Regional Digital Innovation Ecosystem Resilience

Anchored in resource orchestration theory, this study explores the resource configurations that enhance resilience in regional digital innovation ecosystems. Utilizing panel data from 30 Chinese provinces (2019–2023), it employs dynamic Qualitative Comparative Analysis (QCA) to identify configurational pathways for resilience enhancement. Additionally, one-way analysis of variance (ANOVA) and Kruskal-Wallis tests are conducted to examine spatial variations in configurational coverage. The key findings are as follows: (1) No single condition is necessary for achieving high-level resilience; however, data resources demonstrate an increasing temporal influence, becoming progressively more crucial. (2) Four high-level resilience pathways are identified, categorized into two models: Financial-Platform Empowerment and Physical-Technology-Data Synergy. Both models emphasize the interplay of traditional and digital resources. (3) Configurational analysis indicates no significant temporal or spatial distribution effects. These findings advance theoretical insights into regional digital innovation ecosystem resilience and provide empirical guidance for policy formulation and strategic decision-making.