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Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

Research Article

Analysis on Regional Differences and Influencing Factors of China's High Tech Industry Development - Based on Cross-Sectional Data of 30 Provinces

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  • @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
Yang Liu1, Jiahang Zhang1, Rui Zhang1,*, Zhi Li1
  • 1: Yunnan University of Finance and economics
*Contact email: abm201205@163.com

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.

Keywords
ward clustering; principal component analysis; regression equation; technical marketization level
Published
2023-06-14
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-12-2022.2328729
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