Assessing Institutional Investor Attention’s Impact on Corporate Innovation: A Computational Analysis of Dual Incentives
- DOI
- 10.2991/978-94-6463-598-0_39How to use a DOI?
- Keywords
- Institutional investor attention; Enterprise innovation investment; Equity incentive; Compensation incentive; Mediating effect
- Abstract
Utilising investor data from Shenzhen Stock Exchange’s “Interactive Easy” platform and listed company data, this paper constructs an institutional investor attention index to explore its impact on corporate innovation investment. Results demonstrate that increased institutional investor attention significantly boosts corporate innovation investment through equity and compensation incentives, with executive compensation incentives playing a pivotal mediating role. This effect is more pronounced in non-state-owned enterprises than in state-owned ones. The findings suggest external institutional investor attention enhances corporate governance, advocating for regulatory efforts to broaden information exchange channels for investors and encourage listed companies to engage in enterprise research.
- 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 - Ben Liu AU - Huiyue Liu PY - 2024 DA - 2024/12/19 TI - Assessing Institutional Investor Attention’s Impact on Corporate Innovation: A Computational Analysis of Dual Incentives BT - Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024) PB - Atlantis Press SP - 377 EP - 391 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-598-0_39 DO - 10.2991/978-94-6463-598-0_39 ID - Liu2024 ER -