Spatiotemporal heterogeneity of carbon emission intensity distribution in the tourism industry and its calculation methods

To accurately measure the carbon emission intensity of tourism, a comprehensive measurement method is proposed in this study. This method combines statistical data and standard deviation ellipse analysis, which can reflect the actual situation of carbon emission in tourism more comprehensively. The spatial autocorrelation of regional tourism is obtained by global Moran's I index and local Moran's I index, and the spatial and temporal evolution characteristics of tourism carbon emission intensity are extracted by standard deviation ellipse analysis. By calculating the consumption stripping coefficient, carbon emission intensity and total carbon emission of tourism, the carbon emission intensity of tourism is calculated. China is divided into eastern, central and western regions, and the carbon emission level and intensity in the region are calculated. The results show that: (1) from 2012 to 2021, the carbon emissions of tourism in various regions generally showed an increasing trend, but the carbon emissions in the eastern region were the highest. (2) From 2018 to 2021, the carbon emission intensity of tourism in different regions is basically the same, and the research period shows a certain downward trend. (3) The accuracy of calculating the carbon emission intensity of tourism in each region obtained by this method can reach 86.5%.