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Consumer knowledge, food label use and grain consumption in the US

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  • Biing-Hwan Lin
  • Steven Yen

Abstract

Responding to mounting evidence of the association between whole-grain consumption and a reduced risk of heart problems and other diseases, as well as an increased probability of body weight maintenance, the US Government has strongly encouraged its citizens to increase consumption of whole grains. However, compared against the 2005 Federal dietary recommendations, in 1994-1996 only 6% of Americans met the current recommended whole-grain consumption. To narrow this huge gap between actual and recommended consumption of whole grains, considerable changes in consumer behaviour will be needed. A demand system with two censored consumption equations and endogenous food label use and nutrition knowledge variables is estimated to investigate the factors that affect the consumption of whole and refined grains. Food label use and nutrition knowledge are found to play important roles in the consumption of refined- and whole-grain products, as are sociodemographic variables. The results can be used to help develop effective nutrition education messages and targeting strategies to promote consumption of whole grains in Americans' diets.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:4:p:437-448
    DOI: 10.1080/00036840600690298
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Berg, Nathan & Kim, Jeong-Yoo, 2010. "Demand for Self Control: A model of Consumer Response to Programs and Products that Moderate Consumption," MPRA Paper 26593, University Library of Munich, Germany.
    2. Senia, Mark C. & Dharmasena, Senarath, 2016. "Factors Affecting the Intake of Dietary Fiber in the United States Diet," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229982, Southern Agricultural Economics Association.
    3. Guan, Lijun & Zhang, Yan & Jin, Shaosheng & Zhou, Lin, 2021. "Understanding the low use rate of food nutrition information in China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(5), April.
    4. Priscilla Cecilia Affram & Sarah Darkwa, 2015. "Consumers` knowledge, understanding and use of food label information, and how it affects purchasing decision in ho, Ghana," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 5(3), pages 24-39, March.
    5. Henson, Spencer & Blandon, Jose & Cranfield, John, 2010. "Difficulty of healthy eating: A Rasch model approach," Social Science & Medicine, Elsevier, vol. 70(10), pages 1574-1580, May.
    6. Shimokawa, Satoru, 2013. "When does dietary knowledge matter to obesity and overweight prevention?," Food Policy, Elsevier, vol. 38(C), pages 35-46.
    7. Mark, Senia & Senarath, Dharmasena, 2016. "Ascertaining the Role of Socio-Economic-Demographic and Government Food Policy Related Factors on the Per Capita Intake of Dietary Fiber Derived from Consumption of Various Foods in the United States," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235757, Agricultural and Applied Economics Association.
    8. Volpe, Richard & Okrent, Abigail, 2012. "Assessing the Healthfulness of Consumers' Grocery Purchases," Economic Information Bulletin 262129, United States Department of Agriculture, Economic Research Service.
    9. Yen, Steven T. & Lin, Biing-Hwan & Davis, Christopher G., 2008. "Consumer knowledge and meat consumption at home and away from home," Food Policy, Elsevier, vol. 33(6), pages 631-639, December.
    10. Steven T. Yen & Biing‐Hwan Lin, 2008. "Quasi‐maximum likelihood estimation of a censored equation system with a copula approach: meat consumption by U.S. individuals," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 207-217, September.

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