[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3147":3,"related-3147":72},{"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":50,"slug":53,"view_count":54,"doi":55,"paper":56,"created_at":71},3147,"Cascading failure mechanisms in the fresh agricultural product supply chain of China’s Yangtze River Delta","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1956954","Owing to product perishability and tight inter-firm coupling, fresh agricultural product supply chains are exceptionally vulnerable to cascading failures. Drawing on complex adaptive systems and supply chain resilience theory, this study constructs a real supply chain network of China’s Yangtze River Delta, comprising 1,669 firm nodes and 6,139 supply–demand edges, from enterprise registration records and listed-company disclosures. Perishability is embedded directly in the cascading failure model: a Sigmoid function characterizes overload and underload failure probabilities continuously, load redistribution weights decay with physical distance, and a cumulative load threshold captures progressive deterioration under sustained mild shocks. The DebtRank algorithm, combined with load weights, re-identifies core risk nodes; a dynamic recovery indicator characterizes post-cascade self-repair; and optimal values of the inventory elasticity coefficient ( ε ) and distance decay coefficient ( λ ) are solved through a cost–benefit trade-off. Simulations under random and deliberate attacks show that the network is highly heterogeneous ( γ = 1.214), robust to random attacks yet fragile to deliberate ones: removing merely 10% of the highest-degree nodes destroys roughly 80% of connectivity efficiency, a nonlinear critical phase transition. The cumulative threshold mechanism contributes a real but small additional loss under sustained mild shocks, essentially symmetric between attack types rather than a dominant driver of resilience loss; DebtRank uncovers hidden risk nodes underestimated by degree centrality; post-cascade recovery restores failed nodes at a similar rate regardless of attack type, but restores connectivity efficiency mainly after random attacks, since an importance-blind recovery process is unlikely to reinstate the specific hubs that connectivity depends on; ε exhibits a plateau-type optimum at 0.35–0.45, whereas the resilience benefit of geographic concentration ( λ ) saturates rapidly. Four quantitative strategies (tiered hub protection, moderate inventory buffering, diversified emergency collaboration, and pre-positioned recovery) directly support SDG 12 and SDG 13.","由于产品易腐性和企业间紧密耦合，生鲜农产品供应链极易发生级联失效。本研究基于复杂适应系统和供应链韧性理论，利用企业注册记录和上市公司披露信息，构建了中国长三角地区真实供应链网络，包含1669个企业节点和6139条供需边。易腐性被直接嵌入级联失效模型：采用Sigmoid函数连续刻画过载和欠载失效概率，负载重分配权重随物理距离衰减，累积负载阈值捕捉持续轻度冲击下的渐进性恶化。结合负载权重的DebtRank算法重新识别核心风险节点；动态恢复指标刻画级联后自修复能力；通过成本-收益权衡求解库存弹性系数（ε）和距离衰减系数（λ）的最优值。随机攻击和蓄意攻击下的仿真表明，该网络具有高度异质性（γ = 1.214），对随机攻击具有鲁棒性，但对蓄意攻击极为脆弱：仅移除10%的最高度节点即破坏约80%的连通效率，呈现非线性临界相变。累积阈值机制在持续轻度冲击下贡献了真实但较小的额外损失，在两种攻击类型之间基本对称，而非韧性损失的主导驱动因素；DebtRank揭示了被度中心性低估的隐藏风险节点；级联后恢复在两种攻击类型下以相似速率恢复失效节点，但主要在随机攻击后恢复连通效率，因为不区分重要性的恢复过程不太可能重建连通性所依赖的特定枢纽节点；ε在0.35–0.45处呈现平台型最优值，而地理集中度（λ）的韧性收益迅速饱和。四项量化策略（分层枢纽保护、适度库存缓冲、多元化应急协作和预置恢复）直接支持SDG 12和SDG 13。",null,"Frontiers in Sustainable Food Systems","2026-09-21T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,9,1,"基于1669家企业真实网络构建级联失效模型，方法新颖、数据扎实，对区域生鲜供应链风险防控有实操价值，值得入选。",[24],{"name":10,"url":6},[26,27,28,29,30],"供应链韧性","农业风险管理","农产品供应链","长三角农业","生鲜农产品",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"unclassified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":48,"reason":49},[38,43],{"code":39,"score":21,"supported":14,"title":40,"abstract":41,"tags":42},"E",[],[],[28],{"code":44,"score":21,"supported":14,"title":45,"abstract":46,"tags":47},"G3",[],[],[27],true,"缺少足够的主题证据",[51,52],"长三角 生鲜农产品 供应链","农产品供应链 级联失效","长三角生鲜农产品供应链-3147",7,"10.3389\u002Ffsufs.2026.1956954",{"doi":55,"openalex_id":57,"authors":58,"venue":10,"cited_by_count":63,"oa_url":6,"card":64,"direction":68,"ingested_from":70},"W7213905139",[59,61],{"name":60,"orcid":9},"Qiang