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Optimal Path for Global Land Use under Climate Change Uncertainty

Author

Listed:
  • Steinbuks, J.
  • Cai, Y.
  • Elliott, J.W.
  • Hertel, Thomas W.
  • Judd, K.L.

Abstract

This study seeks assess how the uncertainties associated with the un- derlying biophysical processes in uence the optimal profile of land use over the next century, in light of potential irreversibility in these deci- sions. Our analysis is based on a dynamic stochastic model of global land use, and employs 3 modeling scenarios constructed using global crop simulation and climate models. The results of the deterministic model show that climate impacts appear to have mixed effects on yields - higher temperatures hurt food production but this effect is partially offset by greater CO2 fertilization effect. Declining food crop yields result in rela- tively small expansion of cropland and accumulated GHG emissions from land use change. We then contrast this optimal path to that obtained when the uncertainty is not ignored, thereby demonstrating significance of factoring uncertainty in the optimization stage.

Suggested Citation

  • Steinbuks, J. & Cai, Y. & Elliott, J.W. & Hertel, Thomas W. & Judd, K.L., 2013. "Optimal Path for Global Land Use under Climate Change Uncertainty," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151413, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea13:151413
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    File URL: http://purl.umn.edu/151413
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    References listed on IDEAS

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    1. Davis, Christopher G. & Blayney, Donald & Dong, Diansheng & Yen, Steven T. & Johnson, Rachel J., 2011. "Will Changing Demographics Affect U.S. Cheese Demand?," Journal of Agricultural and Applied Economics, Cambridge University Press, pages 259-273.
    2. Giuseppe Bruno, 2004. "Limited dependent panel data models: a comparative analysis of classical and Bayesian inference among econometric packages," Computing in Economics and Finance 2004 41, Society for Computational Economics.
    3. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    4. Brian W. Gould & Jorge Cornick & Thomas Cox, 1994. "Consumer Demand for New Reduced-fat Foods: An Analysis of Cheese Expenditures," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 42(3), pages 367-380, November.
    5. Donghun Kim & Ronald W. Cotterill, 2008. "COST PASS-THROUGH IN DIFFERENTIATED PRODUCT MARKETS: THE CASE OF U.S. PROCESSED CHEESE -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 56(1), pages 32-48, March.
    6. Brian W. Gould & Huei Chin Lin, 1994. "The demand for cheese in the United States: The role of household composition," Agribusiness, John Wiley & Sons, Ltd., vol. 10(1), pages 43-59.
    7. Schmit, Todd M. & Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M. & Gould, Brian W., 2002. "Identifying The Effects Of Generic Advertising On The Household Demand For Fluid Milk And Cheese: A Two-Step Panel Data Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(01), July.
    8. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    9. Carlos Arnade & Munisamy Gopinath & Daniel Pick, 2008. "Brand Inertia in U.S. Household Cheese Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 813-826.
    10. Min-Hsin Huang & Eugene Jones & David Hahn, 2007. "Determinants of price elasticities for private labels and national brands of cheese," Applied Economics, Taylor & Francis Journals, vol. 39(5), pages 553-563.
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    More about this item

    Keywords

    climate change; crop yields; dynamic stochastic models; global land use; uncertainty; Crop Production/Industries; Land Economics/Use; Research Methods/ Statistical Methods; C61; Q15; Q23; Q26; Q40; Q54;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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