Epsilon Open Archive

Abstract

Reduction in emissions of green house gases (GHG) from consumption of fuel and
food and implementation of negative emissions, such as forest carbon sequestration and
carbon capture and storage, have been suggested in practice and literature. One challenge is
the uncertainty in reductions of GHG depending on e.g stochastic weather conditions. This
paper calculates cost effective combinations of the emission reductions in fuel and food and
creation of negative emissions in Sweden under uncertainty by using probabilistic constraint
modelling. The results show that the cost of emission reductions in fuel and food consumption
are relatively expensive and carbon sequestration by forest management and conversion of
arable land are low cost measures. It is also shown that the regional welfare effects at the
county level are regressive, i.e. that relatively poor counties carry a large cost burden in cost
effective solutions.