American Journal of Food Science and Technology
ISSN (Print): 2333-4827 ISSN (Online): 2333-4835 Website: https://www.sciepub.com/journal/ajfst Editor-in-chief: Hyo Choi
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American Journal of Food Science and Technology. 2020, 8(2), 75-80
DOI: 10.12691/ajfst-8-2-6
Open AccessArticle

Analyses of Aggregate Food Demand in the United States

Kazi Tamim Rahman1, , Mohammad Surozzaman2, Mashrat Jahan1, Mohammod Enamul Haque3 and M. Salauddin Palash4

1Department of Agricultural Economics, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh

2Department of Economics, Tejgaon College, Dhaka, Bangladesh

3Quality Control & Research Division, Bangladesh Milk Producers’ Co-operative Union Ltd

4Department of Agribusiness and Marketing, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

Pub. Date: April 21, 2020

Cite this paper:
Kazi Tamim Rahman, Mohammad Surozzaman, Mashrat Jahan, Mohammod Enamul Haque and M. Salauddin Palash. Analyses of Aggregate Food Demand in the United States. American Journal of Food Science and Technology. 2020; 8(2):75-80. doi: 10.12691/ajfst-8-2-6

Abstract

This study applies the Almost Ideal Demand System (AIDS) to estimate consumers demand for 9 major aggregate food items in the United States using household survey data from January 1959 to February 2016. More specifically, consumers’ price and expenditure sensitivity of demand was examined for cereals and bakery products; meats and poultry; fish and seafood; milk, dairy products and eggs; fats and oils; fresh fruit and vegetables; processed fruits and vegetables; sugar and sweets; and other foods. The empirical results illustrate that the consumption pattern of U.S. households has been changed significantly over the past 30 years. Although meats and poultry have the largest expenditure share but show a decreasing trend over the study period. Whereas, expenditure shares for processed fruits and vegetables, sugar and sweets, fats and oils, fish and sea exhibit very small changes. The compensated own price elasticities indicate that all food items are price inelastic having elasticities between -0.25 to -0.78. The compensated cross price elasticity estimates show that cereals and bakery products is a significant substitute of meats and poultry, fats and oil, and fresh fruits and vegetables but complement to fish and seafood, and processed fruits and vegetables. Expenditure elasticities of all goods are positive indicating all food categories are normal goods. The findings of the study would be helpful for the policy makers and agribusiness market participants to formulate effective policies and strategies for the improvement of consumers’ as well as producers’ welfare.

Keywords:
food demand AIDS model expenditure elasticity price elasticity cross price elasticity

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Hassan, Z. A. and Johnson, S. R., “Consumer Demand for Major Foods in Canada”, Economics branch Publication, Ottawa, 1976.
 
[2]  Gundersen, C. and James, P. Z., “Food Insecurity Research in the United States: Where We Have Been and Where We Need to Go”, Applied Economic Perspectives and Policy, 40(1), 119-135, March 2018.
 
[3]  Li, Chunding, Chuantian He, and Chuangwei Lin. "Economic impacts of the possible China-US trade war." Emerging Markets Finance and Trade 54, no. 7 : 1557-1577, 2018.
 
[4]  Salazar, A., Mohonty, S. and Malaga, J., “2025 vision for Mexican chicken consumption”, International Journal of Poultry Science, 4(5), 292-295. May 2005.
 
[5]  Islam, K. and Nabiul, M., Demand projections for poultry products and poultry feeds in Bangladesh. International Food Policy Research Institute, Washington, D.C. 2003.
 
[6]  Baffes, J. And Madhur, G., “Assessing the sustainability of rice production growth in Bangladesh”, Food Policy, 26(5), 515-542, October 2001.
 
[7]  Huq, A.S.M.A. and Arshad, F.M. “Demand Elasticities for Different Food Items in Bangladesh”, journal of Applied Science, 10 (20), 2369-2378, August 2010.
 
[8]  Kotkin, J., “The changing demographics of America”, The Dallas morning news, July 2010.
 
[9]  Centers for Disease Control and Prevention (CDC). National Health and Nutrition Examination Survey, 2015.
 
[10]  Ford, E.S. and William, H. D., “Trends in energy intake among adults in the United States: findings from NHANES.” American Journal of Clinical Nutrition, 97(4), 848-53, January 2013.
 
[11]  Grant, J.H., Lambert, D.M. and Foster, K. A., “A seasonal inverse almost ideal demand system for North American fresh tomatoes”, Canadian Journal of Agricultural Economics, 58(2), 215-234, May 2010.
 
[12]  Karangiannis, G., Katranidis, S. and Velentas, K., “An error correction almost ideal demand system for meat in Greece”, Agricultural Economics, 22(1), 29-35, January 2000.
 
[13]  Tiffin, R. and Aguiar, M., “Bayesian estimation of an almost ideal demand system for fresh fruit in Portugal”. European Review of Agricultural Economics, 22(4), 469-480, December 1995.
 
[14]  Abdulai, A., “Household demand for food in Switzerland: A quadratic almost ideal demand system”, Swiss Journal of Economics and Statistics, 138(1), 1-18, March 2002.
 
[15]  Wadud, M.A., “An analysis of meat demand in Bangladesh using the almost ideal demand system”, The Empirical Economics Letters, 5(1), 29-35. January 2006.
 
[16]  Eales, J., S. and Unnevehr, L.J., “Demand for beef and chicken products: separability and structural change”, American Journal of Agricultural Economics 70, no. 3: 521-532, 1988.
 
[17]  Moschini, G., and Meilke, K. D., “Modeling the pattern of structural change in US meat demand”, American Journal of Agricultural Economics 71, no. 2: 253-261.
 
[18]  Liu, D. J. and Olan D. F., “Generic fluid milk advertising, demand expansion, and supply response: the case of New York City”, American Journal of Agricultural Economics, 70(2), 229-236, May 1988.
 
[19]  Gould, B. W., Thomas L. C. and Federico P., “The demand for fluid milk products in the US: a demand systems approach”, Western Journal of Agricultural Economics, 15(1), 1-12, July 1990.
 
[20]  Tonsor, G. T. and Marsh, T.L., “Comparing heterogeneous consumption in the US and Japanese meat and fish demand”. Agricultural Economics 37, 81-90, February 2007.
 
[21]  Eales, J., S. and Unnevehr, L.J., “Simultaneity and structural change in US meat demand”. American Journal of Agricultural Economics, 75, no. 2: 259-268, 1993.
 
[22]  Brandow, G. E., Interrelationships Among Demands for Farm Products and Implications for Control of Market Supply, Pennsylvania State University, College of Agriculture, Agricultural Experiment Station, 1961.
 
[23]  George, P. S., and King, G. A. Consumer Demand for Food Commodities in the United States with Projections for 1980, Agricultural Publications, University of California, Berkeley 1971.
 
[24]  BEA (Bureau of Economic Analysis), 2016. Retrieved from https://www.bea.gov/data
 
[25]  Deaton, A. and Muellbauer, J., “An almost ideal demand system”, The American Economic Review, 70(3), 312-326, June 1980.
 
[26]  Petersen, E., “Estimating wholesale demand for live reef food fish in Hong Kong”, IIFET Portsmouth, Centre for the Economics and Management of Aquatic Resources, 2-12, 2006.
 
[27]  Sloman, J. and Norris, K., Economics. 2nd Edition, Pearson Education Australia. New South Wales, 2002.