Computer-Aided Modeling and Empirical Analysis in Big Data Environment

Abstract

Based on full reference to the existing theoretical research and empirical analysis methods at home and abroad, this paper uses the random coefficient model and computer-aided modeling based on the relevant panel data of different provinces in China. Under the Granger causality test, the financial There is a two-way causal relationship between development and economic growth in the short, medium, long and full cycles; under the cross-spectrum analysis, financial development lags behind economic growth in the short and long cycles, and slightly leads economic growth in the medium and full cycles Interpretation of the relationship between inflation, finance and economic growth through the use of three-dimensional analysis methods, empirically test the impact and role of the financial development on economic growth from multiple aspects and layers, and explore the two iteraction rules, influence paths, and function provision among other aspects.