| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 02049 | |
| Number of page(s) | 7 | |
| Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202021402049 | |
| Published online | 07 December 2020 | |
Research on the Evaluation of Innovation Performance of Regional High-tech industry Based on Grey Relation Analysis
School of Business Shan Dong University of Political science and Law Jinan, China
Scientific evaluation of the innovation performance of regional high-tech industry has an important impact on promoting the healthy development of high-tech industry and promoting regional economic growth. On the basis of constructing the index system of regional high-tech industry innovation performance evaluation, the index weight is determined based on the entropy weight method, and the gray correlation analysis method is used to evaluate and rank the regional high-tech industry innovation performance. The results show that there is a large gap in the innovation performance level of regional high- tech industries in China, and the innovation performance level of coastal areas is higher, such as Guangdong, Jiangsu, Zhejiang and other provinces; the innovation performance level of western areas is lower, such as inner Ningxia, Xinjiang, Qinghai and other provinces. The evaluation result of this method is scientific and objective, and it has a good effect in high-tech industry innovation performance evaluation. The conclusion of this paper can provide corresponding enlightenment for the innovation activities of regional high-tech industries in China.
© The Authors, published by EDP Sciences, 2020
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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