An Intelligent Analysis Model Based on Big Data Technology Factors for the Dynamic Lagging Effect of Economic Growth

According to the panel model and analysis of the dynamic relationship between R&D input and economic growth based on panel data from 2005 to 2022, co-integration test and Granger causality test are employed to analyze the function channel of three types of R&D input, including basic research, applied research, and text experiment research, in promoting economic growth and performance, and analyzing the dynamic lag effect of the promotion function of R&D input through the impulse response function and the variance decomposition. Results suggest that experimental development has a significantly positive effect on the growth of per capita GDP; the display of functions of basic research and applied research is faced with time lag to some extent, and the lag of basic research lasts longer; from the perspective of influence degree, the influence of basic research on economic growth is greater than that of economic growth. Therefore, considering from the perspective of long-term development of scientific and technological strategies, which should maintain its input into the total R&D expenses on the one hand; on the other hand, pay attention to coordinated development of expense input of different research nature.