Modeling the Effect of Economic Sanctions on the Demand for Meat Consumption Basket of Urban Households

Authors
1 The Center for Development Research and Foresight
2 University of Tehran
Abstract
Due to the position of meat products in the food pyramid and its importance in maintaining people's health and that economic sanctions can have a significant effect on meat consumption through the channel of increasing production costs and increasing the price of meat, the purpose of this research is to investigate the existence of failure There is a structure in the preferences of the meat consumption basket of urban households using the parametric approach and the switching regression framework developed by Ohtani and Katayama (1986) in the period of 2001-2013. The results show a structural failure (change) in preferences suddenly in 2017 and after the withdrawal of the United States from the JCPOA. The results show that after the withdrawal of the United States from the JCPOA, the price of chicken meat has decreased and the price of fish has increased, so that chicken meat has changed from an attractive product to an inelastic product. This result shows that consumers have become dependent on chicken meat and are willing to pay more to buy it. In such a situation, it is important to have adequate and optimal monitoring of the price of chicken meat, because people are forced to pay any price for chicken meat, and the changes of this product can cause the consumption basket of urban households to fluctuate greatly. Also, the estimation of income elasticity shows that chicken meat has changed from a necessary commodity to a luxury commodity after the sanctions. Therefore, to support consumers, it will be the right decision to use income tools and policies that lead to increasing the liquidity of urban households.
Keywords

• Ali, W., & Ambiya. (2023). Urbanization and Nutrition Transition: Evidence from South Asia. Asian Economics Letters, 4(Early View). Doi:10.46557/001c.74857
• Banks, J. Blundell, R. & Lewbel, A. (1997). Quadratic Engel Curves and Consumer Demand, Review of Economics and Statistic, 79:527-539.
• Barten AP. 1968. Estimating demand equations. Econometrica Vol. 36(2): 213-51.
• Bewley, R. (1986). Allocation Models: Specification, Estimation, and Applications. Ballinger, Cambridge, MA.
• Chou, K., W. (2019). Re-Examining the Time-Varying Nature and Determinants of Exchange Rate Pass-Through into Import Prices. The North American Journal of Economics and Finance, 49, 331-351.
• Christensen, L., R. Jorgenson, D., W. & Lau, L.,J. (1975) Transcendental Logarithmic Utility Function, American Economic Review, 65, 367-383.
• Deaton, A. S. & Muellbauer, J. (1980). An Almost Ideal Demand System, American Economic Review, 70, 312-326.
• Dutt, P. & Padmanabhan, V. (2011). Crisis and Consumption Smoothing. Marketing Science, 30(3), 491–512.
• Farzanegan., MR and Batmanghelidj., E. (2023). Understanding Economic Sanctions on Iran: A Survey. Econst Voice; 20(2): 197–226. https://doi.org/10.1515/ev-2023-0014.
• Fleissig, A., R. Alastair, R., H. & Seater, J. J. (2000). GARP, Separability, and the Representative Agent. Macroeconomic Dynamics, 4(3): 324-342.
• Geoffrey, M., P. Capps, O. & Clauson, A. (2005). Demand for Non-Alcoholic Beverages: Evidence from the ACNielsen Home Scan Panel. The American Agricultural Economics, Rhode Island, 44, 159-170
• Gorman, W. M. (1981). Some Engel Curves. In Essays in the Theory and Measurement of Consumer Behaviour in Honour of Sir Richard Stone, edited by Angus Deaton, pp. 7-29. Cambridge: Cambridge University Press. https://doi.org/10.2307/2232561
• Henchion, M. Hayes, M. Mullen, A. M. Fenelon, M. & Tiwari, B. (2017). Future Protein Supply and Demand: Strategies and Factors Influencing a Sustainable Equilibrium. Foods, 6(7), 53. https://doi.org/10.3390/foods6070053
• Holland, A. (2012). The Arab Spring and World Food Prices. American Security Project, https:// www.jstor.org /stable/resrep05961
• Hovhannisyan, V. Kondaridze, M. Bastian, C., H. & Shanoyan, V. (2020). Empirical Evidence of Changing Food Demand and Consumer Preferences in Russi. Journal of Agricultural and Applied Economics, (2020), 52, 480–501.
• Kimsanova, B. Sanaev, G. & Herzfeld, T. (2023). Dynamics of Food Demand During Political Instability: Evidence from Kyrgyzstan. Agricultural Economics, 1–13. https://doi.org/10.1111/agec.12810.
• Leser, C., E., V. (1941). Family Budget Data and Price Elasticities of Demand, Review of Economic Studies, 9, 40-57.
• Mas-Collell, A. Whinston, M., D. & Green, J. (1995). Microeconomic Theory. Oxford University Press.
• Ohtani, K. & Katayama, S. (1986). A gradual switching regression model with autocorrelated errors. Econ. Lett. 21(2), 169–72.
• Ojogho and Imade. (2022). Food Expenditure Pattern of Household in Delta State, Nigeria: Economic Rationality Essentials. Selcuk J Agr Food Sci, (2022) 36 (3): 368-374. DOI:10.15316/SJAFS.2022.047.
• Okrent A.M., Alston, J. A. (2011). Demand for Food in the United States. Davis, CA: University of California, Davis, Giannini Foundation Monograph 48.
• Pangarkar, A. & Shukla, P. (2023). Conspicuous and Inconspicuous Consumption of Luxury Goods in A Digital World: Insights, Implications, and Future Research Directions. International Journal of Advertising, 42(7), 1226–1238.
• Statistical Centre of Iran. Household, Expenditure and Income. (2022)
• Stone, J. (1954). Linear Expenditure System and Demand Analysis: An Application to the Pattern of Britsh Demand, the Economic Journal, 45:982-1001.
• Varian, H. R. (1982). The Nonparametric Approach to Demand Analysis. Econometrica, 50 (4): 945–973
• Wohlgenant, M., K. (2021). Consumer Demand—Separability and Commodity Aggregation. In Market Interrelationships and Applied Demand Analysis (pp. 21-36). Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-73144-1_3
• Zaidullah, M. and H. & Fatima. (2016). Estimating the Structural Shifts in the Demand for the Selected Food Groups in Pakistan. Sarhad Journal of Agriculture, 32(4): 343-353.