IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i22p12535-d678267.html
   My bibliography  Save this article

Future Policy and Technological Advancement Recommendations for Enhanced Adoption of Electric Vehicles in South Africa: A Survey and Review

Author

Listed:
  • Mokhele Edmond Moeletsi

    (Agricultural Research Council—Natural Resources and Engineering, Private Bag X79, Pretoria 0001, South Africa
    Business School, Nelson Mandela University, 2nd Avenue Campus, Summerstrand, Port Elizabeth 6001, South Africa
    Risk and Vulnerability Science Centre, University of Limpopo, Private Bag X1106, Sovenga, Polokwane 0727, South Africa)

Abstract

There are major concerns globally on the increasing population of internal combustion engine (ICE) vehicles and their environmental impact. The initiatives for the advancement of alternative propulsion systems, such as electric motors, have great opportunities, but are marked by a number of challenges that require major changes in policies and serious investment on the technologies in order to make them viable alternative mobility sources around the world. South Africa has struggled a lot in adopting electric vehicles among all the emerging countries. This is mostly attributed to a non-conducive environment for electric vehicle adoption. This study administered a survey consisting of Likert-scale questions in the Gauteng Province to gather information on people’s views on some of the major concerns around electric vehicle technology. The survey results demonstrated that Gauteng residents perceive electric vehicle price as the main constraint towards adoption of the technology and introduction of government policy towards addressing this challenge would be helpful. Some of the suggested interventions, such as the rollout of purchasing subsidies and tax rebates, received a high level of satisfaction among the respondents. Future initiatives that tackle issues of charging infrastructure network also received high satisfaction. Thus, there is a need for all stakeholders in the South African automotive industry to improve the enabling environment for the adoption of electric vehicles.

Suggested Citation

  • Mokhele Edmond Moeletsi, 2021. "Future Policy and Technological Advancement Recommendations for Enhanced Adoption of Electric Vehicles in South Africa: A Survey and Review," Sustainability, MDPI, vol. 13(22), pages 1-10, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12535-:d:678267
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/22/12535/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/22/12535/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    2. Ajanovic, Amela & Haas, Reinhard, 2016. "Dissemination of electric vehicles in urban areas: Major factors for success," Energy, Elsevier, vol. 115(P2), pages 1451-1458.
    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. Cristina López & Rocío Ruíz-Benítez & Carmen Vargas-Machuca, 2019. "On the Environmental and Social Sustainability of Technological Innovations in Urban Bus Transport: The EU Case," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    2. 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.
    3. Milan Straka & Pasquale De Falco & Gabriella Ferruzzi & Daniela Proto & Gijs van der Poel & Shahab Khormali & v{L}ubov{s} Buzna, 2019. "Predicting popularity of EV charging infrastructure from GIS data," Papers 1910.02498, arXiv.org.
    4. Szinai, Julia K. & Sheppard, Colin J.R. & Abhyankar, Nikit & Gopal, Anand R., 2020. "Reduced grid operating costs and renewable energy curtailment with electric vehicle charge management," Energy Policy, Elsevier, vol. 136(C).
    5. Muhammad Naveed Iqbal & Lauri Kütt & Matti Lehtonen & Robert John Millar & Verner Püvi & Anton Rassõlkin & Galina L. Demidova, 2021. "Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles," Sustainability, MDPI, vol. 13(3), pages 1-14, February.
    6. Yu, Zhen & Wang, Yilan & Ma, Xiaoqian & Shuai, Chuanmin & Zhao, Yujia, 2023. "How critical mineral supply security affects China NEVs industry? Based on a prediction for chromium and cobalt in 2030," Resources Policy, Elsevier, vol. 85(PB).
    7. Daziano, Ricardo A., 2022. "Willingness to delay charging of electric vehicles," Research in Transportation Economics, Elsevier, vol. 94(C).
    8. Lin, Haiyang & Bian, Caiyun & Wang, Yu & Li, Hailong & Sun, Qie & Wallin, Fredrik, 2022. "Optimal planning of intra-city public charging stations," Energy, Elsevier, vol. 238(PC).
    9. Veronika Štekerová & Martin Kotek & Veronika Hartová, 2020. "Comparison of two electric vehicles in terms of real range in different types of operations," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 66(4), pages 140-145.
    10. Vera Gerasimova & Gunnar Prause & Gunnar Prause & Thomas Hoffmann, 2023. "NFT-enriched smart contracts for smart circular economy models," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(2), pages 93-110, December.
    11. Rishabh Ghotge & Yitzhak Snow & Samira Farahani & Zofia Lukszo & Ad van Wijk, 2020. "Optimized Scheduling of EV Charging in Solar Parking Lots for Local Peak Reduction under EV Demand Uncertainty," Energies, MDPI, vol. 13(5), pages 1-18, March.
    12. Yan, Jie & Zhang, Jing & Liu, Yongqian & Lv, Guoliang & Han, Shuang & Alfonzo, Ian Emmanuel Gonzalez, 2020. "EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs," Renewable Energy, Elsevier, vol. 159(C), pages 623-641.
    13. Xiao, Xu & Chen, Zi-Rui & Nie, Pu-Yan, 2020. "Analysis of two subsidies for EVs: Based on an expanded theoretical discrete-choice model," Energy, Elsevier, vol. 208(C).
    14. Lin, Haiyang & Fu, Kun & Wang, Yu & Sun, Qie & Li, Hailong & Hu, Yukun & Sun, Bo & Wennersten, Ronald, 2019. "Characteristics of electric vehicle charging demand at multiple types of location - Application of an agent-based trip chain model," Energy, Elsevier, vol. 188(C).
    15. Dominik Husarek & Vjekoslav Salapic & Simon Paulus & Michael Metzger & Stefan Niessen, 2021. "Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration," Energies, MDPI, vol. 14(23), pages 1-27, November.
    16. Barone, G. & Buonomano, A. & Calise, F. & Forzano, C. & Palombo, A., 2019. "Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 625-648.
    17. Alali, Layla & Niesten, Eva & Gagliardi, Dimitri, 2022. "The impact of UK financial incentives on the adoption of electric fleets: The moderation effect of GDP change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 200-220.
    18. Wang, Yusheng & Huang, Yongxi & Xu, Jiuping & Barclay, Nicole, 2017. "Optimal recharging scheduling for urban electric buses: A case study in Davis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 115-132.
    19. Sinigaglia, Tiago & Eduardo Santos Martins, Mario & Cezar Mairesse Siluk, Julio, 2022. "Technological evolution of internal combustion engine vehicle: A patent data analysis," Applied Energy, Elsevier, vol. 306(PA).
    20. Marcin Wołek & Aleksander Jagiełło & Michał Wolański, 2021. "Multi-Criteria Analysis in the Decision-Making Process on the Electrification of Public Transport in Cities in Poland: A Case Study Analysis," Energies, MDPI, vol. 14(19), pages 1-13, October.

    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:13:y:2021:i:22:p:12535-:d:678267. 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.