Theory of Endogenous Growth shows that technology development is the dominant power for the growing and promotion of economy, private and public decision-maker are willing to gain the information about how to develop the technological innovation performance, and the research on the influence factors of technological innovation performance based on the industry division is also an important process, we transcendence the previous research and explore the difference and influence factors of technological innovation deeply, which is significant to leading the orientation of industry technology, promoting the competitive power and making the policy.We concept industry technology innovation performance on the middle level and use the static and dynamic methodologies to compare the difference of industry innovation technology. Also, we firstly do the research of influence of technological innovation expanding speed, human capital, market structure and enterprise structure to the industry innovation difference. Based on the Stochastic Frontier Production Function Model, we make up the previous model and intake some new factors and introduce the industry technology innovation model, in order to reveal the influential effect. We use the data of Shanghai manufacture industry; evaluate technology innovation difference between industries and come to the conclusion of the evolution of Chinese industry innovation and market basic.On basis of foregoing analysis, this paper comes to conclusions as follows:(1) On the aspect of technological innovation input, the physical input still make a large contribution to the performance of technological innovation, and the human capital input is increasing which vary from industry to industry.(2) It appears the descending trend of industry technological innovation in 38 industries from 2001 to 2005. Based on the analysis of increasing rate difference of industry technological innovation, we can discern that the industries with middle level technological innovation performance have the higher increasing speed, while the others remain the same level during the past five years. It also provides the evidence for the shrinking gap between the 38 industries from 2001 to 2005.(3) The speed of technology innovation expand, human capital, market structure exert influence on technology innovation performance from different points. Based on the empirical research of Non-Efficiency Function model, we come to the conclusion that industry technology innovation is positively related to the speed of technology expand and human capital, besides, the ownership structure and foreign investment have vague potential influence. |