新型举国体制下任务导向型创新的治理适配性OA

[Research purpose]Addressing the tensions in governance effectiveness faced by the new system for mobilizing the resources nationwide in advancing mission-oriented innovation,this study explores how the portfolio of governance tools can achieve precise and dynamic alignment with the inherent attributes of innovation tasks.It aims to provide a sound analytical framework for of China's innovation governance system and the development of new quality productive forces.[Research method]Drawing upon a neo-institutionalist perspective,this study deconstructs supply-side governance behaviors into three core tools:Authority,Organization,and Incentive(AOI).Concurrently,demand-side environmental constraints are dimensionalized into Technological Path Uncertainty and Security Sensitivity(TS),thereby constructing the"AOI-TS"analytical framework.Using new energy vehicles and quantum technology as two typical cases,this study conducts longitudinal and cross-dimensional comparative analyses to dissect the triggering mechanisms of divergent governance paradigms amid evolving task attributes.[Research conclusion]The governance effectiveness of mission-oriented innovation relies on the dynamic alignment between governance tools and task attributes.Accordingly,four distinct governance models are logically deduced:strategic incubation,mission-critical breakthrough,industrial catch-up,and frontier exploration.Case validation reveals that the governance evolution of NEVs is characterized by a downward shift in governance focus driven by the"convergence of Technological Path Uncertainty."In contrast,quantum technology,under the dual constraints of external environment,requires a governance model of"strategic shielding and process empowerment."Confronting the objective imperatives of developing new quality productive forces,innovation governance urgently requires a fundamental paradigm shift from structural orientation to precise adaptation,thereby forging long-term national technological competitive advantages through the dynamic iteration of governance arrangements.