Academic Journal of Computing & Information Science, 2020, 3(2); doi: 10.25236/AJCIS.2020.030202.
School of Guanghua Cambridge, Shanghai 201319, China
With the rapid development of society, people's demand for entertainment has increased, and traveling to the mainland of China has become the choice of many people. This article analyzed the influence of seven different factors on inbound and outbound tourism by establishing a correlation model of influential factors on inbound tourism of people from 1995 to 2016. The research results showed that the number of travel agencies, the number of star-rated hotels, and the size of the resident consumption index are the main factors affecting the number of inbound tourists, and the exchange rate of RMB against the US dollar has little effect on the number of inbound tourists. The research in this article is of great significance to the systematic study of people's travel to the mainland of China.
the mainland of China, tourism, grey correlation analysis
Hangrui Zhang. Analysis of People's Travel to China Based on Grey Correlation. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 2: 6-10. https://doi.org/10.25236/AJCIS.2020.030202.
 Ma J X, Buhalis D, Song H. ICTs and Internet adoption in China's tourism industry [J]. International Journal of Information Management, 2003, 23 (6): 451-467.
 Tisdell C, Wen J. Investment in China's tourism industry: Its scale, nature, and policy issues [J]. China Economic Review, 1991, 2 (2): 175-193.
 Bo M. Transformation: The Trend and Selection of the Development of China's Tourism Industry [J]. TOURISM TRIBUNE, 1999, 6.
 Song, Hanqun, Hsu, Cathy H. C. The Image of Taiwan as a Travel Destination: Perspectives from Mainland China [J]. Journal of Travel & Tourism Marketing, 30 (3): 253-271.
 Huang W J , Chen C C , Lin Y H . Cultural proximity and intention to visit: Destination image of Taiwan as perceived by Mainland Chinese visitors [J]. Journal of Destination Marketing & Management, 2013, 2 (3): 176-184.
 Chang C L, Hsu H K . Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan [J]. MPRA Paper, 2013.