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Electric vehicle adoption in a mature market: A case study of Norway

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  • Yang, Anni
  • Liu, Chenhui
  • Yang, Di
  • Lu, Chaoru

Abstract

The transportation sector, led by the automobile, is the major contributor to greenhouse gas emissions and increasing global warming. Transport electrification is one of the effective solutions to reduce oil dependency and mitigate environmental and climatic impacts from road transportation. Norway aims to be a major force in the electric vehicle market and has the ambition to have all newly sold light-weight vehicles be zero-emission by 2025. The share of battery electric vehicles (BEVs) in the auto market in Norway had reached up to 64.5% in 2021, indicating that Norway has recently become a well-matured BEV market. Some previous studies have investigated the drivers of BEV adoption in different countries but primarily in areas with low BEV market share. The drivers of a well-mature market with high BEV adoption remain poorly understood. Additionally, some existing works ignored the impacts of climatic conditions on BEV adoption, although climate conditions have been considered as one of the most important factors that impact BEV performance. In this study, we estimated how socioeconomic drivers and climatic conditions affect the spatial patterns of Norwegian BEV adoption in 2019 using the conditional autoregressive models. We found that the BEV adoption in Norway have a significant clustering pattern. Norwegians in urban areas with more available charging stations and having higher income levels and demand for travel are more likely to adopt BEVs. Municipalities with lower minimum temperatures and a higher proportion of elderly people often have a lower BEV adoption rate. Our findings emphasized the impacts of climatic conditions on BEV adoption and could provide important insights into the late-stage BEV adoption market for many countries in which the current BEV market is still in development.

Suggested Citation

  • Yang, Anni & Liu, Chenhui & Yang, Di & Lu, Chaoru, 2023. "Electric vehicle adoption in a mature market: A case study of Norway," Journal of Transport Geography, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:jotrge:v:106:y:2023:i:c:s0966692322002125
    DOI: 10.1016/j.jtrangeo.2022.103489
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    References listed on IDEAS

    as
    1. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    2. Mukherjee, Sanghamitra Chattopadhyay & Ryan, Lisa, 2020. "Factors influencing early battery electric vehicle adoption in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    3. Xuefang Li & Chenhui Liu & Jianmin Jia, 2019. "Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    4. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    5. Dimatulac, Terence & Maoh, Hanna, 2017. "The spatial distribution of hybrid electric vehicles in a sprawled mid-size Canadian city: Evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 60(C), pages 59-67.
    6. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    7. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    8. Patyal, Vishal Singh & Kumar, Ravi & Kushwah, Shiksha, 2021. "Modeling barriers to the adoption of electric vehicles: An Indian perspective," Energy, Elsevier, vol. 237(C).
    9. Plananska, Jana & Gamma, Karoline, 2022. "Product bundling for accelerating electric vehicle adoption: A mixed-method empirical analysis of Swiss customers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    10. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    11. Rodrigues, João L. & Bolognesi, Hugo M. & Melo, Joel D. & Heymann, Fabian & Soares, F.J., 2019. "Spatiotemporal model for estimating electric vehicles adopters," Energy, Elsevier, vol. 183(C), pages 788-802.
    12. 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.
    13. Morton, Craig & Anable, Jillian & Yeboah, Godwin & Cottrill, Caitlin, 2018. "The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom," Journal of Transport Geography, Elsevier, vol. 72(C), pages 119-130.
    14. Liu, Xiaoling & Sun, Xiaohua & Zheng, Hui & Huang, Dongdong, 2021. "Do policy incentives drive electric vehicle adoption? Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 49-62.
    15. Ji, Dandan & Gan, Hongcheng, 2022. "Effects of providing total cost of ownership information on below-40 young consumers’ intent to purchase an electric vehicle: A case study in China," Energy Policy, Elsevier, vol. 165(C).
    16. Jang, Sungsoon & Choi, Jae Young, 2021. "Which consumer attributes will act crucial roles for the fast market adoption of electric vehicles?: Estimation on the asymmetrical & heterogeneous consumer preferences on the EVs," Energy Policy, Elsevier, vol. 156(C).
    17. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
    18. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2019. "Consumer preferences for business models in electric vehicle adoption," Transport Policy, Elsevier, vol. 73(C), pages 12-24.
    19. Priessner, Alfons & Sposato, Robert & Hampl, Nina, 2018. "Predictors of electric vehicle adoption: An analysis of potential electric vehicle drivers in Austria," Energy Policy, Elsevier, vol. 122(C), pages 701-714.
    20. Haustein, Sonja & Jensen, Anders Fjendbo & Cherchi, Elisabetta, 2021. "Battery electric vehicle adoption in Denmark and Sweden: Recent changes, related factors and policy implications," Energy Policy, Elsevier, vol. 149(C).
    21. Kumar, Rajeev Ranjan & Chakraborty, Abhishek & Mandal, Prasenjit, 2021. "Promoting electric vehicle adoption: Who should invest in charging infrastructure?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
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