Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23–25, 2024, Kuala Lumpur, Malaysia

Research Article

An Analysis of Talent Attraction in Shenzhen Based on Entropy Weight Method

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2345932,
        author={Wen  Luo},
        title={An Analysis of Talent Attraction in Shenzhen Based on Entropy Weight Method},
        proceedings={Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23--25, 2024, Kuala Lumpur, Malaysia},
        publisher={EAI},
        proceedings_a={IEDM},
        year={2024},
        month={5},
        keywords={evaluation model; talent attraction; entropy weight method; policy suggestion},
        doi={10.4108/eai.23-2-2024.2345932}
    }
    
  • Wen Luo
    Year: 2024
    An Analysis of Talent Attraction in Shenzhen Based on Entropy Weight Method
    IEDM
    EAI
    DOI: 10.4108/eai.23-2-2024.2345932
Wen Luo1,*
  • 1: Guangdong University of Technology
*Contact email: 3234193107@qq.com

Abstract

It is of great significance to explore the level of talent attraction and industrial development structure of cities under the current background for the improvement and amendment of city's policies. This paper first selects 7 first-level indicators as the core elements of the evaluation model to evaluate the talent attraction level of Shenzhen, and then subdivides the indicators into 20 second-level indicators to form the talent attraction evaluation index system. Then the entropy weight method is used to determine the weight of each index, and finally the comprehensive talent attraction score of the four first-tier cities is calculated and compared with Shenzhen and other cities. Then, the evaluation model of the attractiveness level of a city to various talents is established, and the specific policy differences among various industries in first-tier cities are deeply analyzed, and policy suggestions are put forward.