Comparative Study on Scientific and Technological Innovation Ability of High-Tech Parks From The Perspective of High-Quality Development Based on SFA Regression Method
- DOI
- 10.2991/978-94-6463-056-5_5How to use a DOI?
- Keywords
- High-quality development; National high tech Zone; technological innovation Cluster analysis; SFA regression
- Abstract
China's economy has changed from a a high-speed growth stage to high-quality development stage. Innovation is the core driving force leading high-quality development, and national high-tech zones will be the main force and main position of innovation-driven development strategy. Using the methods of data envelopment analysis, cluster analysis and SFA regression, this paper compares and analyzes the technological innovation ability of national high-tech zones in Liaoning, Jiangsu, Guangdong and Shandong. The research shows that the comprehensive technological innovation ability of Liaoning Province is weaker than that of the other three provinces, and the scale efficiency of technological innovation ability of the four provinces needs to be improved, and there are obvious regional differences; Liaoning can enhance its technological innovation ability through the agglomeration of scientific and technological resources and production factors, the construction and improvement of collaborative innovation network, and the improvement of scientific and technological service system.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jian-bo Li AU - Yue YIN PY - 2022 DA - 2022/12/29 TI - Comparative Study on Scientific and Technological Innovation Ability of High-Tech Parks From The Perspective of High-Quality Development Based on SFA Regression Method BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 22 EP - 27 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_5 DO - 10.2991/978-94-6463-056-5_5 ID - Li2022 ER -