Abstract: It is gradually becoming a world consensus to cope with global warming and promote sustainable development. The increase of carbon dioxide concentration makes climate change more serious， and land use change is an influential factor to increase carbon dioxide concentration. Based on land use data， energy consumption data， and the construction of carbon emission calculation model， we explore the characteristics of its spatial pattern of carbon emission in Jiangxi Province from 2000 to 2018， analyze the spatial differences of carbon emission and carbon income and expenditure in the region by Gini coefficient， economic contribution coefficient and ecological carrying coefficient， and propose differentiation strategies according to carbon balance zoning. TThe results show that: ①The total land use carbon emissions in Jiangxi Province increased year by year during the study period， from 12，156，870，000 tons to 49，074，250 tons， construction land dominates in the total carbon emissions， forest land plays a major role in carbon sinks， and the study area generally shows a net carbon source and a high pressure of carbon emission reduction. ②The spatial pattern of carbon emissions in the region is characterized by high north and low south， and high west and low east. ③In terms of time trends， the spatial distribution of net carbon emissions in Jiangxi Province tends to be decentralized from centralized to decentralized， and the carbon offset rate is lower than 34% in all years， and there is spatial variability in the decreasing year by year， and there is also significant variability in the spatial distribution of economic contribution coefficient and ecological carrying coefficient， and both are in a decreasing trend， indicating that the economic efficiency of carbon emissions and the carbon sink capacity of Jiangxi Province are gradually weakening. ④Based on carbon balance analysis， the prefecture-level cities in Jiangxi Province can be divided into five functional areas for carbon emission development based on relevant indicators: carbon sink functional area， low carbon economic area， carbon intensity control area， and high carbon optimization area carbon. The study shows that the spatial differences in carbon emissions from land use in Jiangxi Province are significant， and the difficulties of collaborative emission reduction are greater， and the land use structure should be adjusted according to local conditions to promote the development of low-carbon economy in the province.