Global warming is inseparable from the increase in carbon dioxide concentration. In the process of industrialization and urbanization, the use and transformation of land by humans is an important reason for the rapid increase in carbon content in the global atmosphere, and there is a great potential for carbon emissions reduction during the process of land utilization. Therefore, the carbon emissions of Fujian Province was studied from the perspective of different land use methods.The Gini coefficient was used to measure the spatial differences of carbon budget of cities in Fujian Province, and the scale and spatial differences of land use carbon budgets in the region were explored. Using social network analysis method, we investigated the overall characteristics of the spatial network structure of land use carbon emissions in Fujian Province and the role of city in the network structure, which is helpful to assess the environmental impact caused by human activities at the basic level and adjust land use methods in time so as to promote the development of low-carbon economy. The results showed that from 2006 to 2018, the net carbon emissions from land use in Fujian Province increased year by year, indicating a spatial distribution characteristic of high in the east and low in the west. Construction land is the main carbon source, and forest land plays the role of the main carbon sink. The carbon compensation rate in the region decreased year by year and had obviously spatial differences, and the carbon compensation rate of economically developed regions is lower than that of economically underdeveloped regions. The gap between the east and the west in the ecological carrying coefficients is constantly increasing, and the proportion of carbon emissions in the eastern region obviously exceeds that of carbon absorption. Carbon emissions from land use in Fujian province has obvious spatial relevance and spillover effects. The spatial network of carbon emissions is becoming more and more complex and stable. The status and role of different cities in the network are obviously imbalanced. Xiamen City occupies the leading position in the entire carbon emission network, and the status and role of the carbon influence of other cities in the network is gradually increasing as economic links gradually strengthen. It is found in the network space clustering that the first and third modules have both internal and external spillover effects with high density value, which belong to the "two-way spillover module", and the remaining second and fourth modules belong to the "net income module". On the basis of the research, cities in Fujian province are divided into three types of areas:low-carbon optimization area, total carbon control area, and carbon sink functional area. We put forward relevant policy recommendations for the coordinated emission reduction.