Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Analysis on the Competitiveness of Industrial Manufacturing Level in Various Regions of China

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322717,
        author={Xianke  Li and Chongyan  Li},
        title={Analysis on the Competitiveness of Industrial Manufacturing Level in Various Regions of China},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={industrial competitiveness; scientific and technological innovation ability; economic creativity; entropy weight method; k-mean cluster analysis},
        doi={10.4108/eai.17-6-2022.2322717}
    }
    
  • Xianke Li
    Chongyan Li
    Year: 2022
    Analysis on the Competitiveness of Industrial Manufacturing Level in Various Regions of China
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322717
Xianke Li1, Chongyan Li2,*
  • 1: Macao Polytech University
  • 2: Guangzhou College of Applied Science and Technology
*Contact email: lichongyan123@163.com

Abstract

Industrial competitiveness is an important performance of regional industrial manufacturing level. This paper constructs a three-level index system from four aspects: economic creativity, scientific and technological innovation, energy utilization and environmental protection, and evaluates the industrial competitiveness of various regions in China. Firstly, the paper makes a statistical description and analysis of the three-level indicators, then calculates their respective weights by using the entropy weight method, and finally calculates the comprehensive score of the industrial competitiveness of various regions in China. The results show that scientific and technological innovation ability is the main factor affecting the industrial competitiveness of a region, with a weight contribution of 48.04%; The impact of economic creativity is second, and the weight contribution is 26.68%. Secondly, through k-mean cluster analysis, the industrial competitiveness of 31 regions in China is divided into three levels: leading, catching up and lagging. By improving the transaction cost of innovation activities of enterprises in the region, reducing the uncertainty risk of R & D activities in the future, the introduction of innovative talents will help to enhance the competitiveness of industries in the region.