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The role of energy infrastructure in shaping early adoption of electric and gasoline cars

Author

Listed:
  • Josef Taalbi

    (Lund University)

  • Hana Nielsen

    (Lund University)

Abstract

Electric vehicles have a potential to lower greenhouse gas emissions but still face challenges. This study asks what can be learned from the US automobile history. In 1900, there were three equal contenders in the US automotive industry: gasoline, electric and steam cars. Only a decade later, the gasoline car had achieved a crushing dominance. This dominance is often attributed to techno-economic factors, such as an innate inferiority of electric cars. Meanwhile, the role of the infrastructures is not well understood. This study presents evidence on the mechanisms behind the rise of gasoline vehicles, using a database of more than 36,000 passenger car models. We estimated econometric models to explain the technology choice of car producers, which show that the slow expansion of electricity infrastructure had a key impact. We estimate that a 15 or 20 year earlier diffusion of electricity grids would have tipped the balance in favour of electric vehicles, most notably in metropolitan areas. In the context of the current climate crisis, the results support the notion that large-scale investment in infrastructure is critical to achieve sustainable socio-technological transitions.

Suggested Citation

  • Josef Taalbi & Hana Nielsen, 2021. "The role of energy infrastructure in shaping early adoption of electric and gasoline cars," Nature Energy, Nature, vol. 6(10), pages 970-976, October.
  • Handle: RePEc:nat:natene:v:6:y:2021:i:10:d:10.1038_s41560-021-00898-3
    DOI: 10.1038/s41560-021-00898-3
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    Cited by:

    1. Breschi, Valentina & Ravazzi, Chiara & Strada, Silvia & Dabbene, Fabrizio & Tanelli, Mara, 2023. "Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    2. Yunhan Zheng & David R. Keith & Shenhao Wang & Mi Diao & Jinhua Zhao, 2024. "Effects of electric vehicle charging stations on the economic vitality of local businesses," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Yang, Kexin & Zhang, Qi & Liu, Qiqi & Liu, Jiangfeng & Jiao, Jie, 2024. "Effect mechanism and efficiency evaluation of financial support on technological innovation in the new energy vehicles’ industrial chain," Energy, Elsevier, vol. 293(C).
    4. Yu, Yadong & Guo, Ying & Ma, Tieju, 2023. "Prioritizing the hydrogen pathways for fuel cell vehicles: Analysis of the life-cycle environmental impact, economic cost, and environmental efficiency," Energy, Elsevier, vol. 281(C).
    5. Castle, Jennifer L. & Hendry, David F., 2024. "Five sensitive intervention points to achieve climate neutrality by 2050, illustrated by the UK," Renewable Energy, Elsevier, vol. 226(C).
    6. Pierre, Cayet & Catherine, Azzaro-Pantel & Sylvain, Bourjade & Catherine, Muller-Vibes, 2024. "Beyond the “bottom-up” and “top-down” controversy: A methodological inquiry into hybrid modeling methods for hydrogen supply chains," International Journal of Production Economics, Elsevier, vol. 268(C).
    7. Rolf Golombek & Mads Greaker & Snorre Kverndokk & Lin Ma, 2023. "Policies to Promote Carbon Capture and Storage Technologies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 267-302, May.
    8. Chen, Rongkai & Fan, Ruguo & Wang, Dongxue & Yao, Qianyi, 2023. "Effects of multiple incentives on electric vehicle charging infrastructure deployment in China: An evolutionary analysis in complex network," Energy, Elsevier, vol. 264(C).
    9. Meryem Abid & Mohamed Tabaa & Hanaa Hachimi, 2024. "Electric Vehicle Routing Problem with an Enhanced Vehicle Dispatching Approach Considering Real-Life Data," Energies, MDPI, vol. 17(7), pages 1-27, March.
    10. Deng, Zhongwei & Xu, Le & Liu, Hongao & Hu, Xiaosong & Duan, Zhixuan & Xu, Yu, 2023. "Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles," Applied Energy, Elsevier, vol. 339(C).

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