"双碳"目标下数字创新生态系统赋能碳排放效率提升研究OACHSSCD

Improving carbon emission efficiency is an inherent part of advancing the"dual carbon"goals,and the digital innovation ecosystem is a key focus for enhancing carbon emission efficiency.Based on the"subject-resource-environment"ana-lytical framework,this study selects panel data from 30 provincial regions in China from 2012 to 2024,and employs the super-effi-ciency SBM model,NCA,and dynamic QCA methods to explore the interactive effects and path selection of the digital innovation ecosystem in empowering the improvement of carbon emission efficiency from a configurational perspective.The research findings re-veal that no single condition variable constitutes a necessary condition for achieving high carbon emission efficiency,all showing a"bottleneck effect",but government participation is an important condition for empowering the improvement of carbon emission effi-ciency.There are four types of configurations for high carbon emission efficiency,namely,"government-led empowerment type","knowledge supply empowerment type","government-talent dual-wheel empowerment type",and"government-led multi-ele-ment collaborative empowerment type".Each configuration shows a"V"shaped fluctuation in some time periods,but the diffe-rences in the spatial dimension are not significant.The research can provide theoretical and practical references for the combination of various elements in the digital innovation ecosystem to empower the improvement of carbon emission efficiency.