Xiao",{"name":62,"orcid":9},"Xinyue Wang",0,{"tldr":65,"method":66,"finding":67,"direction":68,"opportunity":69},"构建长三角生鲜农产品供应链网络，模拟级联失效并识别核心风险节点与恢复策略。","基于企业注册数据构建1669节点网络，用Sigmoid失效、DebtRank与仿","网络对随机攻击稳健、对蓄意攻击脆弱，10%高度节点失效即毁约80%连通效率。","农业人工智能与决策模型","可结合实时物联网数据动态更新级联模型，并探索重要性感知的恢复策略以提升供应链韧性。","openalex","2026-09-22T23:30:08.384884Z",{"total":73,"page":21,"page_size":73,"items":74},6,[75,146,198,251,339,401],{"id":76,"title":77,"url":78,"summary":79,"summary_zh":80,"content":9,"source_name":10,"source_url":78,"published_at":81,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":82,"score_detail":83,"sources":89,"tags":91,"primary_topic":9,"secondary_topics":96,"classification":97,"search_phrases":129,"slug":132,"view_count":63,"doi":133,"paper":134,"created_at":145},5545,"Regional digital finance and food supply-chain management resilience: evidence on the regional-to-firm conversion gap in China’s emerging listed food enterprises","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948192","Food supply chains face climate shocks, logistics disruption, food-safety incidents and volatile demand, yet the relevance of regional digital finance for firm-level resilience remains uncertain. This study examines the association between a province-level digital-finance environment and an accounting-based food supply-chain resilience proxy among emerging listed food enterprises in China. Using public data for 122 eligible firms, we construct annual resistance, recovery and stability measures from revenue, operating cash flow and net margin; the common two-way fixed-effects sample contains 732 firm-year observations from 119 firms during 2017–2023. Regional digital finance is measured as a province-level external financial environment rather than firm-level digital transformation or adoption. Operational capability and regional consumption capacity are accounting- and province-level proxies and do not directly observe supplier coordination, traceability, cold-chain performance, or product-level demand. The preferred estimate is close to zero [beta = −0.005, SE = 0.063, 95% CI (−0.128, 0.117)]. Alternative covariance estimators, outcome definitions and timing specifications do not establish a stable positive within-firm association. The proxy-based operational-capability pathway and the conditional consumption-capacity association are likewise not established. Equivalence tests at 0.05 and 0.10 SCR-standard-deviation bounds are not significant, and the approximate 80% minimum detectable effect is 1.575 SCR standard deviations. The evidence therefore cannot distinguish a small contextual association from limited within-firm statistical precision. The findings support a bounded regional-to-firm conversion interpretation: regional finance may widen resource availability, but whether it is associated with resilience depends on unobserved operational conversion routines and food-sector coordination conditions.","食品供应链面临气候冲击、物流中断、食品安全事件和需求波动，但区域数字金融与企业层面韧性之间的关联仍不确定。本研究考察省级数字金融环境与中国新兴上市食品企业基于会计的食品供应链韧性代理指标之间的关联。利用122家合格企业的公开数据，我们从营业收入、经营现金流和净利润率构建年度抵抗能力、恢复能力和稳定性指标；共同双向固定效应样本包含2017—2023年间119家企业的732个企业—年度观测值。区域数字金融被衡量为省级外部金融环境，而非企业层面的数字化转型或采用。运营能力和区域消费能力为会计层面和省级层面的代理变量，并不直接观测供应商协调、可追溯性、冷链绩效或产品层面需求。首选估计值接近于零[beta = −0.005，SE = 0.063，95% CI（−0.128，0.117）]。替代协方差估计量、结果定义和时序设定均未能确立稳定的企业内正向关联。基于代理变量的运营能力路径和条件性消费能力关联同样未能确立。在0.05和0.10个SCR标准差边界上的等价性检验不显著，约80%的最小可检测效应为1.575个SCR标准差。因此，证据无法区分微小的情境性关联与有限的企业内统计精度。研究结果支持有界的情境到企业转化解释：区域金融可能拓宽资源可得性，但其是否与韧性相关联取决于未观测到的运营转化惯例和食品行业协调条件。","2026-10-21T00:00:00Z",69,{"impact":84,"substance":85,"depth":86,"authority":87,"freshness":13,"relevant":21,"comment":88},8,21,17,13,"基于122家上市食品企业的严谨实证研究，发现区域数字金融与企业韧性关联接近于零，对数字乡村金融政策有边界性提示价值，但属细分学术结论，公共影响有限。",[90],{"name":10,"url":78},[92,93,26,94,95],"数字乡村","数字金融","农业企业","食品供应链",[],{"status":98,"locked":14,"version":34,"method":35,"evidence":99},"needs_review",{"candidates":100,"agricultural_evidence":14,"reason":128},[101,108,114,119,123],{"code":102,"score":103,"supported":48,"title":104,"abstract":105,"tags":107},"E3",3,[],[106],"冷链",[],{"code":109,"score":103,"supported":48,"title":110,"abstract":111,"tags":113},"E4",[],[112],"食品安全",[],{"code":115,"score":21,"supported":14,"title":116,"abstract":117,"tags":118},"G2",[],[],[94],{"code":44,"score":21,"supported":14,"title":120,"abstract":121,"tags":122},[],[],[93],{"code":124,"score":21,"supported":14,"title":125,"abstract":126,"tags":127},"I6",[],[],[92],"农业相关性需要复核",[130,131],"区域数字金融 