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Does Participation Foster Transformation Processes towards Sustainable Energy Systems? A Case Study of the German Energy Transformation

Authors: Anna Ernst;

Does Participation Foster Transformation Processes towards Sustainable Energy Systems? A Case Study of the German Energy Transformation

Abstract

Sustainable energy transformation depends on learning processes, which allow us to cope with constantly changing environmental and social systems. Participation processes are viewed as a means of fostering social learning. In this paper, social learning is applied as an analytical concept to investigate the cognitive effects of participation such as knowledge acquisition, changes of perspective, and knowledge dissemination. Previous studies have indicated that certain characteristics of the participation process foster social learning. However, empirical evidence is still inconclusive, which is why this paper investigates which factors foster social learning. An empirical analysis was conducted on the basis of a quantitative online survey (N = 516), which questioned people who are in some way involved in the German energy transformation (Energiewende). The results show that social learning can be enhanced through participation. In particular, moderated processes—which foster a productive exchange, encourage the building of trust among participants, and allow easy access to relevant information—are likely to provide the appropriate conditions for social learning. Personal characteristics such as an individual’s degree of knowledge might have a greater influence on why people change their perspectives than the intensity of participation.

Country
Germany
Keywords

Environmental effects of industries and plants, info:eu-repo/classification/ddc/690, TJ807-830, TD194-195, Renewable energy sources, sustainable transformation, Environmental sciences, social learning, Energiewende, Germany, participation, GE1-350, energy

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold
Related to Research communities
Energy Research