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Modeling and Extrapolating Wheat Producer Support Using Income and Other Factors

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  • Jing Zhao
  • J. Isaac Miller
  • Wyatt Thompson

Abstract

Using wheat market support data from 55 countries for 1961–2011 from the World Bank Agricultural Distortion database, we develop a fixed effect model that shows a more complicated, nonlinear relationship between income and wheat support and its components than previously realised. We find that income generally has a greater effect on border market price support than on domestic price support. Moreover, the difference between these types of support is greater for net importers than for net exporters and has increased with the URAA or WTO accession. Holding other variables constant, the wheat support level of China, driven mainly by border market price support, is projected to rise with future income growth. Meanwhile, Japan is projected to maintain its high level of support, while the US and EU are projected to maintain their lower levels of support. These results are relevant in the context of multilateral trade negotiations, arguing against a narrow focus on past or current policy profiles and for long†run analyses that might mistakenly rest on the inconsistent assumptions of constant agricultural policies against the backdrop of rising incomes.

Suggested Citation

  • Jing Zhao & J. Isaac Miller & Wyatt Thompson, 2018. "Modeling and Extrapolating Wheat Producer Support Using Income and Other Factors," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 338-350, June.
  • Handle: RePEc:bla:jageco:v:69:y:2018:i:2:p:338-350
    DOI: 10.1111/1477-9552.12250
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    Cited by:

    1. Zhao, Jing & Miller, J. Isaac & Binfield, Julian & Thompson, Wyatt, 2022. "Modeling and Forecasting Agricultural Commodity Support in the Developing Countries," Commissioned Papers 321785, International Agricultural Trade Research Consortium.

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