IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v174y2023ics0301421523000198.html
   My bibliography  Save this article

Energy transition scenarios in the transportation sector in Brazil: Contributions from the electrical mobility

Author

Listed:
  • Grangeia, Carolina
  • Santos, Luan
  • Ferreira, Daniel Viana
  • Guimarães, Raphael
  • de Magalhães Ozorio, Luiz
  • Tavares, Arthur

Abstract

During COP 21, the Paris Declaration on Electro-Mobility and Climate Change & Call to Action defined the global goal of reaching 100 million electric vehicles (EV) and 400 million two- or three-wheel vehicles by 2030. As a result, several countries have set national targets for implementing EV as an integral part of low-carbon energy transition. In Brazil, the technological route of biofuels has stood out from the National Alcohol Program (PROALCOOL) in the 1970s to the current National Biofuels Policy (RenovaBio). However, in recent years, the EV market has been gaining a prominent role in business, governmental and academic debates. Thus, this study seeks to analyse the main factors that drive electric mobility in Brazil, from the definition of technical, economic and fiscal parameters, in addition to evaluating hypotheses on the evolution of public policies and prices of EV in the country. Some scenarios were developed to identify the behaviour of the market penetration of EV in the country, based on Bass' technological diffusion model and dynamic systems. Results indicate that the EV purchase price is consolidated as the most relevant variable for the diffusion of electric mobility in Brazil. From the gains derived from economies of scale, a reduction in the price of vehicles is expected given the decrease in the production costs, as well as in price of batteries. We also concluded that the establishment of a regulatory framework and the development of public policies are fundamental to the promotion of electric mobility in the country.

Suggested Citation

  • Grangeia, Carolina & Santos, Luan & Ferreira, Daniel Viana & Guimarães, Raphael & de Magalhães Ozorio, Luiz & Tavares, Arthur, 2023. "Energy transition scenarios in the transportation sector in Brazil: Contributions from the electrical mobility," Energy Policy, Elsevier, vol. 174(C).
  • Handle: RePEc:eee:enepol:v:174:y:2023:i:c:s0301421523000198
    DOI: 10.1016/j.enpol.2023.113434
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421523000198
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2023.113434?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
    2. Baran, Renato & Legey, Luiz Fernando Loureiro, 2013. "The introduction of electric vehicles in Brazil: Impacts on oil and electricity consumption," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 907-917.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    5. Aravena, C. & Denny, E., 2021. "The impact of learning and short-term experience on preferences for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Kley, Fabian & Lerch, Christian & Dallinger, David, 2011. "New business models for electric cars--A holistic approach," Energy Policy, Elsevier, vol. 39(6), pages 3392-3403, June.
    7. Vasja Roblek & Maja Meško & Iztok Podbregar, 2021. "Impact of Car Sharing on Urban Sustainability," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    8. Rogers, Everett M, 1976. "New Product Adoption and Diffusion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 290-301, March.
    9. Leonardo Bitencourt & Tiago Abud & Rachel Santos & Bruno Borba, 2021. "Bass Diffusion Model Adaptation Considering Public Policies to Improve Electric Vehicle Sales—A Brazilian Case Study," Energies, MDPI, vol. 14(17), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Xiangyang & Song, Yuanyuan, 2024. "Industrial ripples: Automotive electrification sends through carbon emissions," Energy Policy, Elsevier, vol. 187(C).
    2. Hu, Wenfa & He, Xinhua, 2024. "The role of fiscal policies in supporting a transition to a low-carbon economy: Evidence from the Chinese shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    3. Zhao, Congyu & Jia, Rongwen & Dong, Kangyin, 2023. "How does smart transportation technology promote green total factor productivity? The case of China," Research in Transportation Economics, Elsevier, vol. 101(C).