食品供应链韧性","中国上市食品企业 供应链韧性","区域数字金融食品供应链韧性-5545","10.3389\u002Ffsufs.2026.1948192",{"doi":133,"openalex_id":135,"authors":136,"venue":10,"cited_by_count":63,"oa_url":78,"card":139,"direction":143,"ingested_from":70},"W7223086503",[137],{"name":138,"orcid":9},"Jieyu Zhao",{"tldr":140,"method":141,"finding":142,"direction":143,"opportunity":144},"检验省级数字金融环境与中国新兴上市食品企业供应链韧性之间的关系。","基于122家上市食品企业2017–2023年公开数据，构建双向固定效应模型与等价","区域数字金融与企业供应链韧性无稳定正相关，估计值接近零且不显著。","数字乡村与农业信息化","可研究区域金融资源如何经企业运营惯例转化为供应链韧性，并补充冷链、溯源等微观数据。","2026-10-22T11:20:15.297878Z",{"id":147,"title":148,"url":149,"summary":150,"summary_zh":151,"content":9,"source_name":10,"source_url":149,"published_at":152,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":153,"score_detail":154,"sources":156,"tags":158,"primary_topic":163,"secondary_topics":168,"classification":169,"search_phrases":179,"slug":182,"view_count":63,"doi":183,"paper":184,"created_at":197},4977,"Institutional capacity, FTA network breadth, and trade efficiency in China’s aquatic-product imports: evidence from a true random-effects stochastic frontier gravity model","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1963840","China’s rapidly expanding aquatic-product imports raise an important economic question: how fully do established supplier relationships realize the trade capacity supported by market scale, production capacity, and institutional conditions? Using a balanced panel of 16 major suppliers over 2013–2022, this study estimates a true random-effects stochastic frontier gravity model that separates persistent supplier heterogeneity from time-varying trade inefficiency. The results identify two distinct margins. China’s fishery-sector scale and supplier total aquatic-animal production expand the conditional import frontier, while stronger China-side logistics-service competence and broader supplier external FTA networks are associated with lower trade inefficiency and stronger frontier realization. The FTA-network relationship remains particularly consistent across alternative time controls, LPI annualization, supplier economic and governance controls, and broader PPML samples. Mean JLMS trade efficiency rises from 58.00% in 2013 to 89.21% in 2022. In 2022, observed imports of USD 18.41 billion correspond to a conditional frontier of approximately USD 20.65 billion, leaving a USD 2.24 billion conditional gap concentrated in a small number of large-frontier relationships. An efficiency–frontier matrix further distinguishes core high-realization suppliers, large-frontier relationships with greater room for realization, and efficient smaller suppliers that contribute diversification. These findings show that trade-capacity formation and trade-capacity realization are complementary dimensions of resilient aquatic-food supply chains.","中国水产品进口的快速扩张提出了一个重要经济问题：既有的供应关系在多大程度上实现了由市场规模、生产能力和制度条件所支撑的贸易潜力？本研究使用2013—2022年16个主要供应国的平衡面板数据，估计了一个真实随机效应随机前沿引力模型，将持续的供应国异质性与时变贸易非效率分离。结果识别出两个不同的边际。中国渔业部门规模与供应国水生动物总产量扩展了条件进口前沿，而中国侧更强的物流服务能力与供应国更广泛的外部FTA网络则与更低的贸易非效率和更强的前沿实现相关联。FTA网络关系在替代性时间控制、LPI年度化、供应国经济与治理控制变量以及更广泛的PPML样本中尤为一致。JLMS贸易效率均值从2013年的58.00%上升至2022年的89.21%。2022年，观测进口额为184.1亿美元，对应条件前沿约为206.5亿美元，留下22.4亿美元的条件缺口，集中分布于少数大前沿关系中。效率—前沿矩阵进一步区分了核心高实现供应国、具有更大实现空间的大前沿关系，以及促进多元化的高效较小供应国。