[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v72y2018icp621-639.html
   My bibliography  Save this article

The amenity costs of offshore wind farms: Evidence from a choice experiment

Author

Listed:
  • Lutzeyer, Sanja
  • Phaneuf, Daniel J.
  • Taylor, Laura O.
Abstract
We conduct a choice-experiment with individuals that recently rented a vacation property along the North Carolina coastline to assess the impacts of a utility-scale wind farm on their rental decisions. Visualizations were presented to survey respondents that varied both the number of turbines and their proximity to shore. Results indicate that there is not a scenario for which respondents would be willing to pay more to rent a home with turbines in view, as compared to the baseline view with no turbines in sight. Further, there is a substantial portion of the survey population that would change their vacation destination if wind farms were placed within visual range of the beach. The rental discounts required to attract the segment of the survey population most amenable to viewing wind farms still indicate that rental value losses of up to 10% are possible if a utility-scale wind farm is placed within 8 miles of shore.

Suggested Citation

  • Lutzeyer, Sanja & Phaneuf, Daniel J. & Taylor, Laura O., 2018. "The amenity costs of offshore wind farms: Evidence from a choice experiment," Energy Economics, Elsevier, vol. 72(C), pages 621-639.
  • Handle: RePEc:eee:eneeco:v:72:y:2018:i:c:p:621-639
    DOI: 10.1016/j.eneco.2018.03.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988318301014
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2018.03.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Westerberg, Vanja & Jacobsen, Jette Bredahl & Lifran, Robert, 2013. "The case for offshore wind farms, artificial reefs and sustainable tourism in the French mediterranean," Tourism Management, Elsevier, vol. 34(C), pages 172-183.
    2. Flynn, Terry Nicholas & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2010. "Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters," Social Science & Medicine, Elsevier, vol. 70(12), pages 1957-1965, June.
    3. Phaneuf,Daniel J. & Requate,Till, 2017. "A Course in Environmental Economics," Cambridge Books, Cambridge University Press, number 9781107004177, September.
    4. Landry, Craig E. & Allen, Tom & Cherry, Todd & Whitehead, John C., 2012. "Wind turbines and coastal recreation demand," Resource and Energy Economics, Elsevier, vol. 34(1), pages 93-111.
    5. 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.
    6. 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.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    8. Andrew D. Krueger & George R. Parsons & Jeremy Firestone, 2011. "Valuing the Visual Disamenity of Offshore Wind Power Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline," Land Economics, University of Wisconsin Press, vol. 87(2), pages 268-283.
    9. Myhr, Anders & Bjerkseter, Catho & Ågotnes, Anders & Nygaard, Tor A., 2014. "Levelised cost of energy for offshore floating wind turbines in a life cycle perspective," Renewable Energy, Elsevier, vol. 66(C), pages 714-728.
    10. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    11. Martin D. Heintzelman & Carrie M. Tuttle, 2012. "Values in the Wind: A Hedonic Analysis of Wind Power Facilities," Land Economics, University of Wisconsin Press, vol. 88(3), pages 571-588.
    12. Ladenburg, Jacob & Dubgaard, Alex, 2007. "Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark," Energy Policy, Elsevier, vol. 35(8), pages 4059-4071, August.
    13. Thiene, Mara & Meyerhoff, Jürgen & De Salvo, Maria, 2012. "Scale and taste heterogeneity for forest biodiversity: Models of serial nonparticipation and their effects," Journal of Forest Economics, Elsevier, vol. 18(4), pages 355-369.
    14. Gibbons, Stephen, 2015. "Gone with the wind: Valuing the visual impacts of wind turbines through house prices," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 177-196.
    15. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    16. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2014. "The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines," Land Economics, University of Wisconsin Press, vol. 90(4), pages 668-682.
    17. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    18. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    19. Phaneuf,Daniel J. & Requate,Till, 2017. "A Course in Environmental Economics," Cambridge Books, Cambridge University Press, number 9780521178693, September.
