Public purchasing subsidies and the fear of missing out: A full-sample analysis of electric vehicle adoption in Germany

This is the first study to employ a national full sample dataset for a socioeconomic analysis of the adoption of electric vehicles (EVs). We use the most recent vehicle registration dataset from the Fed-eral Motor Transport Authority of Germany, which includes the entire underlying population of German vehicle owners. Combining web-scraped data covering all vehicles available in the German market with actual registration data allows a unique analysis of the individual decisions to purchase an EV. Our results suggest that financial incentives are the most relevant factor for EV adoption, with a €1,000 subsidy in-crease boosting EV choice probability by 1.2 percentage points. Given that EVs currently constitute 12% of newly registered private vehicles in Germany, our model calculates that, in the absence of subsidies, this share would be 1.2%. In contrast, a uniform maximum subsidy of €9,000 from 2011 to 2023 could have increased the adoption rate to 20%. These results underscore the importance of fin ancial incentives in achieving policy targets for EV adoption and suggest that purchase subsidies exhibit increasing marginal returns.