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Agriculture is an economic sector with massive impact on biodiversity and agrobiodiversity. Sustainable diets represent a critical policy leverage and a realistic opportunity to reduce the environmental impact of the agro-food sector while improving human health at the same time. Eating out is an increasingly common habit for many consumers and, by offering sustainable dishes, catering companies can play a central role. To do this, they need to understand and correctly assess the sustainability of their food portfolio, but assessment tools are not well established yet. The NAHGAST project, of which this study was part, developed and tested a sustainability assessment tool for catering companies based on concrete targets defined per meal. This study addresses the lack of methods to evaluate the impact of food on biodiversity, with a particular focus on agrobiodiversity. The work illustrates a context-specific application of an enhanced DPSIR model to structure information and select indicators, and proposes a transdisciplinary use of existing metrics. Further research is needed in order to define scientifically sound target values or sustainability ranges for each indicator per meal, in order to calculate them. Strengths and limits of the study are discussed.
Every diet has an impact on an individual’s health status, the environment, as well as on social concerns. A growing number of meals are consumed in the out-of-home catering sector, in which a systematic sustainability assessment is not part of common practice. In order to close this gap, an instrument was developed as part of the NAHGAST project. After more than one year of using the NAHGAST online tool, it needs to be assessed what positive environmental influences can be realized by using the tool. For this reason, this article deals with the question of whether an online tool can enable stakeholders from the out-of-home consumption sector to revise their meals with regard to aspects of a sustainable diet. In addition, it will be answered how precise recipe revisions of the most popular lunchtime meals influence the material footprint as well as the carbon footprint. In conclusion, an online tool can illustrate individual sustainability paths for stakeholders in the out-of-home consumption sector and enables an independent recipe revision for already existing meals. The results show that even slight changes in recipes could lead to savings of up to a third in carbon footprint as well as in material footprint. In relation to the out-of-home consumption sector, this results in the potential for substantial multiplication effects that will pave the way for the dissemination of sustainable nutrition.
Biodiversity is under threat all over the planet. Implementing sustainable out-of-home catering (OHC) is a key way to reduce the environmental impact of the agri-food sector. Thus far, there have been no studies that show the impact of food on biodiversity at the menu level in Germany. This means that neither commercial kitchens nor their patrons can record the biodiversity impact of the menus or dishes served there. This article describes the development of an assessment framework and some initial findings. The framework was developed on the basis of a systematic literature review and expert interviews. Taking this as a starting point, an indicator-based approach was developed with a focus on land use. The approach was then validated by assessing recipes used at OHC facilities. The results show that using the BiTe Biodiversity Index (BBI) that was developed, it is possible to assess the biodiversity impacts of meals and optimize them at the level of the dish. The article outlines the possible areas for improvement. Overall, it is clear that this approach can already be used in the OHC context today.
Food labels are able to support consumers in making more sustainable food choices in out-of-home consumption situations. Thereby, the effect of changing consumption behaviour depends on the format of food labels and on the information it provides. In order to assess the importance of the amount of information as well as the design of food labels displaying sustainability aspects, we test different formats of food labels using a best-worst choice design. So far, no research tested a variation of information depth while keeping label designs fixed. We find clear preferences across both dimensions. Results indicate that consumers regard labels with a higher information depth as more helpful in order to choose a sustainable meal. For the label design it became obvious that the slider-design is preferred over footprints and traffic light label design.
Household food waste is determined by a complex set of routinized behaviors, and disruption of these routines may allow for a decrease in this vast amount of food waste. The current study examines such a disruption of household routines: the meal box. The potential of meal boxes to diminish different types of household food waste is investigated for the first time, across different countries. After providing a framework comparing the effects of different types of meals on food waste, we subsequently examine the effects of subscription-based food supply (i.e., meal boxes) on total meal waste as well as on the different types of food waste: preparation, cooking, and plate waste. Our dataset contains 8747 meal observations from 955 households in six countries. Results from a Bayesian multilevel hurdle-lognormal model with random intercept show that, overall, meal boxes reduce total meal waste in comparison to traditionally cooked dinners (38% reduction). Meal boxes especially lower the occurrence and amount of pan-and-pot food that is wasted (i.e., cooking waste), and also lower the amount of meal preparation waste, yet lead to a higher occurrence of both preparation and plate waste compared to traditional meals. This shows how differences between meals affect household food waste, something that has received little prior research attention. Furthermore, whereas most prior research has focused on overall household food waste, our study illustrates that distinguishing between different types of household food waste can provide important new insights.