ORIGINAL RESEARCH
Enterprise Digital Transformation and Green Technology Innovation: Evidence from Innovation Sub-Dimension and Time Lag Effect
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1
School of Economics, Beijing Technology and Business University, Beijing, 102488, China
 
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Economics Department, Irvine Valley College, Irvine, 92618, USA
 
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School of Finance, Central University of Finance and Economics, Beijing, 102206, China
 
 
Submission date: 2023-11-10
 
 
Final revision date: 2024-01-03
 
 
Acceptance date: 2024-01-23
 
 
Online publication date: 2024-03-15
 
 
Publication date: 2025-01-02
 
 
Corresponding author
Yongjian Huang   

School of Finance, Central University of Finance and Economics, Beijing, 102206, China
 
 
Pol. J. Environ. Stud. 2025;34(1):177-186
 
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ABSTRACT
With the development of digital and green economies, enterprise digital transformation inventively promotes green technological innovation. Using data from listed companies in Shanghai and Shenzhen from 2008 to 2021 with text analysis, we construct a multidimensional fixed-effect model to study the impact of enterprise digital transformation on green technology innovation. We find that enterprise digital transformation promotes green technology innovation, holding after a series of robustness tests and endogeneity treatments, by reducing financing constraints and easing enterprise risks. Further analysis shows that among the two sub-dimensions of enterprise green technology innovation, the promotion effect on independent innovation of green technology is more prominent. There is also a time lag effect in the promotion effect on both green technology innovation and its sub-dimensions, showing a tendency to enhance and then weaken. Moreover, the positive effect of enterprise digital transformation is more significant in heavy pollution industries, alongside non-state-owned and small-scale enterprises, with different performances in sub-dimension.
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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