A Study on Green Innovation, Financing Constraints and Financial Performance of Listed Companies
- DOI
- 10.2991/978-94-6463-030-5_19How to use a DOI?
- Keywords
- Green Innovation; Financial Performance; Financing Constraints
- Abstract
The paper studies the relationship between green innovation, financing constraints and financial performance of listed companies, using the sample of the A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2019. The study finds that the financial performance of listed companies is significantly positively correlated with their green innovation capabilities, and it can help improve financial performance for the strengthening of green innovation by listed companies. Then, the paper also finds that the financing constraints of listed companies negatively moderate the relationship between financial performance and green innovation. Through Comparing with listed companies with large financing constraints, for the listed companies with small financing constraints, there is a more significant role in promoting financial performance from green innovation. Therefore, companies should strengthen green investment and improve their green innovation capabilities; The government should optimize the green financing environment and ease corporate financing constraints.
- 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 - Jianjun Li AU - Yuanyuan Wang PY - 2022 DA - 2022/12/20 TI - A Study on Green Innovation, Financing Constraints and Financial Performance of Listed Companies BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 170 EP - 179 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_19 DO - 10.2991/978-94-6463-030-5_19 ID - Li2022 ER -