IDEAS home Printed from
   My bibliography  Save this paper

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


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


*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

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Delgado, Christopher L. & Rosegrant, Mark W. & Steinfeld, Henning & Ehui, Simeon K. & Courbois, Claude, 1999. "Livestock to 2020: the next food revolution," 2020 vision briefs 61, International Food Policy Research Institute (IFPRI).
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980-2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    4. Anderson, Kym & Dimaranan, Betina V. & Hertel, Thomas W. & Martin, William J., 1997. "Asia-Pacific food markets and trade in 2005: a global, economy-wide perspective," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 41(1), March.
    5. Rae, Allan N. & Hertel, Thomas W., 2000. "Future developments in global livestock and grains markets: the impacts of livestock productivity convergence in Asia-Pacific," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(3), September.
    6. Anthony Rezitis, 2005. "Agricultural productivity convergence across Europe and the United States of America," Applied Economics Letters, Taylor & Francis Journals, vol. 12(7), pages 443-446.
    7. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    8. Nin, Alejandro & Hertel, Thomas W. & Foster, Kenneth & Rae, Allan, 2004. "Productivity growth, catching-up and uncertainty in China's meat trade," Agricultural Economics, Blackwell, vol. 31(1), pages 1-16, July.
    9. Cornwell, Christopher Mark & Wächter, Jens-Uwe, 1999. "Productivity convergence and economic growth: A frontier production function approach," ZEI Working Papers B 06-1999, University of Bonn, ZEI - Center for European Integration Studies.
    10. Channing Arndt & Thomas W. Hertel & Paul V. Preckel, 2003. "Bridging the Gap between Partial and Total Factor Productivity Measures Using Directional Distance Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 928-942.
    Full references (including those not matched with items on IDEAS)


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

    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. 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.
    7. 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.
    8. 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:


    Access and download statistics


    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: .

    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.