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Abstract

A rectangular economic input-output table for the Sudan is presented, based on nine sectors, thirty-seven commodities, six primary inputs, and seven final demand categories. Four possible models of intermediate consumption are derived by using linear programming and entropy maximizing. The table is then linked to a coefficient representing wood use per unit of output in the Sudanese economy. A policy aimed at a reduction in wood use is tested by simulating the introduction of more efficient charcoal stoves into urban households. Implementation of the policy would lead to a significant reduction in total wood used, from 88 km² to 194 km² per year, depending on which of the four models for intermediate consumption is utilized. Reallocation of the resulting savings by households into energyintensive commodities, however, reduces the effectiveness of the policy by as much as 48%.

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Simulation of a Policy Aimed at the Reduction of Wood Use in the Sudan

Abstract

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