| Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
|---|---|---|
| Article Number | 01078 | |
| Number of page(s) | 4 | |
| Section | Analysis of Energy Industry Economy and Consumption Structure Model | |
| DOI | https://doi.org/10.1051/e3sconf/202125101078 | |
| Published online | 15 April 2021 | |
Evaluation of Hebei Province’s Innovation Ability under the Integration of Beijing-Tianjin-Hebei
School of Economics and Management, Beijing Jiaotong University, Haidian, Beijing, China
* Corresponding author: hemenghuan_19@163.com
Regional innovation capability is one of the important indicators to measure the comprehensive development level of a region. This paper uses the analytic hierarchy process to evaluate the regional innovation capability of Beijing-Tianjin-Hebei. A total of 10 indicators were selected from the three aspects of regional innovation foundation, regional innovation input and regional innovation output to construct a regional innovation capability evaluation index system. Using 2019 data to comprehensively evaluate the innovation capability of the Beijing-Tianjin-Hebei region. Finally, the regional innovation ability scores and basic rankings of Beijing, Tianjin, and Hebei provinces were obtained. The study concluded that Hebei Province still has many gaps in innovation input and innovation output compared with Beijing and Tianjin. Therefore, Hebei Province needs to strengthen its innovation input and innovation output. The integration of Beijing-Tianjin-Hebei has created good development opportunities for Hebei Province. Therefore, an objective evaluation of the scientific and technological innovation capabilities of Hebei Province under the integration of Beijing-Tianjin-Hebei is of certain significance for the government to formulate science and technology strategies and improve technological innovation capabilities.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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