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公共餐饮如何促进可持续发展:一项德国案例研究。

How public catering accelerates sustainability: a German case study.

作者信息

Speck Melanie, Wagner Lynn, Buchborn Felix, Steinmeier Fara, Friedrich Silke, Langen Nina

机构信息

Wuppertal Institute for Climate, Environment and Energy gGmbH, Doeppersberg 19, 42103 Wuppertal, Germany.

Faculty of Agricultural Sciences and Landscape Architecture, Osnabrueck University of Applied Science, Am Kruempel 31, 49090 Osnabrueck, Germany.

出版信息

Sustain Sci. 2022;17(6):2287-2299. doi: 10.1007/s11625-022-01183-2. Epub 2022 Aug 23.

Abstract

UNLABELLED

Public catering has become increasingly important in recent years. With increasing annual customers, the sector's impact on the environment is also growing continuously. At the same time, public catering offers a lever to promote sustainable nutrition that has rarely been used so far. Small changes in kitchen practices and food offers can thus be multiplied into a significant positive impact on environmental challenges, such as climate change or loss of biodiversity due to the large number of servings. In contrast to private households, management decisions in public catering can influence the food-related environmental impact of thousands of customers. This article deals with the nationwide level of greenhouse gas (GHG) emissions and resource use in the German public catering segment "business" and its saving potentials by different scenarios of unsupported and supported recipe revision. In this paper, we define "unsupported" as the intuitive optimization of recipes by employees of public catering businesses. In contrast, "supported" approaches had to meet specific target goals, for example of the Deutsche Gesellschaft für Ernährung; engl. German Nutrition Society or the sustainable level. Specifically, we will test how (A) an unsupported recipe revision, (B) a recipe revision based on dietary recommendations and (C) a recipe revision using scientific guidance affect the environmental impact of a dish. As a methodological framework, an online survey of public catering companies was conducted as well as a scenario analysis at menu level and at nationwide level. The results are based on empirical data on the one hand, and on extrapolations on the other. The results show that the nationwide implementation of recipe revision according to scientific guidance-such as concrete target goals for the GHG emissions per serving-can save up to 44% of resource use in the German business catering sector (which corresponds to 3.4 million tons of resources per year) and as much as 40% of GHG emissions (0.6 million tons GHG emissions per year). Even in the scenario of unsupported recipe revision, GHG and resource savings of up to 20% can be realized. The results show that public catering can reduce its material and carbon footprint by 20% overnight. Moreover, the findings show indications for the sustainable transformation of public catering. Nevertheless, it must be noted that these are some first steps of the transformation, which will require further changes with even greater impacts and political activities.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11625-022-01183-2.

摘要

未标注

近年来,公共餐饮变得越来越重要。随着年顾客数量的增加,该行业对环境的影响也在持续增长。与此同时,公共餐饮提供了一个促进可持续营养的杠杆,而这一杠杆迄今为止很少被利用。厨房操作和食物供应方面的小改变因此可以放大成对环境挑战产生显著的积极影响,比如气候变化或因大量份餐导致的生物多样性丧失。与私人家庭不同,公共餐饮中的管理决策可以影响数千名顾客与食物相关的环境影响。本文探讨了德国公共餐饮领域“商业”中全国范围内的温室气体(GHG)排放水平和资源使用情况,以及通过不同的无支持和有支持的食谱修订方案所具有的节约潜力。在本文中,我们将“无支持”定义为公共餐饮企业员工对食谱的直观优化。相比之下,“有支持”的方法必须满足特定的目标,例如德国营养学会(Deutsche Gesellschaft für Ernährung;英文:German Nutrition Society)设定的目标或可持续水平。具体而言,我们将测试(A)无支持的食谱修订、(B)基于饮食建议的食谱修订以及(C)使用科学指导的食谱修订如何影响一道菜肴的环境影响。作为一种方法框架,我们对公共餐饮公司进行了在线调查,并在菜单层面和全国层面进行了情景分析。结果一方面基于实证数据,另一方面基于推断。结果表明,在全国范围内按照科学指导进行食谱修订,例如设定每份餐的温室气体排放具体目标,可以使德国商业餐饮部门的资源使用量节省高达44%(相当于每年340万吨资源),温室气体排放量节省高达40%(每年60万吨温室气体排放)。即使在无支持的食谱修订情景下,也可以实现高达20%的温室气体和资源节约。结果表明,公共餐饮可以在一夜之间将其物质和碳足迹减少20%。此外,研究结果显示了公共餐饮可持续转型的迹象。然而,必须指出的是,这些只是转型的一些初步步骤,还需要进一步的变革,这些变革将产生更大的影响并涉及政治活动。

补充信息

在线版本包含可在10.1007/s11625 - 022 - 01183 - 2获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4d1/9395884/5e0449850065/11625_2022_1183_Fig1_HTML.jpg

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