LAUSR

This paper describes the measurement method for agricultural carbon emissions in the Xinjiang Uygur Autonomous Region over the past 16 years. Here is analysis on spatial and temporal disparities in the carbon emissions with diverse characteristics. LMDI model decomposes some key factors that affect agricultural carbon emissions. The results reveal that the gross carbon emissions from agriculture in Xinjiang show an upward trend during the past 16 years, while the carbon intensity gets moderate; the carbon emissions in various prefectures present different intensities and patterns. Agricultural economy development level and the size of agricultural labor force have a positive impact on carbon emissions, whereas agricultural production efficiency and industrial structure go the other way around.