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Valuing the Visual Disamenity of Offshore Wind Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline

Author

Listed:
  • Andrew D. Krueger

    () (University of Delaware)

  • George R. Parsons

    () (Department of Economics, University of Delaware)

  • Jeremy Firestone

    () (University of Delaware)

Abstract

Several offshore wind power projects are under consideration in the United States. A concern with any wind power project is the visual disamenity it may create. Using a stated preference choice model, we estimated the external costs to residents of the State of Delaware for offshore wind turbines located at different distances from the coast. The annual costs to inland residents was $19, $9, $1, and $0 (2006$) for turbines located at 1, 3.6, 6, and 9 miles offshore. The cost to residents living on the ocean was $80, $69, $35, and $27 for the same increments.

Suggested Citation

  • Andrew D. Krueger & George R. Parsons & Jeremy Firestone, 2011. "Valuing the Visual Disamenity of Offshore Wind Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline," Working Papers 11-04, University of Delaware, Department of Economics.
  • Handle: RePEc:dlw:wpaper:11-04.
    as

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    File URL: http://graduate.lerner.udel.edu/sites/default/files/ECON/PDFs/RePEc/dlw/WorkingPapers/2011/UDWP2011-04.pdf
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    References listed on IDEAS

    as
    1. Groothuis, Peter A. & Groothuis, Jana D. & Whitehead, John C., 2008. "Green vs. green: Measuring the compensation required to site electrical generation windmills in a viewshed," Energy Policy, Elsevier, vol. 36(4), pages 1545-1550, April.
    2. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Simona Bigerna & Paolo Polinori, 2015. "Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey," Sustainability, MDPI, Open Access Journal, vol. 7(9), pages 1-24, August.
    2. Chiang, Amy C. & Keoleian, Gregory A. & Moore, Michael R. & Kelly, Jarod C., 2016. "Investment cost and view damage cost of siting an offshore wind farm: A spatial analysis of Lake Michigan," Renewable Energy, Elsevier, vol. 96(PA), pages 966-976.
    3. Vecchiato, Daniel & Tempesta, Tiziano, 2015. "Public preferences for electricity contracts including renewable energy: A marketing analysis with choice experiments," Energy, Elsevier, vol. 88(C), pages 168-179.
    4. 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.
    5. Bonar, Paul A.J. & Bryden, Ian G. & Borthwick, Alistair G.L., 2015. "Social and ecological impacts of marine energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 486-495.
    6. Ek, Kristina & Persson, Lars, 2014. "Wind farms — Where and how to place them? A choice experiment approach to measure consumer preferences for characteristics of wind farm establishments in Sweden," Ecological Economics, Elsevier, vol. 105(C), pages 193-203.
    7. Kaldellis, J.K. & Apostolou, D. & Kapsali, M. & Kondili, E., 2016. "Environmental and social footprint of offshore wind energy. Comparison with onshore counterpart," Renewable Energy, Elsevier, vol. 92(C), pages 543-556.
    8. Sascha Samadi, 2017. "The Social Costs of Electricity Generation—Categorising Different Types of Costs and Evaluating Their Respective Relevance," Energies, MDPI, Open Access Journal, vol. 10(3), pages 1-37, March.
    9. 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.
    10. Soliño, Mario & Farizo, Begoña A. & Vázquez, María X. & Prada, Albino, 2012. "Generating electricity with forest biomass: Consistency and payment timeframe effects in choice experiments," Energy Policy, Elsevier, vol. 41(C), pages 798-806.
    11. Simora, Michael, 2017. "The effect of financial compensation on the acceptance of power lines: Evidence from a randomized discrete choice experiment in Germany," Ruhr Economic Papers 729, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Griffin, Robert & Chaumont, Nicolas & Denu, Douglas & Guerry, Anne & Kim, Choong-Ki & Ruckelshaus, Mary, 2015. "Incorporating the visibility of coastal energy infrastructure into multi-criteria siting decisions," Marine Policy, Elsevier, vol. 62(C), pages 218-223.
    13. Fast, Stewart & Mabee, Warren, 2015. "Place-making and trust-building: The influence of policy on host community responses to wind farms," Energy Policy, Elsevier, vol. 81(C), pages 27-37.
    14. Hall, Damon M. & Lazarus, Eli D., 2015. "Deep waters: Lessons from community meetings about offshore wind resource development in the U.S," Marine Policy, Elsevier, vol. 57(C), pages 9-17.
    15. repec:gam:jsusta:v:10:y:2018:i:1:p:208-:d:127158 is not listed on IDEAS
    16. 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.

    More about this item

    Keywords

    Windfarms; View Disamenity; Valuation;

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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