How do the Determinants of Electric Vehicle Adoption Change Over Time? A Multivariate Ordered Probit Analysis

The existing literature on electric vehicles (EVs) lacks a time-based differentiation in adoption patterns. This paper examines the evolving factors influencing EV adoption over time via a stated preference survey. The sample includes 718 adult residents of Indiana, who had never owned or leased an EV, and is representative in terms of age, gender, and income of the Indiana population. A multivariate ordered probit model examined factors influencing participants' likelihood to purchase an EV in the next 1, 2, 3, 5, and 8 years. The results identified significant determinants, such as respondents' age, gender, experience driving an EV, lack of knowledge of available incentives (such as Federal Tax Credit and rebates to install home charges), perceived cost, perceived performance, perceived charging accessibility and respondents' pro-environmental behavior. This study offers several policy implications for stakeholders interested in fostering EV adoption.