Research on the Impact of Corporate Compensation Management Mechanism on Corporate Performance and Innovation Capability Based on the Context of Big Data Science
- DOI
- 10.2991/978-94-6463-256-9_165How to use a DOI?
- Keywords
- Corporate perspective; Investor perspective; ESG performance; GEM; regression model; Compensation management mechanism; Firm performance
- Abstract
This paper first analyzes the impact of ESG performance on the companies themselves from the perspective of the companies and investors to May 2020 Shenzhen created the GEM has 74 companies, using regression models to analyze the impact of compensation management mechanisms on company performance and innovation, respectively. The results show that: company performance is positively correlated with shareholding with a correlation coefficient of 0.523 and a significance probability Sig. = 0.005 < 0.05. The regression coefficient of employee compensation on innovation output is 0.079, which is significantly positively correlated at the 1% level. This study has a guiding role in promoting companies to practice ESG performance and promote the healthy development of the capital market.
- Copyright
- © 2024 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 - Yidi Liu PY - 2023 DA - 2023/10/09 TI - Research on the Impact of Corporate Compensation Management Mechanism on Corporate Performance and Innovation Capability Based on the Context of Big Data Science BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1624 EP - 1632 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_165 DO - 10.2991/978-94-6463-256-9_165 ID - Liu2023 ER -