Innovation Efficiency and Its Influencing Factors of China's High-Tech Industry Based on the Spatial Econometric Model
Gui Huang-ba
Abstract
Gui Huang-ba
Abstract
This study, employing the DEA-Malmquist index, measures the innovation efficiency of high-tech industry in China, on this basis, it constructs spatial econometric panel model and explored the influence factors of high- tech industrial innovation efficiency in China. The results show, firstly, the general rising tendency of China's high- tech industry innovation efficiency, but backward state of technical efficiency and scale efficiency. Secondly, the geographic proximity on high technology industry innovation efficiency has significant negative impact. Thirdly, from the point of view factors, enterprise scale and labor factors have significant positive influence, level of opening up has a little significant positive influence, capital investment has inconspicuous negative impact, and industrialization process,government support and level of science and technology had no significant effect.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This study, employing the DEA-Malmquist index, measures the innovation efficiency of high-tech industry in China, on this basis, it constructs spatial econometric panel model and explored the influence factors of high- tech industrial innovation efficiency in China. The results show, firstly, the general rising tendency of China's high- tech industry innovation efficiency, but backward state of technical efficiency and scale efficiency. Secondly, the geographic proximity on high technology industry innovation efficiency has significant negative impact. Thirdly, from the point of view factors, enterprise scale and labor factors have significant positive influence, level of opening up has a little significant positive influence, capital investment has inconspicuous negative impact, and industrialization process,government support and level of science and technology had no significant effect.
Key concepts: High tech, Industrialisation, China, Panel data, Econometric model, Government (linguistics), Scale (ratio), Malmquist index