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The effectiveness of decarbonizing the passenger transport sector through monetary incentives

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  • Santarromana, Rudolph
  • Mendonça, Joana
  • Dias, André Martins

Abstract

Passenger cars account for most road transportation emissions, and almost half of overall transport sector emissions in the EU. Countries in Europe have established policies to achieve emissions reductions in the transport sector by incentivizing the acquisition of fuel-efficient vehicles. In this paper, we perform a pair-wise comparison of common passenger vehicles sold in 2017, which implements newer data and more realistic assumptions than an earlier study. The pair-wise study compares an electric vehicle (EV) against a similar combustion vehicle to simulate a real market choice for consumers—a method commonly used to elicit preferences—and shows that fiscal incentives are effective at increasing EV acquisition. Acquiring EVs over conventional vehicles alone contributes to about a 60% reduction per kilometer of well-to-wheel emissions, based on average emissions of new EU vehicle fleets in 2017. A second mechanism at reducing emissions in the transport sector is through incentivizing consumer charging behavior to use less carbon intense electricity. The electricity used to charge EVs is variable throughout a day; therefore, we propose a dynamic pricing mechanism dependent on the carbon intensity of the electricity grid. We do this analysis through a case study for Portugal using the entire country’s public charging demands from 2017. The responsiveness of the users to the variable price is reflected by the market price elasticity of demand, and the resulting reduction in demand from the surcharge is approximated. Our study finds that a surcharging mechanism based on the carbon intensity of the electric grid can yield an emissions reduction of 20 tonnes per year while still achieving profits.

Suggested Citation

  • Santarromana, Rudolph & Mendonça, Joana & Dias, André Martins, 2020. "The effectiveness of decarbonizing the passenger transport sector through monetary incentives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 442-462.
  • Handle: RePEc:eee:transa:v:138:y:2020:i:c:p:442-462
    DOI: 10.1016/j.tra.2020.06.020
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    References listed on IDEAS

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    Cited by:

    1. Yunlong Liu & Leiyu Chen & Chengfeng Huang, 2022. "A Tripartite Evolutionary Game and Simulation Analysis of Transportation Carbon Emission Reduction across Regions under Government Reward and Punishment Mechanism," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    2. Muhammad Shahzad Sardar & Nabila Asghar & Mubbasher Munir & Reda Alhajj & Hafeez ur Rehman, 2022. "Moderation of Services’ EKC through Transportation Competitiveness: PQR Model in Global Prospective," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
    3. Pavol Durana & Katarina Valaskova & Roman Blazek & Jozef Palo, 2022. "Metamorphoses of Earnings in the Transport Sector of the V4 Region," Mathematics, MDPI, vol. 10(8), pages 1-14, April.
    4. Liu, Jing & Li, Lingyue & He, Lingling & Ma, Xiaozhi & Yuan, Hongping, 2024. "Consumers or infrastructure firms? Who should the government subsidize to promote electric vehicle adoption when considering the indirect network and herd effects," Transport Policy, Elsevier, vol. 149(C), pages 163-176.
    5. Merkert, Rico & Beck, Matthew J. & Bushell, James, 2021. "Will It Fly? Adoption of the road pricing framework to manage drone use of airspace," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 156-170.
    6. Shao, Jing & Jiang, Changmin & Cui, Yinglong & Tang, Yao, 2023. "A game-theoretic model to compare charging infrastructure subsidy and electric vehicle subsidy policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).

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