Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Research on the Influence Mechanism of R&D Investment and Enterprise Performance Based on FEM Algorithm

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330369,
        author={Juanjuan  Liang and Linrong  Wu},
        title={Research on the Influence Mechanism of R\&D Investment and Enterprise Performance Based on FEM Algorithm},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={r\&d investment enterprise performance heterogeneity of senior management team},
        doi={10.4108/eai.6-1-2023.2330369}
    }
    
  • Juanjuan Liang
    Linrong Wu
    Year: 2023
    Research on the Influence Mechanism of R&D Investment and Enterprise Performance Based on FEM Algorithm
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330369
Juanjuan Liang1, Linrong Wu1,*
  • 1: Guilin University
*Contact email: wulinrong@gxljc.edu.cn

Abstract

In order to reduce the impact of external environment changes on enterprise R&D and performance since 2020, this paper selects the listed companies in Shanghai and Shenzhen A-share market from 2015 to 2019 as the research sample, uses the FEM Algorithm to empirically test the relationship between R&D investment and enterprise performance, and discusses the regulatory role of the heterogeneity of senior management team on it, and adopts the replacement variable measurement method to pass the robustness test. The research finds that R&D investment has a significant negative correlation with the current performance of enterprises and the performance of enterprises lagging behind the first phase, and a significant positive correlation with the performance of enterprises lagging behind the second phase. In the study of the influence of the heterogeneity of senior management team on the relationship between R&D investment intensity and enterprise performance, the heterogeneity of age, career background and education level is positively correlated with the two, which is not conducive to the improvement of enterprise performance. However, the gender and tenure heterogeneity of senior executives and the two have a negative regulatory effect, promoting the improvement of corporate performance.