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When is enough, enough? Identifying predictors of capacity estimates for onshore wind-power development in a region of the UK

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  • Jones, Christopher R.
  • Orr, Barry J.
  • Eiser, J. Richard

Abstract

The level of 'wind-prospecting' presently occurring in the UK is increasing the likelihood that new wind-power developments will conflict with other existing and/or proposed schemes. This study reports multiple-regression analyses performed on survey data obtained in a region of the UK (i.e. Humberhead Levels, near Doncaster) simultaneously subject to nine wind-farm proposals (September 2008). The aim of the analysis was to identify which survey-items were predictors of respondents' estimates of the number of wind turbines they believed the region could reasonably support (i.e. capacity estimates). The results revealed that the majority of respondents would endorse some local development; however, there was substantial variability in the upper level that was considered acceptable. Prominent predictors included general attitude, perceived knowledge of wind power, community attachment, environmental values, visual attractiveness of wind turbines, and issues relating to perceived fairness and equity. The results have implications for Cumulative Effects Assessment (CEA) - and in particular the assessment of Cumulative Landscape and Visual Impacts (CLVI) - and support calls for greater community involvement in decisions regarding proposed schemes.

Suggested Citation

  • Jones, Christopher R. & Orr, Barry J. & Eiser, J. Richard, 2011. "When is enough, enough? Identifying predictors of capacity estimates for onshore wind-power development in a region of the UK," Energy Policy, Elsevier, vol. 39(8), pages 4563-4577, August.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:8:p:4563-4577
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Strazzera, Elisabetta & Mura, Marina & Contu, Davide, 2012. "Combining choice experiments with psychometric scales to assess the social acceptability of wind energy projects: A latent class approach," Energy Policy, Elsevier, vol. 48(C), pages 334-347.
    2. Betakova, Vendula & Vojar, Jiri & Sklenicka, Petr, 2015. "Wind turbines location: How many and how far?," Applied Energy, Elsevier, vol. 151(C), pages 23-31.
    3. Upham, Paul & García Pérez, Jesús, 2015. "A cognitive mapping approach to understanding public objection to energy infrastructure: The case of wind power in Galicia, Spain," Renewable Energy, Elsevier, vol. 83(C), pages 587-596.
    4. 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.
    5. 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.
    6. repec:eee:renene:v:112:y:2017:i:c:p:93-103 is not listed on IDEAS
    7. 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.
    8. Vanja WESTERBERG & Jette BREDAHL JACOBSEN & Robert LIFRAN, 2012. "The Multi-faceted Nature of Preferences for Offshore Wind Farm Siting," Working Papers 12-22, LAMETA, Universitiy of Montpellier, revised Jul 2012.
    9. Ladenburg, Jacob & Lutzeyer, Sanja, 2012. "The economics of visual disamenity reductions of offshore wind farms—Review and suggestions from an emerging field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6793-6802.

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