Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Research on the Influence of Background Characteristics of Enterprise Executive Teams on Earnings Management

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334206,
        author={Yifan  Yang and Xinglei  Li and Weiyu  Cheng and Herong  Wang and Fan  Yang and Na  Feng and Yifan  Tian},
        title={Research on the Influence of Background Characteristics of Enterprise Executive Teams on Earnings Management},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={executive team; background characteristics; earnings management; jones modified model},
        doi={10.4108/eai.19-5-2023.2334206}
    }
    
  • Yifan Yang
    Xinglei Li
    Weiyu Cheng
    Herong Wang
    Fan Yang
    Na Feng
    Yifan Tian
    Year: 2023
    Research on the Influence of Background Characteristics of Enterprise Executive Teams on Earnings Management
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334206
Yifan Yang1,*, Xinglei Li2, Weiyu Cheng3, Herong Wang4, Fan Yang5, Na Feng6, Yifan Tian7
  • 1: Hebei University
  • 2: Jilin University of Finance and Economics
  • 3: Nanjing University of Finance and Economics
  • 4: Nanjing Forestry University
  • 5: Ludong University
  • 6: T Japanese language and literature Bohai University
  • 7: Huainan Normal University
*Contact email: 571588807@qq.com

Abstract

This study is supported by the upper echelon theory and uses the modified Jones model as a benchmark to measure two types of earnings management strategies: accrual-based earnings management and real earnings management. At the same time, the study examines the impact of the overall background characteristics of the executive team, including age, gender, education level, and financial industry experience, as proxy variables, on the choice of earnings management strategies. The results show that executive teams nearing retirement age and with a higher proportion of female members tend to pursue stability and are reluctant to implement earnings management strategies. Executive teams with higher educational levels are more inclined to implement real earnings management, while those with lower educational levels are more inclined towards accrual-based earnings management. Through this study, empirical evidence is provided for a deeper understanding of earnings management strategies among listed companies, and policy references are provided for regulatory authorities to increase supervision and utilize external audits.