IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4594-d1404299.html
   My bibliography  Save this article

The Electric Vehicle Market in Brazil: A Systematic Literature Review of Factors Influencing Purchase Decisions

Author

Listed:
  • Marceli Adriane Schvartz

    (Graduate Program in Production Engineering, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, RS, Brazil)

  • Amanda Lange Salvia

    (Graduate Program in Civil and Environment Engineering, University of Passo Fundo, Campus I-BR 285, Passo Fundo 99052-900, RS, Brazil
    European School of Sustainability Science and Research, Hamburg University of Applied Sciences, Ulmenliet 20, 21033 Hamburg, Germany)

  • Luciana Londero Brandli

    (Graduate Program in Civil and Environment Engineering, University of Passo Fundo, Campus I-BR 285, Passo Fundo 99052-900, RS, Brazil)

  • Walter Leal Filho

    (European School of Sustainability Science and Research, Hamburg University of Applied Sciences, Ulmenliet 20, 21033 Hamburg, Germany
    Department of Natural Sciences, Manchester Metropolitan University, Chester Street, Manchester M11 5GD, UK)

  • Lucas Veiga Avila

    (Graduate Program in Production Engineering, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, RS, Brazil)

Abstract

Technological advancement has propelled global economic growth, but it has also led to high rates of pollution emissions, underscoring the urgency of environmental issues. The transportation sector, particularly the rise in individual vehicle ownership, significantly contributes to atmospheric pollution. In this context, Brazil faces growing challenges, largely due to the high number of individual motor vehicles. Transitioning to electric vehicles (EVs) is seen as a sustainable alternative to reduce emissions of polluting gases. However, it is important to consider that EVs may indirectly generate pollution due to energy production in thermal power plants. Nevertheless, EVs are often sought by countries to reduce dependence on imported fuels and to mitigate urban pollution. This study aims to understand the factors influencing the purchase decision of EVs in Brazil through a systematic literature review and validation by specialists using the fuzzy Delphi method. The results indicate 37 variables, grouped into five main blocks: psychological factors, performance factors, environmental factors, barriers, and prospects for the automotive sector. The validation of these variables by specialists provides a solid foundation for the next stage of the research, which involves administering the questionnaire to the general community. Considering these results will lead to strategies aimed at promoting EV adoption, in line with global sustainability challenges and the reduction in CO 2 emissions.

