Abstract

In this article, China’s fundamental scientific journals rates and technical journals rates were used together.According to polynomial distributed lag model, there is no significant relationship between China’s grossdomestic product and China’s fundamental scientific, technical journal rates between the periods of 1985-2009.Moreover, according to Johansen cointegration test and Engle Granger analysis, there is a long term relationshipbetween variables. Granger causality analysis indicated that past values of China’s fundamental scientific, technical journal rates can forecast the China’s gross domestic product rates at optimal lag1. Variancedecomposition analysis and impulse response analysis showed that China’s fundamental, scientific journal ratesinnovation impact on China’s GDP rates is more than China’s gross domestic product rates innovation impacton China’s fundamental scientific journal rates at lag1.

This work is licensed under a Creative Commons Attribution 4.0 License.