ORIGINAL RESEARCH
Does Digital Economy Promote Enterprise Green
Innovation? Evidence from Listed Heavy-Polluting
Enterprises in China
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1
School of Government, University of International Business and Economics, Beijing,100029, China
2
Center for Innovation-Driven Development, NDRC, 100038, P.R. China
Submission date: 2022-12-03
Final revision date: 2023-04-07
Acceptance date: 2023-05-20
Online publication date: 2023-08-03
Publication date: 2023-09-08
Corresponding author
Rui Zhao
School of Government, University of International Business and Economics, Beijing,100029, China
Pol. J. Environ. Stud. 2023;32(5):4919-4929
KEYWORDS
TOPICS
ABSTRACT
In the digital era, enterprises need to explore the green development path to achieve sustainable
development. Whether the digital economy can promote enterprises’ green innovation has thus become
an important issue. Based on the panel data of heavy-polluting enterprises in 352 cities in China from
2015 to 2019, this article analyzes the impact of the digital economy on enterprises’ green innovation
and yields three main findings: A positive relationship between the digital economy and heavy-polluting
enterprises’ green innovation is confirmed and accompanied by the lag effect. Mechanism analysis
indicates that absorption capacity plays an important mediating role in this process. Further, the
hypothesis concerning the U-shaped relationship is proved empirically, indicating that heavy-polluting
enterprises’ green innovation can be improved under the digital economy shocks but with a specific
level context. This article suggests that the government should pay attention to the digital economy
development, and encourage enterprises to increase investment in scientific research. This research
provides empirical evidence for the effectiveness of applying the digital economy in advancing green
innovation in China’s heavy-polluting enterprises.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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