Green Information Systems in general, and footprint calculators in particular, are promising feedback tools to assist people in adopting sustainable behaviour. Therefore, a Material Footprint model for use in an online footprint calculator was developed by identifying the most important predictors of the Material Footprint of the calculator's users. By means of statistical learning, the analysis revealed that 22 of the 95 predictors identified accounted for 74% of the variance in Material Footprints. Ten predictors out of the 95, mainly from the mobility domain, were capable of showing a prediction accuracy of 61%. The authors conclude that 22 predictors from the areas of mobility, housing and nutrition, as well as sociodemographic information, accurately predict a person's Material Footprint. The short and concise Material Footprint model may help developers and researchers to enhance their information systems with additional items while ensuring the data quality of such applications.
Recent research on the natural resource use of private consumption suggests a sustainable Material Footprint of 8 tons per capita by 2050 in industrialised countries. We analyse the Material Footprint in Germany from 2015 to 2020 in order to test whether the Material Footprint decreases accordingly. We studied the Material Footprint of 113,559 users of an online footprint calculator and predicted the Material Footprint by seasonally decomposed autoregressive (STL-ARIMA) and exponential smoothing (STL-ETS) algorithms. We find a relatively stable Material Footprint for private consumption. The overall Material Footprint decreased by 0.4% per year between 2015 and 2020 on average. The predictions do not suggest that the Material Footprint of private consumption follows the reduction path of 3.3% per year that will lead to the sustainable consumption of natural resource
Every diet has an impact on an individual's health status, the environment as well as on social aspects. In particular, ecological and social concerns are usually only vaguely assessed in the daily routines of out-of-home catering and a systematic sustainability assessment of meals is usually not carried out. Since May 2018, the menu calculator presented in this paper has been supporting stakeholders in various catering establishments with their sustainability assessment. The tool was developed within the NAHGAST project (www.nahgast.de) in cooperation with five practice partners and tested and validated by a total of 120 recipes. This article provides an overview of selected recipes' sustainability assessments (meals with fish and meat as well as vegetarian and vegan meals) and highlights the effects on the ecological, health and social dimensions.
Sustainable consumption policies affect households differently, in particular when they are confronted with limitations on income, time or freedom of movement (e.g. driving to work). And although it is possible to assess either the average or individual material footprint (per capita or via surveys), we lack methods to describe different types of households, their lifestyles and footprints in a representative manner.
We explore possibilities to do so in this article. Our interest lies in finding an applicable method that allows us to describe the footprint of households regarding their socio-demographic characteristics but also find the causes consumption behaviour. This type of monitoring would enable us to tailor policies for sustainable consumption that respect people's needs and restrictions.
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.
Gesund, umweltfreundlich und sozialverträglich : wie ein Onlinetool hilft, nachhaltiger zu kochen
(2020)
Jede Kostform hat Auswirkungen auf den individuellen Gesundheitsstatus, die Umwelt und soziale Aspekte. Insbesondere ökologische und soziale Belange werden im Alltag der Außer-Haus-Verpflegung in der Regel nur vage abgeschätzt, eine systematische Nachhaltigkeitsbewertung von Speisen findet zumeist nicht statt. Seit Mai 2018 unterstützt der hier vorgestellte Menü-Rechner Akteure in unterschiedlichen Verpflegungseinrichtungen bei der Nachhaltigkeitsbewertung. Das Instrument wurde im Rahmen des NAHGAST-Projektes (www.nahgast.de) in Kooperation mit fünf Praxispartnern entwickelt und durch insgesamt 120 Rezepturen getestet und validiert. Der vorliegende Artikel gibt einen Überblick über Nachhaltigkeitsbewertungen ausgewählter Rezepturen (Gerichte mit Fisch und Fleisch, sowie vegetarische und vegane Gerichte) und stellt heraus, welche Effekte sich für die ökologische, gesundheitliche und soziale Dimension zeigen.
Leftovers lovers vs. haters : a latent class analysis on dinner leftover management behaviours
(2023)
Leftovers are particularly at risk of being discarded, and therefore a main component of household food waste. This study provides insights into sources of heterogeneity in leftover management behaviours, with a particular focus on the use of meal kits providing matched portion and ingredient sizes, and identifies consumer segments via a latent class analysis. We investigate whether belonging to a segment with positive attitudes toward leftovers, and engagement in conscious leftover management behaviours decreases the amounts of dinner leftovers and food waste. Besides, we demonstrate that several food waste antecedents, emotions, personal norms, intention and dinner procurement routines elicit leftover management segment membership. In addition to examining such individual differences, we also investigate the role of meal-level determinants, in particular, whether meal kits heterogeneously affect dinner leftovers depending on the consumer's leftover management segment.
