4.6 Article

Economic, Functional, and Social Factors Influencing Electric Vehicles' Adoption: An Empirical Study Based on the Diffusion of Innovation Theory

Journal

SUSTAINABILITY
Volume 14, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/su14106283

Keywords

electric vehicle; adoption; diffusion of innovation theory; structural equation model

Funding

  1. National Natural Science Foundation of China [72171180]

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This study proposes a research model based on the diffusion of innovation theory to identify factors influencing the adoption of EVs. Empirical results reveal the significant impacts of innovation characteristics, economic factors, functional factors, and social factors on consumer adoption of EVs.
Although electric vehicles (EVs) have been heavily promoted as an effective solution to sustainable problems such as environmental pollution and resource constraints, the market penetration of EVs remains below expectations. By viewing EVs as innovative products that are different from traditional fuel vehicles, this study proposes a research model based on the diffusion of innovation theory, in which a series of factors influencing the adoption of EVs are identified. We collected 375 valid responses through an offline survey, and the structural equation modeling technique was used to empirically test the proposed model. The empirical results indicate that consumer adoption of EVs can be effectively predicted by three important innovation characteristics, namely perceived compatibility, perceived complexity, and perceived relative advantage. Furthermore, the results also suggest that factors in the economic aspect (monetary subsidy and risk of a price reduction), functional aspect (intelligent function and risk of sustainability), and social aspect (status symbol and risk of reputation), exert significant impacts on the adoption of EVs by influencing consumers' perceptions of innovation characteristics. Theoretically, this study contributes to the literature by providing an appropriate theoretical perspective for understanding consumer adoption of EVs and identifying numerous significant antecedents of such behavior. Practically, the findings of this study can be applied to promote the market penetration of EVs.

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