这些发现表明，贸易能力形成与贸易能力实现是韧性水生食品供应链的互补维度。","2026-10-14T00:00:00Z",80,{"impact":17,"substance":18,"depth":17,"authority":87,"freshness":20,"relevant":21,"comment":155},"基于随机前沿引力模型量化中国水产品进口效率与FTA网络作用，方法新颖、数据扎实，对渔业贸易与供应链研究有参考价值。",[157],{"name":10,"url":149},[26,159,160,161,162],"渔业经济","水产品进口","贸易效率","自由贸易协定",{"code":164,"slug":165,"name":166,"path":167,"parent_code":9},"D","aquaculture","渔业水产","\u002Ftopic\u002Faquaculture",[],{"status":170,"locked":14,"version":34,"method":35,"evidence":171},"partial",{"candidates":172,"agricultural_evidence":48},[173],{"code":164,"score":73,"supported":48,"title":174,"abstract":175,"tags":178},[],[176,177],"水产","渔业",[],[180,181],"中国 水产品进口 贸易效率","FTA网络 水产 供应链","中国水产品进口贸易效率-4977","10.3389\u002Ffsufs.2026.1963840",{"doi":183,"openalex_id":185,"authors":186,"venue":10,"cited_by_count":63,"oa_url":149,"card":192,"direction":68,"ingested_from":70},"W7221751994",[187,189],{"name":188,"orcid":9},"Wei Yang",{"name":190,"orcid":191},"Kunlin Tang","https:\u002F\u002Forcid.org\u002F0009-0006-6237-3613",{"tldr":193,"method":194,"finding":195,"direction":68,"opportunity":196},"用随机效应随机前沿引力模型测算中国水产品进口贸易效率，并分析制度能力与FTA网络的影响。","2013–2022年16个主要供应国的平衡面板，真实随机效应随机前沿引力模型与J","中国渔业规模与供应国产量扩大进口前沿，物流能力与FTA网络广度降低贸易低效；平均效率由58%升至89","可将贸易效率—前沿矩阵思路迁移到农产品进口风险预警，结合FTA网络与物流指标构建供应链韧性决策模型。","2026-10-15T23:30:06.422355Z",{"id":199,"title":200,"url":201,"summary":202,"summary_zh":203,"content":9,"source_name":10,"source_url":201,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":209,"tags":211,"primary_topic":9,"secondary_topics":216,"classification":217,"search_phrases":229,"slug":232,"view_count":21,"doi":233,"paper":234,"created_at":250},4872,"Forest-food supply chain resilience in mountain outdoor regions: a reconfigurability perspective","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1962537","Introduction Forest-based food supply chains face ecological seasonality, dispersed production, perishability, and uneven transport access. This study examines how organizational capabilities combine to support forest-based food supply-chain resilience (FFSCR) from a reconfigurability perspective. Methods The analysis draws on 409 managerial questionnaires nested within 50 firms in Zhangjiajie, Xishuangbanna, and Changbai Mountain. Measurement quality was evaluated at the respondent level, and construct scores were aggregated to the firm level, supported by ICC(1) values of 0.251–0.342 and ICC(2) values of 0.732–0.809. Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) were applied to examine necessary constraints and sufficient configurations. Results Reconfiguration readiness was the only condition meeting both the substantive and statistical NCA criteria ( d = 0.123, p \u003C 0.001) and the fsQCA necessity criterion (consistency = 0.921; coverage = 0.848). Five intermediate configurations generated high FFSCR, with overall consistency of 0.945 and coverage of 0.883. Reconfiguration readiness appeared in all five configurations, while partner resilience was a core condition in four. Robustness checks using 90th\u002F70th\u002F10th-percentile recalibration reproduced the five configurations (consistency = 0.950; coverage = 0.886) and maintained the necessity of reconfiguration readiness (NCA d = 0.110, p \u003C 0.001; fsQCA consistency = 0.926). Discussion Reconfiguration readiness functions as an enabling constraint rather than a sufficient condition on its own. Relational, agile, financial, flexible, and technological capabilities provide alternative mechanisms through which firms convert readiness into resilient supply-chain performance.","引言 林源食品供应链面临生态季节性、生产分散性、易腐性以及运输可达性不均等挑战。本研究从可重构性视角出发，考察组织能力如何组合以支撑林源食品供应链韧性（forest-based food supply-chain resilience, FFSCR）。方法 分析基于张家界、西双版纳和长白山地区50家企业中嵌套的409份管理者问卷。测量质量在受访者层面进行评估，并将构念得分聚合至企业层面，得到ICC(1)值为0.251–0.342、ICC(2)值为0.732–0.809的支持。采用必要条件分析（Necessary Condition Analysis, NCA）与模糊集定性比较分析（fuzzy-set Qualitative Comparative Analysis, fsQCA）检验必要约束条件与充分组态。结果 可重构准备度是唯一同时满足NCA实质性与统计性标准（d = 0.123, p \u003C 0.001）以及fsQCA必要性标准（一致性 = 0.921；覆盖度 = 0.848）的条件。五种中间组态产生了高FFSCR，总体一致性为0.945，覆盖度为0.883。可重构准备度出现在全部五种组态中，而合作伙伴韧性在四种组态中为核心条件。采用第90\u002F70\u002F10百分位重新校准的稳健性检验复现了这五种组态（一致性 = 0.950；覆盖度 = 0.886），并维持了可重构准备度的必要性（NCA d = 0.110, p \u003C 0.001；fsQCA一致性 = 0.926）。讨论 可重构准备度发挥使能约束的作用，而非自身即为充分条件。