An Empirical Study on the Impact of Green Innovation on Financial Performance of Coal Firms — Moderating Effects Based on Firms’ Policy Sensitivity
Jing Wang
Chapter 82 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 928-938 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
This paper selects the panel data of listed companies in China’s coal mining industry from 2015-2021 as the research sample and constructs a theoretical relationship model to empirically analyze the impact of corporate green innovation on financial performance based on the perspective of corporate policy sensitivity. The study shows that: the green innovation of coal enterprises has a significant contribution to financial performance and corporate policy sensitivity; corporate policy sensitivity has a positive relationship with financial performance and a significant moderating effect between green innovation and financial performance. Based on the above findings, relevant suggestions such as increasing the intensity of R&D investment, enhancing policy sensitivity, and increasing environmental protection investment are proposed.
Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789811270277_0082 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789811270277_0082 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789811270277_0082
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().