Electric mobility is one of the key technologies that may contribute to tackling externalities especially in the fight against climate change, and consequently in achieving sustainable transportation. Among the different electric vehicle (EV) technologies, battery electric vehicles (BEVs) constitute a strong option for future transportation. Despite the large investments made in the EV industry and the large-scale promotion of electric mobility through several policy measures in the last decade, this market segment is still underrepresented in the total automotive market. The available evidence indicates that there is a remarkable gap between the expectations and experiences in applying the measures. This study investigates the available measures that, directly or indirectly, may contribute to the future success of the BEVs. The authors categorize the available measures (financial incentives, non-financial incentives, disincentives) and highlight the possible cross-effects between them through a descriptive analysis. The main finding of this study is that, as there are synergies between the different measures, decision makers need a complex approach to excavate the market mechanism and implement effective and efficient policy measures.

Electric mobility has great potential to help achieve global climate change mitigation goals. Within the domain of electric vehicles (EVs), battery electric vehicles (BEVs) have the largest advantage over conventional internal combustion engine technology. However, their penetration depends on many factors. Several studies have investigated the different policy incentives supporting the EV market, but less analytical research has been conducted to evaluate the different incentives. This study investigates the wide range of incentives that were adopted across 15 countries between 2010 and 2018, and their effectiveness in the market amidst other factors, using a generalized linear model. The results of the statistical analysis identified the availability of local BEV production facility, income, accessibility to fast charging infrastructure, and value-added tax exemptions as positive and statistically significant factors to the market share of BEVs across the years, while positive significant correlations were not identified for the other factors and incentives investigated. This emphasizes the impact of economic performance, technological certainty, and the presence of charging infrastructure with fast charging solutions in BEV adoption decision making, and could be an indication to policymakers of the limited impact of other factors when considered over a length of time.