IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/34408.html
   My bibliography  Save this paper

Italian consumers’ willingness to pay for renewable energy sources

Author

Listed:
  • Bigerna, Simona
  • Polinori, Paolo

Abstract

EU Directive 2009/72/CE imposes to the European Countries environmental and energy targets. The Italian goal is to attain a 17% share in electricity production from renewable energy sources (RES) by 2020. To make investment in renewables attractive, market prices must be profitable and the gap between the private and social costs of renewables must be filled using “persuasive” tools. The acceptance of such a burden may be controversial because it results in an increase in prices. It is interesting to estimate the consumer’s willingness to pay (WTP) for green electricity. We based our research on a national survey conducted in November 2007 in Italy. We used a stochastic payment card (SPC) including a “certainty correction” and proposing five degrees of acceptance. An empirical analysis shows that there is a substantial willingness among Italian consumers to partially cover the cost of achieving the RES goal.

Suggested Citation

  • Bigerna, Simona & Polinori, Paolo, 2011. "Italian consumers’ willingness to pay for renewable energy sources," MPRA Paper 34408, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:34408
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/34408/1/MPRA_paper_34408.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Christian A. Vossler & Robert G. Ethier & Gregory L. Poe & Michael P. Welsh, 2003. "Payment Certainty in Discrete Choice Contingent Valuation Responses: Results from a Field Validity Test," Southern Economic Journal, Southern Economic Association, vol. 69(4), pages 886-902, April.
    2. Meyer, Niels I., 2003. "European schemes for promoting renewables in liberalised markets," Energy Policy, Elsevier, vol. 31(7), pages 665-676, June.
    3. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    4. Maria Loureiro & John Loomis & Maria Vázquez, 2009. "Economic Valuation of Environmental Damages due to the Prestige Oil Spill in Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 537-553, December.
    5. Tanya O’Garra & Susana Mourato, 2007. "Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 389-411, April.
    6. Giles Atkinson & Andrew Healey & Susana Mourato, 2005. "Valuing the costs of violent crime: a stated preference approach," Oxford Economic Papers, Oxford University Press, vol. 57(4), pages 559-585, October.
    7. Rowe, Robert D. & Schulze, William D. & Breffle, William S., 1996. "A Test for Payment Card Biases," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 178-185, September.
    8. Bulte, Erwin & Gerking, Shelby & List, John A. & de Zeeuw, Aart, 2005. "The effect of varying the causes of environmental problems on stated WTP values: evidence from a field study," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 330-342, March.
    9. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
    10. Simona Bigerna & Paolo Polinori, 2008. "The willingness to pay for Renewable Energy Sources (RES): the case of Italy with different survey approaches and under different EU “climate vision”. First results," Quaderni del Dipartimento di Economia, Finanza e Statistica 58/2008, Università di Perugia, Dipartimento Economia.
    11. Hyacinth Ichoku & William Fonta & Abbi Kedir, 2009. "Measuring individuals’ valuation distributions using a stochastic payment card approach: application to solid waste management in Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(3), pages 509-521, June.
    12. 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.
    13. Wang, Hua, 1997. "Treatment of "Don't-Know" Responses in Contingent Valuation Surveys: A Random Valuation Model," Journal of Environmental Economics and Management, Elsevier, vol. 32(2), pages 219-232, February.
    14. Batley, S. L. & Colbourne, D. & Fleming, P. D. & Urwin, P., 2001. "Citizen versus consumer: challenges in the UK green power market," Energy Policy, Elsevier, vol. 29(6), pages 479-487, May.
    15. 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.
    16. Cameron, Trudy Ann & Huppert, Daniel D., 1989. "OLS versus ML estimation of non-market resource values with payment card interval data," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 230-246, November.
    17. Samnaliev, Mihail & Stevens, Thomas H. & More, Thomas, 2006. "A comparison of alternative certainty calibration techniques in contingent valuation," Ecological Economics, Elsevier, vol. 57(3), pages 507-519, May.
    18. Wang, Hua & Whittington, Dale, 2005. "Measuring individuals' valuation distributions using a stochastic payment card approach," Ecological Economics, Elsevier, vol. 55(2), pages 143-154, November.
    19. 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.
    20. 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.
    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. Taale, Francis & Kyeremeh, Christian, 2015. "Households' willingness to pay for reliable electricity services in Ghana," MPRA Paper 65780, University Library of Munich, Germany.
    2. Herbes, Carsten & Friege, Christian & Baldo, Davide & Mueller, Kai-Markus, 2015. "Willingness to pay lip service? Applying a neuroscience-based method to WTP for green electricity," Energy Policy, Elsevier, vol. 87(C), pages 562-572.
    3. Ladenburg, Jacob, 2014. "Dynamic properties of the preferences for renewable energy sources – A wind power experience-based approach," Energy, Elsevier, vol. 76(C), pages 542-551.
    4. repec:fan:efeefe:v:html10.3280/efe2017-001013 is not listed on IDEAS
    5. Taale, Francis & Kyeremeh, Christian, 2016. "Households׳ willingness to pay for reliable electricity services in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 280-288.
    6. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
    7. Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
    8. Shin, Jungwoo & Woo, JongRoul & Huh, Sung-Yoon & Lee, Jongsu & Jeong, Gicheol, 2014. "Analyzing public preferences and increasing acceptability for the Renewable Portfolio Standard in Korea," Energy Economics, Elsevier, vol. 42(C), pages 17-26.
    9. Langer, Katharina & Decker, Thomas & Roosen, Jutta & Menrad, Klaus, 2016. "A qualitative analysis to understand the acceptance of wind energy in Bavaria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 248-259.
    10. Pierre-Alexandre Mahieu & Pere Riera & Bengt Kriström & Runar Brännlund & Marek Giergiczny, 2014. "Exploring the determinants of uncertainty in contingent valuation surveys," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(2), pages 186-200, July.

    More about this item

    Keywords

    contingent valuation; interval data; stochastic payment card; renewable energy sources;

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

    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:pra:mprapa:34408. 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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.