| Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
|---|---|---|
| Article Number | 02063 | |
| Number of page(s) | 4 | |
| Section | Energy Technology Application and Energy Saving and Emission Reduction Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202124802063 | |
| Published online | 12 April 2021 | |
Research on Influencing Factors of Green Innovation of New Energy Vehicles Based on Bayesian Networks
1 School of Management, Wuhan University of Technology, Wuhan, 430070, China
2 School of Enterpreneurship, Wuhan University of Technology, Wuhan, 430070, China
* Corresponding author: Qin Liu, e-mail: isunnygirl@whut.edu.cn
This article analyzes the four quasi-measurement levels including industrial development, and collects various data such as government policies, fiscal data, and company patents. This paper analyzes the implementation process of policies, explores the research factors of enterprise innovation ability, and obtains 11 indicators. Based on the Bayesian network constructed with 11 indicators, we use linear regression methods to explore the influencing factors of the green innovation capability of new energy automobile companies, and quantify the degree of influence of each factor. Based on the quantitative results, this paper provides suggestions for government industrial strategic planning, taxation policies, government procurement, etc., and provides a reference for the development of new energy automobile enterprises' industry and technology.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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