关键词: 创新要素, 产业创新, 创新绩效, innovation factors, industry innovation, innovation performance

Abstract: It has been drawing a lot of attentions on approaches to improving innovation factors input structures and raising innovation performances. Based on the statistical data of China’s manufacturing industry and high technology industry from 2007 to 2012, this paper employed methods of panel data regression analysis and BP neural network to research on the impact of input of several innovation factors, including human capital, internal capital, external technologies and government supports, on industry innovation performances. Some conclusions were drawn from the research：In the technological development process, factors including internal capital, external technologies and the proportion of human capital that researchers account for, have positive impact on innovation performances while the number of researchers and government supports make negative impact. In the process of technological achievements transformation, human capital has positive impact on innovation performances while external technology has negative impact; also, internal capital and innovation performances have a ‘inverted U-shaped’ relationship while government supports and innovation performances have a ‘U-shaped’ relationship. This paper finally proposed policy-related specific proposals based on the resultant conclusions of the impact of different factors on innovation performances in different process.