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Empirical Analysis of Tourism Revenues in Sanya

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Data Science (ICPCSEE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1258))

Abstract

Tourism industry has become a pillar industry, which is used to measure the general economic development of Sanya. According to the latest data related with Sanya tourism (2008–2019), a linear regression model is established in this paper. With statistical method, it takes the annual tourism revenue of Sanya as the explanatory variable and the number of domestic tourists received by Sanya as the explanatory variable. Based on the model, the results of econometric analysis on the factors influencing Sanya tourism revenue show that the number of domestic tourists is the main influence factors of tourism revenue in Sanya.

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Acknowledgments

This research was financially supported by Higher Education Scientific Research Program in Hainan Province of China (Hnky2019-100) and Hainan Provincial Natural Science Foundation of China (618QN258).

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Authors and Affiliations

  1. Sanya Aviation and Tourism College, Sanya, 572000, Hainan, China

    Yuanhui Li & Haiyun Han

Authors
  1. Yuanhui Li
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  2. Haiyun Han
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Corresponding author

Correspondence to Yuanhui Li .

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Editors and Affiliations

  1. North University of China, Taiyuan, China

    Pinle Qin

  2. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  3. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  4. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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Li, Y., Han, H. (2020). Empirical Analysis of Tourism Revenues in Sanya. In: Qin, P., Wang, H., Sun, G., Lu, Z. (eds) Data Science. ICPCSEE 2020. Communications in Computer and Information Science, vol 1258. Springer, Singapore. https://doi.org/10.1007/978-981-15-7984-4_34

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  • DOI: https://doi.org/10.1007/978-981-15-7984-4_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7983-7

  • Online ISBN: 978-981-15-7984-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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