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The Impact of Child Obesity News on Household Food Expenditure in the United Kingdom

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  • Silva, Andres
  • Garcia, Marian
  • Bailey, Alastair

Abstract

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.

Suggested Citation

  • Silva, Andres & Garcia, Marian & Bailey, Alastair, 2012. "The Impact of Child Obesity News on Household Food Expenditure in the United Kingdom," 2012 AAEA/EAAE Food Environment Symposium 123526, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaeafe:123526
    DOI: 10.22004/ag.econ.123526
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    1. BARTEN, Anton P., 1977. "The systems of consumer demand functions approach: A review," LIDAM Reprints CORE 284, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Mazzocchi, Mario & Traill, W. Bruce & Shogren, Jason F., 2009. "Fat Economics: Nutrition, Health, and Economic Policy," OUP Catalogue, Oxford University Press, number 9780199213863.
    3. 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 351-356, May.
    4. Verbeke, Wim & Ward, Ronald W., 2001. "A fresh meat almost ideal demand system incorporating negative TV press and advertising impact," Agricultural Economics, Blackwell, vol. 25(2-3), pages 359-374, September.
    5. 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.
    6. Atkinson, A. B. & Stern, N. H., 1980. "On the switch from direct to indirect taxation," Journal of Public Economics, Elsevier, vol. 14(2), pages 195-224, October.
    7. 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, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(4), pages 501-521, December.
    8. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    9. 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.
    10. 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, Cambridge University Press, vol. 40(2), pages 539-549, August.
    11. 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, April.
    12. 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 570-597, June.
    13. 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.
    14. 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(1), pages 1-9, July.
    15. Barten, Anton P, 1977. "The Systems of Consumer Demand Functions Approach: A Review," Econometrica, Econometric Society, vol. 45(1), pages 23-51, January.
    16. 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, January.
    17. Senarath Dharmasens & Oral Capps, Jr., 2011. "Intended and Unintended Consequences of a Proposed National Tax on Sugar-Sweetened Beverages to Combat the U.S. Obesity Problem," Reports 285214, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
    18. Michael Burton & Trevor Young & Roy Cromb, 1999. "Meat consumers’ long-term response to perceived risks associated with BSE in Great Britain," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 50, pages 7-19.
    19. 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.
    20. Christopher F Baum & Teresa Linz, 2009. "Evaluating concavity for production and cost functions," Stata Journal, StataCorp LP, vol. 9(1), pages 161-165, March.
    21. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    22. 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.
    23. Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
    24. 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.
    25. 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.
    26. Gary W. Brester & Ted C. Schroeder, 1995. "The Impacts of Brand and Generic Advertising on Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 969-979.
    27. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    28. 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, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 19(2), pages 137-163.
    29. 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 348-359, June.
    30. Brown, Mark G & Lee, Jonq-Ying, 1993. "Alternative Specifications of Advertising in the Rotterdam Model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 20(4), pages 419-436.
    31. 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.
    32. Johannes Sauer, 2006. "Economic Theory and Econometric Practice: Parametric Efficiency Analysis," Empirical Economics, Springer, vol. 31(4), pages 1061-1087, November.
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. [経済]知るは痩せる力なり
      by himaginary in himaginaryの日記 on 2012-07-01 12:00:00
    2. Is obesity an information problem?
      by Economic Logician in Economic Logic on 2012-06-27 19:16:00

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    Food Consumption/Nutrition/Food Safety;

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