Skip to main content

The Evolution of Hot Spots of Chinese Tourists’ Outbound Tourism

  • Conference paper
  • First Online:
Cyber Security Intelligence and Analytics (CSIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1147))

  • 1339 Accesses

Abstract

People’s economic level is constantly improving, and many people have joined the wave of tourism. Under the background of the country actively increasing communication with foreign countries, more and more people have joined the ranks of outbound tourism. In order to explore the trend of Chinese tourists’ outbound tourism and the changes of tourism hot spots, this paper uses big data analysis, data envelopment analysis and global spatial autocorrelation to mine information. The results show that the number of outbound tourists has increased in different degrees in the past 20 years, and will fluctuate under the influence of relevant economic policies. In terms of the selection of tourist hot spots, in the early days when Chinese tourists chose to travel abroad, the first choice was the United States, Japan, etc. Later, most people chose to go to Southeast Asia around China. In recent years, the hot spots have become Bali, Africa and other countries or regions. The evolution of tourism hot spots reflects the enhancement of people’s economic strength and the increasing demand for tourism.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhang, L.: Diversified development trend of leisure tourism in the era of experience economy. Sci. Technol. Outlook 26(23), 256 (2016)

    Google Scholar 

  2. Lu, F., Lou, S., Ming, Q., Zhu, T.: Connotation analysis and conceptual model of tourism industry ecology. Tour. Res. 9(5), 22–30 (2017)

    Google Scholar 

  3. Zou, T., Chen, X., Liu, L., Xie, C., Huang, R., Wu, L., Wang, X.: China’s “belt and road” tourism: investment, security and regulation of tourism trade. Tour. Guide 2(5), 73–98 (2018)

    Google Scholar 

  4. Song, C., Jia, R., Li, X.: Transit visa exemption policy and growth of inbound tourism: analysis based on the PSM-DID method. Tour. Guide 2(6), 33–46 (2018)

    Google Scholar 

  5. Yang, Y., Liu, H., Li, X.: The influence of cultural distance on the choice of tourist destinations: a case study of outbound tourism in Japan and mainland China. Tour. J. 31(10), 55 (2016)

    Google Scholar 

  6. Brayne, S.: Big data surveillance: the case of policing. Am. Sociol. Rev. 82(5), 977–1008 (2017)

    Article  Google Scholar 

  7. Lee, C.H., Yoon, H.J.: Medical big data: promise and challenges. Kidney Res. Clin. Pract. 36(1), 3 (2017)

    Article  Google Scholar 

  8. Wang, C., Ding, H., Wang, B.: Input-output efficiency analysis of rural water conservancy projects in China based on data envelopment analysis (DEA). Rural Econ. Sci. Technol. 28(9), 71–73 (2017)

    Google Scholar 

  9. Zhang, H., You, J.: Urban rail transit efficiency based on data envelopment analysis and tobin model. J. Tongji Univ. (Nat. Sci. Edn.) 46(9), 1306–1311 (2018)

    MATH  Google Scholar 

  10. Yang, J., Xu, F., Zhao, L., Zhang, C., Zhao, D., Zhang, X.: Arable land protection zoning method based on comprehensive quality space autocorrelation analysis. J. Agric. Mach. 48(3), 156–163 (2017)

    Google Scholar 

Download references

Acknowledgements

This paper was supported by Jilin Engineering Normal University Research Fund and Sehan University Research Fund in 2020.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chunyan Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, C., Kim, HH. (2020). The Evolution of Hot Spots of Chinese Tourists’ Outbound Tourism. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_75

Download citation

Publish with us

Policies and ethics