{"title":"Assessing food procurement greenhouse gas emissions and food waste in UK fine dining.","authors":"Andrea Zick, Ximena Schmidt R, Christian Reynolds","doi":"10.1016/j.clfs.2025.100010","DOIUrl":null,"url":null,"abstract":"<p><p>This research examines greenhouse gas emissions (GHGE) associated with food procurement and food waste in a UK fine dining restaurant. A comprehensive food procurement greenhouse gas emissions baseline was established, emission hotspots were identified, and food waste reduction targets previously set by the restaurant were verified. A total of 6282 individual food purchases were reviewed. Due to repeat purchases, 941 distinct food and drink commodities were matched with 920 emissions factors from the WRAP Emission Factor Database v2.0, enabling a volume-based greenhouse gas emissions assessment. The analysis revealed seasonal variations and GHGE hotspots, providing a benchmark for similar catering operations. A Monte Carlo simulation was performed by randomising the emissions factors allocated to assess the sensitivity of the assessment. Despite the possible variation of emissions factors, the average GHGE per guest was found to be 5.87 kg CO<sub>2</sub> eq. per guest ( <math><mrow><mo>±</mo> <mn>0.27</mn></mrow> </math> ) and 4.79 kg CO<sub>2</sub> eq. per kg of food procured (±0.54). A dietary gap analysis found the associated GHGE exceed the range for GHGE per day/person of the Eatwell guide recommended by the British Dietetic Association as a healthy, sustainable diet. The analysis also shows that GHGE associated with food waste represents the fourth-largest contributor. Establishing a baseline for GHGE of food waste and procurement supports measurable goal setting, intervention identification, and progress tracking towards emission reduction targets. The findings equip the business to design targeted and evidence-based interventions.</p>","PeriodicalId":523895,"journal":{"name":"Cleaner food systems","volume":"3 ","pages":"None"},"PeriodicalIF":0.0000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13288463/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner food systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.clfs.2025.100010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research examines greenhouse gas emissions (GHGE) associated with food procurement and food waste in a UK fine dining restaurant. A comprehensive food procurement greenhouse gas emissions baseline was established, emission hotspots were identified, and food waste reduction targets previously set by the restaurant were verified. A total of 6282 individual food purchases were reviewed. Due to repeat purchases, 941 distinct food and drink commodities were matched with 920 emissions factors from the WRAP Emission Factor Database v2.0, enabling a volume-based greenhouse gas emissions assessment. The analysis revealed seasonal variations and GHGE hotspots, providing a benchmark for similar catering operations. A Monte Carlo simulation was performed by randomising the emissions factors allocated to assess the sensitivity of the assessment. Despite the possible variation of emissions factors, the average GHGE per guest was found to be 5.87 kg CO2 eq. per guest ( ) and 4.79 kg CO2 eq. per kg of food procured (±0.54). A dietary gap analysis found the associated GHGE exceed the range for GHGE per day/person of the Eatwell guide recommended by the British Dietetic Association as a healthy, sustainable diet. The analysis also shows that GHGE associated with food waste represents the fourth-largest contributor. Establishing a baseline for GHGE of food waste and procurement supports measurable goal setting, intervention identification, and progress tracking towards emission reduction targets. The findings equip the business to design targeted and evidence-based interventions.
这项研究调查了英国一家高级餐厅与食物采购和食物浪费相关的温室气体排放(GHGE)。建立全面的食品采购温室气体排放基线,识别排放热点,验证餐厅之前设定的餐厨垃圾减排目标。共审查了6282宗个人食品采购。由于重复购买,941种不同的食品和饮料商品与WRAP排放因子数据库v2.0中的920个排放因子相匹配,从而实现了基于体积的温室气体排放评估。分析揭示了季节变化和温室气体热点,为类似的餐饮业务提供了基准。通过随机分配排放因子来评估评估的敏感性,进行蒙特卡洛模拟。尽管排放因子可能存在差异,但每位客人的平均温室气体排放量为5.87 kg CO2当量(±0.27)和4.79 kg CO2当量(±0.54)。一项饮食差距分析发现,相关的温室气体排放量超过了英国饮食协会推荐的健康、可持续饮食的Eatwell指南中每人每天温室气体排放量的范围。分析还表明,与食物浪费有关的温室气体是第四大贡献者。为食物浪费和采购的温室气体排放建立基线,有助于制定可衡量的目标、确定干预措施和跟踪减排目标的进展。这些发现使企业能够设计有针对性和基于证据的干预措施。