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Projecting the World Economy to 2050: Agriculture in the Economy-wide GTAP Model

Author

Listed:
  • Ernesto Valenzuela

    (Centre for International Economic Studies, School of Economics, University of Adelaide)

  • Kym Anderson

    (Centre for International Economic Studies, School of Economics, University of Adelaide)

Abstract

Recent analyses of the possible adverse effects of climate change and policy responses on agriculture and mining have raised food and energy security concerns in both rich and poorer countries. Analysing possible effects of ways of dealing with those concerns requires first projecting the world economy forward to 2050 and beyond. This paper provides as background a set of projections to 2050, drawing on the global economy-wide model known as GTAP. The projection is calibrated to ensure the real prices of primary products remain broadly unchanged from their levels in the model's base year of 2004. Alternative scenarios could have been calibrated to show (a) rising real prices for both food and energy raw materials (consistent with forecasts of several international agencies), by assuming some slowdown in productivity growth in primary sectors, or (b) declining real prices for agricultural and mining products (consistent with the experience of most of the 20th century), by assuming somewhat faster productivity growth in primary sectors. The set of projections shown for 2030 and 2050 is thus an intermediate set. The key impacts on international prices, agricultural self-sufficiency, sectoral shares of national economies and national shares of the global economy are highlighted. The paper concludes with implications for R&D spending and research policy.

Suggested Citation

  • Ernesto Valenzuela & Kym Anderson, 2011. "Projecting the World Economy to 2050: Agriculture in the Economy-wide GTAP Model," Centre for International Economic Studies Working Papers 2011-01, University of Adelaide, Centre for International Economic Studies.
  • Handle: RePEc:adl:cieswp:2011-01
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    File URL: http://www.adelaide.edu.au/cies/publications/present/CIES_DP1101.pdf
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    References listed on IDEAS

    as
    1. Kym Anderson, 2009. "Distorted Agricultural Incentives and Economic Development: Asia's Experience," The World Economy, Wiley Blackwell, vol. 32(3), pages 351-384, March.
    2. Beddow, Jason M. & Pardey, Philip G. & Alston, Julian M., 2009. "The Shifting Global Patterns of Agricultural Productivity," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 24(4), pages 1-10.
    3. Hertel, Thomas & Hummels, David & Ivanic, Maros & Keeney, Roman, 2007. "How confident can we be of CGE-based assessments of Free Trade Agreements?," Economic Modelling, Elsevier, vol. 24(4), pages 611-635, July.
    4. Frankel, Jeffrey, 2008. "Global Environmental Policy and Global Trade Policy," Working Paper Series rwp08-058, Harvard University, John F. Kennedy School of Government.
    5. Anderson, Kym & Kurzweil, Marianne & Martin, Will & Sandri, Damiano & Valenzuela, Ernesto, 2008. "Measuring distortions to agricultural incentives, revisited," World Trade Review, Cambridge University Press, vol. 7(4), pages 675-704, October.
    6. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    7. Martin, Will & Mitra, Devashish, 2001. "Productivity Growth and Convergence in Agriculture versus Manufacturing," Economic Development and Cultural Change, University of Chicago Press, vol. 49(2), pages 403-422, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Don Gunasekera & Ernesto Valenzuela, 2020. "Adoption of Blockchain Technology in the Australian Grains Trade: An Assessment of Potential Economic Effects," Economic Papers, The Economic Society of Australia, vol. 39(2), pages 152-161, June.

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    More about this item

    Keywords

    Global computable general equilibrium model projections; crop and labour productivity growth;

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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