[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/euv/dpaper/007.html
   My bibliography  Save this paper

The effect of feed-in tariffs on the production cost and the landscape externalities of wind power generation in West Saxony, Germany

Author

Listed:
  • Martin Drechsler
  • Jürgen Meyerhoff
  • Cornelia Ohl

    (Faculty of Business Administration and Economics, European University Viadrina, Frankfurt (Oder))

Abstract
Although wind power is currently the most efficient source of renewable energy, the cost of wind electricity still exceeds the market price. Subsidies in the form of feed-in tariffs (FIT) have been introduced in many countries to support the expansion of wind power. These tariffs are highly debated. Proponents say they are necessary to pave the way for decarbonising energy production. Opponents argue they prevent a welfare-optimal energy supply. Thus, in a case study we try to shed light on the welfare economic aspect of FIT by combining spatial modelling and economic valuation of landscape externalities of wind turbines. We show for the planning region West Saxony, Germany, that setting FIT in a welfare optimal manner is a challenging task. If set too high the production costs are overly increased, lowering social welfare. If set too low energy production targets may not be reached and/or external costs are overly increased, again lowering social welfare. Taking a closer look at the tariffs offered by the German Renewable Sources Energy Act we find for West Saxony that the tariffs quite well meet economic welfare considerations. One should note, however, that this finding might apply only to the present data set.

Suggested Citation

  • Martin Drechsler & Jürgen Meyerhoff & Cornelia Ohl, 2012. "The effect of feed-in tariffs on the production cost and the landscape externalities of wind power generation in West Saxony, Germany," Discussion Paper Series RECAP15 007, RECAP15, European University Viadrina, Frankfurt (Oder).
    • Handle: RePEc:euv:dpaper:007
    as

    Download full text from publisher

    File URL: https://www.europa-uni.de/de/forschung/institut/recap15/downloads/recap15_DP007.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ayoub, Nasser & Yuji, Naka, 2012. "Governmental intervention approaches to promote renewable energies—Special emphasis on Japanese feed-in tariff," Energy Policy, Elsevier, vol. 43(C), pages 191-201.
    2. Moran, Dominic & Sherrington, Chris, 2007. "An economic assessment of windfarm power generation in Scotland including externalities," Energy Policy, Elsevier, vol. 35(5), pages 2811-2825, May.
    3. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    4. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    5. Mabee, Warren E. & Mannion, Justine & Carpenter, Tom, 2012. "Comparing the feed-in tariff incentives for renewable electricity in Ontario and Germany," Energy Policy, Elsevier, vol. 40(C), pages 480-489.
    6. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    7. del Ri­o González, Pablo, 2008. "Ten years of renewable electricity policies in Spain: An analysis of successive feed-in tariff reforms," Energy Policy, Elsevier, vol. 36(8), pages 2907-2919, August.
    8. Delzeit, Ruth & Britz, Wolfgang & Holm-Müller, Karin, 2011. "Modelling regional input markets with numerous processing plants: The case of green maize for biogas production in Germany," Discussion Papers 162892, University of Bonn, Institute for Food and Resource Economics.
    9. Saidur, R. & Islam, M.R. & Rahim, N.A. & Solangi, K.H., 2010. "A review on global wind energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1744-1762, September.
    10. del Rio, Pablo & Gual, Miguel A., 2007. "An integrated assessment of the feed-in tariff system in Spain," Energy Policy, Elsevier, vol. 35(2), pages 994-1012, February.
    11. Alvarez-Farizo, Begona & Hanley, Nick, 2002. "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain," Energy Policy, Elsevier, vol. 30(2), pages 107-116, January.
    12. Dong, C.G., 2012. "Feed-in tariff vs. renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development," Energy Policy, Elsevier, vol. 42(C), pages 476-485.
    13. del Río, Pablo & Calvo Silvosa, Anxo & Iglesias Gómez, Guillermo, 2011. "Policies and design elements for the repowering of wind farms: A qualitative analysis of different options," Energy Policy, Elsevier, vol. 39(4), pages 1897-1908, April.
    14. Bull, Pierre & Long, Noah & Steger, Cai, 2011. "Designing Feed-in Tariff Policies to Scale Clean Distributed Generation in the U.S," The Electricity Journal, Elsevier, vol. 24(3), pages 52-58, April.
    15. Möller, Bernd, 2006. "Changing wind-power landscapes: regional assessment of visual impact on land use and population in Northern Jutland, Denmark," Applied Energy, Elsevier, vol. 83(5), pages 477-494, May.
    16. Lesser, Jonathan A. & Su, Xuejuan, 2008. "Design of an economically efficient feed-in tariff structure for renewable energy development," Energy Policy, Elsevier, vol. 36(3), pages 981-990, March.
    17. Meyerhoff, Jürgen & Ohl, Cornelia & Hartje, Volkmar, 2010. "Landscape externalities from onshore wind power," Energy Policy, Elsevier, vol. 38(1), pages 82-92, January.
    18. Drechsler, Martin & Ohl, Cornelia & Meyerhoff, Jürgen & Eichhorn, Marcus & Monsees, Jan, 2011. "Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines," Energy Policy, Elsevier, vol. 39(6), pages 3845-3854, June.
    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. 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.
    2. Patrizio, P. & Leduc, S. & Chinese, D. & Kraxner, F., 2017. "Internalizing the external costs of biogas supply chains in the Italian energy sector," Energy, Elsevier, vol. 125(C), pages 85-96.
    3. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Liu, G.Q., 2016. "Optimal feed-in tariff for solar photovoltaic power generation in China: A real options analysis," Energy Policy, Elsevier, vol. 97(C), pages 181-192.
    4. Patrice Bougette & Christophe Charlier, 2018. "Antidumping and Feed-In Tariffs as Good Buddies? Modeling the EU-China Solar Panel Dispute," The Energy Journal, , vol. 39(6), pages 171-188, November.
    5. Buckman, Greg & Sibley, Jon & Bourne, Richard, 2014. "The large-scale solar feed-in tariff reverse auction in the Australian Capital Territory, Australia," Energy Policy, Elsevier, vol. 72(C), pages 14-22.
    6. Lu, Yuehong & Zhang, Xiao-Ping & Huang, Zhijia & Lu, Jinli & Wang, Dong, 2019. "Impact of introducing penalty-cost on optimal design of renewable energy systems for net zero energy buildings," Applied Energy, Elsevier, vol. 235(C), pages 106-116.
    7. Nordensvärd, Johan & Urban, Frauke, 2015. "The stuttering energy transition in Germany: Wind energy policy and feed-in tariff lock-in," Energy Policy, Elsevier, vol. 82(C), pages 156-165.
    8. Shen, Neng & Deng, Rumeng & Liao, Haolan & Shevchuk, Oleksandr, 2020. "Mapping renewable energy subsidy policy research published from 1997 to 2018: A scientometric review," Utilities Policy, Elsevier, vol. 64(C).

