Personal Characteristics of Female Executives and Corporate Solvency Based on CatBoost Analysis
- DOI
- 10.2991/978-94-6463-098-5_99How to use a DOI?
- Keywords
- Component; Corporate Governance; Solvency; CatBoost; Factor Analysis
- Abstract
Executive characteristics were once a hot topic in corporate management research. However, related studies lacked more detailed analysis, for example, using gender as a control variable to study the impact of female executive characteristics in corporate management. This paper uses the CatBoost algorithm for the first time to explore the predictability of personal characteristics of female executives on corporate solvency, using Chinese listed firms from 2016 to 2021 as a research sample. It was found that (1) among all the variables studied, the personal characteristics of female corporate executives did not highlight a strong predictive power on solvency; (2) among the personal characteristics of female executives, the relative importance of the presence of human resources, management and marketing backgrounds and the presence of both chairman and CEO were higher and had a relatively high degree of prediction on corporate solvency.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chenya Huang PY - 2022 DA - 2022/12/27 TI - Personal Characteristics of Female Executives and Corporate Solvency Based on CatBoost Analysis BT - Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022) PB - Atlantis Press SP - 864 EP - 873 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-098-5_99 DO - 10.2991/978-94-6463-098-5_99 ID - Huang2022 ER -