The location quotient and decomposition method are used to estimate the degree of tourism industry agglomeration and the intensity of tourism CO2 emissions from 2001 to 2016. The approach of the center of gravity analysis and the spatial autocorrelation are applied to explore the spatial evolution and intrinsic correlation. A regression model of two issues is constructed to clarify the impact of tourism industry agglomeration on tourism CO2 emissions. Results show that: (1) The agglomeration of

more »

... tourism industry and the intensity of tourism CO2 emissions are in an unbalance spatial distribution. The agglomeration of tourism industry is characterized by high-value in the east and central part, and low-value in the west, and the intensity of tourism CO2 emissions is opposite. (2) The concentration of tourism industry is distributed in Zhumadian City and Nanyang City and the junction zone in Henan Province. The overall trajectory of the tourism industry is slightly shifted to the northwest. The moving distance is about 112.362 km. The center of gravity of tourism CO2 emissions intensity is distributed in Shangluo City, Ankang City in Shaanxi Province, Shiyan City in Hubei Province. The center of gravity of trajectories shows a tendency toward the south to the east. The moving distance is about 256.734 km. (3) The tourism industry agglomeration will reduce the intensity of tourism CO2 emissions. There is a spatial negative correlation between tourism industry agglomeration and tourism CO2 emissions intensity. High agglomeration-low emissions are mainly distributed in Beijing,