IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Dynamic properties of the preferences for renewable energy sources – A wind power experience-based approach

Listed author(s):
  • Ladenburg, Jacob

Based on a Danish survey including respondents with on-shore viewshed experience and varying degrees of off-shore viewshed experience, it is estimated how the different types of wind power experience influence the preferences for wind power, biomass energy and solar energy development in Denmark. The preference relations indicate that on-shore viewshed experience reduces preferences for wind power by 6% and increases preferences for biomass and solar energy solutions relative to wind power by nearly 5%. In contrast, off-shore viewshed experience increases preferences for wind power relative to biomass energy by 24%. However, the effect is dependent on the type of off-shore wind farm experience. Thus, experience of near-shore wind farms can reduce the preferences for wind power. The results also suggest that wind turbines in the viewshed influence the relative preferences between solar energy and biomass energy.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0360544214009864
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Energy.

Volume (Year): 76 (2014)
Issue (Month): C ()
Pages: 542-551

as
in new window

Handle: RePEc:eee:energy:v:76:y:2014:i:c:p:542-551
DOI: 10.1016/j.energy.2014.08.050
Contact details of provider: Web page: http://www.journals.elsevier.com/energy

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
  2. Ladenburg, Jacob, 2009. "Visual impact assessment of offshore wind farms and prior experience," Applied Energy, Elsevier, vol. 86(3), pages 380-387, March.
  3. Ladenburg, Jacob & Möller, Bernd, 2011. "Attitude and acceptance of offshore wind farms—The influence of travel time and wind farm attributes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4223-4235.
  4. Kontogianni, Areti & Tourkolias, Christos & Skourtos, Michalis, 2013. "Renewables portfolio, individual preferences and social values towards RES technologies," Energy Policy, Elsevier, vol. 55(C), pages 467-476.
  5. Mai, Trieu & Mulcahy, David & Hand, M. Maureen & Baldwin, Samuel F., 2014. "Envisioning a renewable electricity future for the United States," Energy, Elsevier, vol. 65(C), pages 374-386.
  6. Roe, Brian & Teisl, Mario F. & Levy, Alan & Russell, Matthew, 2001. "US consumers' willingness to pay for green electricity," Energy Policy, Elsevier, vol. 29(11), pages 917-925, September.
  7. Cosentino, Valentina & Favuzza, Salvatore & Graditi, Giorgio & Ippolito, Mariano Giuseppe & Massaro, Fabio & Riva Sanseverino, Eleonora & Zizzo, Gaetano, 2012. "Smart renewable generation for an islanded system. Technical and economic issues of future scenarios," Energy, Elsevier, vol. 39(1), pages 196-204.
  8. Abbie McCartney, 2006. "The Social Value of Seascapes in the Jurien Bay Marine Park: An Assessment of Positive and Negative Preferences for Change," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(3), pages 577-594.
  9. Roy Brouwer & Julia Martin-Ortega & RJulio Berbel, 2010. "Spatial Preference Heterogeneity: A Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(3).
  10. Garcia, Humberto E. & Mohanty, Amit & Lin, Wen-Chiao & Cherry, Robert S., 2013. "Dynamic analysis of hybrid energy systems under flexible operation and variable renewable generation – Part II: Dynamic cost analysis," Energy, Elsevier, vol. 52(C), pages 17-26.
  11. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
  12. Dimitropoulos, Alexandros & Kontoleon, Andreas, 2009. "Assessing the determinants of local acceptability of wind-farm investment: A choice experiment in the Greek Aegean Islands," Energy Policy, Elsevier, vol. 37(5), pages 1842-1854, May.
  13. Welsch, Heinz & Kühling, Jan, 2009. "Determinants of pro-environmental consumption: The role of reference groups and routine behavior," Ecological Economics, Elsevier, vol. 69(1), pages 166-176, November.
  14. Pate, Jennifer & Loomis, John, 1997. "The effect of distance on willingness to pay values: a case study of wetlands and salmon in California," Ecological Economics, Elsevier, vol. 20(3), pages 199-207, March.
  15. 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.
  16. Jørgensen, Sisse Liv & Olsen, Søren Bøye & Ladenburg, Jacob & Martinsen, Louise & Svenningsen, Stig Roar & Hasler, Berit, 2013. "Spatially induced disparities in users' and non-users' WTP for water quality improvements—Testing the effect of multiple substitutes and distance decay," Ecological Economics, Elsevier, vol. 92(C), pages 58-66.
  17. Garcia, Humberto E. & Mohanty, Amit & Lin, Wen-Chiao & Cherry, Robert S., 2013. "Dynamic analysis of hybrid energy systems under flexible operation and variable renewable generation – Part I: Dynamic performance analysis," Energy, Elsevier, vol. 52(C), pages 1-16.
  18. Rebecca Moore & Bill Provencher & Richard C. Bishop, 2011. "Valuing a Spatially Variable Environmental Resource: Reducing Non-Point-Source Pollution in Green Bay, Wisconsin," Land Economics, University of Wisconsin Press, vol. 87(1), pages 45-59.