Data was collected from 868 households from six countries, using an online survey and diaries. Results of the latent class analysis point towards five consumer segments. We found differences in dinner leftovers amount across classes and detected heterogeneous effects of meal kits. That is, meal kits were able to diminish leftovers in two segments, but not in the other segments. These results provide novel insights into consumer heterogeneity regarding the occurrence, antecedents, and potential solutions of leftovers and resulting household food waste. Implications for both theory and policy are discussed.
"TRANSCITY" ist ein partizipatives, sozialökologisches Forschungsprojekt, das hinsichtlich seiner transformativen Wirkung im folgenden Text exemplarisch anhand der Arbeiten mit und in der Stadt Essen vorgestellt und analysiert wird. Im ersten Abschnitt werden die vielseitigen Herausforderungen der Klimakrise herausgearbeitet, die den Bezugsrahmen des Projektes bilden. Im Mittelpunkt der Projektvorstellung stehen die Projektidee, die Zielsetzungen sowie das Projektdesign und die Forschungsmethoden. Im abschließenden Kapitel werden die transformativen Wirkungen untersucht. Am Ende folgt ein zusammenfassender Ausblick.
Vor dem Hintergrund der zunehmenden Auswirkungen der Klimakrise und der durch den Angriffskriegs Russlands gegen die Ukraine entstandenen Energie- und Rohstoffversorgungsprobleme ist die Bundesregierung zu einem schnellen und zielführenden Handeln gezwungen. Neben der Herstellung von Versorgungssicherheit müssen die durch stark steigende Energie- und Lebensmittelpreise entstehenden sozialen Härten abgefedert werden. Um diese Aufgabe bestmöglich zu bewältigen, bedarf es eines politischen Instruments, das notwendige Veränderungen der Lebens- und Wirtschaftsweise ermöglicht und soziale Belastungen in den Krisen auffängt.
Mit Blick auf diese Problemstellung werden in diesem Wuppertal Report bereits vorhandene politische Instrumente, deren Mittel nicht zweckgebunden verwendet werden müssen, einer SWOT-Analyse unterzogen und erste Ideen für ein sogenanntes Transformationsgeld vorgestellt, das die Mehrdimensionalität der derzeitigen Problemlage berücksichtigt. Das Transformationsgeld ist als zweckungebundene staatliche Transferleistung konzipiert, um die Freiheit der Konsument*innen nicht einzuschränken und Preiseffekte nicht zu nivellieren. Die Höhe der Transferleistung hängt von der ökonomischen Situation des Haushalts ab und soll nicht nur eine Kompensation der Mehrkosten darstellen, sondern gesellschaftliche Teilhabe ermöglichen.
Abseits des Transformationsgelds liefert die Kurzstudie auch eine Einschätzung der Autor*innen, was aus ihrer Sicht kurzfristig gegen die bestehenden Probleme getan werden sollte.
Causal strands for social bonds : a case study on the credibility of claims from impact reporting
(2022)
The study investigates if causal claims based on a theory-of-change approach for impact reporting are credible. The authors use their most recent impact report for a Social Bond to show how theory-based logic models can be used to map the sustainability claims of issuers to quantifiable indicators. A single project family (homeownership loans) is then used as a case study to test the underlying hypotheses of the sustainability claims. By applying Bayes Theorem, evidence for and against the claims is weighted to calculate the degree to which the belief in the claims is warranted. The authors found that only one out of three claims describe a probable cause–effect chain for social benefits from the loans. The other two claims either require more primary data to be corroborated or should be re-defined to link the intervention more closely and robustly with the overarching societal goals. However, all previous reported indicators are below the thresholds of the most conservative estimates for fractions of beneficiaries in the paper at hand. We conclude that the combination of a Theory-of-Change with a Bayesian Analysis is an effective way to test the plausibility of sustainability claims and to mitigate biases. Nevertheless, the method is - in the presented form - also too elaborate and time-consuming for impact reporting in the sustainable finance market.
