How does technological innovation drive green growth in China's complex environments? A configurational approach

This article employs asymmetric configuration theory and methods to investigate how technological innovation drives regional green growth in China's complex environment. Specifically, the pooled QCA method is employed to identify multiple driving paths for technological innovation-driven regional green growth. Three configurations for high green growth have been identified: (1) a configuration with high IRD (internal R&D), non-high GS (government support), non-high TM (technology market), and non-high ER (environmental regulation) as core conditions; (2) a configuration with high IRD, non-high NRD (non-R&D) and non-high ER as core conditions complemented by high TM; and (3) a configuration with high levels of IRD, ERD (external R&D) and TM, and non-high ER as core conditions. Furthermore, high IRD is essential for green growth, while strict environmental regulations may be detrimental. This article offers a theoretical basis for adjusting innovation strategies or improving relevant policies to promote green growth in China.