Research on Influencing Factors of Domestic Tourism Revenue based on Multiple Linear Regression Analysis

Abstract

The purpose of this paper is to explore the factors that have an impact on the domestic tourism industry in the process of economic development. This paper uses the statistical analysis method of multiple linear regression to analyze the specific situation of tourism from 1994 to 2022, and the statistical method of multiple linear regression aims to analyze the impact of disposable income, GDP, transportation development level, environmental resources, basic city construction and other factors on tourism development. In order to further ensure the reliability of the conclusions, the per capita disposable income of four regions in the eastern, western, central and northeastern regions was obtained through linear regression from different regions to specific cities, and the per capita disposable income and per capita consumption expenditure of urban residents in each region from 2015 to 2021 were counted. In the end, it was concluded that the discretionary point in the eastern region was much higher than the average compared to other regions, but it did not have a significant impact on the total tourism expenditure.