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Research on Tourism Carrying Capacity and the Coupling Coordination Relationships between Its Influencing Factors: A Case Study of China

Author

Listed:
  • Xianlei Dong

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Shan Gao

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Airong Xu

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Zhikun Luo

    (College of Foundation Science, Harbin University of Commerce, Harbin 150028, China)

  • Beibei Hu

    (School of Business, Shandong Normal University, Jinan 250358, China)

Abstract

The large increase in the number of tourists brings challenges to the tourist carrying capacity of tourist destinations. By constructing a tourism carrying capacity indicator system and a coupling coordination model, we calculate and compare the development of tourism carrying capacity and the coupling coordination between all first-class indicators of tourism carrying capacity for provinces and cities in China. We find that the tourism carrying capacity and the coupling coordination between all first-class indicators of tourism carrying capacity for provinces and cities in China both showed an upward trend from 2008 to 2017, but the development was not balanced. In coastal provinces, their development level was high although lately showing a downward trend. In the provinces of the northwest China, their development level is low, and their development speed is relatively slow. The provinces and cities in the middle reaches of the Yangtze River and the southwest China recorded the fastest growth rate. In addition, we found that the development of tourism carrying capacity is closely related to coupling coordination between all first-class indicators of tourism carrying capacity.

Suggested Citation

  • Xianlei Dong & Shan Gao & Airong Xu & Zhikun Luo & Beibei Hu, 2022. "Research on Tourism Carrying Capacity and the Coupling Coordination Relationships between Its Influencing Factors: A Case Study of China," Sustainability, MDPI, vol. 14(22), pages 1-28, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15124-:d:973363
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    References listed on IDEAS

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    1. Xiaoyan Bu & Xiaomin Wang & Jiarui Wang & Ge Shi, 2023. "A Study on Resource Carrying Capacity and Early Warning of Urban Agglomerations of the Yellow River Basin Based on Sustainable Development Goals, China," Sustainability, MDPI, vol. 15(19), pages 1-20, October.

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