The Evaluation of EV3.0 Policy and Factors Determining Demand for Electric Vehicles in Thailand
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Abstract
This study evaluates the impact of the EV3.0 policy and examines the macroeconomic determinants influencing the demand for electric vehicles (EVs) in Thailand. Utilizing monthly data from January 2017 to December 2024, the analysis employs the Autoregressive Distributed Lag (ARDL) model and the ARDL-ECM with a structural break framework to investigate the relationship between variables in both short-run and long-run periods. The empirical findings reveal that EV demand increases with rising aggregate income and oil prices, while a decline in the minimum retail rate significantly stimulates demand. Additionally, the EV3.0 policy is found to have a statistically significant short-run effect on EV demand, albeit with a one-period lag. However, in the long run, aggregate income does not exert a statistically significant influence on EV demand, and the effectiveness of the EV3.0 policy diminishes considerably. These findings suggest that supplementary government policies offering continued incentives for households should be implemented to sustain long-term EV adoption.
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