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Willingness to Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles

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  • Yoo, Sunbin
  • Kumagai, Junya
  • Kawabata, Yuta
  • Keeley, Alexander
  • Managi, Shunsuke

Abstract

We seek to understand whether environmental concerns, fears of potential accidents, and merits regarding fully autonomous vehicles (FAVs) are motivators of willingness to buy (WTB) and willingness to pay (WTP) of FAVs. To do so, a large-scale survey on FAVs of more than 180,000 respondents was collected in Japan, and structural equation modeling (SEM) validated our findings. Interestingly, this study implicates a form of WTB-WTP disparity: those interested in natural environment conservation would purchase FAVs because they show high interest in overall social problems, and new technologies such as FAVs can resolve such problems, according to previous works. However, our result implies that they would not show high WTP because adopting FAVs does not `directly' contribute to natural environment conservation. Additionally, our results indicate that those who appreciate potential merits would have higher WTB and WTP, while those who fear FAV technology would not purchase FAVs and would have lower WTP. The results bear crucial policy implications for planners by showing the complexity between the factors of FAV WTB and WTP.

Suggested Citation

  • Yoo, Sunbin & Kumagai, Junya & Kawabata, Yuta & Keeley, Alexander & Managi, Shunsuke, 2021. "Willingness to Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles," MPRA Paper 108882, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:108882
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    as
    1. Zawojska, Ewa & Bartczak, Anna & Czajkowski, Mikołaj, 2019. "Disentangling the effects of policy and payment consequentiality and risk attitudes on stated preferences," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 63-84.
    2. Uchida, Hirotsugu & Onozaka, Yuko & Morita, Tamaki & Managi, Shunsuke, 2014. "Demand for ecolabeled seafood in the Japanese market: A conjoint analysis of the impact of information and interaction with other labels," Food Policy, Elsevier, vol. 44(C), pages 68-76.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    5. Zhao, Yan & Guo, Xiaolei & Liu, Henry X., 2021. "The impact of autonomous vehicles on commute ridesharing with uncertain work end time," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 221-248.
    6. Cherchi, Elisabetta, 2017. "A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 88-104.
    7. Jain, Manisha & Rao, Anand B. & Patwardhan, Anand, 2018. "Appliance labeling and consumer heterogeneity: A discrete choice experiment in India," Applied Energy, Elsevier, vol. 226(C), pages 213-224.
    8. Shladover, Steven E. & Nowakowski, Christopher, 2019. "Regulatory challenges for road vehicle automation: Lessons from the California experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 125-133.
    9. Daziano, Ricardo A. & Sarrias, Mauricio & Leard, Benjamin, 2016. "Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles," RFF Working Paper Series dp-16-35, Resources for the Future.
    10. Xu, Xian & Fan, Chiang-Ku, 2019. "Autonomous vehicles, risk perceptions and insurance demand: An individual survey in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 549-556.
    11. Zhang, Cheng & Yang, Fan & Ke, Xinyou & Liu, Zhifeng & Yuan, Chris, 2019. "Predictive modeling of energy consumption and greenhouse gas emissions from autonomous electric vehicle operations," Applied Energy, Elsevier, vol. 254(C).
    12. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    13. Mordue, Greig & Yeung, Anders & Wu, Fan, 2020. "The looming challenges of regulating high level autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 174-187.
    14. Kowalska-Pyzalska, Anna, 2018. "What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3570-3581.
    15. Adnan, Nadia & Md Nordin, Shahrina & bin Bahruddin, Mohamad Ariff & Ali, Murad, 2018. "How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 819-836.
    16. Bansal, Prateek & Kockelman, Kara M., 2017. "Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 49-63.
    17. Loureiro, Maria L. & Lotade, Justus, 2005. "Do fair trade and eco-labels in coffee wake up the consumer conscience?," Ecological Economics, Elsevier, vol. 53(1), pages 129-138, April.
    18. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
    19. Abe, Ryosuke, 2019. "Introducing autonomous buses and taxis: Quantifying the potential benefits in Japanese transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 94-113.
    20. Li, Shunxi & Sui, Pang-Chieh & Xiao, Jinsheng & Chahine, Richard, 2019. "Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 573-586.
    21. Motoaki, Yutaka & Daziano, Ricardo A., 2015. "A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 217-230.
    22. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    23. Greenwald, Judith M. & Kornhauser, Alain, 2019. "It’s up to us: Policies to improve climate outcomes from automated vehicles," Energy Policy, Elsevier, vol. 127(C), pages 445-451.
    24. Brouhle, Keith & Khanna, Madhu, 2012. "Determinants of participation versus consumption in the Nordic Swan eco-labeled market," Ecological Economics, Elsevier, vol. 73(C), pages 142-151.
    25. Raj, Alok & Kumar, J. Ajith & Bansal, Prateek, 2020. "A multicriteria decision making approach to study barriers to the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 122-137.
    26. Rey, David & Levin, Michael W., 2019. "Blue phase: Optimal network traffic control for legacy and autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 105-129.
    27. Anania, Emily C. & Rice, Stephen & Walters, Nathan W. & Pierce, Matthew & Winter, Scott R. & Milner, Mattie N., 2018. "The effects of positive and negative information on consumers’ willingness to ride in a driverless vehicle," Transport Policy, Elsevier, vol. 72(C), pages 218-224.
    28. Álvaro Fernández-Heredia & Sergio Jara-Díaz & Andrés Monzón, 2016. "Modelling bicycle use intention: the role of perceptions," Transportation, Springer, vol. 43(1), pages 1-23, January.
    29. Gina Waterfield & Scott Kaplan & David Zilberman, 2020. "Willingness to Pay versus Willingness to Vote: Consumer and Voter Avoidance of Genetically Modified Foods," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 505-524, March.
    30. Kong Joo SHIN & MANAGI Shunsuke, 2017. "Consumer Demand for Fully Automated Driving Technology: Evidence from Japan," Discussion papers 17032, Research Institute of Economy, Trade and Industry (RIETI).
    31. Benleulmi, Ahmed Ziad & Blecker, Thorsten, 2017. "Investigating the factors influencing the acceptance of fully autonomous cars," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 99-115, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    32. Chen, Yuche & Gonder, Jeffrey & Young, Stanley & Wood, Eric, 2019. "Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 134-145.
    33. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
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    More about this item

    Keywords

    Fully autonomous vehicle; WTP; structural equation model; environmental concerns.;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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