Research Article
Research on the Competitiveness of China's High-Tech Industry Based on Entropy-TOPSIS Method
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330252, author={Dan Zhao and Hanxin Zhang and Qinya Dai and Yu Bai and Lihuang Chen}, title={Research on the Competitiveness of China's High-Tech Industry Based on Entropy-TOPSIS Method}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={high-tech industry competitiveness evaluation entropy-topsis method}, doi={10.4108/eai.6-1-2023.2330252} }- Dan Zhao
Hanxin Zhang
Qinya Dai
Yu Bai
Lihuang Chen
Year: 2023
Research on the Competitiveness of China's High-Tech Industry Based on Entropy-TOPSIS Method
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330252
Abstract
The technology content, product-added value, and labor productivity of high-tech industry are significantly higher than those of traditional industry, so the strong competitiveness of high-tech industry is important for optimizing the industrial structure and improving the quality of economic development. In this paper, we design the high-tech industry competitiveness evaluation system from four dimensions: business environment, R&D investment, innovation achievements, and policy support, and we use the Entropy-TOPSIS method to calculate the high-tech industry competitiveness of Chinese provinces. The conclusion is as follows: (1) The competitiveness of high-tech industry is on an upward trend, and shows a pattern of “the strongest competitiveness in the east, the second in the west, and the weaker in the middle”. (2) The results of high-tech industry competitiveness can be divided into three levels according to the hierarchical clustering method. (3) By comparing the gap of each province in the four dimensions, we find that there are obvious differences in the competitiveness of high-tech industry and unbalanced development in different provinces.
