Further analyses the test results.

As global manufacturing competition increasingly emphasizes supply chain resilience, enhancing the risk resistance of manufacturing supply chains through digital empowerment has become a critical priority. This study leverages the opportunities of the digital economy to deeply investigate the mechanisms that enhance supply chain resilience. Using data from China’ s A-share listed manufacturing companies from 2012 to 2020, a research framework is constructed based on information asymmetry and transaction cost theories. Employing text analysis and factor analysis, the study develops indicators for digital empowerment and supply chain resilience and examines their relationship through both theoretical analysis and empirical testing. The findings reveal that: (a) Digital empowerment significantly enhances supply chain resilience in the manufacturing sector, and this conclusion is robust across various robustness checks. (b) Mechanism analysis demonstrates that digital empowerment drives supply chain resilience primarily by enhancing innovation vitality within enterprises. (c) The moderating analysis shows that environmental uncertainty positively influences the resilience of digitally empowered manufacturing supply chains. (d) Further analysis indicates that the effects of digital empowerment on supply chain resilience vary depending on factor intensity, supply chain position, and industry competition levels. These results validate the positive role of digital empowerment in promoting supply chain resilience and explore the ’black box’ mechanism from the perspective of innovation vitality. The study also highlights the moderating influence of environmental uncertainty. By advancing the understanding of how the digital economy fosters high-quality development in manufacturing, this research provides actionable insights for strengthening supply chain resilience, achieving greater control over supply chain dynamics, and promoting deeper integration between digital technologies and the real economy.

随着全球制造业竞争日益强调供应链韧性，通过数字化赋能提升制造业供应链的风险抵御能力已成为关键要务。本研究依托数字经济的发展机遇，深入探究提升供应链韧性的作用机制。研究以2012至2020年中国A股上市制造业企业数据为基础，基于信息不对称（information asymmetry）与交易成本（transaction cost）理论构建研究框架。通过文本分析（text analysis）与因子分析（factor analysis），本研究构建了数字化赋能与供应链韧性的量化指标，并通过理论分析与实证检验考察二者的关联关系。研究结果显示：(a) 数字化赋能可显著提升制造业供应链韧性，且该结论在多项稳健性检验中均保持稳健；(b) 机制分析表明，数字化赋能主要通过增强企业内部创新活力推动供应链韧性提升；(c) 调节分析显示，环境不确定性对数字化赋能后的制造业供应链韧性具有正向调节作用；(d) 进一步分析表明，数字化赋能对供应链韧性的影响效果因要素密集度（factor intensity）、供应链地位（supply chain position）以及行业竞争水平（industry competition levels）而异。上述结果验证了数字化赋能在促进供应链韧性提升中的积极作用，并从创新活力视角揭开了这一影响的“黑箱”机制。本研究同时凸显了环境不确定性的调节效应。通过深化对数字经济如何推动制造业高质量发展的认知，本研究为强化供应链韧性、提升供应链动态掌控能力以及促进数字技术与实体经济深度融合提供了可操作的实践启示。