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Rebound-Effekte sind die unerwünschten Wirkungen vieler Nachhaltigkeitsbemühungen. Gleichzeitig zeigen sie, dass gespartes Geld und gewonnene Zeit wieder reinvesitiert werden, damit wir mehr vom Leben haben, mehr tun und mehr erleben können - Rebound-Effekte sind Teil des Steigerungsspiels.
Auf der Grundlage soziologischer Theorien der Steigerung und Beschleunigung liefert das Buch eine umfassende Empirie zu indirekten Einkommens-, aber vor allem zu Zeiteffekten in Deutschland. Im Zentrum der empirischen Studien steht die Überprüfung einer dreifachen Dividende von Arbeitszeitverkürzungen - Ressourcenschonung, soziales Engagement und individuelle Lebenszufriedenheit. Zwar kompensieren Zeit-Rebound-Effekte potenzielle Ressourceneinsparungen in großen Teilen, aber nicht vollständig. Davon abgesehen äußern sich Zeit-Rebound-Effekte in ehrenamtlichem Engagement und individueller Zufriedenheit - erwünschte Wirkungen von Rebound-Effekten.
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.
The effectiveness of sustainable product and service innovations is often restricted by limited market acceptance or unexpected consumption patterns. The latter includes rebound effects, which occur when resources liberated by savings are used for further consumption. Recently emerging research from the Living Lab is striving to address and anticipate challenges in innovation design by integrating users in prototyping and field testing product and service innovations. The paper presents findings from a literature review on rebound effects and expert interviews identifying methods to monitor and measures to mitigate rebound effects in early innovation design via Living Lab research.
We find that monitoring and mitigating rebound effects in Living Lab research includes technological and behavioural triggers as well as socio-psychological and time use effects in addition to economic re-spending effects. The experts have confirmed that Living Labs contain the potential to observe complex demand systems of users within experimental designs, encompassing indirect rebound effects in terms of expenditure as well as time use. In this respect, Living Lab research can facilitate support for sustainable innovations, which aim to encourage changes in consumer behaviour, considering re-spending and time use effects simultaneously.
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
This paper argues that the contemporary growth paradigm needs to be reconsidered on a micro level of consumption and product service-systems. This becomes necessary since a dynamic link between macro strategies and micro implementation of sustainable growth is missing up to date. Therefore, mainstream sustainability strategies of efficiency and consistency are extended by sufficiency in order to integrate strategies for individual welfare within their social environment. Limits to and drivers for growth are revised and updated socially in terms of qualitative values, diminishing marginal utility or symbolic social distinction. We elaborate a definition of sustainable growth that fosters individual welfare by enhancing social enactment within the boundaries of environmental space. Shifting focus on social aspects in design fosters more sustainable production and consumption patterns while sustaining individual welfare. We derive latent indications for eco-intelligent product service-arrangements and evaluate to concepts by referring to introduced definitions and according indications. With doing so, we illustrate new pathways for the translation of sustainable growth and strategies into product service-systems.
Measure or management? : Resource use indicators for policymakers based on microdata by households
(2018)
Sustainable Development Goal 12 (SDG 12) requires sustainable production and consumption. One indicator named in the SDG for resource use is the (national) material footprint. A method and disaggregated data basis that differentiates the material footprint for production and consumption according to, e.g., sectors, fields of consumption as well as socioeconomic criteria does not yet exist. We present two methods and its results for analyzing resource the consumption of private households based on microdata: (1) an indicator based on representative expenditure data in Germany and (2) an indicator based on survey data from a web tool. By these means, we aim to contribute to monitoring the Sustainable Development Goals, especially the sustainable management and efficient use of natural resources. Indicators based on microdata ensure that indicators can be disaggregated by socioeconomic characteristics like age, sex, income, or geographic location. Results from both methods show a right-skewed distribution of the Material Footprint in Germany and, for instance, an increasing Material Footprint with increasing household income. The methods enable researchers and policymakers to evaluate trends in resource use and to differentiate between lifestyles and along socioeconomic characteristics. This, in turn, would allow us to tailor sustainable consumption policies to household needs and restrictions.