    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. Bonacina, Monica & Demir, Mert & Sileo, Antonio & Zanoni, Angela, 2024. "The slow lane: a study on the diffusion of full-electric cars in Italy," FEEM Working Papers 344135, Fondazione Eni Enrico Mattei (FEEM).
    2. Monica Bonacina & Mert Demir & Antonio Sileo & Angela Zanoni, 2024. "The slow lane: a study on the diffusion of full-electric cars in Italy," Working Papers 2024.19, Fondazione Eni Enrico Mattei.
    3. Martínez-Lao, Juan & Montoya, Francisco G. & Montoya, Maria G. & Manzano-Agugliaro, Francisco, 2017. "Electric vehicles in Spain: An overview of charging systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 970-983.
    4. Brito, Thiago Luis Felipe & Islam, Towhidul & Stettler, Marc & Mouette, Dominique & Meade, Nigel & Moutinho dos Santos, Edmilson, 2019. "Transitions between technological generations of alternative fuel vehicles in Brazil," Energy Policy, Elsevier, vol. 134(C).
    5. Wang, Fei & Zhang, Zhentai & Lin, Shoufu, 2023. "Purchase intention of Autonomous vehicles and industrial Policies: Evidence from a national survey in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    6. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    7. Habib Ntwoku & Solomon Negash & Peter Meso, 2017. "ICT adoption in Cameroon SME: application of Bass diffusion model," Information Technology for Development, Taylor & Francis Journals, vol. 23(2), pages 296-317, April.
    8. Karakaya, Emrah & Nuur, Cali & Hidalgo, Antonio, 2016. "Business model challenge: Lessons from a local solar company," Renewable Energy, Elsevier, vol. 85(C), pages 1026-1035.
    9. Sebastian Schneider & Frank Huber, 2022. "You paid what!? Understanding price-related word-of-mouth and price perception among opinion leaders and innovators," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 64-80, February.
    10. Frambach, Ruud T. & Schillewaert, Niels, 2002. "Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research," Journal of Business Research, Elsevier, vol. 55(2), pages 163-176, February.
    11. Martin Zsifkovits & Markus Günther, 2015. "Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 501-522, June.
    12. Winsor, Robert D., 1995. "Marketing under conditions of chaos : Percolation metaphors and models," Journal of Business Research, Elsevier, vol. 34(3), pages 181-189, November.
    13. Hauke Simon & Jens Leker, 2016. "Using Startup Communication For Opportunity Recognition — An Approach To Identify Future Product Trends," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-22, December.
    14. Pan, Yue & Zhang, Jason Q., 2011. "Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews," Journal of Retailing, Elsevier, vol. 87(4), pages 598-612.
    15. Zhang, Nan & Hwang, Bon-Gang & Lu, Yujie & Ngo, Jasmine, 2022. "A Behavior theory integrated ANN analytical approach for understanding households adoption decisions of residential photovoltaic (RPV) system," Technology in Society, Elsevier, vol. 70(C).
    16. Meilinda Fitriani Nur Maghfiroh & Andante Hadi Pandyaswargo & Hiroshi Onoda, 2021. "Current Readiness Status of Electric Vehicles in Indonesia: Multistakeholder Perceptions," Sustainability, MDPI, vol. 13(23), pages 1-25, November.
    17. Vargo, Stephen L. & Akaka, Melissa Archpru & Wieland, Heiko, 2020. "Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective," Journal of Business Research, Elsevier, vol. 116(C), pages 526-534.
    18. Yi-Hui Chiang & Yiming Li & Chih-Young Hung, 2007. "A Dynamic Growth Model for Flows of Foreign Direct Investment," DEGIT Conference Papers c012_047, DEGIT, Dynamics, Economic Growth, and International Trade.
    19. Sang-Gun Lee & Byeonghwa Park & Si-Hyeon Kim & Hong-Hee Lee, 2012. "Innovation and imitation effects in the mobile telecommunication service market," Service Business, Springer;Pan-Pacific Business Association, vol. 6(3), pages 265-278, September.
    20. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.

    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:eee:enepol:v:174:y:2023:i:c:s0301421523000198. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.