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Who are Driving Electric Vehicles? An analysis of factors that affect EV adoption in Hawaii

Author

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  • Makena Coffman

    (Department of Urban and Regional Planning, University of Hawaii at Manoa; UHERO)

  • Scott Allen

    (Department of Urban and Regional Planning, University of Hawaii at Manoa)

  • Sherilyn Wee

    (UHERO)

Abstract

Electric vehicles (EVs) have the potential to reduce local air pollution as well as greenhouse gas emissions, assuming they are predominantly powered with renewable energy. Upon their reintroduction to the mass vehicle market in 2010, President Obama set a goal of having a million on the road in the U.S. by 2015. Similarly, in Hawaii, the Hawaii Clean Energy Initiative target was to have 10,000 EVs on the road by 2015 and 40,000 by 2020. Despite policy support, actual rates of EV adoption have fallen substantially short of stated goals. By the end of 2017, there were about 770,00 EVs within the U.S., with 6,700 of these in Hawaii. This study uses data on EV registrations by zipcode in Hawaii to analyze a variety of demographic and transportation factors that might affect EV adoption. We find that, after controlling for population and gasoline prices, higher income zipcodes are associated with higher levels of EV adoption – where an increase of $10,000 in median income is associated with an additional 6 EVs within the 2010-2016 study time period (where the average zipcode in our sample had 68 EVs in 2016). When educational attainment is measured, we find that a 1% increase in the number of people with at least a bachelor’s degree increases zipcode EV adoption by about 76. We find some evidence that gender can matter, similar to other studies that find that men are more likely to adopt EVs. The effect of age seems to be more robust, where we find that for every 1-year increase from the average zipcode’s median age, there are 1 to 2 more EVs. Most notably, we find that commute time affects EV adoption in Hawaii – which is somewhat surprising given the relatively limited travel distances of an island geography. We find that a 1% increase in the prevalence of commute times greater than forty-five minutes within a zipcode, likely meaning they are farther from the central business district, is associated with 37 fewer EVs relative to those with a commute time under forty-five minutes. This finding holds even when looking at the island of Oahu alone, which has the majority of the state’s population as well as the majority of EVs. The island is about forty-four miles long, far less distance than the range offered by most EVs. This suggests that there may be strong risk-aversion associated with EV range anxiety as well as prompts further study of the effect of trip-chaining on EV purchase decisions.

Suggested Citation

  • Makena Coffman & Scott Allen & Sherilyn Wee, 2018. "Who are Driving Electric Vehicles? An analysis of factors that affect EV adoption in Hawaii," Working Papers 2018-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    • Handle: RePEc:hae:wpaper:2018-3
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    References listed on IDEAS

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    1. Tseng, Hui-Kuan & Wu, Jy S. & Liu, Xiaoshuai, 2013. "Affordability of electric vehicles for a sustainable transport system: An economic and environmental analysis," Energy Policy, Elsevier, vol. 61(C), pages 441-447.
    2. 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.
    3. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    4. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    5. Wu, Xing & Dong, Jing & Lin, Zhenhong, 2014. "Cost analysis of plug-in hybrid electric vehicles using GPS-based longitudinal travel data," Energy Policy, Elsevier, vol. 68(C), pages 206-217.
    6. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    7. Tran, Martino & Banister, David & Bishop, Justin D.K. & McCulloch, Malcolm D., 2013. "Simulating early adoption of alternative fuel vehicles for sustainability," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 865-875.
    8. Arie Beresteanu & Shanjun Li, 2011. "Gasoline Prices, Government Support, And The Demand For Hybrid Vehicles In The United States," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 161-182, February.
    9. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    10. 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.
    11. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Total cost of ownership, payback, and consumer preference modeling of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 103(C), pages 488-506.
    12. Hackbarth, André & Madlener, Reinhard, 2011. "Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis," FCN Working Papers 20/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    13. Schroeder, Andreas & Traber, Thure, 2012. "The economics of fast charging infrastructure for electric vehicles," Energy Policy, Elsevier, vol. 43(C), pages 136-144.
    14. Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2012. "Willingness to pay for the infrastructure investments for alternative fuel vehicles," Discussion Papers 1207, Graduate School of Economics, Kobe University.
    15. Campbell, Amy R. & Ryley, Tim & Thring, Rob, 2012. "Identifying the early adopters of alternative fuel vehicles: A case study of Birmingham, United Kingdom," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1318-1327.
    16. Lopes, Mafalda Mendes & Moura, Filipe & Martinez, Luis M., 2014. "A rule-based approach for determining the plausible universe of electric vehicle buyers in the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 22-36.
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    1. Kumar Sunil & Parihar, Shrutika & Garg, Amit, 2018. "Optimal allocation of electric vehicle charging infrastructure using GIS methodology," IIMA Working Papers WP 2018-12-01, Indian Institute of Management Ahmedabad, Research and Publication Department.

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