4.7 Article

Public perspectives on reducing the environmental impact of onshore wind farms: a discrete choice experiment in South Korea

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 27, 期 20, 页码 25582-25599

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-08949-0

关键词

Onshore wind farm; Environmental impact; Stated preference technique; Discrete choice model; Willingness to pay; Public acceptance

资金

  1. Korea Institute of Energy Technology Evaluation and Planning (KETEP)
  2. Ministry of Trade, Industry, and Energy (MOTIE) of the Republic of Korea [20184030202230]
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [20184030202230] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

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.

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