Predicting the Intention to Purchase Electric Vehicles in South Africa
Abstract
One of the major contributors to the relatively high levels of Greenhouse gas emissions in South Africa is road transportation. Electric vehicles (EVs) have been proposed as one of the solutions to this problem. However, the use of EVs is very limited in South Africa. Drawing on the Theory of Planned Behaviour (TPB), the study investigated the predictors of the intention to purchase EVs in South Africa. The study extended the TPB by adding three individual constructs (environmental consciousness, anticipated guilt and response efficacy) and two situational constructs (perceived benefits and perceived barriers). The cross-sectional survey method was used for data collection in a quantitative study. Descriptive statistics and structural equation modelling were used for data analysis. The results showed significant positive relationships between two TPB constructs (attitude and perceived behavioral control) and EV purchase intention. In addition, the effects of the environmental consciousness, response efficacy, perceived benefits and barriers are significant. Theoretically, the study extended the TPB to develop a model of EV purchase intention from the South African perspective. Empirically, the study added to the body of literature on the determinants of EV purchase intention. Practically, recommendations to improve the purchase of EVs are suggested.
References
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[20] Greaves, M., Zibarras, L. and Stride, C. 2013. Using the theory of planned behaviour to explore environmental behavioural intentions in the workplace. Journal of Environmental Psychology, 34: 109-120. DOI: https://doi.org/10.1016/j.jenvp.2013.02.003
[21] Ha, H.Y. and Janda, S. 2014. The effect of customized information on online purchase intentions. Internet Res, 24(4): 496-519. DOI: https://doi.org/10.1108/IntR-06-2013-0107
[22] Habich-Sobiegalla, S., Kostka, G. and Anzinger, N. 2019. Citizens’ electric vehicle purchase intentions in China: An analysis of micro-level and macro-level factors. Transport Policy, 79: 223-233. DOI:https://doi.org/10.1016/j.tranpol.2019.05.008
[23] Hair, J., Risher, J.J., Sarsstedt, M. and Ringle CM. 2019. When to use and how to report the results of PLS-SEM. European Business Review, 31: 2-24. DOI: https://doi.org/10.1108/EBR-11-2018-0203
[24] Haustein, S. and Jensen, A. F. 2018. Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behaviour. International Journal of Sustainable Transportation, 12(7): 484-496. DOI: https://doi.org/10.1080/15568318.2017.1398790
[25] He, X., Zhan, Y., and Hu, Y. 2018. Consumer purchase intention of electric vehicles in China: The roles of perception and personality. Journal of Cleaner Production, 204: 1060-1069. DOI:https://doi.org/10.1016/j.jclepro.2018.08.260
[26] Henseler, J., Ringle, C.M. and Sarstedt, M. 2015. A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1): 115–135. DOI: https://doi.org/10.1007/s11747-014-0403-8
[27] Heyvaert, S., Coosemans, T., Van Mierlo, J. and Macharis, C. 2015. Electric vehicle attitudes and purchase intention: a Flemish case study. International Journal of Electric and Hybrid Vehicles, 7(1): 83-100. DOI: 10.1504/IJEHV.2015.068946
[28] Hidrue M., Parsons G., Kempton W. and Gardner, M. 2011. Willingness to pay for electric vehicles and their attributes. Resource and Energy Economics, 33: 686-705. DOI: https://doi.org/10.1016/j.reseneeco.2011.02.002
[29] Higueras-Castillo, E., Molinillo, S., Coca-Stefaniak, J. and Liébana-Cabanillas, F. 2019. Perceived Value and Customer Adoption of Electric and Hybrid Vehicles, Sustainability, 11(8): 1-15. DOI: 10.3390/su11184956
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[31] Huhmann B.A., and Brotherton, T.P. 1997. A content analysis of guilt appeals in popular magazine advertisements. Journal of Advertising, 26(2): 35–45. DOI: https://doi.org/10.1080/00913367.1997.10673521
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[33] Joshi, Y. and Rahman, Z. 2015. Factors Affecting Green Purchase Behaviour and Future Research Directions. Tech Ana and Stra Management, 3(2):1-16. DOI: https://doi.org/10.1016/j.ism.2015.04.001
[34] Kabadayi, E. T., Dursun, I., Alan, A. and Tuger, T. 2015. Green purchase intention of young Turkish consumers: Effects of consumers’ guilt, self-monitoring and perceived consumer effectiveness. Proc-Soc and Beha Sci, 207: 165–174. DOI: https://doi.org/10.1016/j.sbspro.2015.10.167
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Published
2021-02-21
How to Cite
FATOKI, Olawale.
Predicting the Intention to Purchase Electric Vehicles in South Africa.
Journal of Environmental Management and Tourism, [S.l.], v. 12, n. 1, p. 81 - 96, feb. 2021.
ISSN 2068-7729.
Available at: <https://journals.aserspublishing.eu/jemt/article/view/5883>. Date accessed: 05 nov. 2024.
doi: https://doi.org/10.14505/jemt.v12.1(49).07.
Section
Article
Copyright© 2024 The Author(s). Published by ASERS Publishing 2024. This is an open access article distributed under the terms of CC-BY 4.0 license.