关系能力、敏捷能力、财务能力、灵活能力与技术能力提供了替代机制，使企业将准备度转化为韧性供应链绩效。","2026-10-13T00:00:00Z",74,{"impact":207,"substance":18,"depth":17,"authority":87,"freshness":20,"relevant":21,"comment":208},12,"基于三地50家企业409份问卷的fsQCA实证研究，方法规范、结论有新意，但属细分领域学术成果，公共影响有限，适合作为专业向精选。",[210],{"name":10,"url":201},[26,212,213,214,215],"林下经济","农业经营主体","fsQCA","森林食品",[],{"status":98,"locked":14,"version":34,"method":35,"evidence":218},{"candidates":219,"agricultural_evidence":14,"reason":128},[220,224],{"code":115,"score":21,"supported":14,"title":221,"abstract":222,"tags":223},[],[],[213],{"code":225,"score":21,"supported":14,"title":226,"abstract":227,"tags":228},"G4",[],[],[212],[230,231],"张家界 西双版纳 长白山 森林食品","森林食品 供应链韧性 组织能力","张家界西双版纳长白山森林食品-4872","10.3389\u002Ffsufs.2026.1962537",{"doi":233,"openalex_id":235,"authors":236,"venue":10,"cited_by_count":63,"oa_url":201,"card":245,"direction":143,"ingested_from":70},"W7221622529",[237,239,241,243],{"name":238,"orcid":9},"Qianlan Chen",{"name":240,"orcid":9},"Huan Liang",{"name":242,"orcid":9},"Xi Deng",{"name":244,"orcid":9},"Yuelin Ren",{"tldr":246,"method":247,"finding":248,"direction":143,"opportunity":249},"基于可重构视角，研究山区林下食品供应链韧性如何由多种组织能力组合形成。","409份管理者问卷、50家企业，用NCA与fsQCA分析必要条件与充分组态。","可重构准备度是唯一必要条件，五条组态路径均含该条件，伙伴韧性在四条中为核心。","可将可重构准备度与数字技术能力结合，探索山区林下食品供应链的数字化韧性组态机制。","2026-10-14T23:30:07.087827Z",{"id":252,"title":253,"url":254,"summary":255,"summary_zh":256,"content":9,"source_name":10,"source_url":254,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":257,"score_detail":258,"sources":260,"tags":262,"primary_topic":267,"secondary_topics":273,"classification":274,"search_phrases":310,"slug":313,"view_count":63,"doi":314,"paper":315,"created_at":338},4869,"From life cycle assessment to life cycle thinking in agri-food systems: lessons from the avocado supply chain","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1875191","Agri-food systems face growing pressure to demonstrate environmental performance and support sustainability transitions. In this context, Life Cycle Assessment (LCA) generates evidence on environmental impacts, while Life Cycle Thinking (LCT) helps integrate that information into decision-making across supply chains. This review evaluates LCA and LCT for the avocado sector by synthesising current LCA evidence, analysing the transferability of results to LCA‑based ecolabels and certifications, examining how LCT related food‑policy instruments create or limit incentives for supply‑chain actors and exploring pathways for translating life-cycle information into coordinated sustainability action. The assessment combines a systematic appraisal of English‑language avocado LCAs with regionally relevant studies, in Spanish and German, and field insights from sustained engagement with Ecuadorian producers. Avocado LCAs have expanded in number, supply chain and geographic coverage, consistently identifying production (e.g., fertilisation, fuel, energy use) and distribution (e.g., transport distances) as key environmental hotspots. Despite mounting pressure to reduce impacts, producers and distributors face limited incentives to move beyond compliance with non‑LCA certifications (e.g., GLOBALG.A.P., Rainforest Alliance). Retailers increasingly promote LCA‑based approaches, yet their efforts are hindered by data fragmentation, methodological inconsistency, and traceability challenges. Consumers express strong interest in environmental information, particularly when presented through simplified, multi‑criteria ecolabels, though such formats risk oversimplification or misrepresentation. Methodological gaps persist, including inconsistent treatment of carbon sequestration, biodiversity, and nursery stages, while opportunities in circularity and by‑product valorisation remain underexplored. Overall, LCT and LCA offer essential guidance for improving the sustainability of avocado supply chains, but their effectiveness depends on methodological standardisation, ecolabel harmonisation, clear policy direction, credible differentiation schemes, and robust data systems. By connecting environmental assessment with implementation, governance, and decision-making processes, this review outlines a pathway for embedding LCT within policy and practice, enabling more coherent, transparent, and actionable sustainability governance for agri-food supply chains.","农食系统正面临日益增大的压力，需展示其环境绩效并支持可持续性转型。