Type | Journal Article |
Title | Economic Model to Forecast Future Rates of Deforestation and forest Degradation in Nepal |
Author(s) | |
Publication (Day/Month/Year) | 2015 |
URL | http://www.forestrynepal.org/images/publications/economicmodellingforecastforest.pdf |
Abstract | This report describes the development of two important models for analyzing the impacts of REDD policy in Nepal: A dynamic land use model and a Computable General Equilibrium Model (CGE). The dynamic land use model provides projections of distribution of land use change and forest management change. The CGE model provides projections of the demand for wood and agricultural products as well as the resulting demand for land. The models are designed to estimate the effects of REDD policy spatially within Nepal and to illustrate how the resulting financial flows and land use changes will interact within the economy. Both models are developed with Nepal specific most recent available data. The dynamic land use model is a dynamic optimization approach that models land use in three categories namely forests, crops, and livestock. Payments are made directly within the model for carbon and the model re-allocates land among uses and regions to optimally store carbon and produce crop, livestock, and forest outputs. The CGE model is a standard approach that relies on a recently developed social accounting matrix for the country of Nepal. The dynamic land use model suggests that forestland is increasing modestly in the baseline case, by around 2000 hectares per year over the next 60 years. The change is not the same in all regions. The Mid-hill region experiences more afforestation over the next 60 years, while Terai and Churia experience modest deforestation of around 1800 hectares per year in total as land converts to croplands. Some of the increase in croplands in Terai and Churia is derived from pastureland, albeit a small amount. When carbon prices are added to the dynamic land use model, the model suggests that for around $10 per ton CO2, deforestation will largely be stopped. Interestingly, deforestation continues to occur in Churia in all of the scenarios examined, suggesting the relatively high value of crop production there. The largest changes in land-use occur in the least productive area, the Mid-Hill region. The CGE model is stimulated with a REDD policy that induces 2617 additional hectares each year to be maintained in agricultural production for a payment of 2761 million Nepalese Rupees each year. Under this policy, the effects are initially positive for Nepal, but over time, the removal of land from agricultural production reduces rate of growth in overall economic activity in Nepal although the overall such effects are small. |
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