Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?
By Shanyong Wang, Jing Wang, Jun Li, Jinpeng Wang, Liang Liang. Transportation Research Part A: Policy and Practice, 2018
324 citations recorded by the source corpus.
Electric vehicles (EVs) have been regarded as one of the most promising green technologies to reduce carbon emissions and energy consumption from the transport sector. Understanding and exploring the factors that affect consumer’s intention to adopt EVs is important. The main purpose of this research is to analyze the effects of consumer’s knowledge about EVs, perceived risk, perceived usefulness and current financial incentive policies on consumer’s intention to adopt EVs using an extended technology acceptance model. The model is empirically tested using questionnaire survey data collected from 320 consumers in China. The results shown that consumer’s knowledge about EVs is positively and significantly related to perceived usefulness, attitude and intention to adopt EVs, but negatively and significantly related to perceived risk. Perceived risk negatively affects perceived usefulness, attitude and intention to adopt EVs. Meanwhile, perceived usefulness has a positive effect on adoption intention and attitude, and attitude is also positively related to the intention to adopt EVs. However, the results also indicate that the financial incentive policy has no significant effect on intention to adopt EVs. In addition, the results also find that consumers lacking of knowledge about EVs and perceiving high risk of EVs could be the psychological barriers to their acceptance of EVs. Based on the results, policy implications for increasing the adoption of EVs and suggestions for future research are discussed.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/8c915d2e00d77f273c544b993c75d9dc573f899c
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In Management Science and Operations Research
Citations in the corpus
- Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception (2021, background): “In addition, Wang et al., 2018 [18] analyzed the effects of consumer knowledge about EVs, perceived risks, usefulness, and current financial incentives.”
- “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “The perception of risk is often seen as the major barrier to user adoption of innovative technologies (Wang et al., 2018).”