Planning of Greenhouse Vegetable Enterprises through Game Theory Approach in Mersin Province

Year 2018, Volume: 4 Issue: 2, 57 - 63, 29.05.2018

Osman Uysal , Ufuk Gültekin

https://doi.org/10.26558/ijcst.428181

Abstract

The aim of this study was to plan the enterprises which apply greenhouse vegetable farming in Mersin province by Game Theory (GT) approach. The main material of this study consisted of survey data obtained from 163 greenhouse vegetable producers in Mersin Province and the data included 2013-2014 production periods. The average land size was determined as 14.47 da. According to results, 22.70% and 77.30% of the producers were determined as risk takers and risk averse, respectively. As a result of the production plans which were applied according to Game Theory approach, the production pattern changed according to the current state. Also, gross profit increased in the ratios of 15.55% and 8.46% for the producers who take and avoid risks, respectively.

Keywords

Mersin Province, risk, farm planning, Game Theory, greenhouse vegetable production

References

• Adeoye, IB.., Yusuf, SA., Balogun, OS. and Alabuja, F. 2012. Application of game theory to horticultural crops in South-West Nigeria. ARPN J. of Agric. and Biol. Sci., 7(5):372-375.Basaran Uysal, A. and Bölen, F. 2006. Planning in a Watershed and Game Theory. İTÜ Dergisi/a, Mimarlık, Planlama, Tasarım, 5-2 (2), 187-196. (in Turkish)
• Becker, T. and Thiele, H. 1994. The Transformation of the Agricultural Sector. The Experience of East Germany, Annual Meeting of the American Agricultural Economics Association (AAEA), 7-10. San Diego, California
• Ceyhan, V., Cinemre, H. A. and Demiryürek, K. 1997. Determination of Risk Behaviors in Terme District in Samsun Province. Ondokuz Mayıs University, Faculty of Agriculture Research Series No: 3, 45 p., Samsun. (in Turkish)
• Ceyhan, V. 2003. Risk Analysis in Agricultural Enterprises. Çorum Province Kızılırmak Basin Sample. Ondokuz Mayıs University, Faculty of Agriculture Research Series No: 6, Samsun. (in Turkish)
• Çetin, İ. and Esengün, K. 2012. Socio-economic analysis of dry onion growing farms according to risk attitude in Amasya province. Gaziosmanpaşa University Journal of Agricultural Faculty, 2012, 29 (1), 81-92. (in Turkish)
• Çiçek, A. and Erkan, O. (1996). Research and Sampling Methods in Agricultural Economics. Gaziosmanpaşa University, Agricultural Faculty Publications, No 12, Lecture Notes Series 6, Tokat. (in Turkish)
• Dae-Seob, L. and Lynn, K. 2006. A political economic analysis of U.S. Rice Export Programs to Japan and South Korea: A Game-Theoretic Approach. American Journal of Agricultural Economics, 88(8):420-431.
• Ghosh, D., Sharma, D.K. and Mattison, D.M. 2005. Goal Programming Formulation in Nutrient Management for Rice Production in West Bengal. International Journal of Production Economics, 95 (1), 1–7.
• Goswami, K. and Choudhury, H. K. 2014. To Cultivate or Not? Examining Factors that Influence Jatropha Agriculture in North East India. SANDEE working papers, 82-14. Kathmandu: SANDEE.
• Günden, C. 2005. A Study on Developing Flexible and Applicable Individual Production Plans for Region and Farm Size Level by Farmers via Fuzzy Goal Programming, The Case of Torbali, İzmir. (Unpublished doctoral dissertation). Ege University School of Natural and Applied Sciences, Department of Agricultural Economics, İzmir. (in Turkish)
• Gündüz, O. and Esengün, K. (2007). Socio-economic analysis of tomatoes farms according to risk attitude in the Central District of Tokat Province. Gaziosmanpaşa University Journal of Agricultural Faculty, 24(1), 51-62.
