| As a strategic pillar industry of China’s national economy,tourism is booming and facing a series of pressures such as unbalanced development in various regions,low level of management standards and sustainable development.Domestic tourism is the most important part of China’s tourism industry.If we can grasp the potential relationship between domestic tourism and related factors,it will help the government and relevant enterprises to find the existing problems and formulate effective policies and measures,so as to promote the healthy and sustainable development of domestic tourism in various regions of China.Therefore,a systematic study on the influencing factors of domestic tourism income has important practical application value.Based on the panel data of 31 provinces,municipalities and autonomous regions in China from 2011 to 2018,this paper analyzes the current situation of China’s domestic tourism economic development and its influencing factors by taking domestic tourism revenue as the research object.On this basis,the spatial Durbin model(SDM),quantile regression model and non-parametric regression model are constructed to study the spatial effect,heterogeneity effect and nonlinear effect of each influencing factor on domestic tourism income.Finally,corresponding policy suggestions are put forward according to the empirical results.Research results show that:(1)The domestic tourism industry in our country is playing an increasingly important role in economic activities,but there are regional development imbalances,embodied in the total difference between provincial,had a tendency to expand,eastern,central and western region difference is the main source of total difference,the difference in the western region is the largest.(2)The development of domestic tourism economy in other provinces will inhibit the development of domestic tourism economy in this region.The level of economic development,tourism core attractions,infrastructure and labor resource input have a significant positive effect on the domestic tourism income in this province,but the impact on other provinces is not obvious.Tourism reception capacity has no significant effect on domestic tourism income in the province,but has significant inhibition effect on other provinces.The difference between the direct effect and the elastic coefficient is due to the existence of feedback effect in the direct effect.(3)The economic development level at 0.01-0.99 quantiles has a significant effect on the domestic tourism income,and its size decreases first and then increases,and the 0.9 loci reaches the minimum value.The tourism core attraction has a significant driving effect on domestic tourism income only at 0.4-0.75 quantiles,and its size increases first and then decreases,with 0.6 quantiles reaching the maximum value.Infrastructure has a significant driving effect on domestic tourism revenue at 0.01-0.99 quantiles,and its size decreases first and then increases,but the range of change is not big.Labor resource input only has a significant effect on promoting domestic tourism income at 0.01 to 0.1 quantiles.(4)The output elasticity of economic development has a decreasing trend with the level of economic development and tourism reception capacity,an increasing trend with the core attractions of tourism,an inverted "U" shape with infrastructure,and a "U" shape with the input of labor resources;The elasticity of tourism core attractions shows a "U" shape with economic development level,an inverted "U" shape with tourism reception capacity and infrastructure,a decreasing trend with tourism core attractions,and an increasing trend with labor resources input.The output elasticity of infrastructure has an inverted "U" shape with the level of economic development,and has a decreasing trend with tourism reception capacity,tourism core attraction and labor resource input,and has a "U" shape with infrastructure. |