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Modeling the Competition for Land: Methods and Application to Climate Policy

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  • Sands, Ronald
  • Kim, Man-Keun

Abstract

*Chapter 7 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. The Agriculture and Land Use (AgLU) model was developed at Pacific Northwest National Laboratory to assess the impact of a changed climate or a climate policy on land use, carbon emissions from land use change, production of field crops, and production of biofuels. The level of analysis to date is relatively aggregate, at the global or national scale, but the model captures important interactions such as endogenous land use change in response to a climate policy and international trade in agricultural and forest products. This paper describes exploratory efforts to extend the conceptual framework, including geographical disaggregation of land within the United States, improving the dynamics of the forestry sector, valuing carbon in forests, and land requirements for biofuel crops. Conceptual development is done within a single-country, steady-state version of AgLU. Land use is simulated with carbon prices from zero to $200 per t-C, with forests, biofuels, and food crops competing simultaneously for land.

Suggested Citation

  • Sands, Ronald & Kim, Man-Keun, 2008. "Modeling the Competition for Land: Methods and Application to Climate Policy," GTAP Working Papers 2606, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  • Handle: RePEc:gta:workpp:2606 Note: GTAP Working Paper No. 45
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    File URL: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=2606
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    References listed on IDEAS

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    Cited by:

    1. Kim, C.S. & Lewandrowski, Jan & Sands, Ronald D. & Johansson, Robert C., 2011. "Permanence of Carbon Sequestered in Forests under Uncertainty," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103565, Agricultural and Applied Economics Association.
    2. Tian, Xiaohui & Sohngen, Brent & Sands, Ronald, 2013. "Modeling a Dynamic Forest Sector in a General Equilibrium Framework," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149990, Agricultural and Applied Economics Association.
    3. 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.
    4. Michetti, Melania & Parrado, Ramiro, 2012. "Improving land-use modelling within CGE to assess forest-based mitigation potential and costs," Congress Papers 124380, Italian Association of Agricultural and Applied Economics (AIEAA).
    5. 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.
    6. Diermeier, Matthias & Schmidt, Torsten, 2014. "Oil price effects on land use competition: an empirical analysis," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(1), January.

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