何种数字创新生态驱动新质生产力发展OA

As an advanced productivity form led by innovation,new quality productive forces serve as the core engine for promoting high-quality development.In the digital economy era,the digital innovation ecosystem provides critical support for the cultivation and release of these forces by integrating innovation subjects,resources,and environments.Based on digital in-novation ecosystem theory,this study employs the dynamic QCA method and uses panel data from 31 provinces in China from 2017 to 2022 as a sample to systematically explore the multi-configuration paths and spatiotemporal evolution characteristics of digital innovation ecosystem elements driving the development of new quality productive forces.The research aims to identify configurations that effectively drive this development and examine whether these paths exhibit significant temporal and regional effects.The findings indicate that:①From a temporal dimen-sion,no single digital innovation ecosystem element constitutes a necessary condition for the de-velopment of new quality productive forces,though the necessity of data elements and digital governance shows an upward trend annually,reflecting a significant temporal effect.From a spa-tial dimension,the eastern region exhibits a high dependence on innovation subjects,resources,and environments;the central region focuses on subjects and resources;and the western region shows lower dependence,indicating distinct regional effects.②Five configuration paths gener-ate high-level new quality productive forces,categorized into three modes:"Element-Governance"empowerment-driven,Subject-led endogenous-driven,and System synergy symbiotic-driven.Conversely,seven configuration paths lead to low-level development,summa-rized as Environmental ecological absence,Lack of endogenous power,and Structural imbalance limitation.③While the configuration paths did not show significant temporal or regional effects during the sample period,the overall driving mechanism is shifting toward a system synergy symbiotic-driven mode,indicating that the linkage effect of multiple elements is becoming in-creasingly vital.Theoretically,this study advances the dynamic and empirical expansion of digi-tal innovation ecosystem theory,addresses the call for causality and temporality in configuration research,and deepens the understanding of context-dependency.Practically,it provides a refer-ence for regions to develop new quality productive forces according to local conditions:first,by strengthening the core role of data and digital governance;second,by fostering synergy across multiple elements;and third,by respecting regional differences to develop productivity accord-ing to local contexts.