The greenhouse gases produced by residents' food consumption are an important aspect of the greenhouse effect and have an important impact on the ecological environment of China. The western region has a well-developed animal husbandry and abundant food resources, so it is of great significance to study the carbon emissions of residents' food consumption in the western region. Based on the carbon emission coefficients of each food type, the carbon emissions of food consumption of residents in 12 provinces in western China (Chongqing, Sichuan, Yunnan, Guizhou, Tibet, Shaanxi, Gansu, Qinghai, Xinjiang, Ningxia, Inner Mongolia and Guangxi) from 2015 to 2021 was calculated. The dynamic evolution and spatial characteristics of carbon emissions from food consumption in each province were analyzed through spatial correlation network analysis. The conditions are as follows.①From 2015 to 2021, the carbon emissions of food consumption of residents in the western region increase and decrease, showing an upward trend in 2015-2016, and then showing a downward trend from 2016 to 2020, but in 2021, due to the slight slowdown of the epidemic and the strong desire of residents to consume, the per capita carbon emissions of food consumption of residents in all provinces and cities in the western region have increased, so the per capita carbon emissions of food consumption of residents in the western region have increased significantly from 2020 to 2021. ②The overall network structure characteristics of indirect carbon emissions from household consumption in western China show a cyclical fluctuation trend, with the average number of network associations and network density being only 37.3 and 0.28. The spatial correlation of carbon emissions among the western provinces is not high, the network structure is relatively loose, and the differences of network levels are obvious. ③ Among the characteristics of individual network structure, Gansu, Guizhou, Inner Mongolia, Shaanxi and Sichuan provinces are in a dominant position in the spatial correlation network of indirect carbon emissions of household consumption in the west, and have a strong control and dominance of carbon emissions-related factors, while Xinjiang, Qinghai and Ningxia in the northwest are located at the edge of the network, and Gansu, Guizhou, Inner Mongolia and Shaanxi are not only closely spatially related to other provinces, but also play the role of "intermediary".