School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China.
COMSATS University Islamabad, Islamabad, Pakistan.
Environ Sci Pollut Res Int. 2020 Nov;27(32):39774-39785. doi: 10.1007/s11356-020-08311-4. Epub 2020 Mar 20.
Smog pollution deteriorates environmental quality and has severe health risks. This affects the daily lives of people in China, particularly in urban areas. Along with other factors, a large portion for smog comes from transportations, making it dense and more hazardous in urban areas. The Chinese government aims to reduce air pollution by promoting electric vehicles and green modes for mobility along with other environmental protection measures. The study explores the switching intentions of people from motorized vehicles to electric vehicles by integrating push-pull-mooring model and institutional theory. The study incorporates environmental quality, regulative environment, alternative attractiveness, normative environment, self-(decision)efficacy, and willingness to pay into an integrated framework. The study further analyzes the green behavior of consumers by extending switching intentions for electric vehicles. The integrated framework explains mooring as the most influential factor followed by normative environment from pull factors and environmental quality from push factors. The effect of regulative environment remains weak and significant, but the effect of alternative attractiveness remains weak and insignificant. The switching intentions strongly and significantly explain green behavior. Furthermore, mooring moderates the relationship between push factors, some of the pull factors, and switching intentions.
雾霾污染恶化了环境质量,对健康造成严重风险。这影响了中国人的日常生活,尤其是在城市地区。除其他因素外,大量的雾霾来自交通运输,使其在城市地区更加密集和危险。中国政府旨在通过推广电动汽车和绿色出行方式以及其他环境保护措施来减少空气污染。本研究通过整合推拉锚固模型和制度理论,探讨了人们从机动车向电动汽车转变的意愿。本研究将环境质量、监管环境、替代吸引力、规范环境、自我(决策)效能和支付意愿纳入一个综合框架。本研究进一步通过扩展电动汽车的转换意愿来分析消费者的绿色行为。综合框架解释说,锚固是最具影响力的因素,其次是拉动力中的规范环境和推动力中的环境质量。监管环境的影响仍然较弱且显著,但替代吸引力的影响仍然较弱且不显著。转换意愿强烈且显著地解释了绿色行为。此外,锚固还调节了推动因素、一些拉动因素和转换意愿之间的关系。