Factors affecting the electric vehicle demonstration: 14 international cities/regions cases

Li, Suxiu; Liu, Yingqi; Wang, Jingyu

doi:10.1109/liss.2015.7369676

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…A new vehicle registration tax was decreased in Ireland to stimulate consumer purchases of EVs [47]. It is evident that financial incentivization lowered the cost of EV adoption, thereby increasing individual intentions to adopt an EV [15,[17][18][19]48]. Shabanpour et al [49] and Chen et al [50] found that AV purchase prices affected user choice in AV uptake.…”

Section: Financial Incentivizationmentioning

confidence: 99%

Determinants and the Moderating Effects of Individual Characteristics on Autonomous Vehicle Adoption in China

Tang

Wang

et al. 2022

IJERPH

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Along with the increasing popularity of autonomous vehicles (AVs), urban livability and public health will be enhanced due to ecofriendly issues: alleviated traffic congestion, lower car ownership, and reduced transport emissions. However, some emerging issues, including public safety, trust, privacy, reliability, underdeveloped legislation, and liability, may deter user intentions to adopt an AV. This study introduces an extensive factor, playfulness, into the technology acceptance model (TAM) to quantify the impacts of psychological factors (perceived usefulness, perceived ease of use, and perceived playfulness) on AV adoption intention. This study proposes four AV-related policy measures (financial incentivization, information dissemination, convenience, and legal normalization) and examines how policy measures motivate users to adopt an AV to facilitate public safety. Furthermore, this study investigated the moderating effects of demographic factors on the relationships between independent variables and AV adoption intention. Two models were proposed and estimated using a total of 1831 survey responses in China. The psychology-related and policy-related models explained 62.2% and 33.6% of the variance in AV adoption intention, respectively. The results suggest that perceived playfulness (β = 0.524, p < 0.001) and information dissemination (β = 0.348, p < 0.001) are the most important influencing factors of AV adoption intention. In addition, demographic factors (gender, education, income, the number of private cars owned by a family, and types of cities) can moderate the effects of psychological factors and policy measures on user intentions to adopt an AV. These insights can be employed to design more cost-effective policies and strategies for subgroups of the population to maximize the AV adoption intention.

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Section: Financial Incentivizationmentioning

confidence: 99%

Determinants and the Moderating Effects of Individual Characteristics on Autonomous Vehicle Adoption in China

Tang

Wang

et al. 2022

IJERPH

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“…Evidence from the Netherlands recommends that financial support is useful for attracting consumers [79]. Another international study based on data from 14 regions reported a positive association between incentive policies and sales [80]. Accordingly, the intention to adopt EVs for motorcyclists is expected to be boosted by a financial incentive policy.…”

Section: Financial Incentive Policymentioning

confidence: 99%

Investigation of Influential Factors of Intention to Adopt Electric Vehicles for Motorcyclists in Vietnam

Nguyen

et al. 2023

Sustainability

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(1) Background and aims: The exploration of the intention to adopt electric vehicles has been intensively studied in developed countries where passenger cars are the most common private motorized vehicle. However, the same is not true for motorcycle-dependent countries such as Vietnam. This study aimed to advance our understanding of the determinants of motorcyclists’ intention to use electric vehicles (i.e., electric passenger cars) in settings where the motorcycle is the dominant mode. (2) Data and methods: The partial least squares structural equation modeling (PLS-SEM) and the data from 330 motorcycle owners in Hanoi, Vietnam, were utilized to empirically test a research framework formulated based on the push–pull–mooring migration model. (3) Results: The results indicated that the push factor was formulated by safety concerns and environmental concerns while the pull factor was established by perceived usefulness, perceived ease of use, and financial incentive policy. Both the push factor and the pull factor significantly contributed to the adoption intention but the effect of the latter was stronger. Knowledge did not affect the intention; however, it moderated the link between the pull factor and the intention. For the respondents with a higher level of knowledge, the positive impact of the pull factor on the intention was lower (compared to those with a lower level of knowledge). (4) Conclusions: Based on the findings of the associated factors, policy implications were suggested to increase the prevalence of electric vehicles. Although the theoretical and practical contributions of this study may be significant to the literature regarding developing countries, more research is needed to validate and extend them.

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“…Previous studies have demonstrated that financial incentive policies have an inconsistent impact on consumers' intention to adopt EVs. Li et al (2015) found that government financial incentives are indispensable in the development of EV and M€ unzel et al (2019) found that financial incentives would positively influence EV adoption. However, Diamond (2009) found that government incentives have a weak effect on consumer adoption of EV and Wang et al (2019) found that government subsidies are not the reason for huge difference in EV adoption.…”

Section: Financial Incentives and Electric Car Adoption Intentionmentioning

confidence: 99%

Influence of government financial incentives on electric car adoption: empirical evidence from India

Ansab

Kumar

2022

SAJBS

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PurposeElectric cars have very little market share in developing countries despite their environmental benefits. Thus, governments have started promoting electric cars by providing financial incentives to consumers. The current article aims to examine the direct and indirect effects of government financial incentives on consumer electric car adoption in India.Design/methodology/approachThe study followed a quantitative research method that employed a self-administered survey questionnaire. Structural Equation Modelling and Multi-Group Analysis were followed for data analysis.FindingsThe study revealed that financial incentives have an indirect effect on electric car adoption intention rather than a direct effect. In addition, financial incentives were found to have a direct effect on attitude and Perceived Behavioural Control (PBC). Attitude and PBC positively influenced consumer adoption intention.Practical implicationsThe insights and implications from the present study would help policymakers and marketers to formulate better incentive policies and market strategies to increase consumer acceptance of electric cars in developing countries.Originality/valueThe study contributes to the literature by analysing the underlying mechanism that links government financial incentives to electric car adoption intention. This study also explored the direct effect of financial incentives on attitude and PBC, which are less investigated in electric vehicle literature. In addition, the present article also assessed the moderating role of age in electric car adoption, which has mixed evidence in the literature, and such studies are scarce in the Indian context.

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Factors affecting the electric vehicle demonstration: 14 international cities/regions cases

Cited by 5 publications

References 1 publication

Determinants and the Moderating Effects of Individual Characteristics on Autonomous Vehicle Adoption in China

Determinants and the Moderating Effects of Individual Characteristics on Autonomous Vehicle Adoption in China

Investigation of Influential Factors of Intention to Adopt Electric Vehicles for Motorcyclists in Vietnam

Influence of government financial incentives on electric car adoption: empirical evidence from India

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