IDEAS home Printed from https://ideas.repec.org/p/nim/nimawp/52-2013.html
   My bibliography  Save this paper

Valuing wind farms’ environmental impacts by geographical distance: A contingent valuation study in Portugal

Author

Abstract

Wind energy is currently one the most important energy sources in the production of electricity. In this study, we use the CVM to elicit the monetary value attached to wind power’s environmental impacts from three different groups of individuals: local residents, residents in a nearby town, and residents outside the area of a wind farm located in Portugal, one of the top 10 countries in the world with the highest cumulative wind power capacity to date. In each case, our empirical analysis employs a novel likelihood function that is constructed to be appropriate for the type of data collected. The main results are supportive of a NYMBY effect, but also indicate that the amount needed to compensate local residents for the negative impacts caused by the wind farm can be raised by the constitution of a compensation fund paid by non-residents, thereby overcoming the inefficiency caused by the NYMBY effect.

Suggested Citation

  • Anabela Botelho & Lígia Costa Pinto & Patricia Sousa, 2013. "Valuing wind farms’ environmental impacts by geographical distance: A contingent valuation study in Portugal," NIMA Working Papers 52, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
  • Handle: RePEc:nim:nimawp:52/2013
    as

    Download full text from publisher

    File URL: http://www3.eeg.uminho.pt/publications/NIMAwp52.pdf
    File Function: full text
    Download Restriction: none

    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. Richard A. Hofler & John A. List, 2004. "Valuation on the Frontier: Calibrating Actual and Hypothetical Statements of Value," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 213-221.
    3. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    4. Nomura, Noboru & Akai, Makoto, 2004. "Willingness to pay for green electricity in Japan as estimated through contingent valuation method," Applied Energy, Elsevier, vol. 78(4), pages 453-463, August.
    5. Hoehn, John P. & Randall, Alan, 1987. "A satisfactory benefit cost indicator from contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 14(3), pages 226-247, September.
    6. Kunreuther, Howard & Kleindorfer, Paul & Knez, Peter J. & Yaksick, Rudy, 1987. "A compensation mechanism for siting noxious facilities: Theory and experimental design," Journal of Environmental Economics and Management, Elsevier, vol. 14(4), pages 371-383, December.
    7. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
    8. Saidur, R. & Rahim, N.A. & Islam, M.R. & Solangi, K.H., 2011. "Environmental impact of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2423-2430, June.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    10. 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.
    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. Anabela Botelho & Lina Lourenço-Gomes & Lígia Pinto & Sara Sousa & Marieta Valente, 2016. "Using stated preference methods to assess environmental impacts of forest biomass power plants in Portugal," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(5), pages 1323-1337, October.
    2. Mattmann, Matteo & Logar, Ivana & Brouwer, Roy, 2016. "Wind power externalities: A meta-analysis," Ecological Economics, Elsevier, vol. 127(C), pages 23-36.

    More about this item

    Keywords

    Contingent Valuation; uncertainty; renewable energy; Stochastic frontier models; Willingness to pay/accept; hypothetical bias;

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nim:nimawp:52/2013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (NIMA). General contact details of provider: http://nima.eeg.uminho.pt/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.