EU milk quota removal brings a renewed focus on continued adoption of sustainable
technologies. This article explores spatial effects in their adoption using Bayesian
spatial probit models employing a representative sample of Irish dairy farms. We
consider global and local spatial effects, and overcome a missing neighbour problem
by implementing census data in our spatial weight matrix. The findings reveal that
spatial effects spill over to neighbours and better educated farmers with larger more
intensively managed farms are more likely to adopt. The article concludes with policy
recommendations that arise from our spatial analysis
