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M. Fishbein (1963)
An Investigation of the Relationships between Beliefs about an Object and the Attitude toward that ObjectHuman Relations, 16
Gary King (1988)
Statistical Models for Political Science Event Counts: Bias in Conventional Procedures and Evidence for the Exponential Poisson Regression ModelOperations Research eJournal
A. Rimal, S. Fletcher (2000)
INFLUENCE OF PRODUCT ATTRIBUTES AND HOUSEHOLD CHARACTERISTICS ON CONSUMERS' ATTITUDE TOWARD AND PURHCASE PATTERN OF IN-SHELL PEANUTSJournal of food distribution research, 31
Yi-fang Wu, E. Molaison, J. Pope, S. Reagan (2005)
Attitudes and acceptability of soy‐based yogurt by college studentsNutrition & Food Science, 35
K. Lancaster (1971)
Consumer Demand: A New Approach
S. Yen, W. Chern (1992)
Flexible Demand Systems with Serially Correlated Errors: Fat and Oil Consumption in the United StatesAmerican Journal of Agricultural Economics, 74
Deborah Brown, L. Schrader (1990)
Cholesterol Information and Shell Egg ConsumptionAmerican Journal of Agricultural Economics, 72
J. Mullahy (1986)
Specification and testing of some modified count data modelsJournal of Econometrics, 33
O. Capps, J. Schmitz (1991)
A RECOGNITION OF HEALTH AND NUTRITION FACTORS IN FOOD DEMAND ANALYSISWestern Journal of Agricultural Economics, 16
L. Pendleton, J. Shonkwiler (2001)
Valuing Bundled Attributes: A Latent Characteristics ApproachLand Economics, 77
D. Heien, C. Wessells (1988)
The Demand for Dairy Products: Structure, Prediction, and DecompositionAmerican Journal of Agricultural Economics, 70
S. Krebs-Smith, J. Heimendinger, B. Patterson, A. Subar, R. Kessler, E. Pivonka (1995)
Psychosocial Factors Associated with Fruit and Vegetable ConsumptionAmerican Journal of Health Promotion, 10
R. Nayga (1997)
Impact of Sociodemographic Factors on Perceived Importance of Nutrition in Food Shopping.Journal of Consumer Affairs, 31
S. Jaeger, H. Meiselman (2004)
Perceptions of meal convenience: the case of at-home evening mealsAppetite, 42
P. Ippolito, A. Mathios (1990)
Information, advertising and health: a study of the cereal market.The RAND Journal of Economics, 21
Pamela Paxton, R. Long (1997)
Regression Models for Categorical and Limited Dependent Variables
Jeremy Foltz, B. Barham, Kwansoo Kim (2000)
UNIVERSITIES AND AGRICULTURAL BIOTECHNOLOGY PATENT PRODUCTIONAgribusiness, 16
C. Lin, J. Milon (1993)
Attribute and Safety Perceptions in a Double-Hurdle Model of Shellfish ConsumptionAmerican Journal of Agricultural Economics, 75
S. Cochrane (1980)
The effects of education on health
J. Erdman (2000)
AHA Science Advisory: Soy protein and cardiovascular disease: A statement for healthcare professionals from the Nutrition Committee of the AHA.Circulation, 102 20
Kim Jensen (1995)
Fluid Milk Purchase Patterns in the South: Effects of Use of Nutrition Information and Household CharacteristicsJournal of Agricultural and Applied Economics, 27
G. Ladd, Veraphol Suvannunt (1976)
A Model of Consumer Goods CharacteristicsAmerican Journal of Agricultural Economics, 58
D. Kilcast, J. Cathro, L. Morris (1996)
Practical approaches to increasing vegetable consumptionNutrition & Food Science, 96
James Blaylock, W. Blisard (1992)
U.S. Cigarette Consumption: The Case of Low-Income WomenAmerican Journal of Agricultural Economics, 74
M. Messina, Christoper Gardner, S. Barnes (2002)
Gaining insight into the health effects of soy but a long way still to go: commentary on the fourth International Symposium on the Role of Soy in Preventing and Treating Chronic Disease.The Journal of nutrition, 132 3
K. Glanz, M. Basil, E. Maibach, J. Goldberg, Dan Snyder (1998)
Why Americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption.Journal of the American Dietetic Association, 98 10
K. Land (1992)
MODELS OF CRIMINAL CAREERS: SOME SUGGESTIONS FOR MOVING BEYOND THE CURRENT DEBATECriminology, 30
A. Cameron, P. Trivedi (1986)
Econometric models based on count data. Comparisons and applications of some estimators and testsJournal of Applied Econometrics, 1
P. Ippolito, A. Mathios (1990)
Information, Advertising and Health Choices: A Study of the Cereal MarketThe RAND Journal of Economics, 21
Xianglan Zhang, X. Shu, Yu-Tang Gao, Gong Yang, Qi Li, Hong-Lan Li, F. Jin, W. Zheng (2003)
Soy food consumption is associated with lower risk of coronary heart disease in Chinese women.The Journal of nutrition, 133 9
C. Moorman, E. Matulich (1993)
A Model of Consumers' Preventive Health Behaviors: The Role of Health Motivation and Health AbilityJournal of Consumer Research, 20
P. Haines, B. Popkin, D. Guilkey (1988)
Modeling Food Consumption Decisions as a Two-Step ProcessAmerican Journal of Agricultural Economics, 70
A. Rimal, S. Fletcher, K. Mcwatters (2000)
Nutrition Considerations In Food SelectionThe International Food and Agribusiness Management Review, 3
Purpose – There are two main objectives of this paper. The first is to analyze household consumption pattern of soyfood products. The second is to investigate effect of the United States Food and Drug Administration (FDA) allowed health claims on consumption of soyfoods. Design/methodology/approach – The objectives were accomplished in two stages. In the first stage, the role of consumers' perceived attributes of soy‐based foods such as convenience of preparation and consumption, health benefits, and taste in consumers' decisions to consume soy‐based food products was investigated. In the second stage, the study analyzed whether the decision of the Food and Drug Administration to allow food manufacturers to use health claims had influenced consumers' willingness to participate in soy‐based food market or willingness to increase consumption, if they are currently consuming such foods. Lancaster's characteristics model was combined with Fishbein's multi‐attribute model to develop a soybean demand function that included perceived attributes of soyfood. Zero‐inflated negative binomial model (ZINB) was used as an empirical specification to address zero consumption of soyfood products. Data were collected using a convenience sample drawn from a Midwest college town in the United States. Two questionnaires (i.e. one with information about the FDA's decision and the other without it) were given to students taking introductory marketing courses. In total 400 questionnaires were distributed and 315 respondents returned completed questionnaires. Findings – Attributes of soy‐based food products such as convenience and tastefulness had statistically significant effect on the consumption pattern. Consumers who perceived beneficial health attributes in soyfood products were more likely to participate in the soyfood market as well as increase consumption frequency. The results indicated that frequent users of soyfood products who were exposed to the decision of the FDA would be more inclined to increase their consumption of soy‐based foods as compared to those who were not exposed to such information. Yet the information about FDA's decision did not influence the behavioral intentions of infrequent consumers or non‐consumers. Orginality/value – Research evaluating the impact of government allowed health claims on food consumption pattern is scarce. This paper sets up a platform for carrying out the evaluation of such health claims by other food products.
British Food Journal – Emerald Publishing
Published: Jun 13, 2008
Keywords: Food products; Health foods; Consumption; United States of America
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