IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-690-1_15.html

Analyzing the Price Elasticity of Demand in China’s Tourism Sector: Key Economic Drivers and Implications

In: Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)

Author

Listed:
  • Yayan Liu

    (Wuhan Institute of Technology, School of Computer Science & Engineering Artificial Intelligence)

  • Chenzhang Wang

    (Wuhan Institute of Technology, School of Computer Science & Engineering Artificial Intelligence)

  • Yanan Li

    (University of Edinburgh, School of Mathematics)

Abstract

In recent years, China’s tourism industry has become a key driver of economic growth and international appeal. Understanding the price elasticity of demand (PED) in this sector is essential for stakeholders, including policymakers and business owners, as it reveals how sensitive tourists are to price changes. Implementing a tourist tax, for instance, could impact visitor numbers, potentially affecting local businesses and the broader economy[1]. This essay will analyze PED for China’s tourism using SPSS, offering insights into pricing strategies and policies that could optimize demand and support sustainable growth in the industry[2].

Suggested Citation

  • Yayan Liu & Chenzhang Wang & Yanan Li, 2025. "Analyzing the Price Elasticity of Demand in China’s Tourism Sector: Key Economic Drivers and Implications," Advances in Economics, Business and Management Research, in: Lina Zhong & Tang Yao & Chee Yoong Liew & Hongbo Li (ed.), Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024), pages 146-154, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-690-1_15
    DOI: 10.2991/978-94-6463-690-1_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-690-1_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.