Grocery food taxes and U.S. county obesity and diabetes rates

Springer Science and Business Media LLC - Tập 11 - Trang 1-9 - 2021
Lingxiao Wang1, Yuqing Zheng1, Steven Buck1, Diansheng Dong2, Harry M. Kaiser3
1Department of Agricultural Economics, University of Kentucky, Lexington, USA
2Department of Agriculture, Economic Research Service, U.S, Washington, USA
3The Charles H. Dyson School of Applied Economics and Management, Cornell University, Ithaca, USA

Tóm tắt

Grocery food taxes represent a stable tax revenue stream for state and municipal government during times of adverse economic shocks such as that observed under the coronavirus disease 2019 (COVID-19) pandemic. Previous research, however, suggests a possible mechanism through which grocery taxes may adversely affect health. Our objectives are to document the spatial and temporal variation in grocery taxes and to empirically examine the statistical relationship between county-level grocery taxes and obesity and diabetes. We collect and assemble a novel national dataset of annual county and state-level grocery taxes from 2009 through 2016. We link this data to three-year, county-level estimates based on data from the Centers for Disease Control and Prevention on rates of obesity and diabetes and provide a nation-wide spatial characterization of grocery taxes and these two health outcomes. Using a county-level fixed effects estimator, we estimate the effect of grocery taxes on obesity and diabetes rates, also controlling for a subset of potential confounders that vary over time. We find a 1 percentage point increase in grocery taxes is associated with 0.588 and 0.215 percentage point increases in the county-level obesity and diabetes rates. Counties with grocery taxes have increased prevalence of obesity and diabetes. We estimate the economic burden of increased obesity and diabetes rates resulting from grocery taxes to be $5.9 billion. Based on this estimate, the benefit-cost ratio of removing grocery taxes across the United States only considering the effects on obesity and diabetes rates is 1.90.

