IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v35y2024i3d10.1134_s1075700724030109.html
   My bibliography  Save this article

Long-Term Assessment of Energy Demand in Russian Passenger Transport in the Context of Low-Carbon Transformation

Author

Listed:
  • O. V. Mazurova

    (Melentiev Energy Systems Institute, Siberian Branch, Russian Academy of Sciences)

Abstract

The article is devoted to the study of the future demand for energy in transport in the context of the transition to a low-carbon development trajectory in accordance with the adopted “Strategy for the long-term development of the Russian Federation with low greenhouse gas emissions until 2050.” The research is based on scenario forecasting and mathematical modeling methods. The results of a forecast assessment of the demand for motor fuel and electricity in passenger transport in Russia as a whole and in federal districts until 2050 have been presented, taking into account: 1) transition of the economy to a low-carbon development model; 2) change in the structure of passenger turnover in favor of less carbon-intensive modes of transport; 3) increase in the energy efficiency and environmental safety of vehicles. The possible consequences of large-scale development of electric transport in Russia in the long term have been given.

Suggested Citation

  • O. V. Mazurova, 2024. "Long-Term Assessment of Energy Demand in Russian Passenger Transport in the Context of Low-Carbon Transformation," Studies on Russian Economic Development, Springer, vol. 35(3), pages 415-422, June.
  • Handle: RePEc:spr:sorede:v:35:y:2024:i:3:d:10.1134_s1075700724030109
    DOI: 10.1134/S1075700724030109
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700724030109
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S1075700724030109?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. Broadbent, Gail & Allen, Cameron & Wiedmann, Thomas & Metternicht, Graciela, 2022. "The role of electric vehicles in decarbonising Australia’s road transport sector: modelling ambitious scenarios," Energy Policy, Elsevier, vol. 168(C).
    2. Tsemekidi Tzeiranaki, Sofia & Economidou, Marina & Bertoldi, Paolo & Thiel, Christian & Fontaras, Georgios & Clementi, Enrico Luca & Franco De Los Rios, Camilo, 2023. "“The impact of energy efficiency and decarbonisation policies on the European road transport sector”," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. Dmitriy Grushevenko & Ekaterina Grushevenko & Vyacheslav Kulagin, 2018. "Energy Consumption of the Russian Road Transportation Sector: Prospects for Inter-Fuel Competition in Terms of Technological Innovation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(4), pages 35-44.
    4. Huiming Gong & Michael Wang & Hewu Wang, 2013. "New energy vehicles in China: policies, demonstration, and progress," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(2), pages 207-228, 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. Shangfeng Han & Baosheng Zhang & Xiaoyang Sun & Song Han & Mikael Höök, 2017. "China’s Energy Transition in the Power and Transport Sectors from a Substitution Perspective," Energies, MDPI, vol. 10(5), pages 1-25, April.
    2. Wang, Hewu & Zhang, Xiaobin & Ouyang, Minggao, 2015. "Energy consumption of electric vehicles based on real-world driving patterns: A case study of Beijing," Applied Energy, Elsevier, vol. 157(C), pages 710-719.
    3. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    4. Li, Xiaotao & Yuan, Xiaodong, 2022. "Tracing the technology transfer of battery electric vehicles in China: A patent citation organization network analysis," Energy, Elsevier, vol. 239(PD).
    5. Cotterman, Turner & Fuchs, Erica R.H. & Whitefoot, Kate S. & Combemale, Christophe, 2024. "The transition to electrified vehicles: Evaluating the labor demand of manufacturing conventional versus battery electric vehicle powertrains," Energy Policy, Elsevier, vol. 188(C).
