IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v86y2023ipbs0301420723007948.html
   My bibliography  Save this article

Assessment of the energy-saving and environment effects of China's gasoline vehicle withdrawal under the impact of geopolitical risks

Author

Listed:
  • Liu, Yajie
  • Dong, Feng
  • Wang, Yulong
  • Li, Jingyun
  • Qin, Chang

Abstract

With the increasing number of geopolitical events, energy and economy have been affected in all regions of the world. Uncertain geopolitical risks have led to the instability of the energy supply chain, thus affecting the future planning of fuel vehicles. Accordingly, the environmental effects of “Banning gasoline vehicle sales policy” (BGVSP) will also be affected by geopolitical risks. Therefore, using life-cycle assessment and the Lotka–Volterra model, this study evaluated the environmental effects of BGVSP in terms of energy consumption, carbon emissions, human toxic potential (HTP), global warming potential (GWP), acidification potential (AP), air quality potential (AQP), and photochemical ozone creation potential (POCP). We further analyzed the effects of differences in policy timing on the energy-conservation and emission-reduction benefits of BGVSP under multiple scenarios. The results show that the implementation of BGVSP in 2025 reduces the energy consumption, carbon emissions, GWP and POCP of the Chinese passenger vehicle market by 17.2%, 18.6%, 17.9% and 46.2%, respectively. However, it may also enhance HTP, AQP, and AP impact by 5.3%, 5.6%, and 18.2%, respectively. Meanwhile, lightweight automobile development could also help reduce energy consumption and carbon emissions in the passenger vehicle market. In this situation, the environmental effects of BGVSP implementation are superimposed. Moreover, the emission-reduction effect of new-energy vehicles is linked to the energy structure in terms of the whole life cycle; thus, the environmental effect of BGVSP in the context of energy cleaning is “super additive”. Regarding environmental effects, 2030 would be the optimal time for China to implement BGVSP as it transitions to clean energy.

