The Impact of Child Obesity News on Household Food Expenditure in the United Kingdom
The United Kingdom (UK) has one of the highest obesity levels in the world (Mazzocchi et al., 2009). As indicated by the National Health Service (2010), 25% of adults and 17% of children are obese in the UK. This last statistic represents an increase of four points in comparison to 1995. The Government Office for Science (2010) estimated that by 2050, half of the UK population would be obese, with a consequent direct annual cost of £10 billion and an indirect annual cost of £50 billion at today’s prices. This research aims to contribute to the debate on how health-related information impacts household food expenditure and whether this impact varies across income groups and household composition. This study specifically measures the impact of child obesity news on household food expenditure in the UK. To this end, the study calculated a set of elasticities for different income groups (high vs. low) and family composition (families with and without children). This set of elasticities gives us a measure of responsiveness, to change in terms of price, income and news. The results indicate that child obesity news causes different impacts on households according to their income level and household composition. Low-income households without children are not significantly impacted by child obesity news. Low-income households with children change their food expenditure composition to a healthier diet without changing the overall food expenditure. High-income households without children decrease their overall food expenditure, mainly changing red meat for dairy products. Finally, high-income households with children increase their overall food expenditure and move on to a healthier diet. Therefore, in three out of four household cases, child obesity news causes a different and positive impact on diet. Low-income households with children in default-mode spend the smallest proportion of their income on fruit and vegetables; which is even less than low-income households without children. More importantly, low-income households with children influence the nutritional habits of their children. This research shows that low-income households with children respond to child obesity news and move on to a healthier diet without causing undesirable income redistribution.
|Date of creation:||2012|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
- Ehmke, Mariah D. & Warziniack, Travis & Schroeter, Christiane & Morgan, Kari, 2008. "Applying Experimental Economics to Obesity in the Family Household," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(02), August.
- Verbeke, Wim & Ward, Ronald W., 2001.
"A fresh meat almost ideal demand system incorporating negative TV press and advertising impact,"
Blackwell, vol. 25(2-3), pages 359-374, September.
- Verbeke, Wim & Ward, Ronald W., 2001. "A fresh meat almost ideal demand system incorporating negative TV press and advertising impact," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(2-3), September.
- Angus Deaton & Salman Zaidi, 2002.
"Guidelines for Constructing Consumption Aggregates for Welfare Analysis,"
World Bank Publications,
The World Bank, number 14101, September.
- Angus Deaton & Salman Zaidi, 1999. "Guidelines for Constructing Consumption Aggregates For Welfare Analysis," Working Papers 217, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
- Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
- A. B. Atkinson & N. H. Stern, 1980.
"On the switch from direct to indirect taxation,"
in: Econometric Studies in Public Finance, pages 195-224
National Bureau of Economic Research, Inc.
- Duffy, Martyn, 2003. "Advertising and food, drink and tobacco consumption in the United Kingdom: a dynamic demand system," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 28(1), January.
- Brown, Mark G & Lee, Jonq-Ying, 1993. "Alternative Specifications of Advertising in the Rotterdam Model," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 20(4), pages 419-36.
- Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
- Barten, Anton P, 1977. "The Systems of Consumer Demand Functions Approach: A Review," Econometrica, Econometric Society, vol. 45(1), pages 23-51, January.
- Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-97, June.
- Green, Richard D. & Carman, Hoy F. & McManus, Kathleen, 1991. "Some Empirical Methods Of Estimating Advertising Effects In Demand Systems: An Application To Dried Fruits," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(01), July.
- Bo MacInnis & Gordon Rausser, 2005. "Does Food Processing Contribute to Childhood Obesity Disparities?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1154-1158.
- Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
- Kyrre Rickertsen & Dadi Kristofersson & Solveig Lothe, 2003. "Effects of health information on Nordic meat and fish demand," Empirical Economics, Springer, vol. 28(2), pages 249-273, 04.
- Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-56, May.
- Richard Tiffin & Matthieu Arnoult, 2010. "The demand for a healthy diet: estimating the almost ideal demand system with infrequency of purchase," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 37(4), pages 501-521, December.
- Michalek, J & Keyzer, M A, 1992. "Estimation of a Two-Stage LES-AIDS Consumer Demand System for Eight EC Countries," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 19(2), pages 137-63.
- James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
- Mazzocchi, Mario & Traill, W. Bruce & Shogren, Jason F., 2009. "Fat Economics: Nutrition, Health, and Economic Policy," OUP Catalogue, Oxford University Press, number 9780199213863, March.
- Okrent, Abigail M. & Alston, Julian M., 2011. "The Demand for Disaggregated Food-Away-from-Home Products," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103625, Agricultural and Applied Economics Association.
- Abigail Tiffin & Richard Tiffin, 1999. "Estimates of Food Demand Elasticities for Great Britain: 1972-1994," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 140-147.
- Johannes Sauer, 2006. "Economic Theory and Econometric Practice: Parametric Efficiency Analysis," Empirical Economics, Springer, vol. 31(4), pages 1061-1087, November.
- Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-59, June.
- Duffy, Martyn, 2003. "Advertising and food, drink and tobacco consumption in the United Kingdom: a dynamic demand system," Agricultural Economics, Blackwell, vol. 28(1), pages 51-70, January.
- Christopher F Baum & Teresa Linz, 2009. "Evaluating concavity for production and cost functions," Stata Journal, StataCorp LP, vol. 9(1), pages 161-165, March.
- William A. Barnett & Ousmane Seck, 2008. "Rotterdam model versus almost ideal demand system: will the best specification please stand up?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 795-824.
When requesting a correction, please mention this item's handle: RePEc:ags:aaeafe:123526. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.