This study examines the enhancement of China’s textile export competitiveness through digital transformation and technological innovation. Using a panel fixed-effects regression model with provincial data from 31 Chinese regions (2008-2022), we analyse the impact of digital adoption and innovation capacity on export performance. The findings reveal that digitalisation significantly improves operational efficiency by 12-15% through automated processes and datadriven supply chain optimisation, while reducing production costs by 8-10% via resource allocation enhancement. Crossborder e-commerce platforms expand market reach by 20%, enabling direct global customer engagement. Technological innovation, measured by R&D investment and patent outputs, contributes 18% to product differentiation through highperformance fibre materials and AI-driven production systems. Regional heterogeneity is pronounced: eastern provinces demonstrate 40% higher digital infrastructure maturity compared to central/western regions, resulting in 25% greater export growth. The mediating effect analysis confirms that supply chain digitalisation reduces logistics costs by 15%, while brand internationalisation strategies (overseas mergers) increase market share by 12%. However, trade protectionism and raw material price volatility remain critical challenges. Practical implications include prioritising government support for SME digitalisation in inland regions, establishing regional innovation hubs, and promoting green manufacturing standards. These findings align with global value chain theory, emphasising dynamic capability development in volatile markets.

global economic integration, international competitiveness, innovation, global trade