经济与管理2026，Vol.40Issue(2)：28-35,8.
人工智能应用与制造业企业供应链韧性提升
Artificial Intelligence Applications and Enhancing Supply Chain Resilience in Manufacturing Enterprises
摘要
Abstract
Enhancing the supply chain resilience of manufacturing enterprises constitutes a crucial measure for advancing their high-quality development,with innovative applications of artificial intelligence offering novel pathways to achieve this objective.Drawing upon data from A-share listed manufacturing companies spanning 2011 to 2023,this study employs a natural experiment defined by the establishment of national artificial intelligence innovation pilot zones.Utilizing a multi-period difference-in-differences approach,it empirically examines the impact of AI adoption on supply chain resilience within manufacturing firms.The findings reveal that the pilot zone policy significantly enhances supply chain resilience in manufacturing enterprises,a conclusion that remains robust after stability testing.This policy improves supply chain resilience through three transmission channels:accelerating digital transformation,elevating total factor productivity,and strengthening innovation capabilities.Heterogeneity analysis indicates that the policy effect is more pronounced among non-state-owned enterprises,highly competitive markets,and high-tech manufacturing firms.Further analysis reveals that the policy significantly enhances both supply chain resilience and supply chain efficiency in manufacturing enterprises.Recommendations include deepening the integration of artificial intelligence with supply chains,implementing targeted policy support,and strengthening supply chain risk-resistance capabilities.关键词
人工智能/制造业企业供应链韧性/企业数字化转型/企业全要素生产率/企业创新Key words
artificial intelligence/supply chain resilience in manufacturing enterprises/enterprise digital transformation/total factor productivity of enterprises/corporate innovation分类
管理科学引用本文复制引用
吕康银,张恒瑞,刘乐乐..人工智能应用与制造业企业供应链韧性提升[J].经济与管理,2026,40(2):28-35,8.基金项目
教育部人文社科研究规划基金项目(24YJAZH103) （24YJAZH103）
