Consumers' transport and mobility decisions
In: Journal of consumer behaviour, Band 22, Heft 2, S. 378-381
ISSN: 1479-1838
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In: Journal of consumer behaviour, Band 22, Heft 2, S. 378-381
ISSN: 1479-1838
SSRN
In this research, we study the civic perspective of pro-environmental behaviour, i.e. the environmental citizenship behaviour of urban residents. We examine a three-way interaction effect of residents' place attachment, their trust in local governments' environmental policies and their mobility on environmental citizenship behaviour. Using data from a sample of Beijing residents (N=423), we test our hypotheses using moderated regression analyses. Our findings suggest that place attachment and trust influence urban residents' environmental citizenship behaviour. We also find a two-way interaction effect, which indicates that the effect of place attachment on environmental citizenship behaviour is stronger when residents have a higher level of trust. Interestingly, our results support the existence of a three-way interaction effect, implying that the positive relationship between place attachment and environmental citizenship behaviour is strongest when trust is high and when mobility is high. The theoretical and practical implications of these findings are also discussed.
BASE
This paper is in closed access until 27th Feb 2020. ; This research focuses on the effects of different types of service attributes and context-based government policies, along with product attributes, on Chinese consumers' adoption of electric vehicles (EVs). Based on a stated choice experiment involving over 1,000 respondents in different cities of China, a mixed logit (MXL) model shows that typical product attributes are consistently important for potential car buyers, but that charging service has a mixed effect, depending on the level of service provision and speed. Specifically, the availability of a home charging facility has the strongest influence on consumers' choice to purchase EVs, and the service speed of public fast service stations is also significant. In relation to government policies, this study finds that in addition to government subsidy, free licensing policy for EVs is very attractive for consumers, compared to the lottery-based licensing for conventional petrol vehicles (PVs). We find that Chinese consumers have the highest willingness to pay for obtaining a free vehicle license for EVs (106,144 RMB on average) and being permitted to install a home charging post (91,039 RMB on average). Our findings imply the importance of considering consumers' perceived inconvenience associated with using EVs compared to buying and using conventional PVs. Furthermore, policy makers should consider the heterogeneous preference towards EVs when designing intervention policies in the Chinese market.
BASE
Although business models are critical to the successful market penetration and diffusion of sustainable innovations, little is known about consumer preferences for adopting electric vehicles (EVs) under innovative business models. Drawing on existing conceptualisations of business models, we study consumers' preferences for three innovative EV business models: (i) battery-leasing, (ii) EV-leasing, and (iii) Business-to-Customer (B2C) EV-sharing, in addition to the conventional EV-buying model. By conducting a nationwide stated preference (SP) experiment in China, we show that consumers perceive battery-leasing and EV-buying models to be close substitutes, while EV-leasing and EV-sharing models are perceived as independent. Important monetary attributes are the operational cost saving in the battery-leasing model and the leasing cost in the EV-leasing model. Critical service and policy attributes include home charging capability, vehicle licensing policy, and the density of battery-swapping stations for the battery-leasing model. We also find that female consumers, those who are well-educated, and those who have a pro-EV attitude are most likely to adopt EVs in innovative business models. Our work has significant value for companies and government in terms of better designing and supporting the innovative business models for EV adoption.
BASE