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Using continental grids to improve our understanding of global land supply responses: Implications for policy-driven land use changes in the Americas

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  • Villoria, Nelson
  • Jing Liu

Abstract

Global economic models with explicit treatment of global land markets are crucial to understanding the consequences of different policy choices on global food and environmental security. However, these models rely on parameters for which there is little econometric evidence. A fundamental parameter in these models is the land supply elasticity. We provide a novel set of land supply elasticities estimated using gridded data for the American continent, and we use them in exploring previous work on the indirect land-use effects of US ethanol policy. Our estimates provide a basis for better-informed simulations of global land-use transitions under different economic and policy scenarios.

Suggested Citation

  • Villoria, Nelson & Jing Liu, 2015. "Using continental grids to improve our understanding of global land supply responses: Implications for policy-driven land use changes in the Americas," GTAP Working Papers 4843, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    • Handle: RePEc:gta:workpp:4843
    Note: GTAP Working Paper No. 81
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    File URL: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=4843
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    Cited by:

    1. Chakravarty, Shourish & Villoria, Nelson B., 2020. "Estimating the spatially heterogeneous elasticities of land supply to U.S. crop agriculture," Conference papers 333156, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Moreira-Dantas, Ianna Raissa & Söder, Mareike, 2022. "Global deforestation revisited: The role of weak institutions," Land Use Policy, Elsevier, vol. 122(C).
    3. Baldos, Uris Lantz, 2017. "Food and environmental security in 2050: An application of gridded agricultural economic modelling," Conference papers 330176, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. Song, Jingyu & Delgado, Michael & Preckel, Paul & Villoria, Nelson, 2016. "Pixel Level Cropland Allocation and Marginal Impacts of Biophysical Factors," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235327, Agricultural and Applied Economics Association.

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