IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6631833.html
   My bibliography  Save this article

Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development

Author

Listed:
  • Xuemei Zhao
  • Guofeng Yu

Abstract

Taking 16 cities in Anhui province as research units, based on the research perspective of spatial econometrics, using spatial autocorrelation analysis, this paper investigates the spatial correlation of regional tourism industry in Anhui province, indicating that regional per capita tourism income in Anhui province has obvious positive spatial autocorrelation and relatively obvious local spatial cluster characteristics. To further explore the influence factors of the development level of the regional tourism industry in Anhui and construct the spatial econometric model, the model results show that the Anhui tourism industry development has been accompanied by spatial agglomeration process, per capita GDP, the number of star-rated hotels, fixed assets investment, and employment in the tertiary industry which play a significant role for tourism development. Finally, some countermeasures and suggestions are put forward to promote the development of regional tourism in Anhui province.

Suggested Citation

  • Xuemei Zhao & Guofeng Yu, 2021. "Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-7, May.
    • Handle: RePEc:hin:jnlmpe:6631833
    DOI: 10.1155/2021/6631833
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/6631833.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2021/6631833.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/6631833?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:hin:jnlmpe:6631833. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.