Grey correlation analysis of innovation investment and industrial economic growth in Shen-Guan-Hui economic circle
- DOI
- 10.2991/ebmcsr-18.2018.69How to use a DOI?
- Keywords
- Innovation input, Industrial economic growth, Grey correlation analysis.
- Abstract
By studying the relationship between innovation investment and industrial economy, this paper discusses the promotion of scientific research expenditure and scientific research personnel investment on industrial economic growth. This paper analyzes the relationship between innovation input and industrial economic growth in Shenzhen, Dongguan, Huizhou, Heyuan and Shanwei by using grey relational analysis based on the relevant statistical data of Shen-Guan-Hui "3+2" economic circle from 2007 to 2016. The research shows that R&D expenditure and scientific and technological personnel investment have positive correlation to the industrial economic growth of each city. However, there are significant differences in the level of industrial economic development. The notable factors of Shenzhen and Dongguan in developed areas are R&D employees in scale enterprises. And the prominent factors for the rapid growth of industrial economy in Shanwei City and Huizhou City are the government appropriation for scientific research institutions and the expenditure on scientific research institutions. And the notable factor of Heyuan in less developed areas is the expenditure of scientific research institutions.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wenbo Deng PY - 2018/11 DA - 2018/11 TI - Grey correlation analysis of innovation investment and industrial economic growth in Shen-Guan-Hui economic circle BT - Proceedings of the 2018 International Conference on Economics, Business, Management and Corporate Social Responsibility (EBMCSR 2018) PB - Atlantis Press SP - 357 EP - 361 SN - 2352-5428 UR - https://doi.org/10.2991/ebmcsr-18.2018.69 DO - 10.2991/ebmcsr-18.2018.69 ID - Deng2018/11 ER -