    20. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    21. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2014. "The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines," Land Economics, University of Wisconsin Press, vol. 90(4), pages 668-682.
    22. Lang, Corey & Opaluch, James J. & Sfinarolakis, George, 2014. "The windy city: Property value impacts of wind turbines in an urban setting," Energy Economics, Elsevier, vol. 44(C), pages 413-421.
    23. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yilmaz, Selin & Chanez, Cédric & Cuony, Peter & Patel, Martin Kumar, 2022. "Analysing utility-based direct load control programmes for heat pumps and electric vehicles considering customer segmentation," Energy Policy, Elsevier, vol. 164(C).
    2. Voltaire, Louinord & Koutchade, Obafèmi Philippe, 2020. "Public acceptance of and heterogeneity in behavioral beach trip responses to offshore wind farm development in Catalonia (Spain)," Resource and Energy Economics, Elsevier, vol. 60(C).
    3. Parsons, George & Firestone, Jeremy & Yan, Lingxiao & Toussaint, Jenna, 2020. "The effect of offshore wind power projects on recreational beach use on the east coast of the United States: Evidence from contingent-behavior data," Energy Policy, Elsevier, vol. 144(C).
    4. Dröes, Martijn I. & Koster, Hans R.A., 2021. "Wind turbines, solar farms, and house prices," Energy Policy, Elsevier, vol. 155(C).
    5. Dugstad, Anders & Grimsrud, Kristine & Kipperberg, Gorm & Lindhjem, Henrik & Navrud, Ståle, 2020. "Acceptance of wind power development and exposure – Not-in-anybody's-backyard," Energy Policy, Elsevier, vol. 147(C).
    6. Joalland, Olivier & Mahieu, Pierre-Alexandre, 2023. "Developing large-scale offshore wind power programs: A choice experiment analysis in France," Ecological Economics, Elsevier, vol. 204(PA).
    7. Ladenburg, Jacob & Hevia-Koch, Pablo & Petrović, Stefan & Knapp, Lauren, 2020. "The offshore-onshore conundrum: Preferences for wind energy considering spatial data in Denmark," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    8. Carr-Harris, Andrew & Lang, Corey, 2019. "Sustainability and tourism: the effect of the United States’ first offshore wind farm on the vacation rental market," Resource and Energy Economics, Elsevier, vol. 57(C), pages 51-67.
    9. Tu, Qiang & Mo, Jianlei & Liu, Zhuoran & Gong, Chunxu & Fan, Ying, 2021. "Using green finance to counteract the adverse effects of COVID-19 pandemic on renewable energy investment-The case of offshore wind power in China," Energy Policy, Elsevier, vol. 158(C).
    10. 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.
    11. Ladenburg, Jacob & Skotte, Maria, 2022. "Heterogeneity in willingness to pay for the location of offshore wind power development: An application of the willingness to pay space model," Energy, Elsevier, vol. 241(C).
    12. Dugstad, Anders & Brouwer, Roy & Grimsrud, Kristine & Kipperberg, Gorm & Lindhjem, Henrik & Navrud, Ståle, 2024. "Nature is ours! – Psychological ownership and preferences for wind energy," Energy Economics, Elsevier, vol. 129(C).
    13. Cranmer, Alexana & Broughel, Anna Ebers & Ericson, Jonathan & Goldberg, Mike & Dharni, Kira, 2023. "Getting to 30 GW by 2030: Visual preferences of coastal residents for offshore wind farms on the US East Coast," Energy Policy, Elsevier, vol. 173(C).
    14. Peri, Erez & Becker, Nir & Tal, Alon, 2020. "What really undermines public acceptance of wind turbines? A choice experiment analysis in Israel," Land Use Policy, Elsevier, vol. 99(C).
    15. Cerdá, Emilio & López-Otero, Xiral & Quiroga, Sonia & Soliño, Mario, 2024. "Willingness to pay for renewables: Insights from a meta-analysis of choice experiments," Energy Economics, Elsevier, vol. 130(C).
    16. Linnerud, K. & Dugstad, A. & Rygg, B.J., 2022. "Do people prefer offshore to onshore wind energy? The role of ownership and intended use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    17. Boyle, Kevin J. & Boatwright, Jessica & Brahma, Sreeya & Xu, Weibin, 2019. "NIMBY, not, in siting community wind farms," Resource and Energy Economics, Elsevier, vol. 57(C), pages 85-100.
    18. Dong, Luran & Lang, Corey, 2022. "Do views of offshore wind energy detract? A hedonic price analysis of the Block Island wind farm in Rhode Island," Energy Policy, Elsevier, vol. 167(C).
    19. Shinsuke KYOI & Kengo IWATA & Yoshiaki USHIFUSA, 2024. "Local Citizens' Preferences for Offshore Wind Turbine Development: An Empirical Evidence from Four Prospective Prefectures in Japan," KIER Working Papers 1101, Kyoto University, Institute of Economic Research.
    20. Cohen, Jed J. & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2021. "Preferences for community renewable energy investments in Europe," Energy Economics, Elsevier, vol. 100(C).
