经济与管理研究2026，Vol.47Issue(5)：98-114,17.DOI:10.13502/j.cnki.issn1000-7636.2026.05.007
人工智能创新发展缓解了供应链长鞭效应吗?
Does AI Innovative Development Alleviates Bullwhip Effect in Supply Chains?
摘要
Abstract
The bullwhip effect disrupts supply chain stability by amplifying minor demand fluctuations into significant upstream distortions,leading to excess inventory,stockouts,and rising costs.Traditional mitigation strategies struggle to effectively address supply chain bullwhip effects due to coordination challenges and response delays.Artificial intelligence(AI)offers a potential solution to this dilemma.The new generation of national AI innovative development pilot zones,launched in 2019,provides comprehensive support for firms'digital and intelligent transformation.This paper aims to evaluate the economic impact of AI pilot zones in reducing the bullwhip effect,offering a theoretical understanding and practical strategies for AI-enabled supply chain resilience. Using data from China's A-share listed companies and their prefecture-level cities from 2010 to 2023,this paper employs a difference-in-differences model to examine the impact of AI pilot zones on the bullwhip effect in corporate supply chains.The findings confirm that these zones have a positive impact on alleviating the bullwhip effect in supply chains.The conclusion holds after addressing endogeneity issues and conducting robustness checks.Mechanism tests indicate that these zones strengthen inventory management by promoting AI adoption and operational efficiency,and improve supply chain collaboration by enhancing relationship stability.Information disclosure quality and cost stickiness reinforce the policy effectiveness.Heterogeneity analysis shows that the effects are more pronounced for firms that focus on real industries,engage in diversified operations,and embed into the platform ecosystem. The potential marginal contributions of this paper are as follows.First,it breaks through the digital technology empowerment perspective of traditional supply chain management research,focusing on AI innovation development policy tools and analyzing their institutional impacts.Unlike market-driven digital technology R&D and application,the establishment of AI pilot zones has clear policy objectives,admission criteria,and resource allocation orientation,providing targeted support for computing resources,data factors,application scenarios,and collaborative innovation mechanisms.By promoting the introduction of intelligent forecasting,intelligent decision-making,and data collaboration systems,it more specifically alleviates information asymmetry in supply chains and reduces transaction costs arising from demand misjudgment,information lag,and coordination friction.Second,it enriches the theoretical system of bullwhip effect governance in supply chains,supplementing the understanding of supply chain fluctuations by focusing on innovation development policy rather than merely on technology application.It provides a new theoretical perspective for analyzing how institutional innovation affects corporate supply chain operations.These contributions enrich supply chain management theory and provide references for the strategic deployment of AI-driven initiatives.关键词
人工智能/供应链管理/供应链协同/长鞭效应/平台生态嵌入Key words
artificial intelligence/supply chain management/supply chain collaboration/bullwhip effect/platform ecological embedding分类
管理科学引用本文复制引用
陈蕾,周锴,董惠敏..人工智能创新发展缓解了供应链长鞭效应吗?[J].经济与管理研究,2026,47(5):98-114,17.基金项目
国家社会科学基金一般项目"数据要素市场化配置的流通生态、效率测度与治理优化研究"(24BGL236) （24BGL236）
