Item Type | Journal paper |
Abstract | This research paper describes the effect of different financial participation models for wind energy projects on the social acceptance of a hypothetical project. Based on the configuration of three different financial participation models tested in a pre-study with several industry experts, we conducted an experimental survey with a representative sample of Swiss electricity customers (n=1202). Our results indicate that a local resource tax that benefits the entire community is favored over individual financial participation models (namely, the opportunity for local citizens to participate through shares or bonds). For key stakeholders such as community attached people or those with a politically centrist, progressive mindset, the local resource tax leads to a significant increase in acceptance. As findings about specific financial participation models for wind energy projects are rare, our research creates a foundation on which social acceptance of wind energy projects at the local community level can be fostered. |
Authors | Vuichard, Pascal; Stauch, Alexander & Dällenbach, Nathalie |
Journal or Publication Title | Energy Research & Social Science |
Language | English |
Subjects | social sciences political science |
HSG Classification | contribution to scientific community |
HSG Profile Area | SoM - Responsible Corporate Competitiveness (RoCC) |
Refereed | Yes |
Publisher | Elsevier |
ISSN | 2214-6296 |
Official URL | https://www.sciencedirect.com/science/article/pii/... |
Contact Email Address | pascal.vuichard@unisg.ch |
Depositing User | Pascal Vuichard |
Date Deposited | 03 Oct 2019 08:53 |
Last Modified | 03 Oct 2019 08:54 |
URI: | https://www.alexandria.unisg.ch/publications/258014 |
DownloadFull text not available from this repository. (Request a copy)CitationVuichard, Pascal; Stauch, Alexander & Dällenbach, Nathalie Individual or collective? Community investment, local taxes, and the social acceptance of wind energy in Switzerland. Energy Research & Social Science, ISSN 2214-6296 Statisticshttps://www.alexandria.unisg.ch/id/eprint/258014
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