New productivity has emerged as a core driver of high-quality economic development, and its formation is increasingly shaped by data elements and technological innovation. Building on the theoretical framework of new productivity, this study conducts a systematic empirical investigation of how data elements promote new productivity through technological innovation pathways. Using a combination of Chinese provincial-level panel data and firm-level microdata from 2011 to 2023, the paper examines the driving effects, underlying mechanisms, heterogeneity patterns, and spatial spillovers associated with data elements.The results of this paper proposes policy implications including improving data openness and data trading systems, strengthening targeted support for breakthrough innovation, and optimizing interregional coordination in factor allocation. The study provides empirical evidence and practical insights for fostering new productivity in a context-sensitive and innovation-driven manner.
Xiang Caifen (Thu,) studied this question.