Based on an analysis using the PVAR (Panel Vector Autoregression) model of more than 13 million papers from 171 SCI disciplines in the past decade (2011-2020), we examined the dynamic interaction effects between funding rate and research output, as well as heterogeneity across different subject areas. The results indicate that an increasing funding rate can lead to an increase in research output. Specifically, in engineering, the funding rate has the most significant promotion effect on research output. On the other hand, the reverse promotion effect of research output on the funding rate is not significant. By providing more rigorous and substantive evidence on the highly regarded research topic of the relationship between funding rate and research output through large-scale data analysis, we offer useful insights for management departments to better understand the research benefits that funding provides in the research process.