THE EFFECTS OF TAXING SUGAR-SWEETENED BEVERAGES ACROSS DIFFERENT INCOME GROUPS
Corresponding Author
Anurag Sharma
Centre for Health Economics, Monash University, Melbourne, Australia
Correspondence to: Centre for Health Economics, Monash University, Melbourne, Vic. 3800, Australia. E-mail: [email protected]Search for more papers by this authorKatharina Hauck
Centre for Health Policy and the Healthcare Management Group, Imperial College London, UK
Search for more papers by this authorBruce Hollingsworth
Division of Health Research, Lancaster University, UK and Centre for Health Economics, Monash University, Australia
Search for more papers by this authorLuigi Siciliani
Department of Economics and Related Studies and Centre for Health Economics, University of York, York, UK
Search for more papers by this authorCorresponding Author
Anurag Sharma
Centre for Health Economics, Monash University, Melbourne, Australia
Correspondence to: Centre for Health Economics, Monash University, Melbourne, Vic. 3800, Australia. E-mail: [email protected]Search for more papers by this authorKatharina Hauck
Centre for Health Policy and the Healthcare Management Group, Imperial College London, UK
Search for more papers by this authorBruce Hollingsworth
Division of Health Research, Lancaster University, UK and Centre for Health Economics, Monash University, Australia
Search for more papers by this authorLuigi Siciliani
Department of Economics and Related Studies and Centre for Health Economics, University of York, York, UK
Search for more papers by this authorABSTRACT
This paper investigates the impact of sugar-sweetened beverages (SSB) taxes on consumption, bodyweight and tax burden for low-income, middle-income and high-income groups using an Almost Ideal Demand System and 2011 Household level scanner data. A significant contribution of our paper is that we compare two types of SSB taxes recently advocated by policy makers: A 20% flat rate sales (valoric) tax and a 20 cent/L volumetric tax. Censored demand is accounted for using a two-step procedure. We find that the volumetric tax would result in a greater per capita weight loss than the valoric tax (0.41 kg vs. 0.29 kg). The difference between the change in weight is substantial for the target group of heavy purchasers of SSBs in low-income households, with a weight reduction of up to 3.20 kg for the volumetric and 2.06 kg for the valoric tax. The average yearly per capita tax burden on low-income households is $17.87 (0.21% of income) compared with $15.17 for high-income households (0.07% of income) for the valoric tax, and $13.80 (0.15%) and $10.10 (0.04%) for the volumetric tax. Thus, the tax burden is lower, and weight reduction is higher under a volumetric tax. Copyright © 2014 John Wiley & Sons, Ltd.
REFERENCES
- ABS. 2013. Consumer Price Index, Australia. Available from: http://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/6401.0Dec2012?OpenDocument [accessed February 26, 2013].
- ACNielsen. 2013. Homescan panel member website. Available from: http://homescan.acnielsen.com.au/ [accessed February 25, 2013].
- Adelaja AO, Nayga RM, Lauderbach TC. 1997. Income and racial differentials in selected nutrient intakes. American Journal of Agricultural Economics 79(5): 1452–1460.
- Allais O, Bertail P, Nichèle V. 2010. The effects of a fat tax on french households' purchases: a nutritional approach. American Journal of Agricultural Economics 92(1): 228–245.
-
Allman-Farinelli MA. 2009. Do calorically sweetened soft drinks contribute to obesity and metabolic disease? Nutrition Today 44(1): 17–20.
10.1097/NT.0b013e318195738b Google Scholar
- Americans Against Food Taxes. 2013. Americans against food taxes education. Available from: http://www.nofoodtaxes.com/facts/-education [accessed January 28, 2013].
- Andreyeva T, Long MW, Brownell KD. 2010. The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food. American Journal of Public Health 100(2): 216–222.
- Banks J, Blundell R, Lewbel A. 1997. Quadratic Engel curves and consumer demand. Review of Economics and Statistics 79(4): 527–539.
- Blundell R, Robin JM. 1999. Estimation in large and disaggregated demand systems: an estimator for conditionally linear systems. Journal of Applied Econometrics 14(3): 209–232.
- Bridging the Gap Program. 2011. State Sales Tax on Regular, Sugar-Sweetened Soda (as of July 1, 2011). U. o. I. a.: Chicago.
- British Heart Foundation. 2012. Coronary heart disease statistics 2012. Coronary Heart Disease Statistics B. H. Foundation.
- Brownell KD, Frieden TR. 2009. Ounces of prevention — the public policy case for taxes on sugared beverages. New England Journal of Medicine 360(18): 1805–1808.
- Bruce B. 2013. Australian beverages council hits back at rethink sugary drink advert. FoodBev.com.
- Cancer Council Victoria. 2013. Australia should follow Mexico's lead and investigate tax on soft drinks and junk food. Cancer Council Victoria Media Release.
- Darmon N, Ferguson EL, Briend A. 2002. A cost constraint alone has adverse effects on food selection and nutrient density: an analysis of human diets by linear programming. The Journal of Nutrition 132(12): 3764–3771.
- Deaton A. 1988. Quality, quantity, and spatial variation of price. The American Economic Review 78(3): 418–430.
- Deaton A, Muellbauer J. 1980. An almost ideal demand system. The American Economic Review 70(3): 312–326.
- Dharmasena S, Capps Jr O. 2012. Intended and unintended consequences of a proposed national tax on sugar-sweetened beverages to combat the US obesity problem. Health Economics 21(6): 669–694.
- Einav L, Leibtag E, Nevo A. 2008. On the accuracy of Nielsen Homescan data, USDA, Economic Research Service.
