Data Analysis Model Based On Domestic Tourism Revenue

With China's economic rapid growth,China's tourism industry has entered a period of rapid growth in recent years.Tourism has gradually become one of the pillar industries in China's economy,not only contribute to China's economic growth,but also adjust the national industrial economic adjustment,promote the urbanization process,narrow income gaps,balance of payments.To promote better and faster development of tourism,it is necessary to study the influence factors of domestic tourism income.If we can correctly grasp the internal relationship between domestic tourism income and other factors,it will actively promote the healthy development of China's domestic tourism market.This paper is based on the existing research results from home and abroad,by comprehensive selected 1995-2015 the domestic tourism income and its related economic,financial,transportation and other aspects of the annual data and selected one of the most representative of the indicators,and the traffic is a comprehensive traffic index which combines the highway mileage,railway mileage and air mileage by principal component analysis.And discussed quantitatively the relative importance of various factors on domestic tourism income by grey correlation analysis.The analysis results show that the domestic tourism income and financial institutions RMB credit amount most closely related,urban and rural resident's per capita disposable income and comprehensive traffic mileage of the second,relationship with the number of star-rated hotels,employment in the tertiary industry is relatively weak.In order to further study the influence mechanism of domestic tourism income,this paper established the vector auto-regression model of financial institutions RMB credit amount,urban and rural resident's per capita disposable income and comprehensive traffic mileage which higher correlation with domestic tourism income.The conclusions indicate that there is a long-term equilibrium relationship between the total amount of RMB credit and urban,rural resident's per capita disposable income and domestic tourism income,the total amount of RMB credit of financial institutions,the per capita disposable income of urban and rural residents and integrated traffic mileage on domestic tourism income are positive.Finally,according to the result of empirical analysis,this paper puts forward relevant policy recommendations.