EXPLORING THE PERFORMANCE PRODUCTION OF SCI-TECH FINANCE POLICY: TYPICAL PATHS AND INNOVATIVE INSIGHTS FROM CHINA PROVINCES

This paper focuses on "how differentiated policy configurations lead to industrial development". It proposes the performance production as a novel perspective for policy management, utilizing China's provincial policies for sci-tech finance development as a case for operational observation. Qualitative data was converted into a quantifiable format using structured calibration procedures, and then three typical paths of system management were simulated via the fsQCA method. The 'limited adaptation' path involves selecting policy objectives and targeted investment of public resources through industrial basis analysis, corresponding to provinces with bright spots in the underdeveloped tier. The 'motivated action' path entails setting policy objectives to drive task arrangement and resource allocation, aligning with provinces demonstrating evident progress in the backward tier. The 'systematic improvement' path signifies that policies are derived through specific, successive steps, corresponding to leading provinces with developed industries. This study constructs a bridge between industrial policy analysis and performance evaluation, emphasizing the mutual guidance of multi-dimensional policy contents and their combined output mechanism. It offers practical and innovative implications for designing and implementing industrial policies across different regions.