Linking Consumer Health Perceptions to Consumption of Nonalcoholic Beverages
This study explored factors influencing consumersâ€™ beverage consumption. Consumers drank greater shares of beverages perceived as healthy and, in most cases, drank smaller shares of a beverage when they perceived alternative beverages as more healthy. One exception was carbonated sugar-sweetened beverages; the share of their consumption increased as health perceptions of 100 percent juice increased and vice versa. Another important determinant of beverage consumption share was objective and subjective health knowledge. Beverage drinking habit, which was measured by whether a beverage was consumed daily or weekly, was the most significant factor in explaining a beverageâ€™s diet share.
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- Park, C Whan & Mothersbaugh, David L & Feick, Lawrence, 1994. " Consumer Knowledge Assessment," Journal of Consumer Research, Oxford University Press, vol. 21(1), pages 71-82, June.
- Breusch, T.S. & Pagan, A.R., .
"The Lagrange multiplier test and its applications to model specification in econometrics,"
CORE Discussion Papers RP
412, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 239-253.
- Hyeyoung Kim & Lisa A. House & Gail Rampersaud & Zhifeng Gao, 2012. "Front-of-Package Nutritional Labels and Consumer Beverage Perceptions," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(4), pages 599-614.
- Brucks, Merrie, 1985. " The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Oxford University Press, vol. 12(1), pages 1-16, June.
- House, Lisa & Lusk, Jayson L. & Jaeger, Sara & Traill, W. Bruce & Moore, Melissa & Valli, Carlotta & Morrow, Bert & Yee, Wallace M.S., 2004. "Objective And Subjective Knowledge: Impacts On Consumer Demand For Genetically Modified Foods In The United States And The European Union," 2004 Annual meeting, August 1-4, Denver, CO 20125, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Yen, Steven T. & Stillman, Richard, 2012. "U.S. Fluid Milk Demand: A Disaggregated Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 15(1).
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