KLUM@GTAP: Introducing biophysical aspects of land-use decisions into a general equilibrium model: A coupling experiment
In this paper the global agricultural land use model KLUM is coupled to an extended version of the computable general equilibrium model (CGE) GTAP in order to consistently assess the integrated impacts of climate change on global cropland allocation and its implication for economic development. The methodology is innovative as it introduces dynamic economic land-use decisions based also on the biophysical aspects of land into a state-ofthe- art CGE; it further allows the projection of resulting changes in cropland patterns on a spatially more explicit level. A convergence test and illustrative future simulations underpin the robustness and potentials of the coupled system. Reference simulations with the uncoupled models emphasize the impact and relevance of the coupling; the results of coupled and uncoupled simulations can differ by several hundred percent.
|Date of creation:||May 2006|
|Date of revision:||May 2006|
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- Darwin, Roy & Tsigas, Marinos E. & Lewandrowski, Jan & Raneses, Anton, 1995. "World Agriculture and Climate Change: Economic Adaptations," Agricultural Economics Reports 33933, United States Department of Agriculture, Economic Research Service.
- Kerstin Ronneberger & Uwe A. Schneider & Richard S.J. Tol, 2005. "Klum: A Simple Model Of Global Agricultural Land Use As A Coupling Tool Of Economy And Vegetation," Working Papers FNU-65, Research unit Sustainability and Global Change, Hamburg University, revised May 2005.
- Lee, Huey-Lin & Thomas Hertel & Brent Sohngen & Navin Ramankutty, 2005. "Towards An Integrated Land Use Database for Assessing the Potential for Greenhouse Gas Mitigation," GTAP Technical Papers 1900, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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- Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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