Influence of The Carbon Border Adjustment Mechanism on The Imports of Passenger Vehicles to Germany
DOI:
https://doi.org/10.62051/fgwgez02Keywords:
Carbon Border Adjustment Mechanism, Automotive Industry, Imports, Gravity Model.Abstract
Climate policy is increasingly influencing trade patterns through carbon-cost differentials. This paper investigates how the EU Carbon Border Adjustment Mechanism (CBAM) may reconfigure Germany's passenger-vehicle imports once carbon pricing at the border becomes binding. Using a simulation-based gravity framework with a balanced panel of 47 exporters (2008–2024), the author constructed two CBAM exposure measures: (i) a Structure Effect capturing ETS-aligned carbon-price asymmetries scaled by technological capability, and (ii) an Effective Cost interaction that amplifies penalties for carbon-intensive producers. Results show a two-channel mechanism: the Structure Effect is positively correlated with German imports, consistent with sourcing shifts toward technologically advanced, low-carbon suppliers, while the Effective Cost significantly curtails imports from high-emission exporters—particularly non-EU countries fully exposed to border carbon pricing. Overall, CBAM is predicted to generate a moderate change in import levels but a meaningful reallocation in Germany's supplier composition, with implications for supply-chain resilience and the distribution of adjustment pressure across exporting countries.
Downloads
References
[1] G. Erbach, J. Liselotte, towards climate neutrality – Fit for 55 package, European Parliamentary Research Service, Luxembourg, 2024.
[2] G. Erbach, CO₂ emission standards for new cars and vans – "Fit for 55 package", European Parliamentary Research Service, Luxembourg, 2021.
[3] European Commission, Carbon Border Adjustment Mechanism (CBAM) – Information on aluminium imports, Luxembourg, 2023.
[4] German Environment Agency, Introduction of a Carbon Border Adjustment Mechanism (CBAM) in the European Union, Dessau-Roßlau, 2023.
[5] B. Bye, K.R. Kaushal, H.B. Storrøsten, EU’s carbon border adjustment mechanism (CBAM): Industrial effects, Clim. Policy, 2025, pp. 1–13.
[6] T. Puls, The automotive industry in 2024, German Economic Institute, Cologne, 2024.
[7] A. Buylova, N. Nasiritousi, CBAM: Bending the carbon curve or breaking international trade, Swedish Institute for European Policy Studies (SIEPS), Stockholm, 2024.
[8] H. Müller, L. Schmidt, Compliance costs and market competitiveness under CBAM, Eur. Econ. Rev., 2022.
[9] Sustainability Performances, Evidence and Scenarios (SPES), Understanding and assessing CBAM: Vulnerability and impacts in the European Union, SPES Research Consortium, 2025.
[10] Holovko, A. Marian, M. Apergi, the role of the EU CBAM in raising climate policy ambition in trade partners, Institute for Advanced Sustainability Studies (IASS), Potsdam, 2021.
[11] I.D. Smith, I. Overland, K. Szulecki, The EU’s CBAM and its “significant others”: Three perspectives on the political fallout from Europe’s unilateral climate policy initiative, J. Common Mark. Stud. 62, 2024, pp. 603–618.
[12] J.D. Martinez, T.Z. Bahlinger, M. Beckmann, C. Bode, S. Bort, R. Brühl, et al., Impact of the European Carbon Border Adjustment Mechanism (CBAM) on German industry, Junior Manag. Sci. 9, 2024, pp. 1964–1993.
[13] F. Del Pero, M. Delogu, M. Pierini, Life cycle assessment in the automotive sector: A comparative case of internal combustion engine and electric vehicles, Procedia Struct. Integr. 12, 2018, pp. 521–537.
[14] S. Wang, X. Wang, S. Chen, Global value chains and carbon emission reduction in developing countries: Does industrial upgrading matter? Environ. Impact Assess. Rev. 97, 2022, Article 106895.
[15] Q.A. Malik, S. Hussain, N. Ullah, A. Waheed, M. Naeem, M. Mansoor, Simultaneous equations and endogeneity in corporate finance, J. Asian Financ. Econ. Bus. 8, 2020, pp. 72–83.
[16] Y. Hwang, J. Kim, Analysis of the effects of rural convergence industry policy on regional agricultural economy, J. Agric. Life Environ. Sci. 37, 2025, pp. 1–15.
[17] J. Bai, S.H. Choi, Y. Liao, Feasible generalized least squares for panel data with cross-sectional and serial correlations, Empir. Econ. 60, 2021, pp. 309–326.
[18] Abadie, S. Athey, G.W. Imbens, J. Wooldridge, when should you adjust standard errors for clustering, Q. J. Econ. 138, 2023, pp. 1–35.
[19] J.C. Driscoll, A.C. Kraay, Consistent covariance matrix estimation with spatially dependent panel data, Rev. Econ. Stat. 80, 1998, pp. 549–560.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Transactions on Economics, Business and Management Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.








