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Im Rahmen des Forschungsprojektes wurde auf der Ebene von privaten Haushalten untersucht, in welchem Ausmaß eine Bedürfnisbefriedigung mit materiellen Gütern innerhalb der Randbedingungen von globaler Gerechtigkeit, einer nachhaltigen Rohstoffnutzung und einer umweltverträglichen Gesellschaft möglich ist. Zur Bestimmung des Rohstoffbedarfs langlebiger Haushaltsgüter wurden das methodische Konzept der Verfügungskorridore entwickelt und empirisch fundiert sowie global tragfähige Ausstattungen für verschiedene Haushalte prototypisch dargestellt. Das im Rahmen des Projekts entwickelte Webtool veranschaulicht wesentliche Ergebnisse des Forschungsvorhabens. Vor dem Hintergrund ihrer eigenen Haushaltsausstattungen wird den Nutzer/-innen des Webtools das Forschungsthema "Rohstoffverbrauch und Nachhaltigkeit" exemplarisch veranschaulicht, wodurch eine konkrete Reflexion des eigenen Konsumverhaltens ermöglicht wird.
The transformation processes towards a sustainable development are complex. How can science contribute towards new solutions and ideas leading to change in practice? The authors of this book discuss these questions along the energy transition in the building sector.
A transformative research that leaves the neutral observer position needs appropriate concepts and methods: how can knowledge from different disciplines and from practice be integrated in order to be able to explain and understand complex circumstances and interrelations? What role do complex (agent-based) models and experiments play in this respect? Which mix of methods is required in transformative science in order to actively support the actors in transformation processes?
Theses questions are illustrated by the example of the BMBF funded project "EnerTransRuhr".
Die Transformationsprozesse hin zu einer nachhaltigen Entwicklung sind komplex.
Wie kann Wissenschaft dazu beitragen, dass neue Lösungen und Ideen in der Praxis zu Veränderung führen? Dieser Frage gehen die Autorinnen und Autoren am Beispiel der Gebäudeenergiewende nach. Eine transformative Forschung, die den neutralen Beobachterposten verlässt, braucht entsprechende Konzepte und Methoden: Wie kann Wissen aus unterschiedlichen Disziplinen und aus der Praxis integriert werden, um komplexe Sachverhalte und Zusammenhänge zu erklären und zu verstehen? Welche Rolle spielen komplexe (agentenbasierte) Modelle und Experimente dabei? Wie sieht der Methodenmix einer transformativen Wissenschaft aus, die Akteure bei Transformationsprozessen aktiv unterstützt? Illustriert werden diese Fragen am Beispiel des vom BMBF geförderten Forschungsprojektes "EnerTransRuhr".
In contrast to the original investigation by William Stanley Jevons, compensations of energy savings due to improved energy efficiency are mostly analyzed by providing energy consumption or greenhouse gas emissions. In support of a sustainable resource management, this paper analyzes so-called rebound effects based on resource use. Material flows and associated expenditures by households allow for calculating resource intensities and marginal propensities to consume. Marginal propensities to consume are estimated from data of the German Socio-Economic Panel (SOEP) in order to account for indirect rebound effects for food, housing and mobility. Resource intensities are estimated in terms of total material requirements per household final consumption expenditures along the Classification of Individual Consumption according to Purpose (COICOP). Eventually, rebound effects are indicated on the basis of published saving scenarios in resource and energy demand for Germany. In sum, compensations due to rebound effects are lowest for food while the highest compensations are induced for mobility. This is foremost the result of a relatively high resource intensity of food and a relatively low resource intensity in mobility. Findings are provided by giving various propensity scenarios in order to cope with income differences in Germany. The author concludes that policies on resource conservation need to reconsider rebound effects under the aspect of social heterogeneity.
Das Ziel dieser Basisstudie ist es Ursachen für Rebound-Effekte und potentielle Gegenmaßnahmen aufzuzeigen. Zudem sollen Möglichkeiten zur Beobachtung und Verringerung von Rebound-Effekten in Living Labs beschrieben werden.
