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Estimating the Productivity of Wheat Production: An Implication of Stochastic Frontier Production Function Model

Author

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  • Mehrjerdi, Mahla Zare
  • Mark, Tyler

Abstract

Production resources are limited, world’s population is growing. One way to increase the production is to increase the area under cultivation, but this solution is not possible in all situations. Besides, increasing the cultivation area does not guarantee an increase in production. Another way is to increase the production is using more advanced machinery and production techniques. Wheat is the most strategic agricultural product in Iran. It forms the significant portion of Iranian diet. Policymakers have always been interested in new methods that can make the country independent of importing wheat. T reach this goal, it is essential to evaluate the productivity of wheat production. Using data from surveys done by Agriculture ministry of Iran, this study estimates the productivity of wheat production using a Cobb-Douglas production function in Tehran. The proposed method to estimate the productivity is Stochastic Frontier Production Function Model. The result suggests Farm size shows the highest marginal rate of productivity.

Suggested Citation

  • Mehrjerdi, Mahla Zare & Mark, Tyler, 2018. "Estimating the Productivity of Wheat Production: An Implication of Stochastic Frontier Production Function Model," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266774, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea18:266774
    DOI: 10.22004/ag.econ.266774
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    Cited by:

    1. Feiyan Han & Daming Wang & Bo Li, 2019. "Spillover Effects of Ports and Logistics Development on Economic Power: Evidence from the Chinese BTH Regions," Sustainability, MDPI, vol. 11(16), pages 1-17, August.

    More about this item

    Keywords

    Agricultural and Food Policy; Production Economics; Productivity Analysis;
    All these keywords.

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