Abstract:  

It’s helpful to provide industrial competitiveness guidance for industries in different development stages and different development levels for forest parks in different provinces in China by analysis their evolution and influence factors. Firstly, constructed index system of competitiveness of forest parks tourism industry in 31 provinces(municipalities and autonomous regions) in our country, then calculated scores of competitiveness of tourism industry in each province and analyze its temporal and spatial evolution characteristics. Finally, used quantile regression to study the main influencing factors of the spatial differences of forest park tourism industry competitiveness. The research found, the average competitive value of the tourism industry in China's Forest Park is relatively low with large regional differences, showing a decreasing state of the eastern part to the central and western part; In the period of 2004-2014, the competitiveness of the tourism industry in the forest parks in the western provinces has been relatively small, mainly due to the "short board effect", which shows that the western provinces have a large disparity in industrial efficiency with the eastern and central provinces; There are two highlevel forest parks tourism industry competitiveness centers in northeastern and southeast China, and with a trend of gradually spreading to surrounding areas and boosting the development of neighboring provinces; The quantile regression shows that, National support efforts, management inputs, resource endowments, economic fundamentals, brand effects and traffic convenience will affect the competitiveness of tourism industries in forest parks in different provinces at different quantile regression points. The differences of influencing factors on the competitiveness of tourism industry in forest park at different points provide a good reference for improving the competitiveness of each region.