Dieses Arbeitspapier ist ein Ergebnis aus dem Arbeitspaket 1 "Bestandsaufnahme des Innovationsumfeldes für Living Labs" im Rahmen des Projektes "Living Labs in der Green Economy: Realweltliche Innovationsräume für Nutzerintegration und Nachhaltigkeit" (INNOLAB), das im Rahmen der Sozial-ökologischen Forschung zum Themenschwerpunkt "Nachhaltiges Wirtschaften" vom Bundesministerium für Bildung und Forschung gefördert wird.
Die Basisstudie stützt sich auf eine Literaturanalyse von ausgewählten Schlüsselstudien sowie auf fünf Experteninterviews und deren Inhaltsanalyse.
Es zeigt sich, dass sowohl technologische Innovationen als auch Verhaltensänderungen als Auslöser von Rebound-Effekten unterschieden werden. Von diesen Auslösern ausgehend, entstehen zunächst unmittelbare Effekte, die dann Rebound- Effekte über drei unterschiedliche Mechanismen bewirken können: über monetäre Effekte (also aufgrund von Geldeinsparungen), über Zeiteffekte (also aufgrund von Zeiteinsparungen) und über sozial-psychologische Effekte. Rebound-Effekte können sich durch die Reinvestition eingesparter Geld- und Zeitbudgets im Bedarfsfeld der ursprünglichen Einsparung (als direkte Rebound-Effekte) oder in einem anderen Bedarfsfeld (als indirekte Rebound-Effekte) ergeben, siehe nachfolgende Abbildung.
In the face of growing popularity of eco-feedback innovations, recent studies draw attention to the relevance of the human factor for a more effective design of eco-feedback. This paper explores these challenges more deeply by employing a mixed methods approach. We provide in-situ insights from a Living Lab experiment on the effect of smart home systems and traffic light feedback on heating energy consumption in private households. Our results from an interrupted time series analysis of logged data on indoor room temperature, CO2 concentration and consumption of natural gas show that the interventions do not affect heating as expected, neither for automating behaviour via high-tech smart home systems nor via low-tech traffic light feedback. Smart home systems do not promise a significant reduction of heating energy consumption and a traffic light feedback on indoor air quality does not lead to a reaction of indoor CO2 concentrations, but may reduce heating energy consumption. Qualitative interviews on heating practices of participants suggests that comfort temperatures, lack of competences and inert heating systems do override expected effects of the feedback interventions. We propose that high-tech smart home systems should carefully consider the handling competences of users. Low-tech feedback products on the other hand should by design stronger address user experience factors like comfort temperatures.
We present the results of a regression analysis of a large-scale integrated user online application that surveys natural resource use and subjective well-being in Germany. We analyse more than 44,000 users who provided information on their natural resource consumption (material footprint) as well as their personal socio-economic and socio-psychological characteristics. We determine an average material footprint of 26 tonnes per person per year. In addition, we endeavour to determine how much environment humans need by regressing natural resource use as well as relevant socio-economic and socio-psychological features on subjective well-being. We establish a slightly negative correlation between subjective well-being and material footprints. A higher material footprint is associated with lower subjective well-being. We conclude that consumer policies seeking to promote sustainable behaviour should highlight the fact that a lower material footprint may result in greater subjective well-being.
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
Footprint calculators are efficient tools to monitor the environmental impact of private consumption. We present the results of an analysis of data entered into an online Material Footprint calculator undertaken to identify the socioeconomic drivers of the Material Footprint in different areas of consumption, from housing to holidaymaking. We developed regression models to reveal (1) the impact of socioeconomic characteristics on Material Footprints of private households and (2) correlations between the components of Material Footprints for different arrays of consumption. Our results show that an increasing Material Footprint in one array of consumption comes with an increasing Material Footprint in all other arrays, with the exception of housing and holidaymaking. The socioeconomic characteristics of users have a significant impact on their Material Footprints. However, this impact varies by the array of consumption. Households only exhibit generally bigger Material Footprints as a result of higher incomes and larger dwellings. We conclude that indicators which strive to monitor resource efficiency should survey disaggregated data in order to classify the resource use to different population groups and arrays of consumption.