IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-9369-5_2.html
   My bibliography  Save this book chapter

Tourism Analytics, the Case for Hainan China

In: Tourism Analytics Before and After COVID-19

Author

Listed:
  • He Pan

    (Nanyang Technological University)

  • Lu Hengyu

    (Nanyang Technological University)

  • Wei Yuzhi

    (Nanyang Technological University)

  • Wang Qi

    (Nanyang Technological University)

  • Wu Meng

    (Nanyang Technological University)

  • Zhang Qiqi

    (Nanyang Technological University)

Abstract

This work studies the impact of COVID-19 on the tourism industry in Hainan province, China. We analyzed the data trend changes of overnight domestic tourists, foreign tourists, and tourism revenue using time series models and derive several insights from it. The COVID-19 epidemic caused a significant negative impact on the tourism revenue of Hainan province. In February 2020, the tourism revenue decreased by 88% as compared to the same month in 2019. We examined the tourist data with time series models and discovered that although the number of tourists decreased significantly, the tourism revenue continued to increase and achieved year on year (YoY) growth rate of 20% in December 2020. This could be due to three reasons: first since it is more inconvenient for tourists to travel and will cost them more from spending like arrival test or quarantine cost. Travelers who are willing to travel during this period will spend more during their travel, that is, the per capita consumption is higher than before; second, some travelers were quarantined in Hainan as entry point to China from another country, which brings up the revenues of hotels and restaurants; third, people from Hainan province are more willing to travel within the province, that contributes to further increase the overall tourism revenue. Finally, we made suggestions following these observations to increase tourism revenue in the time of the epidemic.

Suggested Citation

  • He Pan & Lu Hengyu & Wei Yuzhi & Wang Qi & Wu Meng & Zhang Qiqi, 2023. "Tourism Analytics, the Case for Hainan China," Springer Books, in: Yok Yen Nguwi (ed.), Tourism Analytics Before and After COVID-19, pages 19-36, Springer.
  • Handle: RePEc:spr:sprchp:978-981-19-9369-5_2
    DOI: 10.1007/978-981-19-9369-5_2
    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 search for a similarly titled item that would be available.

    More about this item

    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:sprchp:978-981-19-9369-5_2. 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.