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Green Technology Innovation and Enterprise Performance: An Analysis Based on Causal Machine Learning Models

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成果类型:
期刊论文
作者:
Huang, Xuanai;Wang, Yaozhong;Chen, Ying;Hu, Zunguo
通讯作者:
Chen, Y
作者机构:
[Wang, Yaozhong; Hu, Zunguo; Huang, Xuanai] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 417000, Peoples R China.
[Chen, Ying; Chen, Y] Guangdong Polytech Normal Univ, Sch Finance & Econ, Guangzhou 510665, Peoples R China.
通讯机构:
[Chen, Y ] G
Guangdong Polytech Normal Univ, Sch Finance & Econ, Guangzhou 510665, Peoples R China.
语种:
英文
关键词:
green innovation;enterprise performance;causal forest;machine learning
期刊:
Sustainability
ISSN:
2071-1050
年:
2024
卷:
16
期:
6
页码:
2309-
基金类别:
This research received no external funding.
机构署名:
本校为第一机构
院系归属:
经济与管理学院
摘要:
As increasingly stringent environmental regulations are put into effect, Environmental, Social, and Governance (ESG) concepts are being seamlessly integrated into the core of corporate innovation strategies. Due to the quasi-public product perspective of green innovation, the performance of enterprises as a result of green innovation activities exhibits significant heterogeneity. This heterogeneity exists not only between corporate value and financial performance but also among individual enterprises. This paper is based on a sample of 1510 listed Chinese companies examined from 2013 to 2020 a...

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