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Klum@Gtap: Introducing Biophysical Aspects of Land-Use Decisions Into a General Equilibrium Model A Coupling Experiment

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  • Kerstin Ronneberger

    (Deutsches Klimarechenzentrum GmbH)

  • Maria Berrittella

    (University of Palermo)

  • Francesco Bosello

    (Fondazione Eni Enrico Mattei and International Centre for Theoretical Physics)

  • Richard S.J. Tol

    (Princeton University, Vrije Universiteit and Hamburg University)

Abstract

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-of-the-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.

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Bibliographic Info

Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2006.102.

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Date of creation: Aug 2006
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Handle: RePEc:fem:femwpa:2006.102

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Keywords: Land-Use Change; Computable General Equilibrium Modeling; Integrated Assessment; Climate Change;

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  1. W. J. McKibbin & P. J. Wilcoxen, . "The Theoretical and Empirical Structure of the G-Cubed Model," Discussion Papers, Brookings Institution International Economics 118, Brookings Institution International Economics.
  2. 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, Research unit Sustainability and Global Change, Hamburg University FNU-65, Research unit Sustainability and Global Change, Hamburg University, revised May 2005.
  3. Darwin, Roy & Tsigas, Marinos E. & Lewandrowski, Jan & Raneses, Anton, 1995. "World Agriculture and Climate Change: Economic Adaptations," Agricultural Economics Reports, United States Department of Agriculture, Economic Research Service 33933, United States Department of Agriculture, Economic Research Service.
  4. 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.
  5. 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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Cited by:
  1. Vitezslav Pisa & Jan Bruha & Vitezslav Pisa, 2011. "Dynamics of the Commodity Prices and Quantities: An Analysis using a Dynamic Multiregional CGE Model," EcoMod2011 2889, EcoMod.
  2. Gary W. Yohe & Richard S.J. Tol & Dean Murphy, 2007. "On Setting Near-term Climate Policy while the Dust Begins to Settle: The Legacy of the Stern Review," Working Papers, Research unit Sustainability and Global Change, Hamburg University FNU-129, Research unit Sustainability and Global Change, Hamburg University, revised Mar 2007.
  3. Eduardo A. Haddad & Alexandre A. Porsse, Paula C. Pereda, 2012. "Territorial Economic Impacts of Climate Anomalies in Brazil," Working Papers, Department of Economics, University of São Paulo (FEA-USP) 2012_20, University of São Paulo (FEA-USP).
  4. Thierry Brunelle & Patrice Dumas, 2012. "Can Numerical Models Estimate Indirect Land-use Change?," Working Papers, Fondazione Eni Enrico Mattei 2012.65, Fondazione Eni Enrico Mattei.
  5. Beckman, Jayson & Hertel, Thomas & Tyner, Wallace, 2011. "Validating energy-oriented CGE models," Energy Economics, Elsevier, Elsevier, vol. 33(5), pages 799-806, September.
  6. Burrell, Alison M., 2008. "Art or science? The challenges of publishing peer reviewed papers based on linked models," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(8).

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