Research Article
Analysis on Regional Differences and Influencing Factors of China's High Tech Industry Development - Based on Cross-Sectional Data of 30 Provinces
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328729, author={Yang Liu and Jiahang Zhang and Rui Zhang and Zhi Li}, title={Analysis on Regional Differences and Influencing Factors of China's High Tech Industry Development - Based on Cross-Sectional Data of 30 Provinces}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={ward clustering; principal component analysis; regression equation; technical marketization level}, doi={10.4108/eai.2-12-2022.2328729} }
- Yang Liu
Jiahang Zhang
Rui Zhang
Zhi Li
Year: 2023
Analysis on Regional Differences and Influencing Factors of China's High Tech Industry Development - Based on Cross-Sectional Data of 30 Provinces
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328729
Abstract
Based on the panel data of 30 provinces in China, this paper first uses ward cluster analy-sis to divide the development level of high-tech industries of 30 provinces into 7 categories according to the selected 9 indicators. The results show that the development level of high-tech industries in Guangdong and Jiangsu is relatively high, while that of Hainan, Qinghai and Ningxia is relatively low. There are significant differences in the development of high-tech industries in eastern, central and Western China. Then, the nine indicators and the main business income of high-tech industry are linearly regressed. Combined with the results of correlation analysis, the dimension of the selected indicators is reduced by principal com-ponent analysis, and the original regression equation is modified. The results show that the level of technology marketization is the primary factor affecting the development of high-tech industry. Finally, the paper points out the significance of high-tech cluster in China.