  19. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
  20. Hansla, Andre & Gamble, Amelie & Juliusson, Asgeir & Garling, Tommy, 2008. "Psychological determinants of attitude towards and willingness to pay for green electricity," Energy Policy, Elsevier, vol. 36(2), pages 768-774, February.
  21. 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.
  22. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
  23. Woersdorfer, Julia Sophie & Kaus, Wolfhard, 2011. "Will nonowners follow pioneer consumers in the adoption of solar thermal systems? Empirical evidence for northwestern Germany," Ecological Economics, Elsevier, vol. 70(12), pages 2282-2291.
  24. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
  25. Wiser, Ryan H., 2007. "Using contingent valuation to explore willingness to pay for renewable energy: A comparison of collective and voluntary payment vehicles," Ecological Economics, Elsevier, vol. 62(3-4), pages 419-432, May.
  26. 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.
  27. 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.
  28. Susaeta, Andres & Lal, Pankaj & Alavalapati, Janaki & Mercer, Evan, 2011. "Random preferences towards bioenergy environmental externalities: A case study of woody biomass based electricity in the Southern United States," Energy Economics, Elsevier, vol. 33(6), pages 1111-1118.
  29. Hanley, Nick & Nevin, Ceara, 1999. "Appraising renewable energy developments in remote communities: the case of the North Assynt Estate, Scotland," Energy Policy, Elsevier, vol. 27(9), pages 527-547, September.
  30. Carlo Andrea Bollino, 2009. "The Willingness to Pay for Renewable Energy Sources: The Case of Italy with Socio-demographic Determinants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 81-96.
  31. Jones, Christopher R. & Richard Eiser, J., 2010. "Understanding 'local' opposition to wind development in the UK: How big is a backyard?," Energy Policy, Elsevier, vol. 38(6), pages 3106-3117, June.
  32. Cicia, Gianni & Cembalo, Luigi & Del Giudice, Teresa & Palladino, Andrea, 2012. "Fossil energy versus nuclear, wind, solar and agricultural biomass: Insights from an Italian national survey," Energy Policy, Elsevier, vol. 42(C), pages 59-66.
  33. Lim, Kyoung-Min & Lim, Seul-Ye & Yoo, Seung-Hoon, 2014. "Estimating the economic value of residential electricity use in the Republic of Korea using contingent valuation," Energy, Elsevier, vol. 64(C), pages 601-606.
  34. Hong, Sanghyun & Bradshaw, Corey J.A. & Brook, Barry W., 2013. "Evaluating options for sustainable energy mixes in South Korea using scenario analysis," Energy, Elsevier, vol. 52(C), pages 237-244.
  35. Solomon, Barry D. & Johnson, Nicholas H., 2009. "Valuing climate protection through willingness to pay for biomass ethanol," Ecological Economics, Elsevier, vol. 68(7), pages 2137-2144, May.
  36. Komarek, Timothy M. & Lupi, Frank & Kaplowitz, Michael D., 2011. "Valuing energy policy attributes for environmental management: Choice experiment evidence from a research institution," Energy Policy, Elsevier, vol. 39(9), pages 5105-5115, September.
  37. Zografakis, Nikolaos & Sifaki, Elli & Pagalou, Maria & Nikitaki, Georgia & Psarakis, Vasilios & Tsagarakis, Konstantinos P., 2010. "Assessment of public acceptance and willingness to pay for renewable energy sources in Crete," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1088-1095, April.
  38. Bergmann, Ariel & Colombo, Sergio & Hanley, Nick, 2008. "Rural versus urban preferences for renewable energy developments," Ecological Economics, Elsevier, vol. 65(3), pages 616-625, April.
  39. Soliño, Mario & Vázquez, María X. & Prada, Albino, 2009. "Social demand for electricity from forest biomass in Spain: Does payment periodicity affect the willingness to pay?," Energy Policy, Elsevier, vol. 37(2), pages 531-540, February.
  40. Menegaki, Angeliki, 2008. "Valuation for renewable energy: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2422-2437, December.
  41. Ladenburg, Jacob, 2008. "Attitudes towards on-land and offshore wind power development in Denmark; choice of development strategy," Renewable Energy, Elsevier, vol. 33(1), pages 111-118.
  42. Yoo, Seung-Hoon & Kwak, So-Yoon, 2009. "Willingness to pay for green electricity in Korea: A contingent valuation study," Energy Policy, Elsevier, vol. 37(12), pages 5408-5416, December.
  43. Bigerna, Simona & Polinori, Paolo, 2011. "Italian consumers’ willingness to pay for renewable energy sources," MPRA Paper 34408, University Library of Munich, Germany.
  44. 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.
  45. 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.
  46. Kristina, Ek & Persson, Lars, 2012. "Wind Farms – Where and how to put them?," Umeå Economic Studies 854, Umeå University, Department of Economics.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:76:y:2014:i:c:p:542-551. 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)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.