    21. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
    22. Elsa Varela & Zein Kallas, 2022. "Societal preferences for the conservation of traditional pig breeds and their agroecosystems: Addressing preference heterogeneity and protest responses through deterministic allocation and scale‐exten," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 761-788, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ladenburg, Jacob & Skotte, Maria, 2022. "Heterogeneity in willingness to pay for the location of offshore wind power development: An application of the willingness to pay space model," Energy, Elsevier, vol. 241(C).
    2. Lauren Knapp & Jacob Ladenburg, 2015. "How Spatial Relationships Influence Economic Preferences for Wind Power—A Review," Energies, MDPI, vol. 8(6), pages 1-25, June.
    3. García, Jorge H. & Cherry, Todd L. & Kallbekken, Steffen & Torvanger, Asbjørn, 2016. "Willingness to accept local wind energy development: Does the compensation mechanism matter?," Energy Policy, Elsevier, vol. 99(C), pages 165-173.
    4. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    5. Voltaire, Louinord & Koutchade, Obafèmi Philippe, 2020. "Public acceptance of and heterogeneity in behavioral beach trip responses to offshore wind farm development in Catalonia (Spain)," Resource and Energy Economics, Elsevier, vol. 60(C).
    6. Ladenburg, Jacob & Hevia-Koch, Pablo & Petrović, Stefan & Knapp, Lauren, 2020. "The offshore-onshore conundrum: Preferences for wind energy considering spatial data in Denmark," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    7. Brennan, Noreen & Van Rensburg, Thomas M, 2016. "Wind farm externalities and public preferences for community consultation in Ireland: A discrete choice experiments approach," Energy Policy, Elsevier, vol. 94(C), pages 355-365.
    8. Boyle, Kevin J. & Boatwright, Jessica & Brahma, Sreeya & Xu, Weibin, 2019. "NIMBY, not, in siting community wind farms," Resource and Energy Economics, Elsevier, vol. 57(C), pages 85-100.
    9. Yingdan Mei & Pengfei Liu & Lina Meng & Lu Lin, 2024. "Evaluate the Impacts of Wind Farm Facilities on Land Values with Geographically-Linked Microdata in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(2), pages 465-489, February.
    10. Petter Gudding & Gorm Kipperberg & Craig Bond & Kelly Cullen & Eric Steltzer, 2018. "When a Good Is a Bad (or a Bad Is a Good)—Analysis of Data from an Ambiguous Nonmarket Valuation Setting," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
    11. Peri, Erez & Becker, Nir & Tal, Alon, 2020. "What really undermines public acceptance of wind turbines? A choice experiment analysis in Israel," Land Use Policy, Elsevier, vol. 99(C).
    12. Sascha Samadi, 2017. "The Social Costs of Electricity Generation—Categorising Different Types of Costs and Evaluating Their Respective Relevance," Energies, MDPI, vol. 10(3), pages 1-37, March.
    13. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2021. "Optimal siting of onshore wind turbines: Local disamenities matter," UFZ Discussion Papers 4/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    14. Parsons, George & Firestone, Jeremy & Yan, Lingxiao & Toussaint, Jenna, 2020. "The effect of offshore wind power projects on recreational beach use on the east coast of the United States: Evidence from contingent-behavior data," Energy Policy, Elsevier, vol. 144(C).
    15. 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.
    16. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan & Vance, Colin, 2019. "Local cost for global benefit: The case of wind turbines," Ruhr Economic Papers 791, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, revised 2019.
    17. Carr-Harris, Andrew & Lang, Corey, 2019. "Sustainability and tourism: the effect of the United States’ first offshore wind farm on the vacation rental market," Resource and Energy Economics, Elsevier, vol. 57(C), pages 51-67.
    18. Hans Westlund & Mats Wilhelmsson, 2021. "The Socio-Economic Cost of Wind Turbines: A Swedish Case Study," Sustainability, MDPI, vol. 13(12), pages 1-16, June.
    19. 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.
    20. Yushi Kunugi & Toshi H. Arimura & Miwa Nakai, 2021. "The Long-Term Impact of Wind Power Generation on a Local Community: Economics Analysis of Subjective Well-Being Data in Chōshi City," Energies, MDPI, vol. 14(13), pages 1-18, July.

    More about this item

    Keywords

    Offshore wind farms; Choice experiment; Coastal rental markets; Latent class models;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:72:y:2018:i:c:p:621-639. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.