An empirical research on Indigenous technological innovation process in Shenzhen City of China based on time series model

作者：Chu Zhaopeng^*; Li Bing; Xiao Hai; Lu Lan

来源：Journal of Applied Sciences, 2013, 13(8): 1245-1250.

DOI：10.3923/jas.2013.1245.1250

• Co-integration tests
• Cooperation mechanism
• Error correction models
• Granger causality test
• Intellectual property rights
• Technological innovation
• Technological innovation process
• Time series modeling

With the background of innovation-driven economic growth, how to establish the effective indigenous technological innovation process is the most important issue to improve national technological innovative ability. In order to explore the paths and mechanisms of technological innovation, this study conducts such an empirical study on the process of indigenous technological innovation in Shenzhen City of China based on co-integration test, error correction model and Granger causality test. The empirical results show that there exists the long-term stability of the dynamic equilibrium among expenditures on R&D, number of patents applications granted and value of intellectual property rights of high-tech products. The anti-driving mechanism reverses feedback from the terminal of technological innovation activities to the upstream of R&D investments and patents output. It is very important for improving the efficiency of indigenous technological innovation process to strengthen R&D process management, perfect the innovation cooperation mechanism and speed up the transformation of independent intellectual property rights achievements.

• 出版日期2013
• 单位东北大学