Evaluation on Regional Scientific and Technological Innovation Capacity Based on Principal Component Analysis
Authors
Xing Li, Kongcheng Chen
Corresponding Author
Xing Li
Available Online July 2015.
- DOI
- 10.2991/lemcs-15.2015.315How to use a DOI?
- Keywords
- Technological Innovation; Scientific and technological innovation; Innovative Capability Evaluation
- Abstract
Through establishing the indicator system that reflects the regional scientific and technological innovation capacity, this paper applies the Principal Component Analysis and Cluster Analysis Method to make empirical analysis and comparative analysis on regional scientific and technological innovation capacity of 30 provinces, cities and districts within China Mainland, and concludes the comprehensive ranking of all regions’ scientific and technological innovation capacity. Finally, by taking Gansu as an example, it points out the deficiencies in the aspect of scientific and technological innovation, and also puts forward corresponding countermeasures and suggestions
- Copyright
- © 2015, 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 - Xing Li AU - Kongcheng Chen PY - 2015/07 DA - 2015/07 TI - Evaluation on Regional Scientific and Technological Innovation Capacity Based on Principal Component Analysis BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 1582 EP - 1587 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.315 DO - 10.2991/lemcs-15.2015.315 ID - Li2015/07 ER -