Abstract:Based on the data of science and technology service industry and manufacturing industry in Shanghai from 2003 to 2017, this paper constructs VAR model and Error Correction Model, analyzes the long-term and short-term dynamic mechanism of sample index data from five dimensions: variable stability test, cointegration test, Granger causality test, impulse response, variance decomposition, and empirically studies the relationship between science and technology service industry and manufacturing industry in Shanghai Industrial development interaction. The results show that: there is a long-term stable equilibrium relationship between the science and technology service industry and manufacturing industry in Shanghai; the development of science and technology service industry is the Granger cause that affects the development of manufacturing industry; otherwise, there is a long-term positive interaction effect between the two variables; the development of science and technology service industry in Shanghai has a significant long-term fluctuation effect on the development of manufacturing industry, but the second is that The development effect of interaction and integration between them needs to be further optimized and improved.