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The effect of climate and technological uncertainty in crop yields on the optimal path of global land use

Author

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  • Cai, Yongyang
  • Steinbuks, Jevgenijs
  • Elliott, Joshua
  • Hertel, Thomas W.

Abstract

The pattern of global land use has important implications for the world's food and timber supplies, bioenergy, biodiversity and other eco-system services. However, the productivity of this resource is critically dependent on the world's climate, as well as investments in, and dissemination of improved technology. This creates massive uncertainty about future land use requirements which compound the challenge faced by individual investors and governments seeking to make long term, sometimes irreversible investments in land conversion and land use. This study assesses how uncertainties associated with underlying biophysical processes and technological change in agriculture affect the optimal profile of land use over the next century, taking into account the potential irreversibility in these decisions. A novel dynamic stochastic model of global land use is developed, in which the societal objective function being maximized places value on food production, liquid fuels (including bio-fuels), timber production, and biodiversity. While the uncertainty in food crop yields has anticipated impact, the resulting expansion of crop lands and decline in forest lands is relatively small.

Suggested Citation

  • Cai, Yongyang & Steinbuks, Jevgenijs & Elliott, Joshua & Hertel, Thomas W., 2014. "The effect of climate and technological uncertainty in crop yields on the optimal path of global land use," Policy Research Working Paper Series 7009, The World Bank.
  • Handle: RePEc:wbk:wbrwps:7009
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    References listed on IDEAS

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    Cited by:

    1. Bruno Lanz & Simon Dietz & Tim Swanson, 2018. "Global Economic Growth and Agricultural Land Conversion under Uncertain Productivity Improvements in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 545-569.
    2. Brock, W. A. & Xepapadeas, A., 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," Climate Change and Sustainable Development 206837, Fondazione Eni Enrico Mattei (FEEM).
    3. Bruno Lanz & Simon Dietz & Tim Swanson, 2016. "Economic growth and agricultural land conversion under uncertain productivity improvements in agriculture," FOODSECURE Working papers 53, LEI Wageningen UR.
    4. Yongyang Cai & Kenneth Judd & Jevgenijs Steinbuks, 2017. "A nonlinear certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, vol. 8(1), pages 117-147, March.
    5. Simon Dietz & Bruno Lanz, 2019. "Growth and Adaptation to Climate Change in the Long Run," CESifo Working Paper Series 7986, CESifo.
    6. Golub, Alla & Cai, Yongyang & Hertel, Thomas & Steinbuks, Jevgenijs, 2015. "Energy Price Uncertainty and Global Land Use," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205406, Agricultural and Applied Economics Association.
    7. Steinbuks, Jevgenijs & Satija, Gaurav & Zhao, Fu, 2015. "Sustainability of solar electricity : the role of endogenous resource substitution and market mediated responses," Policy Research Working Paper Series 7178, The World Bank.
    8. Steinbuks, Jevgenijs & Satija, Gaurav & Zhao, Fu, 2017. "Sustainability of solar electricity: The role of endogenous resource substitution and cross-sectoral responses," Resource and Energy Economics, Elsevier, vol. 49(C), pages 218-232.

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    Keywords

    Climate Change Mitigation and Green House Gases; Environmental Economics&Policies; Climate Change and Environment; Forestry; Environment and Energy Efficiency;
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