Suggested Citation

  • Liu, Yajie & Dong, Feng & Wang, Yulong & Li, Jingyun & Qin, Chang, 2023. "Assessment of the energy-saving and environment effects of China's gasoline vehicle withdrawal under the impact of geopolitical risks," Resources Policy, Elsevier, vol. 86(PB).
  • Handle: RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723007948
    DOI: 10.1016/j.resourpol.2023.104083
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723007948
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.104083?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. Wang, Yachao & Wen, Yi & Zhu, Qinggong & Luo, Jiaxin & Yang, Zhengjun & Su, Sheng & Wang, Xin & Hao, Lijun & Tan, Jianwei & Yin, Hang & Ge, Yunshan, 2022. "Real driving energy consumption and CO2 & pollutant emission characteristics of a parallel plug-in hybrid electric vehicle under different propulsion modes," Energy, Elsevier, vol. 244(PB).
    2. Majeed, Abdul & Wang, Lijun & Zhang, Xiaohui & Muniba, & Kirikkaleli, Dervis, 2021. "Modeling the dynamic links among natural resources, economic globalization, disaggregated energy consumption, and environmental quality: Fresh evidence from GCC economies," Resources Policy, Elsevier, vol. 73(C).
    3. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023. "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, vol. 177(C).
    4. Wang, Jiangquan & Shahbaz, Muhammad & Song, Malin, 2021. "Evaluating energy economic security and its influencing factors in China," Energy, Elsevier, vol. 229(C).
    5. Kim, Imjung & Kim, Junghun & Lee, Jongsu, 2020. "Dynamic analysis of well-to-wheel electric and hydrogen vehicles greenhouse gas emissions: Focusing on consumer preferences and power mix changes in South Korea," Applied Energy, Elsevier, vol. 260(C).
    6. Li, Songsong & Zhang, Weiqian & Zhang, Wei, 2023. "Dynamic time-frequency connectedness and risk spillover between geopolitical risks and natural resources," Resources Policy, Elsevier, vol. 82(C).
    7. Stephen P. Holland & Erin T. Mansur & Andrew J. Yates, 2021. "The Electric Vehicle Transition and the Economics of Banning Gasoline Vehicles," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 316-344, August.
    8. Li, Kun & Dong, Feng, 2022. "Government strategy for banning gasoline vehicles: Evidence from tripartite evolutionary game," Energy, Elsevier, vol. 254(PA).
    9. Ke, Wenwei & Zhang, Shaojun & He, Xiaoyi & Wu, Ye & Hao, Jiming, 2017. "Well-to-wheels energy consumption and emissions of electric vehicles: Mid-term implications from real-world features and air pollution control progress," Applied Energy, Elsevier, vol. 188(C), pages 367-377.
    10. Mansour, Charbel J. & Haddad, Marc G., 2017. "Well-to-wheel assessment for informing transition strategies to low-carbon fuel-vehicles in developing countries dependent on fuel imports: A case-study of road transport in Lebanon," Energy Policy, Elsevier, vol. 107(C), pages 167-181.
    11. Weng, Yuwei & Cai, Wenjia & Wang, Can, 2021. "Evaluating the use of BECCS and afforestation under China’s carbon-neutral target for 2060," Applied Energy, Elsevier, vol. 299(C).
    12. Peter Tschofen & Inês L. Azevedo & Nicholas Z. Muller, 2019. "Fine particulate matter damages and value added in the US economy," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(40), pages 19857-19862, October.
    13. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    14. Song, Malin & Zheng, Huanyu & Shen, Zhiyang, 2023. "Whether the carbon emissions trading system improves energy efficiency – Empirical testing based on China's provincial panel data," Energy, Elsevier, vol. 275(C).
    15. Hao, Yu & Zhang, Zong-Yong & Yang, Chuxiao & Wu, Haitao, 2021. "Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    16. Liu, Yajie & Dong, Feng, 2022. "What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model," Energy, Elsevier, vol. 238(PC).
    17. Wang, Dawei & Zamel, Nada & Jiao, Kui & Zhou, Yibo & Yu, Shuhai & Du, Qing & Yin, Yan, 2013. "Life cycle analysis of internal combustion engine, electric and fuel cell vehicles for China," Energy, Elsevier, vol. 59(C), pages 402-412.
    18. Yang, Zijun & Wang, Bowen & Jiao, Kui, 2020. "Life cycle assessment of fuel cell, electric and internal combustion engine vehicles under different fuel scenarios and driving mileages in China," Energy, Elsevier, vol. 198(C).
    19. Song, Malin & Ma, Xiaowei & Shang, Yuping & Zhao, Xin, 2020. "Influences of land resource assets on economic growth and fluctuation in China," Resources Policy, Elsevier, vol. 68(C).
    20. Song, Malin & Xie, Qianjiao & Shahbaz, Muhammad & Yao, Xin, 2023. "Economic growth and security from the perspective of natural resource assets," Resources Policy, Elsevier, vol. 80(C).
