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The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages

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  • Gohin, A.
  • Chantret, F.

Abstract

The world prices of some food and energy products have followed similar large swings in recent years. We investigate the long-run relationship between these prices using a world Computable General Equilibrium model with detailed representations of food and energy markets. Particular attention is paid to specifying macro-economic linkages which have often been overlooked in recent analysis and debate. We find that the omission of these macro-economic linkages has a substantial bearing on this relationship. A positive relationship due to the cost push effect has been identified in most analysis, but we find that the introduction of the real income effect may indeed imply a negative relationship between world food and energy prices.

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  • Gohin, A. & Chantret, F., 2010. "The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages," Energy Policy, Elsevier, vol. 38(1), pages 333-339, January.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:1:p:333-339
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    References listed on IDEAS

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    1. Alexandre Gohin, 2005. "The specification of price and income elasticities in computable general equilibrium models : an application of latent separability," Post-Print hal-01931546, HAL.
    2. Abbott, Philip C. & Hurt, Christopher & Tyner, Wallace E., 2008. "What's Driving Food Prices?," Issue Reports 37951, Farm Foundation.
    3. Simla Tokgoz & Amani Elobeid & Jacinto Fabiosa & Dermot J. Hayes & Bruce A. Babcock & Tun-Hsiang (Edward) Yu & Fengxia Dong & Chad E. Hart, 2008. "Bottlenecks, Drought, and Oil Price Spikes: Impact on U.S. Ethanol and Agricultural Sectors," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(4), pages 604-622.
    4. Hanson, Kenneth & Robinson, Sherman & Schluter, Gerald E., 1993. "Sectoral Effects Of A World Oil Price Shock: Economywide Linkages To The Agricultural Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-21, July.
    5. Gohin, Alexandre, 2005. "The specification of price and income elasticities in computable general equilibrium models: An application of latent separability," Economic Modelling, Elsevier, vol. 22(5), pages 905-925, September.
    6. David P. Vincent & Peter B. Dixon & B.R. Parmenter & D.C. Sams, 1979. "The Short‐Term Effect Of Domestic Oil Price Increases On The Australian Economy With Special Reference To The Agricultural Sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 23(2), pages 79-101, August.
    7. Keeny, Roman & Hertel, Thomas, 2005. "GTAP-AGR: A Framework for Assessing the Implications of Multilateral Changes in Agricultural Policies," Technical Papers 283422, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Alain Bernard & Marc Vielle, 2008. "GEMINI-E3, a general equilibrium model of international–national interactions between economy, energy and the environment," Computational Management Science, Springer, vol. 5(3), pages 173-206, May.
    9. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    10. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    12. Stathis Klonaris & David Hallam, 2003. "Conditional and unconditional food demand elasticities in a dynamic multistage demand system," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 503-514.
    13. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    14. Beckman, Jayson & Hertel, Thomas, 2009. "Why Previous Estimates of the Cost of Climate Mitigation are Likely Too Low," GTAP Working Papers 2954, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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