The Impact of “Carbon Peak and Carbon Neutrality” Policy on Automobile Industry
- DOI
- 10.2991/aebmr.k.220404.023How to use a DOI?
- Keywords
- Pure new energy automobiles; Traditional automobiles; “Carbon peak and carbon neutrality” policy
- Abstract
Under the background of carbon peak and carbon neutrality, China’s new energy vehicles usher in development opportunities. This paper mainly discusses the impact of the Carbon peak and neutrality policy on the automobile industry by combining qualitative and quantitative analysis. By analyzing the contemporary and traditional automobiles, this paper carries out data visualization and trend analysis through Python and plot functions to show the impact of the “Carbon peak and neutrality” policy on the data of pure new energy and traditional automobiles. Then the samples are divided into treated group and control group. The double difference (did) research method is used to compare and analyze the data before and after the implementation of the policy to study the net impact of the policy. By comparing and analyzing the trend changes before and after the policy, this paper forecasts the future development of the automobile industry and puts forward countermeasures and suggestions for development. The study of this paper will comprehensively promote the development of a low-carbon economy in the automobile industry, help achieve the goal of “dual carbon”, and drive the rapid growth of China’s automobile export.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Juyi Wang PY - 2022 DA - 2022/04/18 TI - The Impact of “Carbon Peak and Carbon Neutrality” Policy on Automobile Industry BT - Proceedings of the 2022 International Conference on Creative Industry and Knowledge Economy (CIKE 2022) PB - Atlantis Press SP - 120 EP - 126 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220404.023 DO - 10.2991/aebmr.k.220404.023 ID - Wang2022 ER -