The Impact of New Energy Vehicle Battery Service on Corporate Financial Performance

-- Research Perspective based on Charging Piles

Authors

  • Yuhe Wang

DOI:

https://doi.org/10.62051/mverg593

Keywords:

Charging Pile; Financial Performance; Panel Model; HLM Model.

Abstract

In recent years, with the rapid development of technology and the "dual-carbon" goal, the new energy vehicle industry in emerging regions has been developing rapidly. However, as a core component of new energy vehicles, the battery has problems in safety, range and insurance services. Therefore, this paper explores the impact of new energy vehicle battery services on its financial performance from the perspective of charging piles. Taking China as an example, this paper uses the quarterly data of 530 listed new energy vehicle companies from March 2019 to June 2022 and the data of charging piles in each province. It establishes a panel model and a HLM multilayer linear regression model with the financial performance of new energy vehicle enterprises as the dependent variable and the number of charging piles as the independent variable to analyze the impact of new energy vehicle battery services on their financial performance. The empirical results show that (1) an increase in the number of charging piles significantly improves the financial performance of local new energy vehicle enterprises. (2) In terms of regional heterogeneity, the number of charging piles in coastal areas and economically underdeveloped areas has a greater impact on financial performance of local new energy vehicle enterprises. (3) The governmental governance capacity in the provinces, technological innovation capacity, and green development attention of local government have a significant moderating effect on the financial performance of local new energy vehicle enterprises.

Downloads

Download data is not yet available.

References

Yuan, X., Liu, X., & Zuo, J. (2015). The development of new energy vehicles for a sustainable future: A review. Renewable and Sustainable Energy Reviews, 42, 298-305.

Geopolitics, H. W. W. E. (2023). Check for updates Harnessing Win-Win Energy Geopolitics and Competitive Global Energy Market by Integrating Energy Efficiency Riasat Noor and Sumaiya Noor Sanda. The Handbook of Energy Policy, 3.

Pickering, B., Lombardi, F., & Pfenninger, S. (2022). Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system. Joule, 6(6), 1253-1276.

Yuan, X., Liu, X., & Zuo, J. (2015). The development of new energy vehicles for a sustainable future: A review. Renewable and Sustainable Energy Reviews, 42, 298-305.

Emodi, N.V.; Akuru, U.B.; Dioha, M.O.; Adoba, P.; Kuhudzai, R.J.; Bamisile, O. (2023). The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience. Energies, 16, 4248.

Ling, H. (2022, July). Empirical Research of Corporate Governance and Firm Performance of Chinese New Energy Vehicle Manufacturing Enterprises. In 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022) (pp. 22-29). Atlantis Press.

Dong, F., & Liu, Y. (2020). Policy evolution and effect evaluation of new-energy vehicle industry in China. Resources Policy, 67, 101655.

RAO Yibang,XIONG Yongqing,XU Wen. (2022). Research on the heterogeneous impact of double integral policy on the financial performance of upstream and downstream enterprises of new energy vehicles[J]. Systems Engineering Theory and Practice,42(09):2408-2425.(In Chinese)

WU Jingjing ,HE Zhengchu,WU Yan. (2021). Research on the impact of new energy vehicle integrated business model on enterprise performance[J]. Finance and Economics Theory and Practice,42(04):116-122.(In Chinese)

Yi, T., Zhang, C., Lin, T., & Liu, J. (2020). Research on the spatial-temporal distribution of electric vehicle charging load demand: A case study in China. Journal of Cleaner Production, 242, 118457.

Su, Z., Wang, Y., Xu, Q., Fei, M., Tian, Y. C., & Zhang, N. (2018). A secure charging scheme for electric vehicles with smart communities in energy blockchain. IEEE Internet of Things Journal, 6(3), 4601-4613.

Zhu, L., Zhang, Q., Lu, H., Li, H., Li, Y., McLellan, B., & Pan, X. (2017). Study on crowdfunding’s promoting effect on the expansion of electric vehicle charging piles based on game theory analysis. Applied energy, 196, 238-248.

Chen, L., Huang, X., Chen, Z., & Jin, L. (2016). Study of a new quick-charging strategy for electric vehicles in highway charging stations. Energies, 9(9), 744.

Zhu, L., Zhang, Q., Lu, H., Li, H., Li, Y., McLellan, B., & Pan, X. (2017). Study on crowdfunding’s promoting effect on the expansion of electric vehicle charging piles based on game theory analysis. Applied energy, 196, 238-248.

