This paper demonstrates two independent methodologies for the regional
allocation of world greenhouse gas emission reductions; one based on
mathematical programming and the other on a game theoretic method know
n as the Shapley value. Both methodologies make use of the solution of
a world emission reduction problem that exploits techniques of mathem
atical programming to produce an optimal world emission reduction stra
tegy, by maximizing an economic utility function. The analysis illustr
ates that allocations of regional CO2 emission reductions are not only
methodology dependent but also sensitive to targets placed on global
CO2 concentrations.