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Drivers of Electric Vehicle Market Penetration: Empirical Findings from Bulgaria Cover

Drivers of Electric Vehicle Market Penetration: Empirical Findings from Bulgaria

Open Access
|Jul 2026

Abstract

This study investigates the impact of government tax policy on the development of sustainable transport in Bulgaria by analysing the drivers of electric vehicle (EV) market penetration. Using a balanced panel dataset covering the period 2018–2023 for selected Central and Eastern European countries (CEECs), a two-way fixed effects panel regression model is employed to account for both country-specific and time-specific unobserved heterogeneity. The results indicate that higher economic development, proxied by GDP per capita in PPS, significantly increases EV market share, highlighting affordability as a fundamental driver of electric mobility adoption. Population density is also found to have a positive, statistically significant effect, suggesting that urbanisation and spatial efficiency facilitate EV diffusion by enabling shorter travel distances and a more effective use of infrastructure. In contrast, the analysis does not provide sufficient evidence that the absolute number of public charging stations directly influences EV market share over time within countries. Furthermore, the estimated country fixed effects reveal substantial cross-country heterogeneity in EV adoption, reflecting persistent structural and institutional differences beyond observable economic and infrastructural factors. These findings underscore that EV adoption is a multifaceted process shaped by the interaction of economic capacity, spatial structure, and country-specific conditions.

Language: English
Page range: 104 - 115
Submitted on: Aug 15, 2025
Accepted on: Mar 27, 2026
Published on: Jul 2, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Nadezhda Blagoeva, Delyana Dimova, Vanya Georgieva, published by Institute of Technology and Business in České Budějovice
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.