4. Conclusions
The paper establishes the panel threshold regression model containing railway indicator, economic indicator, demographic indicator and environmental indicator, to describe the linear and nonlinear influence of China’s railway and high-speed railway on the aviation transport industry under each aviation mileage. By conducting empirical analysis, the conclusions can be summarized as follows. To the airlines in different areas, the railway and high-speed railway will generate positive shock on the aviation transport industry when the aviation mileage is small. When the aviation mileage is getting larger, China’s railway will promote the development of the aviation transport industry to some extent. Moreover, the economic development has the largest influence on the aviation industry.
As can be seen from the panel threshold regression model of China’s railway’s influence effect on the aviation industry, when the aviation mileage is lower than 490 km, China’s railway has a substitution effect to the aviation passenger volume, with an elasticity coefficient of 0.1931; when the distance between the departure and the destination is further, China’s railway will promote the development of the aviation to some extent. At the same time, when the aviation mileage is lower than 611 km, China’s railway will exert a positive shock on the flight number. When the aviation mileage is more than 611 km, the flight number at the departure and the destination will increase as the aviation mileage increases. The elasticity of the level of the economic development at the departure and the destination to the aviation industry is 0.7308 and 0.7082 respectively, making it a key factor influencing the development of the aviation.