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Attitudes, threshold levels and cumulative effects of the daily wind-turbine encounters

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  • Ladenburg, Jacob
  • Dahlgaard, Jens-Olav

Abstract

An imperative factor in the identification of suitable wind-turbine locations and the subsequent development thereof is the general acceptance of the proposed wind turbines. In this perspective, the existing number of turbines is expected to be a driver of attitude. However, to date only a few studies have assessed the influence of the turbine density in the residential area has on attitude. The present paper sheds light on this issue and finds that attitude towards existing turbines is negatively related with the number of turbines encountered on a daily basis. If the respondents see more than five on-land turbines, they are less positive. However, conditional of seeing more than five turbines a day, opposition does not increase with increasing turbine encounters. These results suggest that the general long-run threshold for opposition towards wind turbines is five turbine encounters per day.

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  • Ladenburg, Jacob & Dahlgaard, Jens-Olav, 2012. "Attitudes, threshold levels and cumulative effects of the daily wind-turbine encounters," Applied Energy, Elsevier, vol. 98(C), pages 40-46.
    • Handle: RePEc:eee:appene:v:98:y:2012:i:c:p:40-46
    DOI: 10.1016/j.apenergy.2012.02.070
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    19. Giovanni Ottomano Palmisano & Annalisa De Boni & Rocco Roma & Claudio Acciani, 2021. "Influence of Wind Turbines on Farmlands’ Value: Exploring the Behaviour of a Rural Community through the Decision Tree," Sustainability, MDPI, vol. 13(17), pages 1-25, August.
    20. Ladenburg, Jacob & Termansen, Mette & Hasler, Berit, 2013. "Assessing acceptability of two onshore wind power development schemes: A test of viewshed effects and the cumulative effects of wind turbines," Energy, Elsevier, vol. 54(C), pages 45-54.
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    23. Jan Stede & Marc Blauert & Nils May, 2021. "Way Off: The Effect of Minimum Distance Regulation on the Deployment and Cost of Wind Power," Discussion Papers of DIW Berlin 1989, DIW Berlin, German Institute for Economic Research.

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