Innovation Performance Research On China's New Generation Information Technology Industry in the Digital Economy Context
- DOI
- 10.2991/ictim-17.2017.50How to use a DOI?
- Keywords
- R&D investment, CDM model, innovation output, innovation performance
- Abstract
Under the background of digital economy, China's new generation of information technology industry is developing rapidly. The main purpose of our study is to explore the influencing factors of innovation performance of this industry. From a microcosmic point of view, this paper takes domestic listed companies belonging to the industry as samples. By drawing on the analytical framework of CDM model, this paper is to carry out an empirical research to analyze the relationship between innovation input, innovation output and innovation performance. The results show that there is a significantly positive correlation between R&D investment and the gross profit margin of enterprise product sales (an estimator for innovation output). The positive effect of innovation output (measured by gross profit margin of enterprise product sales) on innovation performance (measured by labor productivity) is significant. In addition, it also reveals that the enterprise's innovation performance is also influenced by per capita investment in fixed assets, turnover rate of fixed asset, employee quality, government support, spillover effect, etc. But industrial effect and industry-university-research cooperation have no significant impact on enterprise's innovation performance.
- Copyright
- © 2017, 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 - Yangyang Huang AU - Guangkuo Gao PY - 2017/09 DA - 2017/09 TI - Innovation Performance Research On China's New Generation Information Technology Industry in the Digital Economy Context BT - Proceedings of the International Conference on Transformations and Innovations in Management (ICTIM 2017) PB - Atlantis Press SP - 648 EP - 659 SN - 2352-5428 UR - https://doi.org/10.2991/ictim-17.2017.50 DO - 10.2991/ictim-17.2017.50 ID - Huang2017/09 ER -