Issue |
BIO Web Conf.
Volume 130, 2024
International Scientific Conference on Biotechnology and Food Technology (BFT-2024)
|
|
---|---|---|
Article Number | 04001 | |
Number of page(s) | 13 | |
Section | Medical Biotechnology and Community Health | |
DOI | https://doi.org/10.1051/bioconf/202413004001 | |
Published online | 09 October 2024 |
Research on incentive and technological innovation models of biopharmaceutical companies
Peoples' Friendship University of Russia, Faculty of Economics, Moscow, Russia
* Corresponding author: Violetearwkx@outlook.com
This article selects biopharmaceutical enterprises listed in high-tech industry as samples, using the Heckman selection model effectively avoid sample bias and according to linear analysis, this research tests the influence between senior management incentives and technological innovation based on the Chinese biopharmaceutical enterprises listed in high tech industry in a certain period. The empirical research results indicate that there is not a simple linear correlation between short-term salary incentives and technological innovation, and there is a curve relationship that first decreases and then increases among them; Long term equity incentives have a significant positive impact on technological innovation. This research aimed to find the maximum value of incentives, propose countermeasures and suggestions to avoid excessive salary incentives, appropriately improve the level of stock-based compensation, and establish a reasonable senior management incentive system for insight.
Key words: Heckman selection model / biopharmaceutical industry / technological innovation / executive incentive
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.