Research on Sales Forecast of New Energy Vehicle: Based on the Perspective of Government Subsidy

Ruidan He

2022

Abstract

By studying the development status of the new energy vehicle (NEV) industry, establishing a system dynamics scenario of NEV sales, using Vensim software for scenarioing and simulation, analyzing the impact of technology innovation, infrastructure and other related variables on the NEV market sales, and simulating the future development trend of NEVs. This paper concludes that the future sales of NEVs will keep growing, which is mainly due to the increase of government subsidies and improvement of infrastructure. Finally, based on the simulation results and combined with the actual situation, reasonable suggestions are made for the future development of the NEV industry. The suggestions include: improving infrastructure construction; enhancing the role of policy leadership and strengthening government regulation.

Paper Citation

in Harvard Style

He R. (2022). Research on Sales Forecast of New Energy Vehicle: Based on the Perspective of Government Subsidy. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 748-752. DOI: 10.5220/0012043400003620

in Bibtex Style

@conference{icemme22,
author={Ruidan He},
title={Research on Sales Forecast of New Energy Vehicle: Based on the Perspective of Government Subsidy},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={748-752},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012043400003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Research on Sales Forecast of New Energy Vehicle: Based on the Perspective of Government Subsidy
SN - 978-989-758-636-1
AU - He R.
PY - 2022
SP - 748
EP - 752
DO - 10.5220/0012043400003620
PB - SciTePress