Does Intelligent Manufacturing Contribute to the Enhancement of Carbon Emission Performance? Evidence from Total Factor Carbon Emission Performance

Weibo Jin, Yuqi Zhang, Yao Xu, Yi Zhang, Yanggi Kim () and Yi Yan
Additional contact information
Weibo Jin: Business School, Qingdao University of Technology, Qingdao 266520, China
Yuqi Zhang: Business School, Qingdao University of Technology, Qingdao 266520, China
Yao Xu: Business School, Qingdao University of Technology, Qingdao 266520, China
Yi Zhang: Business School, Qingdao University of Technology, Qingdao 266520, China
Yanggi Kim: Business School, Qilu Institute of Technology, Jinan 250200, China
Yi Yan: Business School, Qingdao University of Technology, Qingdao 266520, China

Sustainability, 2024, vol. 16, issue 19, 1-24

Abstract: The deep integration of intelligent technology and the manufacturing industry is a crucial driving force for promoting green and low-carbon development, which is a key strategy for achieving sustainable development. Using panel data from 30 provinces in mainland China from 2010 to 2022, this study measures the level of intelligent development and the total factor carbon emission performance (TFCEP). Additionally, a mediating effect model is constructed to explore the impact of intelligent manufacturing (IM) on carbon emission performance (CEP) and its underlying mechanisms. The findings reveal that (1) the intellectualization of the manufacturing industry significantly enhances CEP, a conclusion that remains robust under various tests; (2) the impact of IM on CEP varies by regional geographical locations, the degree of economic agglomeration (EA), and whether the province is a low-carbon pilot area; and (3) the mechanism analysis indicates that IM improves CEP by promoting EA. Given that China is the world’s largest manufacturing country and the largest carbon emitter, analyzing the impact of its IM on CEP provides valuable theoretical insights and practical experiences for China and other manufacturing countries aiming to achieve a win–win situation of sustainable economic development and environmental improvement.

Keywords: intelligent manufacturing; carbon emission performance; economic agglomeration; green low carbon (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/19/8443/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/19/8443/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:19:p:8443-:d:1487701

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().