    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. Martin, Nigel J. & Rice, John L., 2017. "Examining the use of concept analysis and mapping software for renewable energy feed-in tariff design," Renewable Energy, Elsevier, vol. 113(C), pages 211-220.
    2. Aquila, Giancarlo & Pamplona, Edson de Oliveira & Queiroz, Anderson Rodrigo de & Rotela Junior, Paulo & Fonseca, Marcelo Nunes, 2017. "An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1090-1098.
    3. Shen, Neng & Deng, Rumeng & Liao, Haolan & Shevchuk, Oleksandr, 2020. "Mapping renewable energy subsidy policy research published from 1997 to 2018: A scientometric review," Utilities Policy, Elsevier, vol. 64(C).
    4. Martin, Nigel & Rice, John, 2013. "The solar photovoltaic feed-in tariff scheme in New South Wales, Australia," Energy Policy, Elsevier, vol. 61(C), pages 697-706.
    5. Jenner, Steffen & Groba, Felix & Indvik, Joe, 2013. "Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries," Energy Policy, Elsevier, vol. 52(C), pages 385-401.
    6. Youhyun Lee & Inseok Seo, 2019. "Sustainability of a Policy Instrument: Rethinking the Renewable Portfolio Standard in South Korea," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
    7. Li, Jinke & Liu, Guy & Shao, Jing, 2020. "Understanding the ROC transfer payment in the renewable obligation with the recycling mechanism in the United Kingdom," Energy Economics, Elsevier, vol. 87(C).
    8. Anders Dugstad & Kristine Grimsrud & Gorm Kipperberg & Henrik Lindhjem & Ståle Navrud, 2020. "Scope elasticity and economic significance in discrete choice experiments," Discussion Papers 942, Statistics Norway, Research Department.
    9. Drechsler, Martin & Ohl, Cornelia & Meyerhoff, Jürgen & Eichhorn, Marcus & Monsees, Jan, 2011. "Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines," Energy Policy, Elsevier, vol. 39(6), pages 3845-3854, June.
    10. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    11. Krajacic, Goran & Duic, Neven & Tsikalakis, Antonis & Zoulias, Manos & Caralis, George & Panteri, Eirini & Carvalho, Maria da Graça, 2011. "Feed-in tariffs for promotion of energy storage technologies," Energy Policy, Elsevier, vol. 39(3), pages 1410-1425, March.
    12. Buckman, Greg & Sibley, Jon & Ward, Megan, 2019. "The large-scale feed-in tariff reverse auction scheme in the Australian Capital Territory 2012, to 2016," Renewable Energy, Elsevier, vol. 132(C), pages 176-185.
    13. Anders Dugstad & Kristine M. Grimsrud & Gorm Kipperberg & Henrik Lindhjem & Ståle Navrud, 2021. "Scope Elasticity of Willingness to pay in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(1), pages 21-57, September.
    14. Felix Groba & Barbara Breitschopf, 2013. "Impact of Renewable Energy Policy and Use on Innovation: A Literature Review," Discussion Papers of DIW Berlin 1318, DIW Berlin, German Institute for Economic Research.
    15. Sagebiel, Julian & Müller, Jakob R. & Rommel, Jens, 2013. "Are Consumers Willing to Pay More for Electricity from Cooperatives? Results from an Online Choice Experiment in Germany," MPRA Paper 52385, University Library of Munich, Germany.
    16. Nicolini, Marcella & Tavoni, Massimo, 2017. "Are renewable energy subsidies effective? Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 412-423.
    17. Krekel, Christian & Zerrahn, Alexander, 2017. "Does the presence of wind turbines have negative externalities for people in their surroundings? Evidence from well-being data," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 221-238.
    18. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
    19. Walker, S.L., 2012. "Can the GB feed-in tariff deliver the expected 2% of electricity from renewable sources?," Renewable Energy, Elsevier, vol. 43(C), pages 383-388.
    20. 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).

    More about this item

    Keywords

    feed-in tariff; spatial allocation; wind power;
    All these keywords.

    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:euv:dpaper:007. 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: Dekanat (email available below). General contact details of provider: https://edirc.repec.org/data/fwffode.html .

    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.