Tài liệu tham khảo

Cook JT, Frank DA, Berkowitz C, Black MM, Casey PH, Cutts DB, et al. Food insecurity is associated with adverse health outcomes among human infants and toddlers. J Nutr. 2004;134(6):1432–8. Dunifon R, Kowaleski-Jones L. The influences of participation in the National School Lunch Program and food insecurity on child well-being. Soc Serv Rev. 2003;77(1):72–92. Weinreb L, Wehler C, Perloff J, Scott R, Hosmer D, Sagor L, et al. Hunger: its impact on children’s health and mental health. Pediatrics. 2002;110(4):e41–e. Alaimo K, Olson CM, Frongillo EA. Low family income and food insufficiency in relation to overweight in US children: is there a paradox? Archives of pediatrics & adolescent medicine. 2001;155(10):1161–7. Slack KS, Yoo J. Food hardship and child behasvior problems among low-income children. Soc Serv Rev. 2005;79(3):511–36. Whitaker RC, Phillips SM, Orzol SM. Food insecurity and the risks of depression and anxiety in mothers and behavior problems in their preschool-aged children. Pediatrics. 2006;118(3):e859–e68. Fletcher JM, Frisvold DE, Tefft N. The effects of soft drink taxes on child and adolescent consumption and weight outcomes. J Public Econ. 2010;94(11–12):967–74. Sturm R, Powell LM, Chriqui JF, Chaloupka FJ. Soda taxes, soft drink consumption, and children’s body mass index. Health Aff. 2010;29(5):1052–8. French SA. Pricing effects on food choices. J Nutr. 2003;133(3):841S–3S. Powell LM, Chaloupka FJ, Bao Y. The availability of fast-food and full-service restaurants in the United States: associations with neighborhood characteristics. Am J Prev Med. 2007;33(4):S240–S5. Rydell SA, Harnack LJ, Oakes JM, Story M, Jeffery RW, French SA. Why eat at fast-food restaurants: reported reasons among frequent consumers. J Am Diet Assoc. 2008;108(12):2066–70. Khan T, Powell LM, Wada R. Fast food consumption and food prices: evidence from panel data on 5th and 8th grade children. J Obes. 2012;2012. Dong D, Zheng Y, Stewart H. The effects of food sales taxes on household food spending: an application of a censored cluster model. Agric Econ. 2020;51(5):669–84. Zheng Y, Dong D, Burney S, Kaiser HM. Eat at Home or Away from Home? The Role of Grocery and Restaurant Food Sales Taxes. Journal of Agricultural and Resource Economics. 2019;44(1). Chou S-Y, Grossman M, Saffer H. An economic analysis of adult obesity: results from the behavioral risk factor surveillance system. J Health Econ. 2004;23(3):565–87. Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR Jr, et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005;365(9453):36–42. Darmon N, Drewnowski A. Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis. Nutr Rev. 2015;73(10):643–60. Popkin BM. Nutrition transition and the global diabetes epidemic. Current diabetes reports. 2015;15(9):64. Finkelstein EA, Ruhm CJ, Kosa KM. Economic causes and consequences of obesity. Annu Rev Public Health. 2005;26:239–57. McLaren L. Socioeconomic status and obesity. Epidemiol Rev. 2007;29(1):29–48. Cohen AK, Rai M, Rehkopf DH, Abrams B. Educational attainment and obesity: a systematic review. Obes Rev. 2013;14(12):989–1005. Pickett KE, Kelly S, Brunner E, Lobstein T, Wilkinson RG. Wider income gaps, wider waistbands? An ecological study of obesity and income inequality. J Epidemiol Community Health. 2005;59(8):670–4. Kanter R, Caballero B. Global gender disparities in obesity: a review. Adv Nutr. 2012;3(4):491–8. Wolf AM, Gortmaker SL, Cheung L, Gray HM, Herzog DB, Colditz GA. Activity, inactivity, and obesity: racial, ethnic, and age differences among schoolgirls. Am J Public Health. 1993;83(11):1625–7. Courtemanche C, Tchernis R, Ukert B. The effect of smoking on obesity: evidence from a randomized trial. J Health Econ. 2018;57:31–44. Sayon-Orea C, Martinez-Gonzalez MA, Bes-Rastrollo M. Alcohol consumption and body weight: a systematic review. Nutr Rev. 2011;69(8):419–31. Wiggins S, Keats S, Han E, Shimokawa S, Alberto J, Hernández V, et al. The rising cost of a healthy diet. Changing relative prices of foods in high-income and emerging economies. London: Overseas Development Institute; 2015. Jetter KM, Cassady DL. The availability and cost of healthier food alternatives. Am J Prev Med. 2006;30(1):38–44. Harris JL, Pomeranz JL, Lobstein T, Brownell KD. A crisis in the marketplace: how food marketing contributes to childhood obesity and what can be done. Annu Rev Public Health. 2009;30:211–25. Vandegrift D, Yoked T. Obesity rates, income, and suburban sprawl: an analysis of US states. Health & Place. 2004;10(3):221–9. Ng SW, Popkin BM. Time use and physical activity: a shift away from movement across the globe. Obes Rev. 2012;13(8):659–80. Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults: a systematic review of longitudinal studies, 1996–2011. Am J Prev Med. 2011;41(2):207–15. Barnett A, Eff C, Leslie RD, Pyke D. Diabetes in identical twins. Diabetologia. 1981;20(2):87–93. Marx J. Unraveling the causes of diabetes. Science. 2002;296(5568):686. Zimmet P. Type 2 (non-insulin-dependent) diabetes—an epidemiological overview. Diabetologia. 1982;22(6):399–411. Ezzati M, Lopez AD, Rodgers AA, Murray CJ. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors: World Health Organization; 2004. Centers for Disease Control Prevention. Behavioral risk factor surveillance system survey data. Atlanta, Georgia: US Department of Health and Human Services, Centers for Disease Control and Prevention 2016. Centers for Disease Control and Prevention. Methods and references for county-level estimates and ranks and state-level modeled estimates. 2018. U.S. Census Bureau. County business patterns. 2018. Feeding America. Map the meal gap: hunger & poverty in the United States. 2018. U.S. Census Bureau. Population estimates program. 2018. U.S. Bureau of Economic Analysis. Regional economic information system (REIS). 2017. U.S. Bureau of Justice Statistics. Uniform crime reporting (UCR) program. 2018. Cameron AC, Miller DL. A practitioner’s guide to cluster-robust inference. J Hum Resour. 2015;50(2):317–72. Association AD. Economic costs of diabetes in the US in 2017. Diabetes Care. 2018;41(5):917–28. Kornfield R, Huang J, Vera L, Emery SL. Rapidly increasing promotional expenditures for e-cigarettes. Tob Control. 2015;24(2):110–1.