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Analysis of long-term challenges for agricultural markets

Author

Listed:
  • John T. Saunders

    (Lincoln University)

  • Marcel Adenäuer

    (OECD)

  • Jonathan Brooks

    (OECD)

Abstract

The Long-term Agricultural Outlook model (LAO) is a long-run partial equilibrium trade model developed by the OECD as a complementary modelling tool to AGLINK-COSIMO, a more detailed partial equilibrium model used to develop ten-year projections for agricultural markets, as reported in the annual OECD-FAO Agriculture Outlook publication. LAO describes the drivers of structural changes in global supply and demand, provides a baseline of real agricultural prices, and can be used to situate short and medium term price projections in a longer-term context. The model is also suitable for performing scenario analysis of long-term issues concerning agriculture, such as the links between food security and climate change. The model structure is similar to that of AGLINK-COSIMO, which enhances comparability, but much simpler, with highly aggregated commodity and regional groupings. The simplified structure makes it possible to make use of data on productivity growth in a way not possible in more complex models, and to investigate the role of long term drivers of productivity growth, in particular research spending. It also facilitates a focus on key macro-economic drivers of agricultural market developments. This report details the motivation, structure, and development of the model, alongside initial outputs. The baseline results indicate a lowering of real agricultural prices in the long run, as growth in global supply outpaces growth in global demand.

Suggested Citation

  • John T. Saunders & Marcel Adenäuer & Jonathan Brooks, 2019. "Analysis of long-term challenges for agricultural markets," OECD Food, Agriculture and Fisheries Papers 131, OECD Publishing.
  • Handle: RePEc:oec:agraaa:131-en
    DOI: 10.1787/dafae86c-en
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    References listed on IDEAS

    as
    1. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    2. Martin Lampe & Dirk Willenbockel & Helal Ahammad & Elodie Blanc & Yongxia Cai & Katherine Calvin & Shinichiro Fujimori & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe & Page Kyle & Hermann Lotze-Campe, 2014. "Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 3-20, January.
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    Cited by:

    1. Vlada Vitunskienė & Akvilė Aleksandravičienė & Neringa Ramanauskė, 2022. "Spatio-Temporal Assessment of Biomass Self-Sufficiency in the European Union," Sustainability, MDPI, vol. 14(3), pages 1-19, February.

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    More about this item

    Keywords

    agricultural prices; agricultural productivity; climate change; food security; long-run analysis; partial equilibrium; total factor productivity; trade modelling;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • F1 - International Economics - - Trade

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