The agricultural sector is increasingly under pressure to participate in the greenhouse gas (GHG) emission reduction effort. At the farm level, significant improvements can be achieved through the adoption of new technologies. This study explores the heterogeneity in the effect of GHG mitigation strategies across the distribution of GHG emissions on Irish dairy farms. The econometric analysis is performed on an unbalanced panel dataset by using fixed effects (FE) unconditional quantile regression models. The preliminary results reveal that GHG mitigation strategies have a differential effect across the distribution of GHG emissions, with two main implications. First, the findings suggest that relying on estimations of a technology’s effect at the mean can be somewhat misleading as this does not reflect the effect of heterogeneity. Second, the study shows that the effect of GHG mitigation strategies is larger for high emitting farms than for low emitting farms.