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Public perception of new energy vehicles: Evidence from willingness to pay for new energy bus fares in China

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  • Tan, Ruipeng
  • Lin, Boqiang

Abstract

In order to promote the development of new energy buses more smoothly, a random survey of public perception on new energy vehicles and willingness to pay for new energy bus fares is conducted in four first-tier cities in China. We design two sets of questions in the survey and adopt a sample selection model to correct the possible sample selection bias in the estimation of willingness-to-pay for new energy fares. The results show that firstly in the zero willingness to pay samples, very few of them are with genuine zero, the others all being protest respondents. Second, the sample selection model indicates that the sample selection bias is positively significant in the estimation of willingness to pay. Third, income, people's knowledge about new energy vehicles, the degree of recognition of the role of new energy vehicle in improving urban air quality, and views on air quality influence willingness to pay more for new energy bus fares positively. We propose that pricing new energy bus fares higher is reasonable and more knowledge concerning new energy vehicles should be disseminated to the public.

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  • Tan, Ruipeng & Lin, Boqiang, 2019. "Public perception of new energy vehicles: Evidence from willingness to pay for new energy bus fares in China," Energy Policy, Elsevier, vol. 130(C), pages 347-354.
  • Handle: RePEc:eee:enepol:v:130:y:2019:i:c:p:347-354
    DOI: 10.1016/j.enpol.2019.04.010
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    References listed on IDEAS

    as
    1. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    2. Catenacci, Michela & Verdolini, Elena & Bosetti, Valentina & Fiorese, Giulia, 2013. "Going electric: Expert survey on the future of battery technologies for electric vehicles," Energy Policy, Elsevier, vol. 61(C), pages 403-413.
    3. Sun, Huaping & Geng, Yong & Hu, Lingxiang & Shi, Longyu & Xu, Tong, 2018. "Measuring China's new energy vehicle patents: A social network analysis approach," Energy, Elsevier, vol. 153(C), pages 685-693.
    4. Lin, Boqiang & Tan, Ruipeng, 2017. "Are people willing to pay more for new energy bus fares?," Energy, Elsevier, vol. 130(C), pages 365-372.
    5. Zhang, Lei & Qin, Quande, 2018. "China’s new energy vehicle policies: Evolution, comparison and recommendation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 57-72.
    6. Zhang, Xiang & Bai, Xue, 2017. "Incentive policies from 2006 to 2016 and new energy vehicle adoption in 2010–2020 in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 24-43.
    7. Bateman, Ian J. & Willis, Kenneth G. (ed.), 2001. "Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU , and developing Countries," OUP Catalogue, Oxford University Press, number 9780199248919.
    8. Lorna Philip & Douglas MacMillan, 2005. "Exploring Values, Context and Perceptions in Contingent Valuation Studies: The CV Market Stall Technique and Willingness to Pay for Wildlife Conservation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(2), pages 257-274.
    9. Lo, Alex Y. & Jim, C.Y., 2015. "Protest response and willingness to pay for culturally significant urban trees: Implications for Contingent Valuation Method," Ecological Economics, Elsevier, vol. 114(C), pages 58-66.
    10. Garcia, Serge & Harou, Patrice & Montagné, Claire & Stenger, Anne, 2009. "Models for sample selection bias in contingent valuation: Application to forest biodiversity," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 59-78, January.
    11. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    12. Tan, Ruipeng & Tang, Di & Lin, Boqiang, 2018. "Policy impact of new energy vehicles promotion on air quality in Chinese cities," Energy Policy, Elsevier, vol. 118(C), pages 33-40.
    13. Jorgensen, Bradley S. & Syme, Geoffrey J., 2000. "Protest responses and willingness to pay: attitude toward paying for stormwater pollution abatement," Ecological Economics, Elsevier, vol. 33(2), pages 251-265, May.
    14. Gass, V. & Schmidt, J. & Schmid, E., 2014. "Analysis of alternative policy instruments to promote electric vehicles in Austria," Renewable Energy, Elsevier, vol. 61(C), pages 96-101.
    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. Pasaoglu, Guzay & Zubaryeva, Alyona & Fiorello, Davide & Thiel, Christian, 2014. "Analysis of European mobility surveys and their potential to support studies on the impact of electric vehicles on energy and infrastructure needs in Europe," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 41-50.
    17. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    18. P. Calia & E. Strazzera, 1999. "A Sample Selection Model for Protest Non-Response Votes in Contingent Valuation Analyses," Working Paper CRENoS 199905, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Timothy Haab, 1999. "Nonparticipation or Misspecification? The Impacts of Nonparticipation on Dichotomous Choice Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(4), pages 443-461, December.
    20. Ma, Shao-Chao & Fan, Ying & Feng, Lianyong, 2017. "An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions," Energy Policy, Elsevier, vol. 110(C), pages 609-618.
    21. Yuan, Xueliang & Liu, Xin & Zuo, Jian, 2015. "The development of new energy vehicles for a sustainable future: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 298-305.
    22. Heidrich, Oliver & Hill, Graeme A. & Neaimeh, Myriam & Huebner, Yvonne & Blythe, Philip T. & Dawson, Richard J., 2017. "How do cities support electric vehicles and what difference does it make?," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 17-23.
    23. Klose, Thomas, 1999. "The contingent valuation method in health care," Health Policy, Elsevier, vol. 47(2), pages 97-123, May.
    24. 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.
    25. Morrissey, Karyn & Kinderman, Peter & Pontin, Eleanor & Tai, Sara & Schwannauer, Mathias, 2016. "Web based health surveys: Using a Two Step Heckman model to examine their potential for population health analysis," Social Science & Medicine, Elsevier, vol. 163(C), pages 45-53.
    26. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    27. Nawata, Kazumitsu, 1994. "Estimation of sample selection bias models by the maximum likelihood estimator and Heckman's two-step estimator," Economics Letters, Elsevier, vol. 45(1), pages 33-40, May.
    28. Mamouni Limnios, Elena & Schilizzi, Steven G.M. & Burton, Michael & Ong, Angeline & Hynes, Niki, 2016. "Willingness to pay for product ecological footprint: Organic vs non-organic consumers," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 338-348.
    29. Larson, Douglas M., 1992. "Further results on willingness to pay for nonmarket goods," Journal of Environmental Economics and Management, Elsevier, vol. 23(2), pages 101-122, September.
    30. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.
    31. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
    32. Liu, Zongwei & Hao, Han & Cheng, Xiang & Zhao, Fuquan, 2018. "Critical issues of energy efficient and new energy vehicles development in China," Energy Policy, Elsevier, vol. 115(C), pages 92-97.
    33. 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.
    34. Koto, Prosper Senyo & Yiridoe, Emmanuel K., 2019. "Expected willingness to pay for wind energy in Atlantic Canada," Energy Policy, Elsevier, vol. 129(C), pages 80-88.
    35. Shiau, Ching-Shin Norman & Samaras, Constantine & Hauffe, Richard & Michalek, Jeremy J., 2009. "Impact of battery weight and charging patterns on the economic and environmental benefits of plug-in hybrid vehicles," Energy Policy, Elsevier, vol. 37(7), pages 2653-2663, July.
    36. Junquera, Beatriz & Moreno, Blanca & Álvarez, Roberto, 2016. "Analyzing consumer attitudes towards electric vehicle purchasing intentions in Spain: Technological limitations and vehicle confidence," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 6-14.
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