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Food And Agricultural Commodity Consumption In The United States: Looking Ahead To 2020

Author

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  • Lin, Biing-Hwan
  • Variyam, Jayachandran N.
  • Allshouse, Jane E.
  • Cromartie, John

Abstract

U.S. consumption of food commodities is projected to rise through the year 2020, mainly due to an increase in population. But the mix of commodities is expected to shift because of an older and more diverse population, rising income, higher educational attainment, improved diet and health knowledge, and growing popularity of eating out. This study analyzes data from USDA's food consumption survey to project the consumption, through the year 2020, of 25 food groups and 22 commodity groups. Per capita consumption of fish, poultry, eggs, yogurt, fruits, nuts and seeds, lettuce, tomatoes, some other vegetables, grains, and vegetable oils is predicted to rise, whereas consumption of beef, pork, other meat, milk, cheese, potatoes, and sugar is expected to fall. The growth of the at-home and away-from-home markets varies from one commodity to another. Fruit consumption is expected to lead all commodities in growth in the at-home market, and fish consumption is expected to lead in growth in the away-from-home market.

Suggested Citation

  • Lin, Biing-Hwan & Variyam, Jayachandran N. & Allshouse, Jane E. & Cromartie, John, 2003. "Food And Agricultural Commodity Consumption In The United States: Looking Ahead To 2020," Agricultural Economic Reports 33959, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerser:33959
    DOI: 10.22004/ag.econ.33959
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    References listed on IDEAS

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    1. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. Variyam, Jayachandran N. & Golan, Elise, 2002. "New Health Information Is Reshaping Food Choices," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 25(1).
    4. Variyam, Jayachandran N. & Blaylock, James R. & Smallwood, David M. & Basiotis, P. Peter, 1998. "USDA's Healthy Eating Index and Nutrition Information," Technical Bulletins 33588, United States Department of Agriculture, Economic Research Service.
    5. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    6. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    7. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    8. Lin, Biing-Hwan & Frazao, Elizabeth & Guthrie, Joanne F., 1999. "Away-From-Home Foods Increasingly Important to Quality of American Diet," Agricultural Information Bulletins 33733, United States Department of Agriculture, Economic Research Service.
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    Citations

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    Cited by:

    1. Lin, Biing-Hwan & Smith, Travis & Guthrie, Joanne, 2023. "Trends in U.S. Whole-Grain Intakes 1994–2018: The Roles of Age, Food Source, and School Food," USDA Miscellaneous 335423, United States Department of Agriculture.
    2. Lin, Biing-Hwan & Yen, Steven T., 2007. "The U.S. Grain Consumption Landscape: Who Eats Grain, in What Form, Where, and How Much?," Economic Research Report 55967, United States Department of Agriculture, Economic Research Service.
    3. O’Dierno, Linda J. & Govindasamy, Ramu & Puduri, Venkata S. & Myers, Joseph J. & Islam, Sho, 2006. "Consumer Perceptions and Preferences for Organic Aquatic Products: Results from the Telephone Survey," P Series 36743, Rutgers University, Department of Agricultural, Food and Resource Economics.
    4. Sobekova, Kristina & Thomsen, Michael R. & Ahrendsen, Bruce L., 2013. "Market trends and consumer demand for fresh berries," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 7(2-3), pages 1-4.
    5. Lin, Biing-Hwan & Yen, Steven T., 2005. "Consumer Knowledge, Food Label Use and Grain Consumption," 2005 Annual meeting, July 24-27, Providence, RI 19557, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Pruitt, J. Ross & Holcomb, Rodney B., 2017. "Impacts of Food Safety Recalls and Consumer Information on Restaurant Performance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 48(3), November.
    7. Biing-Hwan Lin & Steven Yen, 2008. "Consumer knowledge, food label use and grain consumption in the US," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 437-448.
    8. Lin, Biing-Hwan & Buzby, Jean C. & Anekwe, Tobenna D. & Bentley, Jeanine T., 2016. "U.S. Food Commodity Consumption Broken Down by Demographics, 1994-2008," Economic Research Report 262198, United States Department of Agriculture, Economic Research Service.
    9. Armbruster, Walter J. & Coyle, William T. & Gilmour, Brad, 2004. "Where Will Demographics Take the Asia-Pacific Food System?," 2004 Conference (48th), February 11-13, 2004, Melbourne, Australia 58368, Australian Agricultural and Resource Economics Society.
    10. Stewart, Hayden & Dong, Diansheng & Carlson, Andrea, 2013. "Why Are Americans Consuming Less Fluid Milk? A Look at Generational Differences in Intake Frequency," Economic Research Report 262223, United States Department of Agriculture, Economic Research Service.
    11. Davis, Christopher G. & Yen, Steven T. & Lin, Biing-Hwan, 2007. "Does Consumer Knowledge Affect Meat Consumption in the US?," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34905, Southern Agricultural Economics Association.
    12. Hayden Stewart & Noel Blisard, 2008. "Are Younger Cohorts Demanding Less Fresh Vegetables?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(1), pages 43-60.
    13. Mori, Hiroshi & Clason, Dennis L., 2004. "A Cohort Approach for Predicting Future Eating Habits: The Case of At-Home Consumption of Fresh Fish and Meat in an Aging Japanese Society," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 7(1), pages 1-20.
    14. O’Dierno, Linda J. & Islam, Sho & Govindasamy, Ramu & Myers, Joseph J. & Puduri, Venkata S., 2005. "Identification and Evaluation of Viable Market Opportunities for Organically-Grown Aquatic Products: Results from the Focus Group Meetings," P Series 36737, Rutgers University, Department of Agricultural, Food and Resource Economics.
    15. Girju Marina M & Adams Michelle J & Ratchford Brian, 2010. "DemoImpact: Modeling, Forecasting and Managing the Impact of Major US Sociodemographic Trends on Multi-Category Snack Consumption," Review of Marketing Science, De Gruyter, vol. 8(2), pages 1-20, July.

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