Zanuttigh, Barbara. (2020). "SUSTAINABLE MANAGEMENT STRATEGIES FOR SAFE COASTAL AREAS." Coastal Engineering Proceedings 36v:7.

Zhenzi Sun, (2021). "An Empirical Study on the Relationship between Education and Economic Development Based on PVAR Model", Scientific Programming, vol. 2021, Article ID 6052182, 13 pages.

Fernald JG. (1993). Explaining productivity growth: Essays on infrastructure, imperfect competition, and externalities. [Order No. 9330908]. Harvard University.

Li, M., Cao, G., Li, H., Hao, Z. and Zhang, L. (2023). "How government subsidies affect technology innovation in the context of Industry 4.0: evidence from Chinese new-energy enterprises", Kybernetes.

Sarpong, David , et al. (2023). "The three pointers of research and development (R&D) for growth-boosting sustainable innovation system." Technovation: The International Journal of Technological Innovation, Entrepreneurship and Technology Management.

Yuefang Sun, Kangkang Jin, Zhaozhuang Guo, Chen Zhang, Hao Wang, (2020). "Research on Intelligent Guidance Optimal Path of Shared Car Charging in the IOT Environment", Wireless Communications and Mobile Computing, vol.

Xie R, An L, Yasir N. (2022). How Innovative Characteristics Influence Consumers’ Intention to Purchase Electric Vehicle: A Moderating Role of Lifestyle. Sustainability.

Zhang, Y., Zhu, C. (2023). Incomplete multi-view clustering via attention-based contrast learning. Int. J. Mach. Learn. & Cyber. 14, 4101–4117.

Wen Xiong, Xueni Guo, Yi Sun, Jia-Jia Ou, (2023). Green standard and green development: Theory and empirical evidence,Journal of Cleaner Production,Volume 414.

Wu Jiang,Wu Tao. (2022). Fiscal transparency, local government governance capacity and regional innovation[J]. Statistics and Decision Making,38(15):149-153. (In Chinese)

Bonina, C., & Eaton, B. (2020). Cultivating open government data platform ecosystems through governance: Lessons from Buenos Aires, Mexico City and Montevideo. Government Information Quarterly, 37(3), 101479.

Fang Xi,Zhang Liping. (2021). Analysis of domestic and international new energy vehicle charging pile technology prediction - based on life cycle and international patent classification number[J]. Science and Technology Management Research,41(08):148-155. (In Chinese)

Yang, D., Wang, A. X., Zhou, K. Z., & Jiang, W. (2019). Environmental strategy, institutional force, and innovation capability: A managerial cognition perspective. Journal of Business Ethics, 159, 1147-1161.

Tien, H., Chiang, & Zhu, Z. P. (2023). Effects of environmental cognition on environmental knowledge sharing and environmental behaviour in ecotourism.

Zhang, M., Yang, Y., Du, P., Wang, J., Wei, Y., Qin, J., & Yu, L. (2024). The effect of public environmental participation on pollution governance in China: The mediating role of local governments' environmental attention. Environmental Impact Assessment Review, 104, 107345.

Sapir, E. (1944). Grading, a study in semantics. Philosophy of science, 11(2), 93-116.

Wen Hong,Zhao Xiaowei. (2015) Governmental public service attention allocation and the choice of input direction of public financial resources-Textual analysis based on the work reports of the governments of six central provinces (2007-2012) [J]. Soft Science,29(06):5-9. (In Chinese)

Niu Qin,Liu Chen. (2020) Research on Local Government Attention Allocation in Regional Green Development - Based on the Text Analysis of the Work Reports of Municipal Governments in Beijing, Tianjin and Hebei Provinces (2010-2019) [J]. Journal of China Yan'an Cadre College,13(06):98-106+136. (In Chinese)

LeSage, J. P. (1999). A spatial econometric examination of China's economic growth. Geographic Information Sciences, 5(2), 143-153.

Owoo, T. K. (2017). Relationship Between Aggressive Working-Capital Policy, High-Risk Financial Policy, and Firm Performance (Doctoral dissertation, Capella University).

Yu, F., Wang, L., & Li, X. (2020). The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation. Energy Policy, 141, 111463.

Downloads

Published

31-03-2024

How to Cite

Wang, Y. (2024). The Impact of New Energy Vehicle Battery Service on Corporate Financial Performance: -- Research Perspective based on Charging Piles. Transactions on Economics, Business and Management Research, 5, 180-190. https://doi.org/10.62051/mverg593