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Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau

doi: 10.3390/su70912564
This study examines the factors that influence individual intentions towards the adoption of full electric vehicles. A sample including 308 respondents was collected on the streets of Macau. The collected data were analysed by confirmatory factor analysis and structural equation modelling. The results demonstrate that environmental concerns and the perception of environmental policy are antecedent factors of the perception of full electric vehicles, which influences the behavioural intention to purchase full electric vehicles. This study also finds that the perception of economic benefit is one of the key factors influencing the adoption of full electric vehicles. Vehicle operators seek economic benefits from future long-term fuel savings, high energy efficiency, and cheap electricity. Thus, a government striving to promote low-carbon transportation needs to scale up its efforts to enhance citizens’ environmental concerns and to establish proper environmental policy as well as to provide long-term financial and strategic support for electric vehicles.
- Northwestern State University United States
- Northeastern University China (People's Republic of)
- Caritas Institute of Higher Education China (People's Republic of)
- Caritas Institute of Higher Education Hong Kong
- Caritas Institute of Higher Education China (People's Republic of)
Environmental effects of industries and plants, environmental concern, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, environmental policy, GE1-350, consumer acceptance, electric vehicles
Environmental effects of industries and plants, environmental concern, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, environmental policy, GE1-350, consumer acceptance, electric vehicles
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).108 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