Suggested Citation

  • Marceli Adriane Schvartz & Amanda Lange Salvia & Luciana Londero Brandli & Walter Leal Filho & Lucas Veiga Avila, 2024. "The Electric Vehicle Market in Brazil: A Systematic Literature Review of Factors Influencing Purchase Decisions," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4594-:d:1404299
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4594/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4594/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhaohua Wang & Xiaoyang Dong, 2016. "Determinants and policy implications of residents’ new energy vehicle purchases: the evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 155-173, May.
    2. Ma, Shao-Chao & Fan, Ying, 2020. "A deployment model of EV charging piles and its impact on EV promotion," Energy Policy, Elsevier, vol. 146(C).
    3. Nian, Victor & Hari, M.P. & Yuan, Jun, 2019. "A new business model for encouraging the adoption of electric vehicles in the absence of policy support," Applied Energy, Elsevier, vol. 235(C), pages 1106-1117.
    4. Yueling Xu & Wenyu Zhang & Haijun Bao & Shuai Zhang & Ying Xiang, 2019. "A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    5. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    6. Jui-Che Tu & Chun Yang, 2019. "Key Factors Influencing Consumers’ Purchase of Electric Vehicles," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    7. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    8. Yu, Xiao & Sandhu, Navjot S. & Yang, Zhenyi & Zheng, Ming, 2020. "Suitability of energy sources for automotive application – A review," Applied Energy, Elsevier, vol. 271(C).
    9. Qingyou Yan & Guangyu Qin & Meijuan Zhang & Bowen Xiao, 2019. "Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    10. Danielis, Romeo & Giansoldati, Marco & Rotaris, Lucia, 2018. "A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy," Energy Policy, Elsevier, vol. 119(C), pages 268-281.
    11. Gulnaz Ivanova & António Carrizo Moreira, 2023. "Antecedents of Electric Vehicle Purchase Intention from the Consumer’s Perspective: A Systematic Literature Review," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    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. Kathrin Monika Buhmann & Josep Rialp-Criado & Alex Rialp-Criado, 2024. "Predicting Consumer Intention to Adopt Battery Electric Vehicles: Extending the Theory of Planned Behavior," Sustainability, MDPI, vol. 16(3), pages 1-24, February.
    2. Gulnaz Ivanova & António Carrizo Moreira, 2023. "Antecedents of Electric Vehicle Purchase Intention from the Consumer’s Perspective: A Systematic Literature Review," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    3. Zhou, Min & Long, Piao & Kong, Nan & Zhao, Lindu & Jia, Fu & Campy, Kathryn S., 2021. "Characterizing the motivational mechanism behind taxi driver’s adoption of electric vehicles for living: Insights from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 134-152.
    4. Pedro Gerber Machado & Ana Carolina Rodrigues Teixeira & Edmilson Moutinho dos Santos & Dominique Mouette, 2023. "Electric vehicles adoption: A systematic review (2016–2020)," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(5), September.
    5. Chun Yang & Jui-Che Tu & Qianling Jiang, 2020. "The Influential Factors of Consumers’ Sustainable Consumption: A Case on Electric Vehicles in China," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    6. Qiu, Y.Q. & Tsan Sheng Ng, Adam & Zhou, P., 2022. "Optimizing urban electric vehicle incentive policy mixes in China: Perspective of residential preference heterogeneity," Applied Energy, Elsevier, vol. 313(C).
    7. Ruyu Xie & Liren An & Nosheena Yasir, 2022. "How Innovative Characteristics Influence Consumers’ Intention to Purchase Electric Vehicle: A Moderating Role of Lifestyle," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    8. Adu-Gyamfi, Gibbson & Song, Huaming & Asamoah, Ama Nyarko & Li, Liang & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Towards sustainable vehicular transport: Empirical assessment of battery swap technology adoption in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    9. Scorrano, Mariangela & Danielis, Romeo & Giansoldati, Marco, 2020. "Dissecting the total cost of ownership of fully electric cars in Italy: The impact of annual distance travelled, home charging and urban driving," Research in Transportation Economics, Elsevier, vol. 80(C).
    10. Wang, Yitong & Fan, Ruguo & Du, Kang & Bao, Xuguang, 2023. "Exploring incentives to promote electric vehicles diffusion under subsidy abolition: An evolutionary analysis on multiplex consumer social networks," Energy, Elsevier, vol. 276(C).
    11. Wu, Zezhou & He, Qiufeng & Li, Jiarun & Bi, Guoqiang & Antwi-Afari, Maxwell Fordjour, 2023. "Public attitudes and sentiments towards new energy vehicles in China: A text mining approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    12. Yang, Shu & Cheng, Peng & Li, Jun & Wang, Shanyong, 2019. "Which group should policies target? Effects of incentive policies and product cognitions for electric vehicle adoption among Chinese consumers," Energy Policy, Elsevier, vol. 135(C).
    13. Gulzari, Adeela & Wang, Yuchen & Prybutok, Victor, 2022. "A green experience with eco-friendly cars: A young consumer electric vehicle rental behavioral model," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    14. Zulfiqar Ali Lashari & Joonho Ko & Seunghyun Jung & Sungtaek Choi, 2022. "Choices of Potential Car Buyers Regarding Alternative Fuel Vehicles in South Korea: A Discrete Choice Modeling Approach," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    15. Gábor Horváth & Attila Bai & Sándor Szegedi & István Lázár & Csongor Máthé & László Huzsvai & Máté Zakar & Zoltán Gabnai & Tamás Tóth, 2023. "A Comprehensive Review of the Distinctive Tendencies of the Diffusion of E-Mobility in Central Europe," Energies, MDPI, vol. 16(14), pages 1-29, July.
    16. Chang, Tai-Wei, 2023. "An indispensable role in promoting the electric vehicle Industry: An empirical test to explore the integration framework of electric vehicle charger and electric vehicle purchase behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    17. Cui, Lixin & Wang, Yonggui & Chen, Weiming & Wen, Wen & Han, Myat Su, 2021. "Predicting determinants of consumers' purchase motivation for electric vehicles: An application of Maslow's hierarchy of needs model," Energy Policy, Elsevier, vol. 151(C).
    18. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2020. "Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model," Energy Policy, Elsevier, vol. 144(C).
    19. Weitao Zhang & Adaviah Mas’od & Zuraidah Sulaiman, 2022. "Moderating Effect of Collectivism on Chinese Consumers’ Intention to Adopt Electric Vehicles—An Adoption of VBN Framework," Sustainability, MDPI, vol. 14(19), pages 1-35, September.
    20. Ye, Fei & Kang, Wanlin & Li, Lixu & Wang, Zhiqiang, 2021. "Why do consumers choose to buy electric vehicles? A paired data analysis of purchase intention configurations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 14-27.

    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:gam:jsusta:v:16:y:2024:i:11:p:4594-:d:1404299. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.