    6. Xiu SHI & Rui JING & Guang-ming HOU & Jun-peng WANG, 2019. "Network Position Advantage and Technological Innovation of China’s New Energy Vehicle Based on the Perspective of Network Theory," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    7. Lin, Boqiang & Tan, Ruipeng, 2017. "Estimation of the environmental values of electric vehicles in Chinese cities," Energy Policy, Elsevier, vol. 104(C), pages 221-229.
    8. Rosa, Carmen Brum & Francescatto, Matheus Binotto & Neuenfeldt Júnior, Alvaro Luiz & Bernardon, Daniel Pinheiro & dos Santos, Laura Lisiane Callai, 2023. "Regulatory analysis of E-mobility for Brazil: A comparative review and outlook," Utilities Policy, Elsevier, vol. 84(C).
    9. Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin & Yue, Wen Long & Zou, Xin, 2019. "Multi-criteria analysis of policies for implementing clean energy vehicles in China," Energy Policy, Elsevier, vol. 129(C), pages 826-840.
    10. Bożena Gajdzik & Marcin Awdziej & Magdalena Jaciow & Ilona Lipowska & Marcin Lipowski & Grzegorz Szojda & Jolanta Tkaczyk & Radosław Wolniak & Robert Wolny & Wieslaw Wes Grebski, 2024. "Encouraging Residents to Save Energy by Using Smart Transportation: Incorporating the Propensity to Save Energy into the UTAUT Model," Energies, MDPI, vol. 17(21), pages 1-31, October.
    11. Hewu Wang & Xiaobin Zhang & Lvwei Wu & Cong Hou & Huiming Gong & Qian Zhang & Minggao Ouyang, 2015. "Beijing passenger car travel survey: implications for alternative fuel vehicle deployment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(5), pages 817-835, June.
    12. Peng Yu & Jian Zhang & Defang Yang & Xin Lin & Tianying Xu, 2019. "The Evolution of China’s New Energy Vehicle Industry from the Perspective of a Technology–Market–Policy Framework," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    13. Xian Zhao & Siqi Wang & Xiaoyue Wang, 2018. "Characteristics and Trends of Research on New Energy Vehicle Reliability Based on the Web of Science," Sustainability, MDPI, vol. 10(10), pages 1-25, October.
    14. Wenbo Li & Ruyin Long & Hong Chen & Baoqi Dou & Feiyu Chen & Xiao Zheng & Zhengxia He, 2020. "Public Preference for Electric Vehicle Incentive Policies in China: A Conjoint Analysis," IJERPH, MDPI, vol. 17(1), pages 1-16, January.
    15. Mirela Sichigea & Daniel Cîrciumaru & Valeriu Brabete & Cătălin Mihail Barbu, 2024. "Sustainable Transport in the European Union: Exploring the Net-Zero Transition through Confirmatory Factor Analysis and Gaussian Graphical Modeling," Energies, MDPI, vol. 17(11), pages 1-17, May.
    16. Yang, Wen & Ma, Jianhua & Fan, Ao & Zhang, Jinyi & Pan, Yanchun, 2024. "Effectiveness of policies for electric commercial vehicle adoption and emission reduction in the logistics industry," Energy Policy, Elsevier, vol. 188(C).
    17. Han Hao & Michael Wang & Yan Zhou & Hewu Wang & Minggao Ouyang, 2015. "Levelized costs of conventional and battery electric vehicles in china: Beijing experiences," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(7), pages 1229-1246, October.
    18. Fansheng Meng & Xiaoye Jin, 2019. "Evaluation of the Development Capability of the New Energy Vehicle Industry: An Empirical Study from China," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    19. Jie Gao & Qingmei Tan & Bo Cui, 2024. "Evolutionary Game Analysis of New Energy Transition Among Government, Traditional Automobile Enterprises, and Research Institutions Under the Dual Carbon Goals," Energies, MDPI, vol. 17(23), pages 1-20, November.
    20. Xue, Yixi & Zhang, Yi & Wang, Zhuoli & Tian, Shuo & Xiong, Qian & Li, Lydia Qianqian, 2023. "Effects of incentive policies on the purchase intention of electric vehicles in China: Psychosocial value and family ownership," Energy Policy, Elsevier, vol. 181(C).

    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:spr:sorede:v:35:y:2024:i:3:d:10.1134_s1075700724030109. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.