Factors affecting the community acceptance of onshore wind farms

  • The conflict between wind energy expansion and local environmental protection has attracted attention from society and initiated a fierce discussion about the community acceptance of wind farms. There are various empirical studies on factors affecting the public acceptance of wind farms, but little concerning the correlation and significance of factors, especially in a close distance to the wind farms. This paper aims to identify, classify, and analyze the factors affecting community acceptance through literature review, questionnaire, variance analysis, and linear regression analysis. A total of 169 questionnaires was conducted in 17 villages around the Zhongying Wind Farm in Zhejiang Province, China. The factors are categorized into four groups: Location-related factors, demographic factors, environmental impact factors, and public participation factors. Through the analysis of variance (ANOVA) and linear regression analysis, the outcome shows the universal rule of community acceptance under the Chinese social background. Finally, recommendations for improving wind farm planning procedures are put forward.

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Metadaten
Author:Jinjin GuanGND, Harald ZeppGND
URN:urn:nbn:de:hbz:294-76057
DOI:https://doi.org/10.3390/su12176894
Parent Title (English):Sustainability
Subtitle (English):a case study of the Zhongying wind farm in eastern China
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Date of Publication (online):2020/10/30
Date of first Publication:2020/08/25
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Tag:Open Access Fonds
analysis of variance (ANOVA); community acceptance; environmental impact; onshore wind farm; public participation; regression analysis; wind energy planning
Volume:12
Issue:17, Article 6894
First Page:6894-1
Last Page:6894-19
Note:
Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum.
Institutes/Facilities:Geographisches Institut
open_access (DINI-Set):open_access
faculties:Fakultät für Geowissenschaften
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International