中原工学院学报

“双碳”目标驱动下，传统供应链面临信息孤岛与绿色创新动力不足的挑战。基于中国A股制造业上市公司数据，构建“技术驱动—机制设计—绩效转化”框架，探究数字技术赋能供应链整合提升绿色绩效的路径。研究发现：物联网与区块链技术分别通过数据共享和流程协同显著促进绿色绩效的提升，而人工智能受限于中小企业技术能力；差分隐私技术通过平衡数据共享与隐私保护可间接提升绿色绩效，联邦学习则加速绿色技术分布式创新；随着政策规制的加强，数字技术赋能的绿色绩效也得到了显著提升，凸显了政策与技术的协同价值。

Driven by the “dual carbon” goals, traditional supply chains are facing challenges such as information silos and insufficient green innovation. Based on data from A-share listed companies in China's manufacturing sector, this paper constructs a “technology-driven-mechanism design-performance transformation” framework to explore the path of supply chain integration enabled by digital technology to enhance green performance. The study finds: IoT and blockchain technologies significantly enhance green performance through data sharing and process collaboration, while AI is constrained by the technical capabilities of small and medium-sized enterprises; differential privacy technology indirectly enhances green performance by balancing data sharing and privacy protection, while federated learning accelerates distributed innovation in green technologies; as policy regulation strengthens, digital technology-driven green performance is reinforced, emphasizing the importance of policy-technology synergy.