Research on the Influence of Executives’ Academic Experience on Green Innovation Based on SPSS
- DOI
- 10.2991/978-94-6463-172-2_44How to use a DOI?
- Keywords
- SPSS; correlation analysis; linear regression analysis; green innovation; academic experience of executives
- Abstract
Implementing green innovation is an important way for enterprises to enhance their competitiveness in the context of high-quality development. This study uses the data of A-share-listed manufacturing companies from 2015–2020 as samples. SPSS software was used to conduct correlation analysis and regression analysis on the academic experience of executives and the green innovation of enterprises. Furthermore, this study used the SPSS software to test the regulatory role of government subsidies. The results show that the academic experience of executives can improve the green innovation ability of enterprises. The conclusion remains valid after multiple tests, including lagged variables and changing variable measures. Government subsidies have a positive moderating effect on the influence process of executives’ academic experience on the green innovation of enterprises. The research results enrich the literature of upper-echelon theory and provide a reference for enterprises to improve green innovation.
- 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 - Zijun Tian AU - Tontong Wang PY - 2023 DA - 2023/06/30 TI - Research on the Influence of Executives’ Academic Experience on Green Innovation Based on SPSS BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 396 EP - 406 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_44 DO - 10.2991/978-94-6463-172-2_44 ID - Tian2023 ER -