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9 - Computable general equilibrium modelling applications

Published online by Cambridge University Press:  05 August 2012

Mohan Munasinghe
Affiliation:
Munasinghe Institute for Development, Sri Lanka
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Summary

In this chapter, two case studies demonstrate the use of computable general equilibrium (CGE) models to analyse economy-wide sustainable development issues and explore economic–social–environmental links. Sections 9.1 to 9.4 develop the ECOGEM model to assess economic, social and environmental policy linkages in Chile – focusing on urban air pollution, poverty, income distribution and employment. The model examines the potential for combining different policies to enhance positive cross-effects of environmental and social policies, or to mitigate the negative side-effects of any single policy. The results show that general equilibrium modelling is useful for holistically analysing the impacts of different economy-wide policies. Winners and losers may be identified with the potential magnitude of gains and losses, including indirect effects. In Sections 9.5 to 9.7, a static CGE model of Costa Rica is used to study the effects of macroeconomic policies on deforestation and to identify remedial policy options. The model confirms the results of partial equilibrium analyses: (1) establishing property rights tends to decrease deforestation, because such rights allow forest users to capture the future benefits of reduced logging damage today and (2) higher interest rates promote deforestation and vice versa. The CGE approach also clearly identifies the indirect effects (due to intersectoral links), which must be combined with the direct effects to determine the total impact. Finally, the model underlines the importance of pursuing sectoral reforms in the context of growth. A dynamic CGE model of Costa Rica gives essentially the same results as the static CGE model presented here.

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Sustainable Development in Practice
Sustainomics Methodology and Applications
, pp. 269 - 310
Publisher: Cambridge University Press
Print publication year: 2009

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