IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v41y2015icp647-657.html
   My bibliography  Save this article

Heterogeneous preferences toward landscape externalities of wind turbines – combining choices and attitudes in a hybrid model

Author

Listed:
  • Mariel, Petr
  • Meyerhoff, Jürgen
  • Hess, Stephane

Abstract

Expanding the share of renewable energy sources might substantially increase externalities as, for example, wind turbines may disturb the landscape and negatively affect biodiversity. This paper investigates the public׳s sensitivities towards these externalities by using discrete choice experiments and shows how preferences differ across inhabitants of our study region. As a further insight into the sources for these variations, a hybrid choice model is employed in order to incorporate individuals׳ latent attitudes in the estimated model. Our latent class structure allocates individuals to classes according to underlying latent attitudes that also influence the answers to attitudinal questions. We show that these underlying attitudes are a function of a number of socio-demographic characteristics, with young people, men with low income and those living closer to turbines having a stronger pro-wind power generation attitude. The inclusion of the attitudes in the class allocation component of the latent class model leads to a richer picture of people׳s valuations, revealing, for example, antagonistic preferences of two distinct groups of respondents, i.e. advocates and opponents of wind power generation.

Suggested Citation

  • Mariel, Petr & Meyerhoff, Jürgen & Hess, Stephane, 2015. "Heterogeneous preferences toward landscape externalities of wind turbines – combining choices and attitudes in a hybrid model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 647-657.
  • Handle: RePEc:eee:rensus:v:41:y:2015:i:c:p:647-657
    DOI: 10.1016/j.rser.2014.08.074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032114007606
    Download Restriction: Full text for ScienceDirect subscribers only

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

    References listed on IDEAS

    as
    1. William Breffle & Edward Morey & Jennifer Thacher, 2011. "A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    2. Yoo, James & Ready, Richard C., 2014. "Preference heterogeneity for renewable energy technology," Energy Economics, Elsevier, vol. 42(C), pages 101-114.
    3. Glerum, Aurélie & Atasoy, Bilge & Bierlaire, Michel, 2014. "Using semi-open questions to integrate perceptions in choice models," Journal of choice modelling, Elsevier, vol. 10(C), pages 11-33.
    4. Kløjgaard, Mirja Elisabeth & Hess, Stephane, 2014. "Understanding the formation and influence of attitudes in patients' treatment choices for lower back pain: Testing the benefits of a hybrid choice model approach," Social Science & Medicine, Elsevier, vol. 114(C), pages 138-150.
    5. 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.
    6. Stephane Hess & Nesha Beharry-Borg, 2012. "Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(1), pages 109-131, May.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, April.
    8. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability," Econometrica, Econometric Society, vol. 73(4), pages 1367-1382, July.
    9. McNair, Ben J. & Bennett, Jeff & Hensher, David A. & Rose, John M., 2011. "Households' willingness to pay for overhead-to-underground conversion of electricity distribution networks," Energy Policy, Elsevier, vol. 39(5), pages 2560-2567, May.
    10. 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.
    11. Molnarova, Kristina & Sklenicka, Petr & Stiborek, Jiri & Svobodova, Kamila & Salek, Miroslav & Brabec, Elizabeth, 2012. "Visual preferences for wind turbines: Location, numbers and respondent characteristics," Applied Energy, Elsevier, vol. 92(C), pages 269-278.
    12. Hans-Ulrich Derlien & B. Guy Peters, 2008. "Introduction," Chapters,in: The State at Work, Volume 2, chapter 1 Edward Elgar Publishing.
    13. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    14. Ku, Se-Ju & Yoo, Seung-Hoon, 2010. "Willingness to pay for renewable energy investment in Korea: A choice experiment study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2196-2201, October.
    15. Milon, J. Walter & Scrogin, David, 2006. "Latent preferences and valuation of wetland ecosystem restoration," Ecological Economics, Elsevier, vol. 56(2), pages 162-175, February.
    16. Ojea, Elena & Loureiro, Maria L., 2007. "Altruistic, egoistic and biospheric values in willingness to pay (WTP) for wildlife," Ecological Economics, Elsevier, vol. 63(4), pages 807-814, September.
    17. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    18. Aravena, Claudia & Hutchinson, W. George & Longo, Alberto, 2012. "Environmental pricing of externalities from different sources of electricity generation in Chile," Energy Economics, Elsevier, vol. 34(4), pages 1214-1225.
    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. Goetzke, Frank & Rave, Tilmann, 2016. "Exploring heterogeneous growth of wind energy across Germany," Utilities Policy, Elsevier, vol. 41(C), pages 193-205.
    2. Huesca-Pérez, María Elena & Sheinbaum-Pardo, Claudia & Köppel, Johann, 2016. "Social implications of siting wind energy in a disadvantaged region – The case of the Isthmus of Tehuantepec, Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 952-965.
    3. 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.
    4. Sagebiel, Julian, 2017. "Preference heterogeneity in energy discrete choice experiments: A review on methods for model selection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 804-811.
    5. repec:eee:rensus:v:75:y:2017:i:c:p:354-367 is not listed on IDEAS
    6. repec:kap:transp:v:45:y:2018:i:3:d:10.1007_s11116-016-9751-1 is not listed on IDEAS
    7. repec:eee:eneeco:v:63:y:2017:i:c:p:253-260 is not listed on IDEAS
    8. Yazdanpanah, Mahdi & Hosseinlou, Mansour Hadji, 2016. "The influence of personality traits on airport public transport access mode choice: A hybrid latent class choice modeling approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 147-163.
    9. 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.
    10. Bello, Muhammad & Abdulai, Awudu, 2016. "Identification of consumer segments and market potentials for organic products in Nigeria: A Hybrid Latent Class approach," 2016 AAAE Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246965, African Association of Agricultural Economists (AAAE).
    11. Mattmann, Matteo & Logar, Ivana & Brouwer, Roy, 2016. "Wind power externalities: A meta-analysis," Ecological Economics, Elsevier, vol. 127(C), pages 23-36.

    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:rensus:v:41:y:2015:i:c:p:647-657. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.