Analysis on the determinants of EV purchase intention in Sweden

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Examensarbete för masterexamen
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This study uses a discrete choice experiment embedded in a survey to explore the determinants of Swedish consumers’ choice between electric vehicles (EVs) and internal combustion engine (ICE) vehicles. A total of 373 respondents, resulting in 7,266 valid choice observations, were collected and analyzed using binary logistic regression models. Model specifications include both vehicle-specific attributes (e.g., price, range, maintenance costs, charging time, charging convenience, and emissions) and demographic characteristics (e.g., age, gender, education, income, and family structure). The results show that economic and infrastructure considerations dominate consumers’ decision-making process. Specifically, vehicle price, maintenance costs, and the availability of home charging infrastructure are significant attributes of EV adoption. The existence of a home charger is a particularly important driver, increasing the probability of choosing an EV by nearly 60 percentage points on average. In contrast, attributes such as range and charging time, while in the direction of theoretical expectations, are not statistically significant in the current sample. The probability analysis also highlights that in the absence of home charging facilities, the impact of price cuts is relatively limited, suggesting that policymakers should increase investment in EV charging facilities. The study provides practical insights for policymakers aiming to accelerate the adoption of EVs in Sweden. In addition to targeted financial incentives, efforts should focus on improving private and public charging infrastructure. The findings also contribute to a broader understanding of how practical and infrastructure factors influence low-carbon transport choices in European markets.

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Electric Vehicle, Vehicle Attributes, Discrete Choice Modeling

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