This paper explores the impact of financial support on the development of high-tech industries in Liangshan Prefecture. By constructing a vector autoregression （VAR） model， the time-series data of high-tech industry output value， the number of enterprises， and deposit and loan balances from 2010 to 2024 are empirically analyzed. The results show that there exists a long-term cointegration relationship among these variables： the deposit balance exerts a significant driving effect on industrial growth， while the loan balance has limited predictive power for industrial development. The Granger causality test verifies a unidirectional causal relationship from financial deposits to industrial output value， which reveals the structural imbalance in the allocation of credit resources in the prefecture. The main restrictive factors are identified as the financing gap of early-stage enterprises， high financing costs， and the underdevelopment of the capital market. Accordingly， this paper puts forward targeted policy recommendations， including dredging the transmission blockages between credit resources and industrial demand， improving the efficiency of converting deposit resources into industrial investment， expanding diversified direct financing channels， and enhancing the specialization and precision of sci-tech financial services. These suggestions provide actionable solutions for promoting the development of high-tech industries in Liangshan prefecture.