Chile’s 2014 sugar-sweetened beverage tax and changes in prices and purchases of sugar-sweetened beverages: An observational study in an urban environment

PLoS Medicine

Volumn 15, Issue 7, 2018, Pages

  Caro, Juan Carlos ^a,b   Corvalán, Camila ^a   Reyes, Marcela ^a   Silva, Andres ^c   Popkin, Barry ^d   Taillie, Lindsey Smith ^d  

^a UNIVERSITY OF CHILE   (Chile)

^b University of North Carolina at Chapel Hill   (United States)

^c UNIVERSIDAD CENTRAL DE CHILE   (Chile)

^d University of North Carolina   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASCORBIC ACID; CALCIUM; FLAVORING AGENT; FOOD ADDITIVE; LACTOSE; SWEETENING AGENT; WATER;

ARTICLE; CALORIE; CARBONATED BEVERAGE; CHILE; COMPARATIVE STUDY; COST BENEFIT ANALYSIS; DAIRY PRODUCT; DESCRIPTIVE RESEARCH; FINANCIAL MANAGEMENT; FOOD PACKAGING; HIGH-SUCROSE DIET; HUMAN; MARKET; NON COMMUNICABLE DISEASE; NUTRITIONAL VALUE; OBESITY MANAGEMENT; OBSERVATIONAL STUDY; PREVALENCE; SENSITIVITY ANALYSIS; SOCIAL STATUS; SUGAR-SWEETENED BEVERAGE; TAX; ADMINISTRATION AND DOSAGE; BEVERAGE; CALORIC INTAKE; COMMERCIAL PHENOMENA; CONSUMER ATTITUDE; DECISION MAKING; ECONOMICS; FEEDING BEHAVIOR; GOVERNMENT REGULATION; LEGISLATION AND JURISPRUDENCE; MANAGEMENT; NUTRITION POLICY; SUGAR INTAKE; TIME FACTOR; TRENDS; URBAN POPULATION;

BEVERAGES; CHILE; CHOICE BEHAVIOR; COMMERCE; CONSUMER BEHAVIOR; DIETARY SUGARS; ENERGY INTAKE; FEEDING BEHAVIOR; GOVERNMENT REGULATION; HUMANS; NUTRITION POLICY; POLICY MAKING; TAXES; TIME FACTORS; URBAN POPULATION;

EID: 85051126615     PISSN: 15491277     EISSN: 15491676     Source Type: Journal    
DOI: 10.1371/journal.pmed.1002597     Document Type: Article

References (48)