在此背景下，生命周期评价（Life Cycle Assessment, LCA）为环境影响提供证据，而生命周期思维（Life Cycle Thinking, LCT）则有助于将这些信息整合到供应链各环节的决策中。本综述通过综合现有LCA证据、分析结果向基于LCA的生态标签和认证的可迁移性、考察与LCT相关的食品政策工具如何为供应链参与者创造或限制激励，以及探索将生命周期信息转化为协调可持续行动的路径，对牛油果行业的LCA和LCT进行了评估。该评估结合了对英语牛油果LCA的系统性评价、西班牙语和德语的相关区域研究，以及与厄瓜多尔生产者持续合作获得的实地见解。牛油果LCA在研究数量、供应链覆盖和地理范围上均有扩展，一致识别出生产环节（如施肥、燃料、能源使用）和分销环节（如运输距离）为关键环境热点。尽管减少环境影响的压力不断增大，生产者和分销商在超越非LCA认证（如GLOBALG.A.P.、雨林联盟）合规要求方面面临的激励仍然有限。零售商日益推广基于LCA的方法，但其努力受到数据碎片化、方法学不一致和可追溯性挑战的制约。消费者对环境信息表现出浓厚兴趣，尤其是当信息以简化的多标准生态标签形式呈现时，但此类形式存在过度简化或误导的风险。方法学空白依然存在，包括碳固存、生物多样性和苗圃阶段处理方式的不一致，而循环性和副产品增值方面的机遇仍未得到充分探索。总体而言，LCT和LCA为改善牛油果供应链的可持续性提供了重要指导，但其有效性取决于方法学标准化、生态标签协调、明确的政策方向、可信的差异化方案以及稳健的数据系统。通过将环境评估与实施、治理和决策过程相连接，本综述勾勒出一条将LCT嵌入政策与实践的路径，从而为农食供应链实现更协调、透明和可操作的可持续性治理。",82,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":13,"relevant":21,"comment":259},"系统综述牛油果供应链LCA与生命周期思维，指出数据碎片化、方法不统一及生态标签激励不足，对农产品可持续治理与信息化追溯有参考价值。",[261],{"name":10,"url":254},[263,264,265,28,266],"可持续农业","牛油果","生命周期评价","生态标签",{"code":268,"slug":269,"name":270,"path":271,"parent_code":272},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[],{"status":275,"locked":14,"version":34,"method":35,"evidence":276},"classified",{"candidates":277,"agricultural_evidence":48},[278,283,290,296,301,305],{"code":268,"score":73,"supported":48,"title":279,"abstract":280,"tags":282},[],[281,269],"生物多样性",[],{"code":284,"score":285,"supported":48,"title":286,"abstract":287,"tags":289},"H4",4,[],[288],"carbon sequestration",[265],{"code":291,"score":103,"supported":48,"title":292,"abstract":293,"tags":295},"F3",[],[294],"施肥",[],{"code":297,"score":21,"supported":14,"title":298,"abstract":299,"tags":300},"B2",[],[],[264],{"code":39,"score":21,"supported":14,"title":302,"abstract":303,"tags":304},[],[],[28],{"code":306,"score":21,"supported":14,"title":307,"abstract":308,"tags":309},"H8",[],[],[263],[311,312],"牛油果 供应链 生命周期评价","农产品供应链 生命周期评价 可持续农业 生态标签","牛油果供应链生命周期评价-4869","10.3389\u002Ffsufs.2026.1875191",{"doi":314,"openalex_id":316,"authors":317,"venue":10,"cited_by_count":63,"oa_url":254,"card":332,"direction":336,"ingested_from":70},"W7221595293",[318,320,323,325,327,329],{"name":319,"orcid":9},"Margarita Baquero",{"name":321,"orcid":322},"Villi Ieremia","https:\u002F\u002Forcid.org\u002F0000-0002-7106-0583",{"name":324,"orcid":9},"Anton Van Oyen",{"name":326,"orcid":9},"Beatriz Rivela",{"name":328,"orcid":9},"Annemie Geeraerd Ameryckx",{"name":330,"orcid":331},"Angel Diego Ramirez","https:\u002F\u002Forcid.org\u002F0000-0003-3846-3396",{"tldr":333,"method":334,"finding":335,"direction":336,"opportunity":337},"综述牛油果供应链LCA与生命周期思维，探讨如何将环境评估转化为可持续决策。","系统综述英文及西德文牛油果LCA研究，结合厄瓜多尔生产者实地调研。","生产与分销是环境热点，但数据碎片化、方法不一致和认证激励不足阻碍LCA落地。","农业绿色发展与碳","可研究LCA标准化与生态标签协调机制，以及碳封存、生物多样性和副产物增值的方法学空白。","2026-10-14T23:30:06.874747Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":344,"content":9,"source_name":10,"source_url":342,"published_at":345,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":346,"score_detail":347,"sources":350,"tags":352,"primary_topic":9,"secondary_topics":356,"classification":357,"search_phrases":378,"slug":381,"view_count":382,"doi":383,"paper":384,"created_at":400},4410,"Digital capability and supply chain resilience in rural food tourism ventures: the role of food supply chain integration","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1976172","Introduction Rural food tourism ventures coordinate perishable local supplies, food-service operations and fluctuating tourist demand. How digital capability and food supply chain integration relate to resource-saving practices and enterprise-level resilience remains unclear. Methods A four-wave matched survey of 467 women operators was analyzed using covariance-based structural equation modeling, bootstrap tests of statistical indirect associations and an ordinal-estimator sensitivity analysis. Public user-generated content was analyzed separately to characterize platform discourse. Results Digital capability was positively associated with food