IDEAS home Printed from https://ideas.repec.org/a/zib/zbmecj/v8y2023i1p36-39.html
   My bibliography  Save this article

Driving Green: Assessing The Purchasing Intentions Of South African Consumers Toward Electric Vehicle Adoption

Author

Listed:
  • Thulani M. Mashaba

    (Graduate School of Business Administration, Wits Business School, University of the Witwatersrand South Africa)

Abstract

This study investigates the intentions of South African middle to high-income consumers towards purchasing battery electric vehicles (BEVs) against the backdrop of a global shift towards sustainable mobility. Utilizing the Theory of Planned Behaviour to examine the interplay of attitudes, subjective norms, and perceived behavioural control, this research highlights the growing consumer interest in BEVs despite limited market share and firsthand experience. The study’s quantitative approach, employing a self-completion questionnaire and leveraging constructs validated in prior research, reveals that attitudes, subjective norms, perceived behavioural control, and environmental concerns are significant predictors of BEV purchase intentions. The findings underscore the significance of subjective norms as the most influential predictor of purchase intentions, followed closely by environmental concerns, suggesting that social influence and environmental awareness play critical roles in shaping consumer behavior towards BEVs in South Africa. This research contributes to the understanding of consumer attitudes towards BEVs in a South African context, offering insights for businesses and policymakers to drive adoption and align strategies with consumer preferences and environmental goals. Future research is recommended to explore longitudinal changes in consumer intentions and actual BEV purchasing behavior, expanding the model with additional constructs to reflect evolving market dynamics.

Suggested Citation

  • Thulani M. Mashaba, 2023. "Driving Green: Assessing The Purchasing Intentions Of South African Consumers Toward Electric Vehicle Adoption," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 8(1), pages 36-39, January.
  • Handle: RePEc:zib:zbmecj:v:8:y:2023:i:1:p:36-39
    DOI: 10.26480/mecj.01.2023.36.39
    as

    Download full text from publisher

    File URL: https://myecommerecejournal.com/wp-content/uploads/2024-issue1/1mecj2024-36-39.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26480/mecj.01.2023.36.39?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    2. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhihui Wang & Liangzhen Nie & Eila Jeronen & Lihua Xu & Meiai Chen, 2023. "Understanding the Environmentally Sustainable Behavior of Chinese University Students as Tourists: An Integrative Framework," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    2. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    3. Kumar, Vikas & Kaushik, Arun Kumar & Noravesh, Farima & Sindhwani, Rahul & Mathiyazhagan, K., 2025. "Green drives: Understanding how environmental propensity, range and technological anxiety shape electric vehicle adoption intentions," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    4. Sara Sousa & Elisabete Correia & Clara Viseu, 2024. "Exploring Portuguese Consumers’ Behavior Regarding Sustainable Wine: An Application of the Theory of Planned Behavior," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    5. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    6. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    7. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    8. Muhammad Yaseen Bhutto & Yasir Ali Soomro & Hailan Yang, 2022. "Extending the Theory of Planned Behavior: Predicting Young Consumer Purchase Behavior of Energy-Efficient Appliances (Evidence From Developing Economy)," SAGE Open, , vol. 12(1), pages 21582440221, February.
    9. Long, Xingle & Chen, Yaqiong & Du, Jianguo & Oh, Keunyeob & Han, Insoo, 2017. "Environmental innovation and its impact on economic and environmental performance: Evidence from Korean-owned firms in China," Energy Policy, Elsevier, vol. 107(C), pages 131-137.
    10. Ming (Bryan) Wang & Li Zhao & Abigail L. Cochran, 2024. "Sentiments of Rural U.S. Communities on Electric Vehicles and Infrastructure: Insights from Twitter Data," Sustainability, MDPI, vol. 16(11), pages 1-17, June.
    11. Shah, Sayed Kifayat & Zhongjun, Tang & Sattar, Abdul & XinHao, Zhou, 2021. "Consumer's intention to purchase 5G: Do environmental awareness, environmental knowledge and health consciousness attitude matter?," Technology in Society, Elsevier, vol. 65(C).
    12. Jinkyung Jenny Kim & Heesup Han, 2022. "Hotel Service Innovation with Smart Technologies: Exploring Consumers’ Readiness and Behaviors," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    13. Chien-Chi Lin & Chih-Ming Dong, 2023. "Exploring Consumers’ Purchase Intention on Energy-Efficient Home Appliances: Integrating the Theory of Planned Behavior, Perceived Value Theory, and Environmental Awareness," Energies, MDPI, vol. 16(6), pages 1-16, March.
    14. Chuanhui Liao & Hui Li, 2019. "Environmental Education, Knowledge, and High School Students’ Intention toward Separation of Solid Waste on Campus," IJERPH, MDPI, vol. 16(9), pages 1-15, May.
    15. Liu, Hu-Chen & You, Xiao-Yue & Xue, Yi-Xi & Luan, Xue, 2017. "Exploring critical factors influencing the diffusion of electric vehicles in China: A multi-stakeholder perspective," Research in Transportation Economics, Elsevier, vol. 66(C), pages 46-58.
    16. Andriosopoulos, Kostas & Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2018. "The impact of age on Italian consumers' attitude toward alternative fuel vehicles," Renewable Energy, Elsevier, vol. 119(C), pages 299-308.
    17. Secinaro, Silvana & Calandra, Davide & Lanzalonga, Federico & Ferraris, Alberto, 2022. "Electric vehicles’ consumer behaviours: Mapping the field and providing a research agenda," Journal of Business Research, Elsevier, vol. 150(C), pages 399-416.
    18. Hu, Xianfeng & Wang, Shanyong & Zhou, Rongting & Gao, Lan & Zhu, Zujun, 2023. "Policy driven or consumer trait driven? Unpacking the EVs purchase intention of consumers from the policy and consumer trait perspective," Energy Policy, Elsevier, vol. 177(C).
    19. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Determinants of adoption intention of battery swap technology for electric vehicles," Energy, Elsevier, vol. 251(C).
    20. Tian, Lijun & Cui, Shuang & Huang, Haijun & Xu, Yan & Wang, Yacan, 2024. "How the norm activation model explains the individuals’ response to Tradable Credit Schemes and reducing car use," Transport Policy, Elsevier, vol. 155(C), pages 208-223.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbmecj:v:8:y:2023:i:1:p:36-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing The email address of this maintainer does not seem to be valid anymore. Please ask Zibeline International Publishing to update the entry or send us the correct address (email available below). General contact details of provider: http://myecommerecejournal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.