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KLUM@GTAP: Spatially-Explicit, Biophysical Land Use in a Computable General Equilibrium Model

Author

Listed:
  • Ronneberger, Kerstin
  • Berrittella, Maria
  • Boselle, Francesco
  • Tol, Richard

Abstract

*Chapter 12 of the forthcoming book "Economic Analysis of Land Use in Global Climate Change Policy," edited by Thomas W. Hertel, Steven Rose, and Richard S.J. Tol. 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 implications 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 at a spatially explicit level. A convergence test and illustrative future simulations underpin the robustness analysis and serve to highlight the potential 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.

Suggested Citation

  • Ronneberger, Kerstin & Berrittella, Maria & Boselle, Francesco & Tol, Richard, 2008. "KLUM@GTAP: Spatially-Explicit, Biophysical Land Use in a Computable General Equilibrium Model," GTAP Working Papers 2611, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    • Handle: RePEc:gta:workpp:2611
    Note: GTAP Working Paper No. 50
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    File URL: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=2611
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    Citations

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    Cited by:

    1. Ruslana Rachel PALATNIK, 2008. "Climate Change Assessment and Agriculture in General Equilibrium Models: Alternative Modeling Strategies," EcoMod2008 23800101, EcoMod.
    2. Edwin Van Der Werf & Sonja Peterson, 2009. "Modeling linkages between climate policy and land use: an overview," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 507-517, September.
    3. Francesco Bosello & Lorenza Campagnolo & Raffaello Cervigni & Fabio Eboli, 2018. "Climate Change and Adaptation: The Case of Nigerian Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(4), pages 787-810, April.
    4. 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.
    5. Melania Michetti & Matteo Zampieri, 2014. "Climate–Human–Land Interactions: A Review of Major Modelling Approaches," Land, MDPI, vol. 3(3), pages 1-41, July.
    6. Ruslana Palatnik & Roberto Roson, 2012. "Climate change and agriculture in computable general equilibrium models: alternative modeling strategies and data needs," Climatic Change, Springer, vol. 112(3), pages 1085-1100, June.
    7. Zhai, Fan & Lin, Tun & Byambadorj, Enerelt, 2009. "A General Equilibrium Analysis of the Impact of Climate Change on Agriculture in the People’s Republic of China," Asian Development Review, Asian Development Bank, vol. 26(1), pages 206-225.
    8. Kretschmer, Bettina & Peterson, Sonja, 2010. "Integrating bioenergy into computable general equilibrium models -- A survey," Energy Economics, Elsevier, vol. 32(3), pages 673-686, May.
    9. Glotin, David & Bourgeois, Cyril & Giraudet, Louis-Gaëtan & Quirion, Philippe, 2019. "Prediction is difficult, even when it's about the past: A hindcast experiment using Res-IRF, an integrated energy-economy model," Energy Economics, Elsevier, vol. 84(S1).
    10. F. Souty & T. Brunelle & P. Dumas & B. Dorin, & P. Ciais & R. Crassous, 2012. "The Nexus Land-Use Model, an Approach Articulating Biophysical Potentials and Economic Dynamics to Model Competition for Land-Uses," Working Papers 2012.16, Fondazione Eni Enrico Mattei.

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