supply chain integration and enterprise-level supply chain resilience. Integration was positively associated with both the low-carbon-oriented and resource-saving food practices index and resilience. The direct association between the practices index and resilience was not statistically significant. Bootstrap estimates supported the indirect association between digital capability and the practices index through integration, but not the serial indirect association extending to resilience. Only the resilience text classifier met the prespecified reporting threshold; the remaining labels were retained as exploratory semantic cues. Discussion The findings distinguish resource-saving practices from disruption resilience and identify supply chain integration as an organizational correlate of both. Future research should test these associations in probability-based and gender-comparative samples and validate reported practices against measured energy use, food loss and emissions.","引言 乡村美食旅游企业需要协调易腐的本地供应、餐饮服务运营与波动的游客需求。数字能力与食品供应链整合如何与资源节约型实践及企业层面的韧性相关联，目前尚不清楚。方法 对467名女性经营者的四轮匹配调查数据，采用基于协方差的结构方程模型、统计间接关联的Bootstrap检验以及有序估计量敏感性分析进行分析。公开的用户生成内容另行分析，以刻画平台话语特征。结果 数字能力与食品供应链整合及企业层面的供应链韧性呈正相关。整合与低碳导向及资源节约型食品实践指数和韧性均呈正相关。实践指数与韧性之间的直接关联在统计上不显著。Bootstrap估计支持数字能力通过整合与实践指数之间的间接关联，但不支持延伸至韧性的序列间接关联。仅韧性文本分类器达到预设的报告阈值；其余标签作为探索性语义线索保留。讨论 研究结果将资源节约型实践与中断韧性区分开来，并确定供应链整合是二者的组织关联因素。未来研究应在基于概率的样本和性别比较样本中检验这些关联，并依据实测能源使用、食品损耗和排放数据验证所报告的实践。","2026-10-07T00:00:00Z",67,{"impact":84,"substance":348,"depth":86,"authority":87,"freshness":20,"relevant":21,"comment":349},20,"基于467名女性经营者四轮匹配调查的实证研究，揭示数字能力通过供应链整合关联资源节约实践与企业韧性，方法规范、结论有增量，但属细分领域学术成果，公共影响有限。",[351],{"name":10,"url":342},[92,353,354,355,28],"低碳农业","农业数字化","乡村文旅",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":358},{"candidates":359,"agricultural_evidence":48,"reason":49},[360,364,369,374],{"code":39,"score":21,"supported":14,"title":361,"abstract":362,"tags":363},[],[],[28],{"code":365,"score":21,"supported":14,"title":366,"abstract":367,"tags":368},"I",[],[],[354],{"code":370,"score":21,"supported":14,"title":371,"abstract":372,"tags":373},"I1",[],[],[354],{"code":124,"score":21,"supported":14,"title":375,"abstract":376,"tags":377},[],[],[92],[379,380],"乡村食品旅游 数字能力 供应链韧性","农产品供应链 农业数字化 乡村文旅 低碳农业","乡村食品旅游数字能力供应链韧性-4410",2,"10.3389\u002Ffsufs.2026.1976172",{"doi":383,"openalex_id":385,"authors":386,"venue":10,"cited_by_count":63,"oa_url":394,"card":395,"direction":143,"ingested_from":70},"W7220839382",[387,390,392],{"name":388,"orcid":389},"Wei Li","https:\u002F\u002Forcid.org\u002F0000-0003-4665-4643",{"name":391,"orcid":9},"Peng Yin",{"name":393,"orcid":9},"Ruirui Zhou","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1976172\u002Fpdf",{"tldr":396,"method":397,"finding":398,"direction":143,"opportunity":399},"研究数字能力与食品供应链整合如何影响乡村食品旅游企业的资源节约与韧性。","对467名女性经营者四轮匹配调查，用结构方程模型和Bootstrap检验。","数字能力正向关联供应链整合与韧性；整合关联节约实践与韧性，但实践与韧性直接关联不显著。","可在概率样本与性别比较中验证，并用实测能耗、食物损耗与排放校准自报实践。","2026-10-08T23:30:07.258973Z",{"id":402,"title":403,"url":404,"summary":405,"summary_zh":406,"content":9,"source_name":407,"source_url":404,"published_at":408,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":409,"score_detail":410,"sources":413,"tags":415,"primary_topic":420,"secondary_topics":426,"classification":437,"search_phrases":468,"slug":471,"view_count":103,"doi":472,"paper":473,"created_at":485},3613,"AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030","https:\u002F\u002Fdoi.org\u002F10.64388\u002Firev10i3-1723457","High-volume food manufacturing in Saudi Arabia is increasingly exposed to volatile demand, short product life cycles, promotion-driven peaks, imported input dependencies, capacity bottlenecks, and the operational consequences of seasonal and religious events. These conditions make demand forecasting and production scheduling inseparable rather than sequential planning tasks. This review synthesizes research published between 2020 and 2025 on artificial intelligence-assisted demand forecasting, perishable-product planning, finite-capacity scheduling, digital-twin-enabled