Who buys New Energy Vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy
By Huibin Du, Diyi Liu, Benjamin Sovacool, Yuru Wang, Shoufeng Ma, Rita Yi Man Li. Transportation Research Part F: Traffic Psychology and Behaviour, 2018
179 citations recorded by the source corpus.
Abstract This paper investigates the salience of social-psychological factors in explaining why drivers purchase (or fail to purchase) New Energy Vehicles (NEVs)—including hybrid electric vehicles, battery electric vehicles, and fuel cell electric vehicles—in China. A questionnaire measuring six dimensions (including attitudes, subjective norms, perceived behavioral control, personal norms, low-carbon awareness and policy) was distributed in Tianjin, where aggressive policy incentives for NEVs exist yet adoption rates remain low. Correlation analysis and hierarchical multiple regression analyses are applied data collected through 811 valid questionnaires. We present three main findings. First, there is an “awareness-behavior gap” whereby low-carbon awareness has a slight moderating effect on purchasing behavior via psychological factors. Second, subjective norms has a stronger influence on intention to purchase New Energy Vehicles than other social-psychological factors. Third, acceptability of government policies has positive significant impact on adoption of New Energy Vehicles, which can provide reference potential template for other countries whose market for New Energy Vehicles is also in an early stage.
Subfields: Electrical and Electronic Engineering, Management, Monitoring, Policy and Law, Pollution
View Paper: https://www.semanticscholar.org/paper/a7efea1f937a4e036b00ba244ece280f9fcfe8fa
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In Management, Monitoring, Policy and Law
Citations in the corpus
- Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences (2020, unknown): “many EV and other technology acceptance studies [62], [78], [79].”
- Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020, result): “…facilitating conditions, hedonic motivation, willingness to pay and behavioural intention, we created mean-centered product-terms of age, gender, and experience with advanced driver assistance systems and the UTAUT2 predictor constructs, respectively, in line with the literature (Du et al., 2018).”
- Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China (2019, background): “Related research have shown that perceived behavioral control is strong determinants of intentions to purchase new energy vehicles [54,65].”