This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
Intelligent Manufacturing Dynamic Capabilities and Corporate Green Innovation: Empirical Evidence from China
by
Can Ding
Can Ding 1,2
,
Jianxin Xu
Jianxin Xu 1 and
Jing Li
Jing Li 3,*
1
Research Institute of International Economics and Management, Xihua University, Chengdu 610039, China
2
School of Management, Xihua University, Chengdu 610039, China
3
Institute of Public Management, Sichuan Academy of Social Sciences, Chengdu 610071, China
*
Author to whom correspondence should be addressed.
Sustainability 2026, 18(12), 6053; https://doi.org/10.3390/su18126053 (registering DOI)
Submission received: 8 May 2026
/
Revised: 3 June 2026
/
Accepted: 9 June 2026
/
Published: 12 June 2026
Abstract
Against the backdrop of accelerating digitalization and intelligent transformation, intelligent manufacturing has emerged as a key driver of green transition in manufacturing. However, evidence on its effects and the mechanisms underlying corporate green innovation remains limited. Using panel data of Chinese A-share manufacturing firms from 2011 to 2023, this study exploits the pilot policy of intelligent manufacturing as a quasi-natural experiment and employs a difference-in-differences (DID) approach. Results indicate that intelligent manufacturing significantly enhances firms’ green innovation, with robust evidence across multiple checks. Mechanism analysis shows that this effect operates through an integrated dynamic capability channel, whereby firms strengthen their adaptive capability, absorptive capability for green knowledge and digital technologies, and innovation capability through technological integration, thereby improving green innovation. Moreover, intellectual property protection strengthens this mechanism by increasing innovation returns and enhancing the capability-to-innovation conversion efficiency. Heterogeneity results suggest stronger effects in non-high-tech firms, non–heavily polluting industries, and technology-intensive firms, reflecting differences in digital readiness and resource reconfiguration capacity. Overall, this study provides causal evidence on the green effects of intelligent manufacturing, clarifies internal mechanisms, and highlights institutional and firm-level heterogeneity, with implications for digital-driven green transformation and policy design.
Share and Cite
MDPI and ACS Style
Ding, C.; Xu, J.; Li, J.
Intelligent Manufacturing Dynamic Capabilities and Corporate Green Innovation: Empirical Evidence from China. Sustainability 2026, 18, 6053.
https://doi.org/10.3390/su18126053
AMA Style
Ding C, Xu J, Li J.
Intelligent Manufacturing Dynamic Capabilities and Corporate Green Innovation: Empirical Evidence from China. Sustainability. 2026; 18(12):6053.
https://doi.org/10.3390/su18126053
Chicago/Turabian Style
Ding, Can, Jianxin Xu, and Jing Li.
2026. "Intelligent Manufacturing Dynamic Capabilities and Corporate Green Innovation: Empirical Evidence from China" Sustainability 18, no. 12: 6053.
https://doi.org/10.3390/su18126053
APA Style
Ding, C., Xu, J., & Li, J.
(2026). Intelligent Manufacturing Dynamic Capabilities and Corporate Green Innovation: Empirical Evidence from China. Sustainability, 18(12), 6053.
https://doi.org/10.3390/su18126053
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article Access Statistics
For more information on the journal statistics, click
here.
Multiple requests from the same IP address are counted as one view.