Research on Green Innovation and Corporate Performance: an Empirical Study Based on Listed Companies in China
- DOI
- 10.2991/978-94-6463-744-1_8How to use a DOI?
- Keywords
- Green Innovation; Firm Performance; Organizational Redundancy; Dynamic Capabilities; Government Subsidies; Environmental Regulation
- Abstract
This study explores the relationship between green innovation and firm performance among Chinese listed companies, focusing on the moderating effects of organizational redundancy, dynamic capabilities, government subsidies, and environmental regulations[17][18][19]. Using data from A-share listed manufacturing companies from 2011–2020, the research employs empirical methods to analyze the impact of green innovation on corporate performance.[20][21] The findings reveal that green innovation significantly enhances firm performance, with organizational redundancy, dynamic capabilities, and environmental regulations positively moderating this relationship. Conversely, government subsidies exhibit a negative moderating effect. The study provides valuable insights for firms and policymakers aiming to promote green transformation and sustainable development.
- Copyright
- © 2025 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 - Xiaofeng Liang PY - 2025 DA - 2025/05/28 TI - Research on Green Innovation and Corporate Performance: an Empirical Study Based on Listed Companies in China BT - Proceedings of the 2025 5th International Conference on Public Management and Intelligent Society (PMIS 2025) PB - Atlantis Press SP - 63 EP - 71 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-744-1_8 DO - 10.2991/978-94-6463-744-1_8 ID - Liang2025 ER -