1998
DOI: 10.1111/1467-8489.00057
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Some neglected issues in food demand analysis: retail‐level demand, health information and product quality

Abstract: Food demand analysis is dominated by the econometric estimation of demand systems based on aggregate market data and steady progress has been made in analytical techniques. Yet some issues have been neglected in food demand analysis which are crucial for understanding recent consumption trends in industrialised countries. Three of these issues are dealt with here: analysis of food demand at the retail level; in£uence of health information on food demand; and importance of product quality for food demand. It is… Show more

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Cited by 10 publications
(7 citation statements)
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“…In contrast to this expectation,Herrmann and Roeder (1998) argue that household infrastructure improves with income, and a better infrastructure enables high-income households to buy at lower average costs.…”
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confidence: 85%
“…In contrast to this expectation,Herrmann and Roeder (1998) argue that household infrastructure improves with income, and a better infrastructure enables high-income households to buy at lower average costs.…”
mentioning
confidence: 85%
“…An overview of these indices has been given by Kant 2 . Composite indices differ in the number of dietary components included, which ranges from eight 1 to approximately 20 8 . They also vary in the composition of the components.…”
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confidence: 99%
“…Some authors combine foods and nutrients in one index 4,7,9 , while others separate them 6 . Whereas some authors combine indicators of excess intake and of deficient intake in one single index 1,4,6,7,9 , others make separate indices 8 . Finally, indices also differ in the construction of scores.…”
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confidence: 99%
“…For the demand parameters, the main standard assumption indicates that demand for food products is quite inelastic at the aggregate level of market demand functions (Durhamand and Eales, 2006; Herrmann and Roeder, 1998). You et al (1996, 1998) calculated price elasticities for tomatoes and cucumbers in the United States, suggesting absolute values of about 0.3 and 0.4.…”
Section: Modeling Approachmentioning
confidence: 99%