Effect of environmental awareness on purchase intention and satisfaction pertaining to electric vehicles in Japan

Okada, T.; Tamaki, Tetsuya; Managi, Shunsuke

doi:10.1016/j.trd.2019.01.012

Cited by 146 publications

(63 citation statements)

References 37 publications

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“…Income, level of education, and the number of charging stations per capita have been shown to be significant factors in adoption and, by contrast, age, gender, and employment have been found to be insignificant [24]. Concern about the environment may be more likely to favor the purchase of an electric vehicle as electric vehicles have low tailpipe exhausts [25].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Uptake of Hybrid and Electric Vehicles in the European Union

Christidis

Focas

2019

Energies

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This paper explores the factors affecting the uptake of hybrid and electric vehicles in the European Union (EU) using data from two extensive cross-sectional surveys. Each survey consists of 26,500 responses to a questionnaire that combines socio-economic and behavioral aspects. The share of respondents across the EU stating that they would certainly or probably consider purchasing a hybrid or a battery-powered electric vehicle (H&EV) in the near future rose from 32% in 2014 to 37.4% in 2018. There is, however, a high variability among EU member states, as well as across different socio-economic groups. Propensity is highly correlated with income, educational attainment, and urbanization level. In order to address the high degree of collinearity, we applied a machine learning classification model to analyze and explain the interaction between the variables that affected the expressed propensity to purchase such a vehicle. The findings highlight something largely missing from the literature, namely that local conditions and regional variation are a major, if not decisive, factor regarding purchasing choices. Seen from a policy perspective, this conclusion may provide guidance regarding how to support the take up of H&EVs through measures that are tailored to the specific needs at the local level.

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Section: Introductionmentioning

confidence: 99%

Factors Affecting the Uptake of Hybrid and Electric Vehicles in the European Union

Christidis

Focas

2019

Energies

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“…Abundant studies have shown that consumer demand is not only related to itself, but also government policies and supplier service levels, etc. [19,21]. The uncertainty of consumer demand will bring about a whole string of shock to the supply chain, and it will also impose higher requirements on the flexible production capacity of each node company.…”

Section: Demand Volatility Risk (E14)mentioning

confidence: 99%

“…Okada and many other scholars analyzed the market demand of new energy vehicles from various perspectives, including perception, personality, and environmental awareness, etc. [19][20][21]. Nowadays, electrification, networking, intelligence, and sharing are becoming the development currents of automobile industry, which will lead to enormous changes in the structure of the supply chain and suppliers.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China

Yan

Zhang

et al. 2020

Sustainability

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In order to protect the environment and reduce energy consumption, new energy vehicles have begun to be vigorously promoted in various countries. In recent years, the rise of intelligent technology has had a great impact on the supply chain of new energy vehicles, which, coupled with the complexity of the supply chain itself, puts it at great risk. Therefore, it is quite indispensable to evaluate the risk of the new energy vehicle supply chain. This paper assesses the risks faced by China’s new energy vehicle supply chain in this period of technological transformation. First of all, this paper establishes an evaluation criteria system of 16 sub-criterion related to three dimensions: the market risk, operational risk, and the environmental risk. Then, variable weight theory is proposed to modify the constant weight obtained by the fuzzy analytic hierarchy process (FAHP). Finally, a risk assessment of China’s new energy vehicle supply chain is carried out by combining the variable weight and the cloud model. This method can effectively explain the randomness of matters, and avoid the influence of value abnormality on the criteria system. The results show that China’s new energy vehicle supply chain is at a high level. Through the identification of risk factors, mainly referring to the low clustering risk, technical level risk and information transparency risk, this paper can provide a risk prevention reference for corresponding enterprises.

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“…This paper will use SEM and MNL models to test the above assumptions [19,20,23,[33][34][35][36][37]. On the basis of verifying the influence path of attitude, subjective norm, and perceived behavior control on purchase intention, we will use the MNL model to further study the impact of positive and negative attributes as intermediate variables on actual purchasing behavior.…”

Section: H1mentioning

confidence: 99%

“…It subdivides consumers and makes a differential analysis of the role of environmental awareness. A clear distinction to the relation by using SEM makes it more logical [19]. Dooyoung Choi et al extended the TPB (Theory of Planned Behavior) theory and found that only attitude and subjective norm can satisfactorily influence the purchasing tendency of green products.…”

Section: Introductionmentioning

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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Effect of environmental awareness on purchase intention and satisfaction pertaining to electric vehicles in Japan

Cited by 146 publications

References 37 publications

Factors Affecting the Uptake of Hybrid and Electric Vehicles in the European Union

Factors Affecting the Uptake of Hybrid and Electric Vehicles in the European Union

Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China

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

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