Estimating the Demand for Fish on the basis of Lexicographic preferences: A Case Study of Mazandaran Province

Document Type : Research Paper

Authors

1 PhD. Student, Agricultural Economics, University of Tabriz

2 Assistant Professor, Agricultural Economic , University of Tehran

3 Associate Professor, Agricultural Economic , University of Tabriz

Abstract

Fish is considered as a complete food source in terms of having high-quality protein and fat and also, abundance of minerals and vitamins in it .This study investigate behavior of consumers at the fish market (farmed, seafood and fillets fish) on the basis of Lexicographic preferences. Consumers divided into two categories of deontologist and consequentialist. To achieve the study objectives, a questionnaire was used in 2015 in Mazandaran. The results show that consumer behaviors of deontologist are different form consequentialist and the average income elasticity of deontologist is 1.31 and for consequentialist is 1.16 so fish in both groups is luxury food. Price elasticity of sea fish for people deontologist's people is -0.59 and for Consequentialist is -0.63. Due to the low cost of the price elasticity of deontologist to consequentialist, it appears that in order to consumption pattern gets involved in use price policy is not enough only and policies should be reform and greater attention to product quality and diversifying must be considered.

Keywords


  1. Adhikari, M., Paudel, L., & Honuston J. (2012). The impact of cholesterol information on meat demand: Appliacation of an updated cholesterol index. Journal of Food Distribution Research, 37(2), 61-69.
  2. Azizi, J. & Torkamani, J. (2001). Functions applicant's estimate meats. Agricultural Economic and Development, 9(34), 217-237. (In Farsi).
  3. Bakhshude M. & Fathi, F. (2015). Food security changes form eliminating of energy subside in meat market. Journal of Agricultural Economics and Development. 3(1), 1-9.
  4. Banks J, & Blundell, A. (1997). Quadratic angel curves and consumer demand. The Review of Economics and Statistics, 79(4), 527-539.
  5. Batte, T.M. & Beaverson, J. (2004). Customer Willingness to Pay for Multi-Ingredient Processed Organic Food Products.American Agricultural Economics Association Annual Meeting, Denver, Colorado.
  6. Brett, R. & Gelso, J. (2003). The influence of ethical attitudes on the demand for environmental recreation: incorporating lexicographic preferences. Ecological Economics, 53(2), 35-45.
  7. Cooper, J.C. Hanemann.G., & Signorello, M. (2002). One-and-One-Half-Bound Dichotomous- Choice ContingentValuation. The Review of Economics and Statistics, 84(4), 742-750.
  8. Cox, M.A. (2009). Multidimensional scaling as an aid for the analytic network and analytic hierarchy processes. Jouranl of data science, 7(3), 381-396.
  9. Deaton, A. & Muellbauer, J. (1980). An almost ideal demand system. American Economic Review. 70(3), 312-326.

10. Gharibnavaz, M. (2007). The effect of income distribution on consumption pattern of households in urban and rural, model QAIDS. Msc. Thesis, University of Shiraz. (In Farsi).

11. Ghoreshi, A. & Sadrolashrafi, M. (2005). Estimating the demand for meat with using of AIDS model. Agriculture Science, 11(3), 133-143. (In Farsi).

12. Karagiannis, G., Katranidis, S., & Velentzas, K. (2000). An error correction almost ideal demand system for meat in Greece. Agricultural Economics, 22, 29-35.

13. Laraki K. (1989). Food subsidies: A case study of price reform in morocco. Lsms working paper. NO 50.

14. Liu, K. & Chern, W. (2003). Food demand in urban china: An application of a multi-stage censored demand system. Paper prepared for presentation at the American agricultural economics. Association annual meeting. Montreal, Canada.

15. Liu K. & Sun, C. (2009). A globally flexible, quadratic almost ideal demand system: an application for meat demand in Taiwan. Department for economics. National chung Cheng University.

16. Pakdaman, M. (2009). The effect of reforming of food subsidies on food security sector in Iran. Msc. Thesis, University of Shiraz. (In Farsi).

17. Safavi, R. (2001). Estimating the demand for protein products in Iran. Agricultural research, 1(2), 152-167. (In Farsi).

18. Skripnichenko, A., & Chen, K. (2002). Estimation of an effectively globally regular demand system: An application to United States meat consumption. Empirical Economics, 27(2), 601-606.

19. Spash, C.L., & Hanley, N. (2000). Preferences, information and biodiversity preservation. Ecological Economics, 12(4), 191-208.

20. Taljaard, P.R., van Schalkwyk, H.D., & Alemu, Z.G. (2009). Choosing between the AIDS and Rotterdam models: A meat demand analysis case study, Agrekon. 45(2), 158-172.

21. Tarmast, G.H. (2000). Almost Ideal Demand System Parameter Estimation and demand for a group of Iranian food. Agricultural Science, 10 (3), 59-73. (In Farsi).

22. Weliwita, A., Nyange, D., Tsujii, H. (2003). Food Demand Patterns in Tanzania: A Censored Regression Analysis of Microdata, Sri Lankan. Journal of Agricultural Economics, 5 (1), 9-18.

23. Wenye, Y. (2010). Food demand in rural china: a study of rural household models. Ph.D. thesis The Ohio State University.