IDEAS home Printed from https://ideas.repec.org/p/gta/workpp/2611.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=2611
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kretschmer, Bettina & Peterson, Sonja, 2010. "Integrating bioenergy into computable general equilibrium models -- A survey," Energy Economics, Elsevier, vol. 32(3), pages 673-686, May.
    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. 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.
    4. Roberto Roson & Ruslana Rachel Palatnik, 2009. "Climate Change Assessment and Agriculture in General Equilibrium Models: Alternative Modeling Strategies," Working Papers 2009_08, Department of Economics, University of Venice "Ca' Foscari".
    5. 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.
    6. repec:kap:enreec:v:69:y:2018:i:4:d:10.1007_s10640-016-0105-4 is not listed on IDEAS
    7. 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.
    8. Melania Michetti & Matteo Zampieri, 2014. "Climate–Human–Land Interactions: A Review of Major Modelling Approaches," Land, MDPI, Open Access Journal, vol. 3(3), pages 1-41, July.
    9. 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.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gta:workpp:2611. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jeremy Douglas). General contact details of provider: http://edirc.repec.org/data/gtpurus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.