者采用AI的意向及影响因素。","对176名餐饮参与者问卷调查，用PLS-SEM分析扩展技术接受模型。","主观规范显著影响感知有用性和易用性，感知有用性是采用AI意向的首要预测因素。","可延伸至农业下游食品服务场景，探究AI采用意向如何转化为实际减损与资源效率提升。","2026-09-30T23:30:07.092904Z"]