Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Research on the Evaluation of Innovation Efficiency of Electricity Listed Enterprises Based on Three-Stage DEA

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341998,
        author={Qiang  Lu and Zheng  Li and Nan  Xu and Yuxin  Xing},
        title={Research on the Evaluation of Innovation Efficiency of Electricity Listed Enterprises Based on Three-Stage DEA},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={electricity listed companies ; r\&d efficiency; three-stage dea},
        doi={10.4108/eai.27-10-2023.2341998}
    }
    
  • Qiang Lu
    Zheng Li
    Nan Xu
    Yuxin Xing
    Year: 2024
    Research on the Evaluation of Innovation Efficiency of Electricity Listed Enterprises Based on Three-Stage DEA
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341998
Qiang Lu1, Zheng Li2, Nan Xu2, Yuxin Xing3,*
  • 1: State Grid Energy Research Institute Co., Ltd.
  • 2: State Grid Shandong Electric Power Company
  • 3: China University of Mining&Technology
*Contact email: x15036297109@163.com

Abstract

With the development of the times,large state-owned enterprises put forward a major strategic development layout, this paper takes the technological research and development in the strategic layout as an entry point, and proposes a set of index system to measure the technological innovation efficiency of the sample electric power enterprises. In this paper, the three-stage DEA method is used to evaluate the efficiency, and the research results show that: the enterprise's establishment years, gearing ratio, government subsidies and gross regional product all positively affect the redundancy of R & D inputs, and the impact of total assets is not significant, and after removing environmental noise and random interference terms, the Pure technical efficiency of sample enterprises is improved and scale efficiency is decreased, after adjustment, the scale reward of each enterprise reaches incremental or optimal scale status during the sample period.