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The paper describes patterns of resource use related to German households' equipment. Using cluster analysis and material flow accounting, data on socio-demographic characteristics, and expenditures on fuel, electricity and household equipment allow for a differentiation of seven different household types. The corresponding resource use, expressed in Material Footprint per person and year, is calculated based on cradle-to-gate material flows of average household goods and the related household energy use. Our results show that patterns of resource use are mainly driven by the use of fuel and electricity and the ownership of cars. The quantified Material Footprints correlate to social status and are also linked to city size, age and household size. Affluent, established and/or younger families living in rural areas typically show the highest amounts of durables and expenditures on non-durables, thus exhibiting the highest use of natural resources.
Actor and network analysis
(2017)
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.
The article argues for a need to overcome a conventional notion of product design. In this regard, the article offers an integrative and systemic approach to sustainable design. Instead of focusing on objects, a user-centred perspective is adopted. A sustainable design of products and services requires the integration of production-orientated (efficiency and consistency) and consumption-orientated (sufficiency) strategies. The article introduces the concept of an indicator that is capable of comprehending a lifecycle-wide analysis of products and that favours the integration of existing sustainability strategies. The goal is not to design sustainable products but rather to design systems that manage to foster sustainable lifestyles. The article illustrates the usability of the introduced concept by showing examples of strategic integrative thinking in sustainable design from the Sustainable Summer Schools.
In early September 2014, about 4.000 scientists, activists and artists at the 4th International Conference on Degrowth sent out two messages.
1. Industrialized societies will change, either by disaster or by design. Accelerated resource exploitation and climate change can force societies into a transition. Or they swiftly develop new forms of economic, political and social organization which respect the planetary boundaries.
2. "Degrowth" has become a new social movement which translates scientific insights into cultural change, political change and social practice. Hence, the conference itself was an experiment on the potentials and limits of share economy, commoning and sufficiency.
A team of young scholars and activists from different German research institutes and non-govern- mental organisations prepared the conference. The team of the Wuppertal Institute was partly involved in the preperation of the conference. Scientists from all research groups took part in the conference, presenting and discussing project results.
The publication is a collection of contributions of the Wuppertal Institute to the conference and covers pivotal issues of the degrowth-debate: indicator development (Freyling & Schepelmann), working time reduction (Buhl), feminist theory (Biesecker & Winterfeld), and urban transition (Best).
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.
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".