Public perspectives on reducing the environmental impact of onshore wind farms: a discrete choice experiment in South Korea.
Discrete choice model
Environmental impact
Onshore wind farm
Public acceptance
Stated preference technique
Willingness to pay
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
05
11
2019
accepted:
17
04
2020
pubmed:
1
5
2020
medline:
11
7
2020
entrez:
1
5
2020
Statut:
ppublish
Résumé
Onshore wind farms have the advantage of a lower cost than offshore wind farms, but their negative environmental impact has been pointed out as a problem. If this environmental impact can be lessened, public acceptance of onshore wind farms will be significantly increased. This study investigates public attitudes to the lessening of the environmental impact of onshore wind farms, focusing on three specific attributes: visual impact, ecosystem destruction and noise pollution. The area of empirical analysis is South Korea, and the choice experiment data are analysed using a mixed logit model to reflect the heterogeneity of the respondents' preferences. The analysis results show that there is considerable heterogeneity in respondents' preferences and that they regard the visual impact and the ecosystem destruction as more important than the noise pollution. Respondents are willing to pay KRW 197, KRW 138 and KRW 69 for a 1% improvement in visual impact, a 1% reduction in ecosystem destruction and a 1-dB reduction in noise, respectively. The results of the scenario analysis show that simultaneous improvements in the three attributes should be made in order to ensure a certain level of public acceptance. Related policy implications are provided based on the analysis results.
Identifiants
pubmed: 32350845
doi: 10.1007/s11356-020-08949-0
pii: 10.1007/s11356-020-08949-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
25582-25599Subventions
Organisme : Korea Institute of Energy Technology Evaluation and Planning
ID : 20184030202230