decision support, and food supply-chain resilience. The study develops an integrated framework in which demand sensing produces probabilistic forecasts that are translated into production decisions through capacity, shelf-life, sanitation, changeover, labour, inventory, and service constraints. Evidence indicates that machine-learning and deep-learning methods can improve forecast accuracy when promotions, weather, calendar events, regional variation, and censored demand are represented appropriately, while optimization models can convert these signals into feasible schedules that reduce changeovers, waste, shortages, and unstable resource use [1-8]. The review also identifies a persistent implementation gap: forecasting studies often stop at predictive accuracy, whereas scheduling studies frequently assume demand inputs are fixed and reliable. The proposed framework closes this gap by linking forecast uncertainty, rolling-horizon scheduling, execution feedback, and food-security outcomes. For Saudi manufacturers, the value of this integration lies not only in lower cost, but also in improving product availability, freshness, localized processing capacity, shock recovery, and evidence-based management under Vision 2030. The paper concludes with a staged implementation roadmap and research priorities for explainability, cross-site scheduling, event-aware forecasting, data governance, and resilient planning.","沙特阿拉伯的大规模食品制造日益面临需求波动、产品生命周期短、促销驱动的峰值、进口原料依赖、产能瓶颈以及季节性和宗教事件的运营影响。这些条件使得需求预测与生产调度成为不可分割的任务，而非顺序规划任务。本文综述了2020年至2025年间发表的相关研究，涵盖人工智能辅助需求预测、易腐产品规划、有限产能调度、数字孪生赋能的决策支持以及食品供应链韧性。研究构建了一个集成框架，其中需求感知产生概率预测，并通过产能、保质期、卫生、换产、劳动力、库存和服务约束转化为生产决策。证据表明，当促销、天气、日历事件、区域差异和截尾需求得到适当表征时，机器学习和深度学习方法能够提高预测精度，而优化模型可将这些信号转化为可行的调度方案，从而减少换产、浪费、缺货和不稳定的资源使用[1-8]。本综述还指出了一个持续存在的实施缺口：预测研究往往止步于预测精度，而调度研究则常常假设需求输入是固定且可靠的。所提出的框架通过将预测不确定性、滚动时域调度、执行反馈和食品安全结果联系起来，弥合了这一缺口。对于沙特制造商而言，这种集成的价值不仅在于降低成本，还在于改善产品可得性、新鲜度、本地化加工能力、冲击恢复能力以及“2030愿景”下的循证管理。本文最后提出了分阶段实施路线图以及可解释性、跨厂区调度、事件感知预测、数据治理和韧性规划方面的研究优先事项。","Iconic Research and Engineering Journals","2026-09-25T00:00:00Z",60,{"impact":207,"substance":17,"depth":411,"authority":73,"freshness":84,"relevant":21,"comment":412},16,"综述性论文，提出AI需求预测与生产排程整合框架，对智慧农业与粮食安全有参考价值，但属境外研究且期刊权威性一般。",[414],{"name":407,"url":404},[416,417,418,26,419],"智慧农业","农业人工智能","粮食安全","生产调度",{"code":421,"slug":422,"name":423,"path":424,"parent_code":425},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[427,432],{"code":428,"slug":429,"name":430,"path":431,"parent_code":39},"E1","food-processing","加工与食品制造","\u002Ftopic\u002Ffood-supply\u002Ffood-processing",{"code":433,"slug":434,"name":435,"path":436,"parent_code":365},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":275,"locked":14,"version":34,"method":35,"evidence":438},{"candidates":439,"agricultural_evidence":48},[440,446,454,459,464],{"code":428,"score":441,"supported":48,"title":442,"abstract":444,"tags":445},11,[443],"food manufacturing",[443],[],{"code":433,"score":13,"supported":48,"title":447,"abstract":448,"tags":453},[],[449,450,451,452],"深度学习","机器学习","artificial intelligence","decision support",[417],{"code":421,"score":20,"supported":48,"title":455,"abstract":457,"tags":458},[456],"food security",[],[418],{"code":370,"score":285,"supported":48,"title":460,"abstract":461,"tags":463},[],[462],"数字孪生",[416],{"code":109,"score":103,"supported":48,"title":465,"abstract":466,"tags":467},[],[112],[],[469,470],"沙特阿拉伯 食品制造 需求预测","Vision 2030 粮食安全","沙特阿拉伯食品制造需求预测-3613","10.64388\u002Firev10i3-1723457",{"doi":472,"openalex_id":474,"authors":475,"venue":407,"cited_by_count":63,"oa_url":478,"card":479,"direction":484,"ingested_from":70},"W7214295236",[476],{"name":477,"orcid":9},"Atif Maqbool Syed","https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723457.pdf",{"tldr":480,"method":481,"finding":482,"direction":68,"opportunity":483},"综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20","文献综述2020-2025年AI预测、易腐品规划、有限产能调度与数字孪生研究。","预测研究止于精度、调度研究假设需求固定，整合框架可弥合实施鸿沟并提升粮食安全。","可研究事件感知预测与滚动调度耦合、跨工厂协同及可解释AI在食品供应链韧性中的应用。","智慧农业 \u002F 农业物联网","2026-09-27T23:30:14.516185Z"]