1. Mytton OT, Clarke D, Rayner M, (2012) Taxing unhealthy food and drinks to improve health. BMJ344: e2931. doi: 10.1136/bmj.e2931 pmid: 22589522
2. Brownell KD, Farley T, Willett WC, Popkin BM, Chaloupka FJ, et al. (2009) The public health and economic benefits of taxing sugar-sweetened beverages. N Engl J Med361: 1599–1605. doi: 10.1056/NEJMhpr0905723 pmid: 19759377
3. 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. Am J Public Health100: 216–222. doi: 10.2105/AJPH.2008.151415 pmid: 20019319
4. Caro JC, Ng SW, Taillie LS, Popkin B, (2017) Designing a tax to discourage unhealthy food and beverage purchases: The case of Chile. Food Policy71: 86–100. doi: 10.1016/j.foodpol.2017.08.001 pmid: 29375180
5. Colchero M, Salgado J, Unar M, Hernández-Ávila M, Rivera-Dommarco J, (2015) Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico. Econ Hum Biol19: 129–137. doi: 10.1016/j.ehb.2015.08.007 pmid: 26386463
6. Paraje G, (2016) The Effect of Price and Socio-Economic Level on the Consumption of Sugar-Sweetened Beverages (SSB): The Case of Ecuador. PLoS ONE11: e0152260. doi: 10.1371/journal.pone.0152260 pmid: 27028608
7. Silver LD, Ng SW, Ryan-Ibarra S, Taillie LS, Induni M, et al. (2017) Changes in prices, sales, consumer spending, and beverage consumption one year after a tax on sugar-sweetened beverages in Berkeley, California, US: A before-and-after study. PLoS Med14(4): e1002283. doi: 10.1371/journal.pmed.1002283 pmid: 28419108
8. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, et al. (2016) Impact of the Berkeley excise tax on sugar-sweetened beverage consumption. Am J Public Health106: 1865–1871. doi: 10.2105/AJPH.2016.303362 pmid: 27552267
9. Colchero A, Rivera JA, Popkin BM, Ng SW, (2016) Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: Observational study. BMJ352: h6704. doi: 10.1136/bmj.h6704 pmid: 26738745
10. Colchero MA, Rivera-Dommarco J, Popkin B, Ng SW, (2017) In Mexico, evidence of sustained consumer response two years after implementing a sugar-sweetened beverage tax. Health Aff36: 564–571.
11. Zhong Y, Auchincloss AH, Lee BK, Kanter GP, (2018) The Short-Term Impacts of the Philadelphia Beverage Tax on Beverage Consumption. American journal of preventive medicine.
12. Cawley J, Frisvold DE, (2017) The Pass-Through of Taxes on Sugar-Sweetened Beverages to Retail Prices: The Case of Berkeley, California. Journal of Policy Analysis and Management36: 303–326.
13. Erickson J, (2012) Moving Mexico back to tap water: strategies to restore confidence in the water system. Policy Matters J10: 40–49.
14. Sapunar J, (2016) Epidemiología de La Diabetes Mellitus en Chile [Epidemiology of Diabetes Mellitus in Chile]. Revista Médica Clínica Las Condes27: 146–151.
15. Eduardo Atalah S, (2012) Epidemiología de la obesidad en Chile [Epidemiology of obesity in Chile]. Revista Médica Clínica Las Condes23: 117–123.
16. Corvalán C, Garmendia ML, Jones-Smith J, Lutter CK, Miranda JJ, et al. (2017) Nutrition status of children in Latin America. Obes Rev18: 7–18.
17. Popkin BM, Hawkes C, (2015) Sweetening of the global diet, particularly beverages: patterns, trends, and policy responses. The Lancet Diabetes Endocrinol4: 174–186. doi: 10.1016/S2213-8587(15)00419-2 pmid: 26654575
18. Bridging the Gap Program (2014) State Sales Taxes on Regular Soda (as of January 2014).
19. Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ, (2013) Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev14: 110–128. doi: 10.1111/obr.12002 pmid: 23174017
20. Instituto Nacional de Estadística de Chile (2013) VII Encuesta de Presupuestos Familiares: metodología.
21. Kanter R, Reyes M, Corvalan C, (2017) Photographic methods for measuring packaged food and beverage products in supermarkets. Curr Dev Nutr.
22. Sanchez M, Oliva D, Kanter R, Reyes M, Corvalán C (2017) Photo taking protocol: for the monitoring of labels from packaged food products in supermarkets, small stores and elsewhere. Center for the Prevention of Obesity and Chronic Diseases (CEPOC). Institute of Nutrition and Food Technology (INTA)-University of Chile,.
23. Swinburn B, Sacks G, Vandevijvere S, Kumanyika S, Lobstein T, et al. (2013) INFORMAS (International Network for Food and Obesity/non-communicable diseases research, monitoring and action support): overview and key principles. Obes Rev14: 1–12.
