A Comparative Study of the Effects of Different Industry Technology Innovation Performance Factors: Based on a GEM Semi-parametric Model

Abstract

This paper constructs a semi-parametric model to study the effects of six different factors of innovation performance in different industries based on the relevant data of Growth Enterprise Market (GEM) listed companies. The empirical results show that: (1) R&D expenditures on innovation performance in most industries have a significant positive impact; (2) R&D personnel investment and government subsidies have a significant positive impact on technology innovation performance of knowledge-oriented industries; (3) technology diversity has a significant positive impact on innovation performance of technology-oriented industries; (4) the proportion of exports and company size show an inverted U-shaped relationship with technological innovation performance in some industries; and (5) the effect of semi-parametric model fit is superior to the general parameters model.