open access publication

Article, 2024

The effect of changing registration taxes on electric vehicle adoption in Denmark

Transportation Research Part A Policy and Practice, ISSN 1879-2375, 0965-8564, Volume 185, Page 104117, 10.1016/j.tra.2024.104117

Contributors

Trotta, Gianluca 0000-0003-0734-9857 (Corresponding author) [1] Sommer, Stephan 0000-0002-0864-7795 [2]

Affiliations

  1. [1] Aalborg University
  2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Bochum University of Applied Sciences
  4. [NORA names: Germany; Europe, EU; OECD]

Abstract

Large-scale deployment of battery electric vehicles (BEVs) is strategically important for the transition toward a low-carbon economy. Denmark has traditionally stimulated BEV diffusion through a registration tax exemption that was lifted in 2016 and partially reintroduced in 2018. Exploiting car registration and detailed population data covering the period 2013–2019 and using Bayesian additive regression trees, this paper provides new evidence on (i) the effects of the changes in the registration tax on the adoption of BEVs in Denmark, (ii) the socioeconomic factors that influence BEV adoption, and (iii) the presence of freerider effects. The results suggest that the number of BEVs would have been higher had the tax exemption remained. Moreover, we detect heterogenous treatment effects that are larger the more likely a socioeconomic group is to purchase a BEV. Consequently, we expect that there are substantial freerider effects in the promotion of BEVs via the tax system.

Keywords

BEV adoption, Bayesian additive regression trees, Denmark, additive regression trees, adoption, adoption of battery electric vehicles, battery electric vehicles, car registrations, changes, data, deployment of battery electric vehicles, diffusion, economy, effect, electric vehicle adoption, electric vehicles, evidence, exemption, factors, freeriders, group, heterogeneous treatment effects, large-scale deployment, low-carbon economy, period, population, population data, presence, promoter, promotion of battery electric vehicles, registration, registration tax, registration taxes, regression trees, results, socioeconomic factors, socioeconomic groups, system, tax, tax exemption, tax system, taxes, transition, treatment effects, trees, vehicle, vehicle adoption

Funders

  • European Research Council
  • Federal Ministry of Education and Research

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