24. Neal B, Sacks G, Swinburn B, Vandevijvere S, Dunford E, et al. (2013) Monitoring the levels of important nutrients in the food supply. Obes Rev14: 49–58. doi: 10.1111/obr.12075 pmid: 24074210
25. Ng SW, Dunford E,. (2013) Complexities and opportunities in monitoring and evaluating US and global changes by the food industry. Obes Rev14: 29–41.
26. Dunford E, Webster J, Metzler AB, Czernichow S, Mhurchu CN, et al. (2012) International collaborative project to compare and monitor the nutritional composition of processed foods. Eur J Prev Cardiol19: 1326–1332. doi: 10.1177/1741826711425777 pmid: 21971487
27. Asociación de Investigadores de Mercado [Association of Market Research] (2017) Classification of Socioeconomic Status for Market Research.
28. Hawkes C, Alderman H, Chaloupka F, Harris J, Kumanyika S, et al. (2017) Principles behind evaluations of national food and beverage taxes and other regulatory efforts. Obesity Reviews18: 1374–1375. doi: 10.1111/obr.12594 pmid: 28925079
29. Stock JH, Watson MW, (1989) New indexes of coincident and leading economic indicators. NBER macroeconomics annual4: 351–394.
30. Instituto Nacional de Estadística de Chile [National Institute of Statistics] (2017) Estadisticas sociales, demograficas y economicas [Social, demographic and economic statistics]. www.ine.cl
31. Deaton A, (1988) Quality, quantity, and spatial variation of price. Am Econ Rev78: 418–430.
32. Colchero M, Salgado J, Unar-Munguia M, Molina M, Ng S, et al. (2015) Changes in prices after an excise tax to sweetened sugar beverages was implemented in Mexico: Evidence from urban areas. PLoS ONE10: e0144408. doi: 10.1371/journal.pone.0144408 pmid: 26675166
33. Abdi H, (2007) Bonferroni and Šidák corrections for multiple comparisons. Encyclopedia of measurement and statistics3: 103–107.
34. Duan N, (1983) Smearing estimate: A nonparametric retransformation method. J Am Stat Assoc78: 605–610.
35. Chamberlain G, (1984) Panel data. Handbook of econometrics2: 1247–1318.
36. Mundlak Y, (1978) On the pooling of time series and cross section data. Econometrica: journal of the Econometric Society: 69–85.
37. Arellano M, Bond S, (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud58: 277–297.
38. Akaike H, (1981) Likelihood of a model and information criteria. Journal of econometrics16: 3–14.
39. Colchero MA, Zavala JA, Batis C, Shamah-Levy T, Rivera-Dommarco JA, (2017) Changes in prices of taxed sugar-sweetened beverages and nonessential energy dense food in rural and semi-rural areas in Mexico. Salud Pública de México59: 137–146. pmid: 28562714
40. Guerrero-López CM, Unar-Munguía M, Colchero MA, (2017) Price elasticity of the demand for soft drinks, other sugar-sweetened beverages and energy dense food in Chile. BMC Public Health17: 180. doi: 10.1186/s12889-017-4098-x pmid: 28183287
41. Fowler SP, Williams K, Resendez RG, Hunt KJ, Hazuda HP, et al. (2008) Fueling the obesity epidemic? Artificially sweetened beverage use and long-term weight gain. Obesity16: 1894–1900. doi: 10.1038/oby.2008.284 pmid: 18535548
42. Donaldson E, (2015) Advocating for sugar-sweetened beverage taxation: a case study of Mexico.
43. Popkin BM, Hawkes C, (2015) Sweetening of the global diet, particularly beverages: patterns, trends, and policy responses. The Lancet Diabetes & Endocrinology.
44. Schwartz M, Schneider G, Yoon-Young C, Harris J, Andreyeva T, et al. (2017) Association of a community campaign for better beverage choices with beverage purchases from supermarkets. JAMA Intern Med177: 666–674. doi: 10.1001/jamainternmed.2016.9650 pmid: 28264077
45. Chance WA, French ND, (1972) An exploratory investigation of brand switching. Journal of Marketing Research9: 226–229.
46. Etilé F, Sharma A, (2015) Do high consumers of sugar-sweetened beverages respond differently to price changes? A finite mixture IV-Tobit Approach. Health Econ24: 1147–1163. doi: 10.1002/hec.3157 pmid: 25676493
47. Euromonitor (2017) Euromonitor International.
48. Stoltze FM, Barker JO, Kanter R, Corvalán C, Reyes M, et al. (2017) Prevalence of child-directed and general audience marketing strategies on the front of beverage packaging: The case of Chile. Public Health Nutr21: 1–11.