    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. Liu, Yajie & Dong, Feng & Li, Guoqing & Huang, Jianheng & Yang, Shanshan & Wang, Yulong, 2023. "Public willingness to support the policy of banning gasoline vehicles sales and its internal mechanism," Energy, Elsevier, vol. 271(C).
    2. Liu, Yajie & Dong, Feng & Li, Guoqing & Pan, Yuling & Qin, Chang & Yang, Shanshan & Li, Jingyun, 2023. "Exploring the factors influencing public support willingness for banning gasoline vehicle sales policy: A grounded theory approach," Energy, Elsevier, vol. 283(C).
    3. Yang, Zijun & Wang, Bowen & Jiao, Kui, 2020. "Life cycle assessment of fuel cell, electric and internal combustion engine vehicles under different fuel scenarios and driving mileages in China," Energy, Elsevier, vol. 198(C).
    4. Soni, Vivek & Dey, Prasanta Kumar & Sharma, Sunil & Das, Debadyuti, 2023. "Negotiating oil and gas resource ownership for equitable sharing: A problematization approach and evidence from India," Resources Policy, Elsevier, vol. 85(PA).
    5. Aysan, Ahmet Faruk & Bakkar, Yassine & Ul-Durar, Shajara & Kayani, Umar Nawaz, 2023. "Natural resources governance and conflicts: Retrospective analysis," Resources Policy, Elsevier, vol. 85(PA).
    6. Wenhui Zhao & Yimeng Liu & Jiansheng Hou & Lifang Liu, 2023. "Impact of Carbon Trading Mechanism Considering Blockchain Technology on the Evolution of New Energy Vehicle Industry in the Post-Subsidy Era," Sustainability, MDPI, vol. 15(17), pages 1-18, September.
    7. Zhou, Xi-Yin & Xu, Zhicheng & Zheng, Jialin & Zhou, Ya & Lei, Kun & Fu, Jiafeng & Khu, Soon-Thiam & Yang, Junfeng, 2023. "Internal spillover effect of carbon emission between transportation sectors and electricity generation sectors," Renewable Energy, Elsevier, vol. 208(C), pages 356-366.
    8. Liu, Han & Yang, Peng & He, Yongda & Oxley, Les & Guo, Pengwei, 2024. "Exploring the influence of the geopolitical risks on the natural resource price volatility and correlation: Evidence from DCC-MIDAS-X model," Energy Economics, Elsevier, vol. 129(C).
    9. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
    10. Cui, Lianbiao & Yue, Suyun & Nghiem, Xuan-Hoa & Duan, Mei, 2023. "Exploring the risk and economic vulnerability of global energy supply chain interruption in the context of Russo-Ukrainian war," Resources Policy, Elsevier, vol. 81(C).
    11. Khan, Khalid & Khurshid, Adnan & Cifuentes-Faura, Javier, 2023. "Investigating the relationship between geopolitical risks and economic security: Empirical evidence from central and Eastern European countries," Resources Policy, Elsevier, vol. 85(PA).
    12. Wang, Yachao & Wen, Yi & Zhu, Qinggong & Luo, Jiaxin & Yang, Zhengjun & Su, Sheng & Wang, Xin & Hao, Lijun & Tan, Jianwei & Yin, Hang & Ge, Yunshan, 2022. "Real driving energy consumption and CO2 & pollutant emission characteristics of a parallel plug-in hybrid electric vehicle under different propulsion modes," Energy, Elsevier, vol. 244(PB).
    13. Zhang, Haoyi & Zhao, Fuquan & Hao, Han & Liu, Zongwei, 2023. "Comparative analysis of life cycle greenhouse gas emission of passenger cars: A case study in China," Energy, Elsevier, vol. 265(C).
    14. Aloui, Donia & Benkraiem, Ramzi & Guesmi, Khaled & Mzoughi, Hela, 2023. "Managing natural resource prices in a geopolitical risk environment," Resources Policy, Elsevier, vol. 83(C).
    15. Charfeddine, Lanouar & Umlai, Mohamed, 2023. "ICT sector, digitization and environmental sustainability: A systematic review of the literature from 2000 to 2022," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    16. Ning Xiang & Limao Wang & Shuai Zhong & Chen Zheng & Bo Wang & Qiushi Qu, 2021. "How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data," Energies, MDPI, vol. 14(22), pages 1-17, November.
    17. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    18. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    19. Desreveaux, A. & Bouscayrol, A. & Trigui, R. & Hittinger, E. & Castex, E. & Sirbu, G.M., 2023. "Accurate energy consumption for comparison of climate change impact of thermal and electric vehicles," Energy, Elsevier, vol. 268(C).
    20. Carozzi, Felipe & Roth, Sefi, 2023. "Dirty density: Air quality and the density of American cities," Journal of Environmental Economics and Management, Elsevier, vol. 118(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:eee:jrpoli:v:86:y:2023:i:pb:s0301420723007948. 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/inca/30467 .

    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.