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Taxing sugar sweetened beverages in Indonesia: Projections of demand change and fiscal revenue

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  • Agus Widarjono
  • Rifai Afin
  • Gita Kusnadi
  • Muhammad Zulfiqar Firdaus
  • Olivia Herlinda

Abstract

The global trend of diets high in sugar sweetened beverages (SSB) is associated with a high risk of obesity and non-communicable diseases (NCDs). To reduce SSB consumption on a population level, SSB taxes have become a popular policy solution. In Indonesia, although the prevalence of obesity has doubled in the past decade (11.7% in 2010 to 21.8% in 2018), SSB taxes have not yet been implemented. Utilizing the 2021 Indonesian household socioeconomic survey (SUSENAS), this study estimated price elasticities and projected the plausible effects of implementing an SSB tax on consumers’ demand for SSBs and the associated government revenue using the Quadratic Almost Ideal Demand System (QUAIDS) model. Five SSB groups were studied: 1) manufactured liquid milk; 2) sweetened condense milk; 3) instant coffee; 4) tea drinks and fizzy drinks with CO2; 5) fruit juices, “health” drinks, and energy drinks. The overall results showed that the non-milk SSB groups were price elastic. Probing deeper into the substitutions for SSB across categories, we found both substitutionary and complementary effects. Our analysis revealed that increasing SSB prices by 20% would reduce the demand for SSBs on average by 17.5% (14.3%-18.6% for each SSB group) and generate additional state revenue up to IDR 3,628.3 billion per year (approximately US$ 238.5 million or 0.2% of total tax revenue in 2022). Considering the health and economic impacts of high consumption of SSBs, this study provides empirical evidence that imposing taxes on SSBs could be an effective measure to reduce public consumption and to generate tax revenue for financing health programs that address obesity and NCDs in Indonesia.

Suggested Citation

  • Agus Widarjono & Rifai Afin & Gita Kusnadi & Muhammad Zulfiqar Firdaus & Olivia Herlinda, 2023. "Taxing sugar sweetened beverages in Indonesia: Projections of demand change and fiscal revenue," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-11, December.
  • Handle: RePEc:plo:pone00:0293913
    DOI: 10.1371/journal.pone.0293913
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    References listed on IDEAS

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    1. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    2. Juan Carlos Caro & Shu Wen Ng & Ricardo Bonilla & Jorge Tovar & Barry M Popkin, 2017. "Sugary drinks taxation, projected consumption and fiscal revenues in Colombia: Evidence from a QUAIDS model," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    3. Helen Jensen & Justo Manrique, 1998. "Demand for food commodities by income groups in Indonesia," Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 491-501.
    4. 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.
    5. 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.
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    1. Ahsan, Abdillah & Djutaharta, Triasih & Utami, Maulida Gadis & Ayuning Pertiwi, Yuyu Buono & Diniary, Anggiana & Amalia, Nadira & Solarin, Sakiru Adebola & Ramanathan, Santhi, 2025. "The correlation of caloric intake from sugar-sweetened beverage (SSB) on type 2 diabetes mellitus (T2DM) risk in Indonesia," Social Science & Medicine, Elsevier, vol. 372(C).

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