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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.

Suggested Citation

  • 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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    References listed on IDEAS

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    Citations

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    Cited by:

    1. McKenna, R. & Hollnaicher, S. & Fichtner, W., 2014. "Cost-potential curves for onshore wind energy: A high-resolution analysis for Germany," Applied Energy, Elsevier, vol. 115(C), pages 103-115.
    2. Jan Stede & Nils May, 2020. "Way Off: The Effect of Minimum Distance Regulation on the Deployment of Wind Power," Discussion Papers of DIW Berlin 1867, DIW Berlin, German Institute for Economic Research.
    3. Meyerhoff, Jürgen, 2013. "Do turbines in the vicinity of respondents' residences influence choices among programmes for future wind power generation?," Journal of choice modelling, Elsevier, vol. 7(C), pages 58-71.
    4. Jäger, Tobias & McKenna, Russell & Fichtner, Wolf, 2016. "The feasible onshore wind energy potential in Baden-Württemberg: A bottom-up methodology considering socio-economic constraints," Renewable Energy, Elsevier, vol. 96(PA), pages 662-675.
    5. Broekel, Tom & Alfken, Christoph, 2015. "Gone with the wind? The impact of wind turbines on tourism demand," Energy Policy, Elsevier, vol. 86(C), pages 506-519.
    6. Anders Dugstad & Kristine Grimsrud & Gorm Kipperberg & Henrik Lindhjem & Ståle Navrud, 2020. "Acceptance of national wind power development and exposure. A case-control choice experiment approach," Discussion Papers 933, Statistics Norway, Research Department.
    7. Ólafsdóttir, Rannveig & Sæþórsdóttir, Anna Dóra, 2019. "Wind farms in the Icelandic highlands: Attitudes of local residents and tourism service providers," Land Use Policy, Elsevier, vol. 88(C).
    8. Leer Jørgensen, Marie & Anker, Helle Tegner & Lassen, Jesper, 2020. "Distributive fairness and local acceptance of wind turbines: The role of compensation schemes," Energy Policy, Elsevier, vol. 138(C).
    9. Sovacool, Benjamin K., 2017. "Contestation, contingency, and justice in the Nordic low-carbon energy transition," Energy Policy, Elsevier, vol. 102(C), pages 569-582.
    10. 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.
    11. Picchi, Paolo & van Lierop, Martina & Geneletti, Davide & Stremke, Sven, 2019. "Advancing the relationship between renewable energy and ecosystem services for landscape planning and design: A literature review," Ecosystem Services, Elsevier, vol. 35(C), pages 241-259.
    12. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    13. Betakova, Vendula & Vojar, Jiri & Sklenicka, Petr, 2015. "Wind turbines location: How many and how far?," Applied Energy, Elsevier, vol. 151(C), pages 23-31.
    14. Lauren Knapp & Jacob Ladenburg, 2015. "How Spatial Relationships Influence Economic Preferences for Wind Power—A Review," Energies, MDPI, Open Access Journal, vol. 8(6), pages 1-25, June.
    15. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.

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