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Developing strategies for chicken meat producers against market prices risks in Turkey (Game Theory approach)

Ahmet Şahin (Department of Agricultural Economics, Faculty of Agriculture, Yüzüncü Yıl University, Kahramanmaraş, Turkey)
İbrahim Yıldırım (Department of Agricultural Economics, Faculty of Agriculture, Yüzüncü Yıl University, Kahramanmaraş, Turkey)
Bülent Miran (Department of Agricultural Economics, Faculty of Agriculture, Ege University, Izmir, Turkey)

British Food Journal

ISSN: 0007-070X

Article publication date: 5 September 2009

1161

Abstract

Purpose

The major aim of study was to determine the chicken meat producer's optimal selling times.

Design/methodology/approach

The method used for this purpose was Wald, Benefit and Regret criterions of Game Theory. The transformed Wald, Benefit and Regret linear programming models were solved to find the optimal solution. The data consisted of monthly chicken meat prices received by producers between 2000‐2007, which were obtained from the Poultry Meat Producers and Breeders Association.

Findings

The optimal solutions of Wald and Benefit criteria showed that June was the best selling month for chicken meat producers in Turkey. August was found to be the optimal selling month according to the Minimum regret criterion. In light of the Maximum criterion it was concluded that the producers would be at highest regret positions with 98.28 percent in event of selling in November.

Originality/value

The results found in this study could be an indicator for individual chicken producers for a more competitive bargaining power when they make a contract with chicken meat production and marketing firms.

Keywords

Citation

Şahin, A., Yıldırım, İ. and Miran, B. (2009), "Developing strategies for chicken meat producers against market prices risks in Turkey (Game Theory approach)", British Food Journal, Vol. 111 No. 9, pp. 975-987. https://doi.org/10.1108/00070700910992871

Publisher

:

Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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