%0 Journal Article
%T 产业数字化对制造业产业链韧性的影响研究<br>Research on the Impact of Industrial Digitalization on the Resilience of the Manufacturing Industry Chain
%A 王学志
%J E-Commerce Letters
%P 3481-3488
%@ 2168-5851
%D 2025
%I Hans Publishing
%R 10.12677/ecl.2025.1451664
%X 随着在全球供应链高度融合与复杂化的背景下&#65292;制造业产业链的脆弱性日益凸显&#65292;如何增强产业链的稳定性、适应性和抗风险能力成为学术界和政策领域关注的重要课题。产业数字化作为推动制造业向智能化、柔性化升级的核心动力&#65292;为提升制造业产业链韧性提供了新的路径。然而&#65292;产业数字化如何作用于制造业产业链韧性、其影响机制及在不同发展阶段的作用差异仍有待深入研究。基于此&#65292;本文以我国31个省(市、区)为研究对象&#65292;构建制造业产业链韧性和产业数字化的综合评价指标体系&#65292;运用熵权法测度2011~2023年的数据&#65292;并基于面板双固定效应模型实证分析产业数字化对制造业产业链韧性的直接影响&#65292;同时采用稳健性检验和工具变量法验证结论的可靠性。<br>Against the backdrop of highly integrated and complex global supply chains, the vulnerability of manufacturing industry chains has become increasingly prominent. Enhancing the stability, adaptability, and risk resistance of industry chains has become a key concern in both academic and policy circles. Industrial digitalization, as a core driver of intelligent and flexible upgrades in manufacturing, provides a new pathway for enhancing the resilience of manufacturing industry chains. However, the mechanisms through which industrial digitalization influences industry chain resilience and its varying effects at different development stages require further research. Based on this, this study selects 31 provinces (municipalities and autonomous regions) in China as research objects, constructs a comprehensive evaluation index system for manufacturing industry chain resilience and industrial digitalization, and employs the entropy weight method to measure data from 2011 to 2023. A panel data model with two-way fixed effects is used to empirically analyze the direct impact of industrial digitalization on the resilience of manufacturing industry chains. Additionally, robustness tests and instrumental variable methods are applied to verify the reliability of the findings.
%K 产业数字化&#65292
%K 制造业产业链韧性&#65292
%K 中介效应分析&#65292
%K 异质性分析<br>Industrial Digitalization
%K Industry Chain Resilience
%K Mediating Effect Analysis
%K Heterogeneity Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=116358