Multi-factor Statistical Analysis of Tourism Development in China

This paper studies the present situation of tourism in China and the factors that affect the income of tourism in different regions. The tourism data of 2008-2018 are used for research and analysis, including the per capita disposable income of each region, the length of transportation lines, the number of accommodation corporate enterprises, GDP, international tourism revenue, tourism fixed assets and tourism revenue of the provinces, etc. With the help of Eviews software, after eliminating the Multicollinearity, heteroscedasticity and autocorrelation, a multivariate statistical model was established, and the effect of each factor on tourism is analyzed. In addition, the paper puts forward reasonable suggestions on improving the efficiency of tourism service and vigorously promoting the development of linkage industry.