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Price elasticity of demand for ready-to-drink sugar-sweetened beverages in Brazil

Author

Listed:
  • Auberth Henrik Venson
  • Larissa Barbosa Cardoso
  • Flaviane Souza Santiago
  • Kênia Barreiro de Souza
  • Renata Moraes Bielemann

Abstract

The taxation of sugar-sweetened beverages is a policy that has been adopted in many countries worldwide, including Latin American, to reduce sugar consumption. However, little is known about how taxation on these products may affect their demand. The present study aims to estimate the price elasticity of demand for sugar-sweetened beverages in Brazil. This study advances the literature by proposing a breakdown between ready-to-drink sugar-sweetened beverages and sugar-sweetened beverages that require some preparation before being consumed. With this disaggregation, it is possible to obtain more accurate elasticities for the group of products that will be effectively taxed. We estimated a Quadratic Almost Ideal Demand System (QUAIDS) model using the Household Budget Survey 2017–2018 microdata. The results show that ready-to-drink beverages is more consumed but less sensitive to changes in price than prepared beverages. The price elasticity of demand for ready-to-drink and prepared sugar-sweetened beverages was -1.19 and -3.38. Additionally, we observe heterogeneity in these price elasticities across household incomes, with a more elastic demand among lower-income households for ready to drink beverages. The findings suggest that taxing ready-to-drink sweetened beverages could potentially reduce sugar consumption directly through a decrease in the consumption of sugary drinks and this effect could be reinforced by reducing the consumption of other sugar-rich products. Therefore, the taxation police should effective contribute to minimize health risks associated to the sugar consumption.

Suggested Citation

  • Auberth Henrik Venson & Larissa Barbosa Cardoso & Flaviane Souza Santiago & Kênia Barreiro de Souza & Renata Moraes Bielemann, 2023. "Price elasticity of demand for ready-to-drink sugar-sweetened beverages in Brazil," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-15, November.
  • Handle: RePEc:plo:pone00:0293413
    DOI: 10.1371/journal.pone.0293413
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    References listed on IDEAS

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    1. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    2. Maceira, Daniel & Palacios, Alfredo & Espinola, Natalia & Mejía, Raúl, 2018. "Demand Price Elasticity and Taxes on the Consumption of Sugar Sweetened Beverages in Argentina," MPRA Paper 102485, University Library of Munich, Germany.
    3. Toshinobu Matsuda, 2006. "Linear approximations to the quadratic almost ideal demand system," Empirical Economics, Springer, vol. 31(3), pages 663-675, September.
    4. McKelvey, Christopher, 2011. "Price, unit value, and quality demanded," Journal of Development Economics, Elsevier, vol. 95(2), pages 157-169, July.
    5. Colchero, M.A. & Salgado, J.C. & Unar-Munguía, M. & Hernández-Ávila, M. & Rivera-Dommarco, J.A., 2015. "Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico," Economics & Human Biology, Elsevier, vol. 19(C), pages 129-137.
    6. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    7. 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.
    8. Brian Coffey & Ted Schroeder & Thomas Marsh, 2011. "Disaggregated household meat demand with censored data," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2343-2363.
    9. Sharon S Nakhimovsky & Andrea B Feigl & Carlos Avila & Gael O’Sullivan & Elizabeth Macgregor-Skinner & Mark Spranca, 2016. "Taxes on Sugar-Sweetened Beverages to Reduce Overweight and Obesity in Middle-Income Countries: A Systematic Review," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-22, September.
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