Author(s)

Suya Liu

Corresponding Author

Suya Liu

Abstract

The relationship between tourism management and urban economic growth has always been an important theme in the study of tourism economy. In this paper, in order to study the influence of tourism on economic growth, we selected the Cobb-Douglas production function, and tourism variables are introduced into the accounting equation of production function. The logarithm is taken to obtain the linear model lnY=lnA+αlnK+βlnL+γlnT+μ as the basis of the study. Then, based on the availability of each index data, this paper selects the GDP output of 16 provinces, cities and autonomous regions in Beijing, Shanxi Province, Inner Mongolia Autonomous region, Liaoning Province, Jilin Province, Shanghai, Jiangsu Province, Zhejiang Province, Anhui Province, Fujian Province, Jiangxi Province, Shandong Province, Henan Province, Hunan Province, Guangdong Province and Guangxi Zhuang Autonomous region from 2008 to 2017 as the explained variables. The total fixed assets investment of the whole society, the annual employment of labor force and the total income of tourism are used as explanatory variables to explore the impact of tourism on the economic growth of provinces, cities and autonomous regions. According to the panel data processing method and modeling process introduced in this paper, the LLC, IPS, ADF, PP stationarity test of the collected panel data is carried out, but because of the characteristics of the data in this paper, no cointegration test is carried out. Finally, the regression model of panel data is determined, the fixed effect model is selected, and the conclusion is drawn: on the premise that labor and capital remain unchanged, each additional unit of total tourism revenue will boost total economic production by 0.266 points. Thus, it can be seen that urban tourism management has a great impact on urban GDP.

Keywords

Urban management, Tourism economy, Panel data, ADF test, Cointegration test