Research on the Impact of Artificial Intelligence on the Resilience of the Manufacturing Industry Chain

Ligang Wang, Ruimin Lin and Weihong Xie ()
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Ligang Wang: School of Economics, Guangdong University of Technology, Guangzhou 510630, China
Ruimin Lin: School of Economics, Guangdong University of Technology, Guangzhou 510630, China
Weihong Xie: School of Economics, Guangdong University of Technology, Guangzhou 510630, China

Sustainability, 2025, vol. 17, issue 21, 1-21

Abstract: Artificial intelligence (AI) is of enormous significance for enhancing the resilience of the manufacturing industry chain, providing opportunities and momentum. We examine the impact of AI on the resilience of the manufacturing industry chain using a sample of listed manufacturing companies from 2011 to 2023. The results indicate that AI significantly improves the resilience of the manufacturing industry chain. Heterogeneity analysis reveals that the promoting effect of AI on manufacturing industry chain resilience is more pronounced in growth-stage enterprises, large-scale enterprises, enterprises in eastern regions, regions with high marketization levels, and financially distressed enterprises. Furthermore, mechanism tests indicate that AI enhances the resilience of the manufacturing industry chain by promoting firms’ ESG performance, facilitating knowledge spillovers, and increasing stock price synchronicity. The findings provide empirical evidence for the mechanisms and pathways to enhance the resilience of the manufacturing industry chain, offering insights into how AI can empower the high-quality development of China’s economy.

Keywords: artificial intelligence; resilience of the manufacturing industry chain; ESG performance; knowledge spillover; stock price synchronicity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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