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Research on Influencing Factors of Green Innovation of New Energy Vehicles Based on Bayesian Networks

机译:基于贝叶斯网络的新能源汽车绿色创新影响因素研究

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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.
机译:本文分析了四种准测量水平,包括工业发展,并收集各种数据,如政府政策,财政数据和公司专利。 本文分析了政策的实施过程,探讨了企业创新能力的研究因素,并获得11个指标。 基于11个指标构建的贝叶斯网络,我们使用线性回归方法来探讨新能源汽车公司的绿色创新能力的影响因素,并量化每个因素的影响程度。 本文根据定量结果,为政府工业战略规划,税收政策,政府采购等提供了建议,并为新能源汽车企业工业和技术的开发提供了参考。

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