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Identifying the factors affecting the willingness to pay for fuel-efficient vehicles in Turkey: A case of hybrids

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Listed author(s):
  • Erdem, Cumhur
  • Sentürk, Ismail
  • Simsek, Türker

Abstract

This paper aims to determine the factors that have an impact on the consumers' willingness to pay a premium for hybrid automobiles in Turkey. A web-based random survey was conducted in different regions of Turkey. A questionnaire was administered to 1983 participants in January-March of 2009. The questionnaire was prepared by taking the issues raised in various sources into account. An ordered Probit model was used to meet the objective. Results show that variables such as income, gender, education, concerns about global warming, number of automobiles, importance of automobile performance, risk preference, attitude toward the alternative energy sources have an impact on the consumers' willingness to pay a premium for hybrids. Findings suggest that consumers who have high income, higher educational level, and concerns about the global warming are more likely to pay a premium for hybrids. This study is expected to make important contributions to the current literature related to the consumers' willingness to pay for hybrids by providing a research study from a developing country's perspective. Results of this study also make important contributions to the policy and decision makers, environmental groups and automotive industry.

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File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00071-6
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Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 38 (2010)
Issue (Month): 6 (June)
Pages: 3038-3043

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Handle: RePEc:eee:enepol:v:38:y:2010:i:6:p:3038-3043
Contact details of provider: Web page: http://www.elsevier.com/locate/enpol

Keywords: Hybrids WTP Consumers;

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  1. Ockwell, David G. & Watson, Jim & MacKerron, Gordon & Pal, Prosanto & Yamin, Farhana, 2008. "Key policy considerations for facilitating low carbon technology transfer to developing countries," Energy Policy, Elsevier, vol. 36(11), pages 4104-4115, November.
  2. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489.
  3. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
  4. Mourato, Susana & Saynor, Bob & Hart, David, 2004. "Greening London's black cabs: a study of driver's preferences for fuel cell taxis," Energy Policy, Elsevier, vol. 32(5), pages 685-695, March.
  5. Kahn, Matthew E., 2007. "Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 129-145, September.
  6. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
  7. O'Garra, Tanya & Mourato, Susana & Garrity, Lisa & Schmidt, Patrick & Beerenwinkel, Anne & Altmann, Matthias & Hart, David & Graesel, Cornelia & Whitehouse, Simon, 2007. "Is the public willing to pay for hydrogen buses? A comparative study of preferences in four cities," Energy Policy, Elsevier, vol. 35(7), pages 3630-3642, July.
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Cited by:

  1. Mukherjee, Deep & Rahman, Mohammad Arshad, 2016. "To drill or not to drill? An econometric analysis of US public opinion," Energy Policy, Elsevier, vol. 91(C), pages 341-351.
  2. Qiu, Yueming & Colson, Gregory & Grebitus, Carola, 2014. "Risk preferences and purchase of energy-efficient technologies in the residential sector," Ecological Economics, Elsevier, vol. 107(C), pages 216-229.
  3. Fan, Jin & He, Haonan & Wu, Yanrui, 2016. "Personal carbon trading and subsidies for hybrid electric vehicles," Economic Modelling, Elsevier, vol. 59(C), pages 164-173.
  4. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
  5. Chorus, Caspar G. & Koetse, Mark J. & Hoen, Anco, 2013. "Consumer preferences for alternative fuel vehicles: Comparing a utility maximization and a regret minimization model," Energy Policy, Elsevier, vol. 61(C), pages 901-908.
  6. Milan Scasny & Milan Scasny & Iva Zverinova & Mikolaj Czajkowski, 2015. "Individual preference for the alternative fuel vehicles and their attributes in Poland," EcoMod2015 8575, EcoMod.
  7. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
  8. Soora Rasouli & Harry Timmermans, 2016. "Influence of Social Networks on Latent Choice of Electric Cars: A Mixed Logit Specification Using Experimental Design Data," Networks and Spatial Economics, Springer, vol. 16(1), pages 99-130, March.
  9. She, Zhen-Yu & Qing Sun, & Ma, Jia-Jun & Xie, Bai-Chen, 2017. "What are the barriers to widespread adoption of battery electric vehicles? A survey of public perception in Tianjin, China," Transport Policy, Elsevier, vol. 56(C), pages 29-40.
  10. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
  11. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
  12. Byun, Hyunsuk & Lee, Chul-Yong, 2017. "Analyzing Korean consumers’ latent preferences for electricity generation sources with a hierarchical Bayesian logit model in a discrete choice experiment," Energy Policy, Elsevier, vol. 105(C), pages 294-302.
  13. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
  14. repec:spr:nathaz:v:87:y:2017:i:2:d:10.1007_s11069-017-2803-9 is not listed on IDEAS
  15. Zhang Jingchao & Koji Kotani & Tatsuyoshi Saijo, 2017. "Public acceptance of environmentally friendly electric heating in rural Beijing," Working Papers SDES-2017-2, Kochi University of Technology, School of Economics and Management, revised May 2017.
  16. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
  17. Arega, Tiruwork & Tadesse, Tewodros, 2017. "Household willingness to pay for green electricity in urban and peri-urban Tigray, northern Ethiopia: Determinants and welfare effects," Energy Policy, Elsevier, vol. 100(C), pages 292-300.
  18. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
  19. Lin, Boqiang & Tan, Ruipeng, 2017. "Estimation of the environmental values of electric vehicles in Chinese cities," Energy Policy, Elsevier, vol. 104(C), pages 221-229.
  20. Saarenpää, Jukka & Kolehmainen, Mikko & Niska, Harri, 2013. "Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption," Applied Energy, Elsevier, vol. 107(C), pages 456-464.

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