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Academic Journal of Computing & Information Science, 2020, 3(2); doi: 10.25236/AJCIS.2020.030202.

Analysis of People's Travel to China Based on Grey Correlation

Author(s)

Hangrui Zhang

Corresponding Author:
Hangrui Zhang
Affiliation(s)

School of Guanghua Cambridge, Shanghai 201319, China
442586308@qq.com

Abstract

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.

Keywords

the mainland of China, tourism, grey correlation analysis

Cite This Paper

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.

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