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To vitalize the EV market, it is necessary to understand key factors influencing EV adoption and their interrelationships, in order to establish proper strategies and promotion plans. This study utilized exploratory factor analysis (EFA) and structural equation modeling (SEM) approaches to form several EV adoption constructs and examine their directions of relationships. A questionnaire survey was developed based on 24 EV-related variables, extracted from a literature review for use in data collection. The respondents were car manufacturers and EV users in Bangkok and its vicinity, in Thailand. The EFA grouped the 24 variables into four key factors representing Government Support, Battery-related, Vehicle Performance, and Individual Characteristics of EV Adoption. The SEM results prove that government support in, for example, R&D, EV regulation, electric battery- and EV manufacturing-related training, and controlling electricity prices are necessary to stimulate the EV market. Other criteria, such as household income, GDP, and the general trend, should be considered when establishing schemes to promote the EV market in the long term. |
