Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China

Research Article

The Research on Agglomeration Degree of Tourism Industry Cluster in Liaoning Province——Based on Improved Location Quotient Method

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  • @INPROCEEDINGS{10.4108/eai.18-11-2022.2326764,
        author={Weiling  Su and Jiejie  Ji},
        title={The Research on Agglomeration Degree of Tourism Industry Cluster in Liaoning Province------Based on Improved Location Quotient Method},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2023},
        month={2},
        keywords={tourism industry cluster; agglomeration degree; location quotient method},
        doi={10.4108/eai.18-11-2022.2326764}
    }
    
  • Weiling Su
    Jiejie Ji
    Year: 2023
    The Research on Agglomeration Degree of Tourism Industry Cluster in Liaoning Province——Based on Improved Location Quotient Method
    ICEMME
    EAI
    DOI: 10.4108/eai.18-11-2022.2326764
Weiling Su1, Jiejie Ji1,*
  • 1: Dalian University
*Contact email: jijiejie1996@163.com

Abstract

Tourism industry cluster is the product of the development of tourism industry to a certain extent. It refers to a form of industrial organization formed by the geographical agglomeration of tourism core attractions, tourism enterprises and related enterprises and departments in a certain geographical space and the establishment of close ties. The emergence of tourism industry cluster is of great significance to improve the status of tourism industry and promote the development of local economy. Industrial agglomeration is the most important characteristic of industrial clusters. Based on the data of Liaoning Province from 2010 to 2019, this paper uses improved location quotient method to measure and analyze the agglomeration degree of tourism industry clusters, so as to provide reference for the development of tourism industrial clusters in Liaoning Province.