Citizens’ electric vehicle purchase intentions in China: An analysis of micro-level and macro-level factors

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

doi:10.1016/j.tranpol.2019.05.008

Cited by 66 publications

(34 citation statements)

References 39 publications

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“…In addition, social and natural conditions, such as the development structure and topography, also affect consumers’ attitude towards green products. Habich-Sobiegalla et al [ 118 ] analyzed the purchase intention of Chinese residents for electric vehicles from the macro and micro levels. China has a vast territory where there are great differences in the development structure and economic conditions among regions.…”

Section: Discussionmentioning

confidence: 99%

“…However, the formation of consumer values is closely related to their living environment, because we all live in groups, which indicates that individual factors and product attributes cannot fully explain the consumer attitude behavior gap. Therefore, scholars have included more macro factors, such as the social development, production structure, and culture, in their research [ 80 , 118 ]. The authors classify the influencing factors involved in empirical articles into three categories: individual factors, products attributes and marketing, and social influence ( Figure 5 ), and they discuss them in detail.…”

Section: Discussionmentioning

confidence: 99%

“…Liobikiene et al [ 88 ] found that compared with men, women are more likely to care about other people’s lives and are more willing to buy green products. However, some studies have shown that gender does not have a direct impact on green purchase, and there was no significant effect between attitude, perceived behavioral control, subjective norm, and green purchases when gender was taken into account as a mediator [ 14 , 35 , 58 , 118 ]. According to the results of the study on the purchase intention in respect of electric vehicles, middle-aged people aged 35–49 have the highest purchase intention, while those younger than 19 years old have the lowest [ 118 ].…”

Section: Discussionmentioning

confidence: 99%

“…However, some studies have shown that gender does not have a direct impact on green purchase, and there was no significant effect between attitude, perceived behavioral control, subjective norm, and green purchases when gender was taken into account as a mediator [ 14 , 35 , 58 , 118 ]. According to the results of the study on the purchase intention in respect of electric vehicles, middle-aged people aged 35–49 have the highest purchase intention, while those younger than 19 years old have the lowest [ 118 ]. What causes this may be that most middle-aged people are the main source of the family income, so they pay a lot of attention to the purchase cost and quality of products when purchasing goods.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Why Do Consumers Make Green Purchase Decisions? Insights from a Systematic Review

Zhang

Dong

2020

IJERPH

162

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In order to achieve sustainable development to protect the environment and society, an increasing number of scholars have conducted in-depth research on green marketing and green purchases. Although great achievements have been made in this field, there still is room for further progress. This study reviews 97 papers providing empirical research on green purchase behavior from 2015 to 2020. First, we review the widely used consumer theory and its extended application in recent years. Second, we divide the influencing factors of green purchase behavior into the following three categories and discuss them in detail: individual factors, product attributes and marketing, and social factors. Finally, we put forward the following possible directions for future research. (1) The authors can consider adjustment to the survey objects to weaken the subjectivity of the data. (2) Longitudinal research can be used to assess the impact of education and policies with a lagging effect on consumers. (3) The authors can broaden the research direction towards a cross-cultural background. (4) The behavior of various green products (such as recyclable tires, recycled glass containers, recycled paper) could be explored to enrich the research content. (5) It will be beneficial to combine a variety of consumer theories to explore the green purchase behavior of consumers and break through the existing linear hypothesis path to explore new research methods.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Why Do Consumers Make Green Purchase Decisions? Insights from a Systematic Review

Zhang

Dong

2020

IJERPH

162

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show abstract

“…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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Cultural Differences-Induced Mistakes in Driving Behaviour: An Opportunity to Improve Traffic Policy and Infrastructure

Linkov

Zámečník

2020

Mistakes, Errors and Failures Across Cultures

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Citizens’ electric vehicle purchase intentions in China: An analysis of micro-level and macro-level factors

Cited by 66 publications

References 39 publications

Why Do Consumers Make Green Purchase Decisions? Insights from a Systematic Review

Why Do Consumers Make Green Purchase Decisions? Insights from a Systematic Review

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

Cultural Differences-Induced Mistakes in Driving Behaviour: An Opportunity to Improve Traffic Policy and Infrastructure

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