• Gündüz, O. 2007. The Risks of Tomatoes Farms and Farm Planning Under Risk in Central District of Tokat Province. (Unpublished doctoral dissertation). Gaziosmanpaşa University, Graduate School of Natural and Applied Sciences, Tokat. (in Turkish)
• Güneş, T. and Arıkan, R. (1988). Agricultural Economics Statistics. Ankara University, Agricultural Faculty Publications: 1049, Textbook: 305, Ankara. (in Turkish)
• Herath, G. (2006). Game Theory Applications in Natural Resource Management: Review of Evidence, Problems and Potential. Meeting on Game Theory and Practice Dedicated to Development. 10-12 July, Natural Resources and the Environment, Instituto Agronomico Mediterraneo de Zaragoza, Spain.
• Holsteiner, T. 2003. Ökonomisch Analyse zur Gestaltung von Naturschutzvertragen. Agrarpolirisches Seminar WS 2002/2003, Lehrstuhl Agrarpolitik, Institut für Agrarökonomie Christian Albrechtsuniversitat, Kiel.
• Karahan, Ö. 2002. A Research on the Attitudes of Farmers towards Risks: Case of Aegean Region Farmers. (Unpublished doctoral dissertation). Ege University School of Natural and Applied Sciences, Department of Agricultural Economics, İzmir. (in Turkish)
• Kuriyama, K., Hanemann W.M. and Hilger J.R. 2010. A Latent Segmentation Approach to a Kuhn-Tucker Model: An Application to Recreation Demand. Journal of Environmental Economics and Management, 60 (3): 209-220.
• Langham, M.R. 1963. Game Theory Applied to a Policy Problem of Rice Farmers. American Journal of Agricultural Economics, 1963, vol. 45, issue 1, 151-162.
• Lee, D.S. and Kennedy, P.L. 2007. A Political Economic Analysis of U.S. Rice Export Programs to Japan and South Korea: A Game Theoretic Approach. American Journal of Agricultural Economics, 89 (1): 104–115.
• Miran, B. (1990). Advanced Methods to be used in the Planning of Agricultural Enterprises and Possibilities of use at Operation Level. Ege University Journal of Agricultural Faculty, 27(2): 228-244, İzmir. (in Turkish)
• Miran, B. and Dizdaroğlu, T. 1994. Risk in Agricultural Farm Planning: An Approach to Game Theory, (in Turkish). The First Agricultural Economics Congress of Turkey, 8-9 September 1996, İzmir. (in Turkish)
• Miran, B. 1995. Minimum price risky selling times for same selected storable crops in Ege Region. (in Turkish), Ege University Journal of Agricultural Faculty, 32(3):127-134. (in Turkish)
• Müller, B. 1999. Price competition among dairies: a theoretical approach based on game theory. Kieler Milchwirtschaftliche Forschungsberichte, 51(2):165-190.
• Özer, O.O. and Özçelik, A. 2010. Determination of the Best Marketing Time for Cotton by Game Theory. Journal of Agricultural Sciences, 16 (4):225-294. (in Turkish)
• Özkan, B. and Vuruş Akçaöz, H. 2002. Game theory and its application to field crops in Antalya Province. Turk J. Agric., 26:303-309.
• Raquel, S., Ferenc, S. and Emery, C.Jr., Abraham, R. 2007. Application of game theory for a groundwater conflict in Mexico. Journal of Environmental Management, 84(4):560-571.Satti, M. 1998. International Trade in Dairy Products: Analysis Using Game Theory. Rivista di Politica Agraria, Rassegna Della Agricoltura, 16 (3):15-28.
• Şahin, A. 2008. Farm Planning in Risk Conditions: Game Theory Approach. (Unpublished doctoral dissertation). Ege University School of Natural and Applied Sciences, Department of Agricultural Economics, İzmir. (in Turkish)
• Taalimoghaddam, A. and Karbasi, A. 2012. Application of game theory to field crops in Khorasan-Razavi Province. Annals of