As global non-renewable energy reserves gradually decrease, new energy vehicles (NEV) are gaining increasing attention worldwide. The NEV industry in China has significant resource advantages and vast market potential. However, Chinese NEV enterprises have not yet fully met international market demands, which means it is worthwhile to explore how to improve their export competitiveness in the international market. Based on panel data from ten countries between 2019 and 2022, using principal component analysis and gray relational analysis methods on the foundation of the gravity model of trade, the study examines the factors affecting China's NEV exports. The three most important factors, the GDP, carbon emissions, and distance of the target export markets, are extracted from the analysis. In other words, the higher the economic level and carbon emissions of the target export market, the greater the demand for NEVs. Conversely, the closer the distance, the more NEVs are imported from China. It also finds that China's exports to developed countries, particularly those with an advantage of NEV production, are relatively low. In order to have a greater impact on the international market, China still needs to strive to create internationally renowned NEV brands.
Wang, Z., Wang, C., & Hao, Y. (2013). Influencing factors of private purchasing intentions of new energy vehicles in China. Journal of renewable and sustainable energy, 5(6), 063133.
Zhang, X., & Zhang, C. (2016). Optimal new energy vehicle production strategy considering subsidy and shortage cost. Energy Procedia, 104, 2981-2986.
Mustar, P., & Laredo, P. (2015). Innovation and research policy in France (1980–2000) or the disappearance of the Colbertist State. Research Policy, 44(1), 55-72.
Ingeborgrud, L., & Ryghaug, M. (2019). The role of practical, cognitive and symbolic factors in the successful implementation of battery electric vehicles in Norway. Transportation Research Part A: Policy and Practice, 130, 507-516.
Tianyu, J., & Meng, L. (2020). Does education increase pro-environmental willingness to pay? Evidence from Chinese household survey. Journal of Cleaner Production, 275, 122713.
Jochem, P., Babrowski, S., & Fichtner, W. (2015). Assessing CO2 emissions of electric vehicles in Germany in 2030. Transportation Research Part A: Policy and Practice, 78, 68-83.
Kumar, P., Sahu, N. C., & Ansari, M. A. (2021). Export potential of climate smart goods in India: evidence from the Poisson pseudo maximum likelihood estimator. The International Trade Journal, 35(3), 288-308.
Leng, Z., Shuai, J., Sun, H., Shi, Z., & Wang, Z. (2020). Do China's wind energy products have potentials for trade with the “Belt and Road” countries?--A gravity model approach. Energy Policy, 137, 111172.
Li, L., Wang, Z., & Wang, Q. (2020). Do policy mix characteristics matter for electric vehicle adoption? A survey-based exploration. Transportation Research Part D: Transport and Environment, 87, 102488.
Liu, R., Ding, Z., Wang, Y., Jiang, X., Jiang, X., Sun, W., ... & Liu, M. (2021). The relationship between symbolic meanings and adoption intention of electric vehicles in China: The moderating effects of consumer self-identity and face consciousness. Journal of Cleaner Production, 288, 125116.
Logan, K. G., Nelson, J. D., Lu, X., & Hastings, A. (2020). UK and China: Will electric vehicle integration meet Paris agreement targets?. Transportation Research Interdisciplinary Perspectives, 8, 100245.
Manca, F., Sivakumar, A., Daina, N., Axsen, J., & Polak, J. W. (2020). Modelling the influence of peers’ attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences. Transportation Research Part A: Policy and Practice, 140, 278-298.
