Open Access
Issue
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
Article Number 03016
Number of page(s) 14
Section ESG, Green Finance & Sustainable Value Creation
DOI https://doi.org/10.1051/shsconf/202522503016
Published online 13 November 2025
  1. F. Li, Z. Song, W. Liu, China’s energy consumption under the global economic crisis: Decomposition and sectoral analysis. Energy Policy. 64, 193–202 (2014) [Google Scholar]
  2. X. Yuan, X. Liu, J. Zuo, The development of new energy vehicles for a sustainable future: A review. Renewable and Sustainable Energy Reviews. 42, 298–305 (2015) [Google Scholar]
  3. Z. Liu, H. Hao, X. Cheng, F. Zhao, Critical issues of energy efficient and new energy vehicles development in China. Energy Policy. 115, 92–97 (2018) [Google Scholar]
  4. B. Zeng, F. Yin, J. Wang, W. Meng, Prediction and rationality analysis of new energy vehicle sales in China with a novel intelligent buffer operator. Engineering Applications of Artificial Intelligence. 143, 110030 (2025) [Google Scholar]
  5. X. Li, H. Wang, P. Ge, Development course and current situation of China’s new energy automobile industry. Automobile Applied Technology. 09, 285–288 (2020) DOI: 10.16638/j.cnki.1671-7988.2020.09.087 [Google Scholar]
  6. Zaisheng Technology, 2024 operating income of 1.48 billion yuan, marking a 10.9% year-on-year decline (2024) https://www.fxbaogao.com [Google Scholar]
  7. L. Guo, Z. Pei, Y. Zhao, The impact of new energy vehicles on electricity demand. Beijing: TF Securities (2023) https://www.fxbaogao.com [Google Scholar]
  8. M. A. Bamdezh, et al., Impact of ambient temperature on lithium-ion batteries in EVs. Journal of Energy Storage 55, 105741 (2022) [Google Scholar]
  9. S. Kim, J. Park, H. Lee, Battery technology advancements and their impact on electric vehicle market expansion. Journal of Power Sources 578, 233045 (2023) [Google Scholar]
  10. T. Gnann, P. Plötz, Combined models for AFV diffusion. Renewable and Sustainable Energy Reviews 47, 783–793 (2015) [Google Scholar]
  11. China Automobile Dealers Association - Passenger Car Market Information Joint Branch, In-depth analysis report on China’s new energy passenger vehicle market (2025) https://www.fxbaogao.com [Google Scholar]
  12. Z. H. Wang, C. Wang, Y. Hao, Influencing factors of private purchasing intentions of new energy vehicles in China. Journal of Renewable and Sustainable Energy 5(6), 063133 (2013) [Google Scholar]
  13. Wuzhong Municipal Tax Bureau (2025) http://ningxia.chinatax.gov.cn/art/2025/1/26/art_11472_356217.html [Google Scholar]
  14. W. Li, R. G. Cheng, A. Garg, N. B. Wang, L. Gao, Batteries boost the internet of everything: technologies and potential orientations in renewable energy sources, new energy vehicles, energy interconnection and transmission. Sustainable Energy, Grids and Networks. 37, 101273 (2024) [Google Scholar]
  15. BYD, BYD Han ranked second among mid-to-large size sedans with sales of 10,248 units (2025) https://en.byd.com/news/byd-sets-the-5th-new-monthly-sales-record-by-total-passenger-vehicle-sales-of-88898-units/ [Google Scholar]
  16. CATL, On August 16, CATL launched Shenxing, the world’s first 4C super-fast charging LFP battery, capable of delivering 400 km of driving range with a 10-minute charge (2023) https://www.catl.com/en/news/6091.html [Google Scholar]
  17. H. B. Liang, Huawei’s latest intelligent driving sensor solution: Adding solid-state LiDAR and 4D millimeter-wave angle radar (2025) https://cnevpost.com/2025/03/01/aito-starts-pre-sales-m5-ultra/ [Google Scholar]
  18. W. Xie, W. Zhao, B. Ding, Empirical research on the impact of technological innovation on new energy vehicle sales. Sustainability. 16(20), 8794 (2024) [Google Scholar]
  19. G. E. P. Box, et al., Time Series Analysis: Forecasting and Control. 5th ed., (Wiley, 2015) [Google Scholar]
  20. LIMC, et al., Forecasting hotel guest nights in New Zealand. International Journal of Hospitality Management. 28, 228–235 (2009) [Google Scholar]
  21. V. Roshan Joseph, Optimal ratio for data splitting. Stat. Anal. Data Min., 15, 531–538 (2022). R. Fildes, Evaluation of aggregate and individual forecast method selection rules. Management Science. 37(8), 1056–1065 (1991) [Google Scholar]
  22. R. J. Hyndman, Y. Khandakar, Automatic ARIMA modeling. Journal of Statistical Software. 27(3), 1–25 (2008) [Google Scholar]
  23. L. Hao, et al., Scenario analysis of energy consumption from China’s passenger vehicles. Energy. 71, 466–478 (2014) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.