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Which factors affect the willingness of consumers to adopt renewable energies?

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  • Sardianou, E.
  • Genoudi, P.

Abstract

This study presents insights into the determinants of consumers' willingness to adopt renewable energies in the residential sector. The empirical analysis is based on the estimation of binary probit regression models. Empirical results suggest that middle-aged and highly educated people are probably more willing to adopt renewable energy sources in their home. In general, income positively affects consumers' acceptance of renewable energy projects in the residential sector. However, the results suggest that marital status and gender are not statistically significant factors in the willingness to adopt renewable energies. A tax deduction is estimated to be the most effective financial policy measure to promote consumers' acceptance of renewable energies in the residential sector, more so than an energy subsidy. Our analysis is focused on intention because we expect that those people willing to adopt renewable energy sources in their residence are a potentially relevant market segment for the application of renewable energies.

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  • Sardianou, E. & Genoudi, P., 2013. "Which factors affect the willingness of consumers to adopt renewable energies?," Renewable Energy, Elsevier, vol. 57(C), pages 1-4.
    • Handle: RePEc:eee:renene:v:57:y:2013:i:c:p:1-4
    DOI: 10.1016/j.renene.2013.01.031
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    1. Sauter, Raphael & Watson, Jim, 2007. "Strategies for the deployment of micro-generation: Implications for social acceptance," Energy Policy, Elsevier, vol. 35(5), pages 2770-2779, May.
    2. Kaldellis, J. K., 2005. "Social attitude towards wind energy applications in Greece," Energy Policy, Elsevier, vol. 33(5), pages 595-602, March.
    3. 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.
    4. Mallett, Alexandra, 2007. "Social acceptance of renewable energy innovations: The role of technology cooperation in urban Mexico," Energy Policy, Elsevier, vol. 35(5), pages 2790-2798, May.
    5. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    6. 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.
    7. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    8. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    9. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    10. Zhai, Pei & Williams, Eric D., 2012. "Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model," Renewable Energy, Elsevier, vol. 41(C), pages 350-357.
    11. 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.
    12. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    13. Ek, Kristina, 2005. "Public and private attitudes towards "green" electricity: the case of Swedish wind power," Energy Policy, Elsevier, vol. 33(13), pages 1677-1689, September.
    14. Ek, Kristina & Söderholm, Patrik, 2010. "The devil is in the details: Household electricity saving behavior and the role of information," Energy Policy, Elsevier, vol. 38(3), pages 1578-1587, March.
    15. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    16. Reddy, Sudhakar & Painuly, J.P, 2004. "Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives," Renewable Energy, Elsevier, vol. 29(9), pages 1431-1447.
    17. Yuan, Xueliang & Zuo, Jian & Ma, Chunyuan, 2011. "Social acceptance of solar energy technologies in China--End users' perspective," Energy Policy, Elsevier, vol. 39(3), pages 1031-1036, March.
    18. 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.
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