How is the acceptance of new energy vehicles under the recurring COVID-19-A case study in China

被引:5
作者
Jiang, Yahong [1 ]
Wu, Qunqi [2 ]
Chen, Bo [1 ]
Long, Qian [1 ]
Song, Yongchao [3 ]
Yang, Jun [2 ]
机构
[1] Changan Univ, Coll Transportat Engn, Xian 710064, Peoples R China
[2] Changan Univ, Sch Econ & Management, Xian 710064, Peoples R China
[3] Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China
关键词
Low-carbon transportation; New energy vehicles; Policy orientation; Behavioral response; BATTERY ELECTRIC VEHICLES; POLICY IMPLICATIONS; CONSUMER ATTITUDES; ADOPTION; INTENTION; MODEL; PERCEPTION; IMPACT; PREFERENCES; INCENTIVES;
D O I
10.1016/j.jclepro.2023.139751
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
COVID-19 threatens human life and health, and affects travel frequency and travel mode choice. Clarifying the main drivers of the purchase intention of new energy vehicles (NEVs) under the epidemic is important for formulating phasing policy regarding the promotion of green mobility and the construction of smart cities. Based on this, this study introduces variables such as perceived risk and trust under the epidemic, aiming to investigate the main drivers of the purchase intention of NEVs in China under epidemic through an extended technology acceptance model. The data covered the public in urban, suburban, and rural areas of China (n = 884) and were analyzed using structural equation model. Specifically, trust had a significant positive effect after the epidemic. Perceived risk did not directly affect the public's intention to purchase new energy vehicles, but had an indirect effect through attitude and perceived utility, attitude and trust, and social interaction and trust. In addition, the significant positive impacts of subsidy and non-subsidy incentive are further validated, which reinforces the current view. Considering the limited literature related to the purchase intention of NEVs under the epidemic in developing countries, it is hoped that these findings will provide new perspectives for future research, and provide guidance for phasing policy formulation.
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页数:17
相关论文
共 108 条
[81]   Electric vehicles? consumer behaviours: Mapping the field and providing a research agenda [J].
Secinaro, Silvana ;
Calandra, Davide ;
Lanzalonga, Federico ;
Ferraris, Alberto .
JOURNAL OF BUSINESS RESEARCH, 2022, 150 :399-416
[82]   Towards a hybrid model for the management of smart city initiatives [J].
Secinaro, Silvana ;
Brescia, Valerio ;
Calandra, Davide ;
Biancone, Paolo .
CITIES, 2021, 116
[83]  
Shaw R., 2004, DISASTER PREV MANAG
[84]   Does Heightening Risk Appraisals Change People's Intentions and Behavior? A Meta-Analysis of Experimental Studies [J].
Sheeran, Paschal ;
Harris, Peter R. ;
Epton, Tracy .
PSYCHOLOGICAL BULLETIN, 2014, 140 (02) :511-543
[85]  
Sheng-Yu Z., 2020, SHANDONG TRANSP TECH, V4, P98
[86]   Research on the Choice Behavior of Taxis and Express Services Based on the SEM-Logit Model [J].
Si, Yang ;
Guan, Hongzhi ;
Cui, Yuchao .
SUSTAINABILITY, 2019, 11 (10)
[87]   The influence of financial incentives and other socio-economic factors on electric vehicle adoption [J].
Sierzchula, William ;
Bakker, Sjoerd ;
Maat, Kees ;
van Wee, Bert .
ENERGY POLICY, 2014, 68 :183-194
[88]   Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model [J].
Silvia, Chris ;
Krause, Rachel M. .
ENERGY POLICY, 2016, 96 :105-118
[89]   Socio-demographic characteristics, psychological factors and knowledge related to electric car use: A comparison between electric and conventional car drivers [J].
Simsekoglu, Ozlem .
TRANSPORT POLICY, 2018, 72 :180-186
[90]   How consumer drivers construe vehicle performance: Implications for electric vehicles [J].
Skippon, Stephen M. .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 23 :15-31