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Regional differences in China's electric vehicle sales forecasting: Under supply-demand policy scenarios

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  • Liu, Bingchun
  • Song, Chengyuan
  • Liang, Xiaoqin
  • Lai, Mingzhao
  • Yu, Zhecheng
  • Ji, Jie

Abstract

Policy incentives are the key driving force for the electric vehicle (EV) market cultivation. During the EV market cultivation in different regions, the supply-side and demand-side policies have different effects. Accurately forecasting the stage characteristics and response sensitivity of EV sales under supply-demand side policy scenarios, which is crucial to the EV promotion policies design. This study selects the EV sales in 31 provinces with data available, as the basis for decision-making, and proposes a multi-factor prediction model integrating grey relation analysis (GRA), discrete wavelet transform (DWT), and bidirectional long short-term memory. Combined with the development difference of 31 provinces, the penetration of China's EV market under the benchmark, supply, demand, and ideal scenarios are verified. The experimental results show that the average Mean Absolute Percentage Error (MAPE) of the GRA-DWT-BiLSTM model is 9.884, and the 31 samples show good applicability for EV sales forecasting. In 2027, the growth rate of China's EV sales in the demand-side scenario will exceed the supply-side scenario. Under the ideal scenario, China's EV penetration rate will reach 27.31%, 42.40%, and 52.97% in 2025, 2030, and 2035 respectively. The forecast results provide a decision-making basis for China's EV market sequential supply-demand side policies.

Suggested Citation

  • Liu, Bingchun & Song, Chengyuan & Liang, Xiaoqin & Lai, Mingzhao & Yu, Zhecheng & Ji, Jie, 2023. "Regional differences in China's electric vehicle sales forecasting: Under supply-demand policy scenarios," Energy Policy, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:enepol:v:177:y:2023:i:c:s0301421523001398
    DOI: 10.1016/j.enpol.2023.113554
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    References listed on IDEAS

    as
    1. Niu, Zibo & Liu, Yuanyuan & Gao, Wang & Zhang, Hongwei, 2021. "The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China," Resources Policy, Elsevier, vol. 73(C).
    2. Ou, Shiqi & Lin, Zhenhong & Xu, Guoquan & Hao, Xu & Li, Hongwei & Gao, Zhiming & He, Xin & Przesmitzki, Steven & Bouchard, Jessey, 2020. "The retailed gasoline price in China: Time-series analysis and future trend projection," Energy, Elsevier, vol. 191(C).
    3. Jiang, Hong-Dian & Xue, Mei-Mei & Liang, Qiao-Mei & Masui, Toshihiko & Ren, Zhong-Yuan, 2022. "How do demand-side policies contribute to the electrification and decarburization of private transportation in China? A CGE-based analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Chi, Yuan-Ying & Wang, Yuan-Yuan & Xu, Jin-Hua, 2021. "Estimating the impact of the license plate quota policy for ICEVs on new energy vehicle adoption by using synthetic control method," Energy Policy, Elsevier, vol. 149(C).
    5. Qiao, Weibiao & Liu, Wei & Liu, Enbin, 2021. "A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S," Energy, Elsevier, vol. 235(C).
    6. Featherman, Mauricio & Jia, Shizhen (Jasper) & Califf, Christopher B. & Hajli, Nick, 2021. "The impact of new technologies on consumers beliefs: Reducing the perceived risks of electric vehicle adoption," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    7. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "Impact of government subsidy on the optimal R&D and advertising investment in the cooperative supply chain of new energy vehicles," Energy Policy, Elsevier, vol. 164(C).
    8. Ma, Shao-Chao & Fan, Ying, 2020. "A deployment model of EV charging piles and its impact on EV promotion," Energy Policy, Elsevier, vol. 146(C).
    9. Wang, Yuanyuan & Chi, Yuanying & Xu, Jin-Hua & Yuan, Yongke, 2022. "Consumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China," Energy Policy, Elsevier, vol. 165(C).
    10. Peng, Lu & Wang, Lin & Xia, De & Gao, Qinglu, 2022. "Effective energy consumption forecasting using empirical wavelet transform and long short-term memory," Energy, Elsevier, vol. 238(PB).
    11. Qin, Shufeng & Xiong, Yongqing, 2022. "Innovation strategies of Chinese new energy vehicle enterprises under the influence of non-financial policies: Effects, mechanisms and implications," Energy Policy, Elsevier, vol. 164(C).
    12. Peng, Tian & Zhang, Chu & Zhou, Jianzhong & Nazir, Muhammad Shahzad, 2021. "An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting," Energy, Elsevier, vol. 221(C).
    13. Ledna, Catherine & Muratori, Matteo & Brooker, Aaron & Wood, Eric & Greene, David, 2022. "How to support EV adoption: Tradeoffs between charging infrastructure investments and vehicle subsidies in California," Energy Policy, Elsevier, vol. 165(C).
    14. Wang, Ning & Pan, Huizhong & Zheng, Wenhui, 2017. "Assessment of the incentives on electric vehicle promotion in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 177-189.
    15. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    16. Xuan, Yanni & Yue, Qiang, 2016. "Forecast of steel demand and the availability of depreciated steel scrap in China," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 1-12.
    17. Wang, Ke & Ma, Changxi & Qiao, Yihuan & Lu, Xijin & Hao, Weining & Dong, Sheng, 2021. "A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    18. Liu, Zongwei & Hao, Han & Cheng, Xiang & Zhao, Fuquan, 2018. "Critical issues of energy efficient and new energy vehicles development in China," Energy Policy, Elsevier, vol. 115(C), pages 92-97.
    19. Ye, Rui-Ke & Gao, Zhuang-Fei & Fang, Kai & Liu, Kang-Li & Chen, Jia-Wei, 2021. "Moving from subsidy stimulation to endogenous development: A system dynamics analysis of China's NEVs in the post-subsidy era," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    20. Zeng, Yu-Rong & Zeng, Yi & Choi, Beomjin & Wang, Lin, 2017. "Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network," Energy, Elsevier, vol. 127(C), pages 381-396.
    21. Ou, Shiqi & Lin, Zhenhong & Qi, Liang & Li, Jie & He, Xin & Przesmitzki, Steven, 2018. "The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China," Energy Policy, Elsevier, vol. 121(C), pages 597-610.
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    2. Hamid Ahaggach & Lylia Abrouk & Eric Lebon, 2024. "Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions," Forecasting, MDPI, vol. 6(3), pages 1-31, July.

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