Analysis on Technology Input Structure Based on Grey Theory: Evidence from China

摘要

Based on the statistical data released by National Bureau of Statistics of China, over the period 2000-2008, this paper empirically analyzed Chinese technology input structure through investigating the relationship between economic growth and technology input including scientists and technicians and expenditure for R&D using the compensative GM (1,N) model in the grey theory. This paper applies the Principle of Least Square Method to estimate the parameters of the system equation. Research results show that the compensative GM (1,N) model established in this paper has a high precision, and that the contribution of expenditure for R&D is greater than that from scientists and technicians, which could provide valuable information to policy makers in their efforts to make effective technological policies for promoting economic growth.