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Can local environmental constraints improve enterprise's green innovation quality? Evidence from Chinese-listed firms.

Authors :
Zhu, Yuke
Gao, Honggui
Hu, Yanan
Ding, Qinan
Tang, Yiding
Source :
Environmental Science & Pollution Research; Jan2023, Vol. 30 Issue 1, p389-406, 18p
Publication Year :
2023

Abstract

The target responsibility system of environmental protection is one of the vital channels to achieve a win–win situation for both economic development and environmental protection. Comprehensively investigating how local environmental target constraints drive enterprises to improve their green innovation quality is of enormous theoretical and practical significance for optimizing the implementation effect of environmental target constraints policies and boosting enterprises' green and high-quality development. We empirically examine the mechanism of the impact of the intensity of different types of local environmental target constraints on the quality of corporate green innovation and the nonlinear relationship between them through innovatively constructing indicators of local environmental target constraint intensity and utilizing the knowledge width of green patents of listed companies as a proxy variable for enterprise green innovation quality. First, the strength of indirect environmental target constraints has a significant positive effect on the quality of green innovation, but further nonlinear characteristics reveal a significant inverse U-shaped relationship between them. Second, indirect environmental target constraint intensity has an inverted U-shaped trend in increasing the intensity of environmental regulation and influencing the digitalization of enterprises, which in turn forms an inverted U-shaped relationship with the quality of green innovation. Third, indirect environmental target constraint intensity works better in areas with policies prioritizing city over province, with mayors less than 57 years old, and for enterprises in technology-intensive industries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09441344
Volume :
30
Issue :
1
Database :
Complementary Index
Journal :
Environmental Science & Pollution Research
Publication Type :
Academic Journal
Accession number :
161136176
Full Text :
https://doi.org/10.1007/s11356-022-22161-2