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| Michetti, Melania; Parrado, Ramiro. |
| We present a computable general equilibrium model properly modified to analyse the potential role of the European forestry sector within climate mitigation. Improvements on database and modelling frameworks allow accounting for land heterogeneity across and within regions and for land transfers between agriculture, grazing, and forestry. The forestry sector has been modified to track carbon mitigation potential from both intensive and extensive forest margins, which have been calibrated according to a forest sectoral model. Two sets of climate policies are simulated. In a first scenario, Europe is assumed to commit unilaterally to reduce CO2 emissions by 20% and 30%, by 2020. In a second scenario, in addition to the emissions quotas, progressively higher... |
| Tipo: Working Paper |
Palavras-chave: Climate Change; Climate Mitigation; General Equilibrium Modelling; Forestry; Environmental Economics and Policy; D58; Q23; Q54; Q58. |
| Ano: 2012 |
URL: http://purl.umn.edu/122862 |
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| Michetti, Melania; Parrado, Ramiro. |
| We present a computable general equilibrium model properly modified to analyse the potential role of the European forestry sector within climate mitigation. Improvements on database and modelling frameworks allow accounting for land heterogeneity across and within regions and for land transfers between agriculture, grazing, and forestry. The forestry sector has been modified to track carbon mitigation potential from both intensive and extensive forest margins, which have been calibrated according to a forest sectoral model. Two sets of climate policies are simulated. In a first scenario, Europe is assumed to commit unilaterally to reduce CO2 emissions of 20% and 30%, by 2020. In a second scenario, in addition to the emissions quotas, progressively higher... |
| Tipo: Presentation |
Palavras-chave: Climate Change; Climate Mitigation; General Equilibrium Modelling; Forestry; Land Economics/Use; D58; Q23; Q54; Q58. |
| Ano: 2012 |
URL: http://purl.umn.edu/124380 |
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