- Finkelstein EA, Zhen C, Bilger M, Nonnemaker J, Farooqui AM, Todd JE. 2013. Implications of a sugar-sweetened beverage (SSB) tax when substitutions to non-beverage items are considered. Journal of Health Economics 32(1): 219–239.
- Finkelstein EA, Zhen C, Nonnemaker J, Todd JE. 2010. Impact of targeted beverage taxes on higher- and lower-income households. Archives of Internal Medicine 170(22): 2028–2034.
- Hall KD, Sacks G, Chandramohan D, Chow CC, Wang YC, Gortmaker SL, Swinburn BA. 2011. Quantification of the effect of energy imbalance on bodyweight. The Lancet 378(9793): 826–837.
- Harding M, Leibtag E, Lovenheim MF. 2012. The heterogeneous geographic and socioeconomic incidence of cigarette taxes: Evidence from Nielsen Homescan data. American Economic Journal: Economic Policy 4(4): 169–198.
- Hausman JA. 1996. Valuation of new goods under perfect and imperfect competition. The economics of new goods. University of Chicago Press: Chicago, IL; 207–248.
- Heien D, Wessells CR. 1990. Demand systems estimation with microdata: a censored regression approach. Journal of Business & Economic Statistics 8(3): 365–371.
- Katan MB, Ludwig DS. 2010. Extra calories cause weight gain—but how much? JAMA, the Journal of the American Medical Association 303(1): 65–66.
- Khazan O. 2012. What the world can learn from Denmark's failed fat tax. The Washington Post.
-
Kinnucan HW,
Miao Y,
Xiao H,
Kaiser HM. 2001. Effects of advertising on US non-alcoholic beverage demand: evidence from a two-stage Rotterdam model. Advances in Applied Microeconomics 10: 1–29.
10.1016/S0278-0984(01)10002-7 Google Scholar
- Laurance J. 2009. Time for a fat tax? The Lancet 373(9675): 1597.
- Leicester A, Windmeijer F. 2004. The ‘fat tax’: economic incentives to reduce obesity. IFS Briefing Notes BN49. I. o. F. Studies. London, UK, Institute of Fiscal Studies.
- Lin BH, Smith TA, Lee JY, Hall KD. 2011. Measuring weight outcomes for obesity intervention strategies: the case of a sugar-sweetened beverage tax. Economics and Human Biology 9(4): 329–341.
- Miao Z, Beghin JC, Jensen HH. 2013. Accounting for product substitution in the analysis of food taxes targeting obesity. Health Economics 22(11): 1318–1343.
- Nevo A. 2001. Measuring market power in the ready-to-eat cereal industry. Econometrica 69(2): 307–342.
- Nnoaham KE, Sacks G, Rayner M, Mytton O, Gray A. 2009. Modelling income group differences in the health and economic impacts of targeted food taxes and subsidies. International Journal of Epidemiology 38(5): 1324–1333.
- Nordström J, Thunström L. 2009. The impact of tax reforms designed to encourage healthier grain consumption. Journal of Health Economics 28(3): 622–634.
- Nordström J, Thunström L. 2011. Can targeted food taxes and subsidies improve the diet? Distributional effects among income groups. Food Policy 36(2): 259–271.
- NUTTAB. 2010. Nutrient tables for use in australia. Available from: http://www.foodstandards.gov.au/science/monitoringnutrients/nutrientables/nuttab/Pages/default.aspx [accessed December 15, 2012].
- Park JL, Holcomb RB, Raper KC, Capps O. 1996. A demand systems analysis of food commodities by U.S. households segmented by income. American Journal of Agricultural Economics 78(2): 290–300.
- Pittman GF. 2004. Drivers of demand, interrelationships, and nutritional impacts within the nonalcoholic beverage complex, Texas A&M University.
- Prescott R. 2013. Soft drinks industry rejects proposal to tax sugary soft drinks. FoodBev.com.
- Press Association. 2011. UK could introduce ‘fat tax’, says David Cameron. The Guardian.
- Raper KC, Wanzala MN, Nayga RM. 2002. Food expenditures and household demographic composition in the US: a demand systems approach. Applied Economics 34(8): 981–992.
- Smed S, Jensen JD, Denver S. 2007. Socio-economic characteristics and the effect of taxation as a health policy instrument. Food Policy 32(5–6): 624–639.
- Smith T, Lin BH, Lee J-Y. 2010. Taxing caloric sweetened beverages: potential effects on beverage consumption, calorie intake, and obesity. USDA-ERS Economic Research Report(100).
- Sustain. 2013. A children's future fund: how food duties could provide the money to protect children's health and the world they grow up in.
- United Nations. 2011. Prevention and control of non-communicable diseases, United Nations.
- Vartanian LR, Schwartz MB, Brownell KD. 2007. Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. American Journal of Public Health 97(4): 667–675.
- WHO. 2000. International Guide for Monitoring Alcohol and Related Harm. World Health Organization: Geneva.
-
Yen ST,
Lin BH,
Smallwood DM,
Andrews M. 2004. Demand for nonalcoholic beverages: the case of low-income households. Agribusiness 20(3): 309–321.
10.1002/agr.20015 Google Scholar
- Zhen C, Finkelstein EA, Nonnemaker JM, Karns SA, Todd JE. 2014. Predicting the effects of sugar-sweetened beverage taxes on food and beverage demand in a large demand system. American Journal of Agricultural Economics 96(1): 1–25.
- Zhen C, Wohlgenant MK, Karns S, Kaufman P. 2011. Habit formation and demand for sugar-sweetened beverages. American Journal of Agricultural Economics 93(1): 175–193.
-
Zheng Y,
Kaiser HM. 2008. Advertising and US nonalcoholic beverage demand. Agricultural and Resource Economics Review 37(2): 147–159.
10.1017/S1068280500002963 Google Scholar




