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Projecting World Food Demand Using Alternative Demand Systems

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  • Yu, Wusheng
  • Hertel, Thomas
  • Preckel, Paul
  • Eales, James

Abstract

Computable General Equilibrium (CGE) models are increasingly being used to project world food markets in order to support forward-looking policy analysis. Such projections hinge critically on the underlying functional form for representing consumer demand. Simple functional forms can lead to unrealistic projections by failing to capture changes in income elasticities of demand. We adopt as our benchmark the recently introduced AIDADS demand system and compare it with several alternative demand systems currently in widespread use in CGE models. This comparison is conducted in the context of projections for disaggregated global food demand using a global CGE model. We find that AIDADS represents a substantial improvement, particularly for the rapidly growing developing countries. For these economies, the most widely used demand systems tend to over-predict future food demands, and hence overestimate future production and import requirements for agricultural products.

Suggested Citation

  • Yu, Wusheng & Hertel, Thomas & Preckel, Paul & Eales, James, 2003. "Projecting World Food Demand Using Alternative Demand Systems," GTAP Working Papers 1182, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    • Handle: RePEc:gta:workpp:1182
    Note: GTAP Working Paper No. 21
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    1. John A.L. Cranfield & Thomas W. Hertel & James S. Eales & Paul V. Preckel, 1998. "Changes in the Structure of Global Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1042-1050.
    2. Delgado, Christopher L. & Rosegrant, Mark W. & Steinfeld, Henning & Ehui, Simeon K. & Courbois, Claude, 1999. "Livestock to 2020: the next food revolution," 2020 vision briefs 61, International Food Policy Research Institute (IFPRI).
    3. Christian Friis Bach & Betina Dimaranan & Thomas W. Hertel & Will Martin, 2000. "Market Growth, Structural Change, and the Gains from the Uruguay Round," Review of International Economics, Wiley Blackwell, vol. 8(2), pages 295-310, May.
    4. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    5. Anderson, Kym & Dimaranan, Betina V. & Hertel, Thomas W. & Martin, William J., 1997. "Asia-Pacific food markets and trade in 2005: a global, economy-wide perspective," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 41(1), pages 1-26.
    6. Clements, Kenneth W & Selvanathan, Saroja, 1994. "Understanding Consumption Patterns," Empirical Economics, Springer, vol. 19(1), pages 69-110.
    7. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    8. J. A. L. Cranfield & James S. Eales & Thomas W. Hertel & Paul V. Preckel, 2003. "Model selection when estimating and predicting consumer demands using international, cross section data," Empirical Economics, Springer, vol. 28(2), pages 353-364, April.
    9. 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.
    10. Mitchell,Donald O. & Ingco,Merlinda D. & Duncan,Ronald C., 1997. "The World Food Outlook," Cambridge Books, Cambridge University Press, number 9780521589840, January.
    11. Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
    12. John A.L. Cranfield & Thomas W. Hertel & James S. Eales & Paul V. Preckel, 1998. "Changes in the Structure of Global Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1042-1050.
    13. Hertel, Thomas W. & Peterson, Everett B. & Surry, Yves & Preckel, Paul V. & Tsigas, Marinos E., 1990. "Implicit Additivity as a Strategy for Restricting The Parameter Space in CGE Models," 1990 Annual meeting, August 5-8, Vancouver, Canada 270868, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Thomas W. Hertel & Zhi Wang & Wusheng Yu, 1998. "Understanding the Determinants of Structural Change in World Food Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1051-1061.
    15. Jean-Marc Burniaux & François Delorme & Ian Lienert & John P. Martin & Peter Hoeller, 1988. "Quantifying the Economy-Wide Effects of Agricultural Policies: A General Equilibrium Approach," OECD Economics Department Working Papers 55, OECD Publishing.
    16. Nin, Alejandro & Hertel, Thomas W. & Foster, Kenneth & Rae, Allan, 2004. "Productivity growth, catching-up and uncertainty in China's meat trade," Agricultural Economics, Blackwell, vol. 31(1), pages 1-16, July.
    17. Theil, Henri, 1983. "World Product and Income: A Review Article," Journal of Political Economy, University of Chicago Press, vol. 91(3), pages 505-517, June.
    18. Thomas W. Hertel & Zhi Wang & Wusheng Yu, 1998. "Understanding the Determinants of Structural Change in World Food Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1051-1061.
    19. John Cranfield & Paul Preckel & James Eales & Thomas Hertel, 2000. "On the estimation of 'an implicitly additive demand system'," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1907-1915.
    20. Jean-Marc Burniaux & Dominique van der Mensbrugghe, 1991. "Trade Policies in a Global Context: Technical Specifications of the Rural/Urban-North/South (RUNS) Applied General Equilibrium Model," OECD Development Centre Working Papers 48, OECD Publishing.
    21. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
    22. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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