Electric vehicle purchase intentions of Chinese, Russian and Brazilian citizens: An international comparative study

Habich-Sobiegalla, Sabrina; Kostka, Genia; Anzinger, Niklas

doi:10.1016/j.jclepro.2018.08.318

Cited by 90 publications

(60 citation statements)

References 38 publications

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“…Many previous studies on EV revealed that consumers' adoption depends on psychological factors like attitudes, environmental concern, awareness, symbolism, self-identity, emotional responses, and diffusion of innovation [19]. Habich-Sobiegalla et al ( 2018) developed the research framework using both micro-level, macro-level, and product-level factors that influence purchase intention [20]. Most of the previous research studies included socio-demographic characteristics and micro-, macro-, and product-level factors that affect intention to adopt EV [20].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Habich-Sobiegalla et al ( 2018) developed the research framework using both micro-level, macro-level, and product-level factors that influence purchase intention [20]. Most of the previous research studies included socio-demographic characteristics and micro-, macro-, and product-level factors that affect intention to adopt EV [20]. Some of the socio-demographic variables included in their study were age, gender, education, and environmental concerns.…”

Section: Literature Reviewmentioning

confidence: 99%

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Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers

Jayasingh¹,

Girija²,

Sivakumar

2021

Sustainability

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The demand for electric vehicles (EVs) has significantly increased in recent years, but it represents only a tiny percentage of the total new vehicles sold globally. In 2021, the total sales of electric two-wheelers were less than 1% only. Therefore, the adoption of an electric two-wheeler (E2W) needs to be studied. This research develops a behavioral electric two-wheelers adoption intention model. The present study aimed to identify the factors that influence consumers’ intentions to adopt electric two-wheelers. The questionnaire method was employed, and 182 valid responses were collected. The partial least squares structural equation modeling (PLS-SEM) was used to test the research hypothesis. The empirical results indicate that environmental concern, perceived economic benefit, charging infrastructure, and social influence significantly impact consumers’ attitudes towards electric two-wheelers. Attitude also significantly affects the consumer’s intention to purchase an electric two-wheeler. Perceived economic benefits were found to be the main factor influencing consumers to purchase electric two-wheelers. The findings of this research also show that women are more inclined towards purchasing electric two-wheelers than men. These results offer useful information for governments and electric-two-wheelers companies to gain a better understanding of consumer behavior towards purchasing electric two-wheelers.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers

Jayasingh¹,

Girija²,

Sivakumar

2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…Although the widespread use of electric vehicles is not a reality in Brazil, possibly nor in any other country than China due to government policies, 43 EV market in the country is growing. Studies such as Habich‐Sobiegalla et al 44 highlighted that Brazilians have high intention to purchase EVs, especially when close acquaintances own an EV model. High prices might still be the main hurdle for the acquisition of EVs and higher penetration onto the Brazilian market 45,46 …”

Section: Methodsmentioning

confidence: 99%

Techno‐economic feasibility study on electric vehicle and renewable energy integration: A case study

et al. 2020

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This work simulated the economic viability of electric vehicles (EVs) and renewable energy charging integration at a university campus. Homer energy simulation software was used to determine the optimal solution for the power loading, energy dispatch, and economic feasibility of each electricity source. Three scenarios were considered: case 1 (C1) is the baseline that provided the electric parameters considering a grid without renewable energy integration; case 2 (C2) is the addition of solar and wind systems supplying power to the grid and EVs; case 3 (C3) is the same conditions as C2, but EVs operate on vehicle-to-grid (V2G) scheme supplying energy to grid. Economic output solutions were classified according to the lowest net present value (NPV). The V2G mechanism considered on the C3 offered conditions that decreased the costs of operation of the system, estimating the lowest NPV among the options analyzed. In C2, the simulations recorded higher costs due to the system operation associated with extra local load to power the EVs. In both C2 and C3 scenarios, EVs aided the renewable energy sources' penetration on the system; however, the operation of EVs on a V2G mechanism contributed to the highest rate of renewable energy penetration.

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“…The five-point Likert scale was used in the questionnaire: 5, 4, 3, 2, and 1 respectively represent "strongly agree", "agree", "uncertain", "disagree", and "strongly disagree". The contents used for measurement were designed on the basis of previous studies [38][39][40][41][42][43][44]. On the strength of the latest research, we expand the observation variables of subjective norm and perceived behavior control, which are not limited to previous questionnaires.…”

Section: Data Collection and Demographic And Socio-economic Charactementioning

confidence: 99%

Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model

Qin

Zhang

et al. 2019

Sustainability

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At present, electric cars are being developed rapidly in China as emerging carbon emission reduction vehicles, but their proportion in the Chinese automobile market is still small, and a large number of potential consumers are still holding a wait-and-see attitude. Therefore, for the sake of promoting the further development of electric cars in China, this paper based on the TPB (Theory of Planned Behavior) theoretical research framework, investigates potential consumers in typical areas of Beijing and collects a large amount of data through the design of paper and electronic questionnaires. SEM (Structural Equation Modeling) and MNL (Multinomial Logit Model) models are used to analyze key factors affecting consumers’ purchase intention and actual purchasing behavior. The results show that the positive and negative attributes of consumers’ attitude, subjective norm, and perceived behavior control will have different effects on consumers’ actual purchasing behavior. Finally, based on the analysis results, some reasonable suggestions are proposed for the government and EV (Electric Vehicles) enterprise service providers to increase electric vehicle diffusion.

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Electric vehicle purchase intentions of Chinese, Russian and Brazilian citizens: An international comparative study

Cited by 90 publications

References 38 publications

Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers

Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers

Techno‐economic feasibility study on electric vehicle and renewable energy integration: A case study

Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model

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