Abstract: Based on the calculations of agricultural carbon emissions in 14 prefecture-level cities in Liaoning Province from 2012to 2021, this study analyzed its temporal and spatial characteristics. It evaluated the fairness of carbon emissions based on the coefficient of ecological carrying capacity and economic contribution coefficient of agricultural carbon emissions. The study used the Geo-detector tool to analyze the main factors influencing the intensity of agricultural carbon emissions. The results showed that the carbon emissions from agriculture in Liaoning indicated a trend of slow growth, with the northwestern region being a high-carbonemitting area and the central region being a low-carbon-emitting area. The regional differences in carbon emissions were expanding.According to the fairness matrix classification, Dalian and Benxi cities had a low ecological carrying capacity coefficient but a high economic contribution coefficient corresponding to the "low-high" type. Huludao City fell into the "low-low" type; while Liaoyang City had changed from a "high-high" type to a "high-low" type, and Shenyang, Fushun, Yingkou, and Panjin cities had changed from "low-high" to "high-high" types. The intensity of agricultural carbon emissions in Liaoning was mainly affected by the agricultural industrial structure and agricultural production efficiency with the industrial structure being the decisive factor influencing the intensity of agricultural carbon emissions. Apart from the agricultural workforce, all factors had a positive influence on the intensity of agricultural carbon emissions.