Research on Innovation Efficiency Measurement of China’s High Tech Industries
——Based on the three Stage DEA Malmquist Index Model
- DOI
- 10.2991/978-94-6463-542-3_62How to use a DOI?
- Keywords
- Innovation efficiency; High tech industries; Three stage DEA - Malmquist index
- Abstract
High tech industry as the key industries can help traditional industry transform and upgrade and optimize our industrial structure, its development degree and innovation level have become the important factor to realize the high-quality development of China. Furthermore, this paper selects the three stage DEA Malmquist index model to measure the innovation efficiency of 20 high tech subdivisions industries during the period of “11th Five Year Plan” to “13th Five Year Plan” and carry out static and dynamic research. The results show that: (1) the heterogeneity of innovation effectiveness of high tech subdivided industries increases, and the trend of innovation efficiency is that communication equipment manufacturing>computer manufacturing>pharmaceutical manufacturing, and the development focus shifts to emerging industries; (2) Talent is the core factor that determines the high quality development of high tech industries; (3) Continuing to master key core technologies is still the primary task of upgrading the innovation level of high tech industries at the presentation stage. Therefore, rational planning of industrial development pattern, improving innovative personal training mechanism and increasing scientific research investment benefits more and more significant to enhance the efficiency of target industries at presentation.
- Copyright
- © 2024 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 - Rongyan Jia AU - Yueqi Hao PY - 2024 DA - 2024/10/15 TI - Research on Innovation Efficiency Measurement of China’s High Tech Industries BT - Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024) PB - Atlantis Press SP - 535 EP - 549 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-542-3_62 DO - 10.2991/978-94-6463-542-3_62 ID - Jia2024 ER -