Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Measurement of Innovation Efficiency of New Energy Automobile Companies in the Context of Digitalization

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322856,
        author={Puchao  Li and Xueyu  Xie},
        title={Measurement of Innovation Efficiency of New Energy Automobile Companies in the Context of Digitalization},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={new energy automobiles; innovation efficiency; three-stage dea; government subsidies; digital manufacturing},
        doi={10.4108/eai.17-6-2022.2322856}
    }
    
  • Puchao Li
    Xueyu Xie
    Year: 2022
    Measurement of Innovation Efficiency of New Energy Automobile Companies in the Context of Digitalization
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322856
Puchao Li1, Xueyu Xie2,*
  • 1: China Automotive Technology and Research Center Co.,Ltd.
  • 2: Automotive Data Of China (TianJin) Co.,Ltd.
*Contact email: xiexueyu@catarc.ac.cn

Abstract

New energy automobile is an important manifestation of the transformation and upgrading of the automobile manufacturing industry in China's innovation system, and the innovation efficiency of new energy automobile companies is the key to their innovation and development. In view of this, this paper takes 22 new energy automobile companies in China as a sample, selects measurement indicators from the perspective of input and output, and uses government support, regional economic level, corporate age and equity concentration as environmental variables, and measures the comprehensive innovation efficiency, pure technical efficiency and scale efficiency of new energy automobile companies from 2010 to 2019 by using three-stage DEA model, compares and analyzes the calculation results before and after the adjustment. This research is expected to provide a rational decision-making theoretical basis for improving the innovation capabilities of new energy automobile companies.