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.
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References
Zhang, L.: Diversified development trend of leisure tourism in the era of experience economy. Sci. Technol. Outlook 26(23), 256 (2016)
Lu, F., Lou, S., Ming, Q., Zhu, T.: Connotation analysis and conceptual model of tourism industry ecology. Tour. Res. 9(5), 22–30 (2017)
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)
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)
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)
Brayne, S.: Big data surveillance: the case of policing. Am. Sociol. Rev. 82(5), 977–1008 (2017)
Lee, C.H., Yoon, H.J.: Medical big data: promise and challenges. Kidney Res. Clin. Pract. 36(1), 3 (2017)
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)
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)
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)
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This paper was supported by Jilin Engineering Normal University Research Fund and Sehan University Research Fund in 2020.
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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
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DOI: https://doi.org/10.1007/978-3-030-43309-3_75
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