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The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data

Author

Listed:
  • Lluc Puig-Codina

    (Universidad de Alicante)

  • Jaime Pinilla

    (University of Las Palmas de Gran Canaria)

  • Jaume Puig-Junoy

    (Barcelona School of Management, Pompeu Fabra University (BSM-UPF))

Abstract

Sugar-sweetened beverage (SSB) taxes related to the quantity of sugar have appeared as a popular regulatory tool around the world during the last decade showing important variations in their implementation and impact. We evaluated the impact of a new SSB tax implemented in Catalonia since May 1, 2017 on the purchased quantities and penetration rates of taxed and untaxed cola beverages. We use aggregate time series of cola beverages purchases in all 17 Spanish Autonomous Communities before and after the implementation of the SBB tax in Catalonia, from January 2013 to June 2019. A comparison between two different types of causal inference methods was conducted: a two-way fixed effects difference in differences model and a modified synthetic control model. Regular cola purchases decreased 12.1% and their penetration rate decreased by 1.27 points during the two post-intervention years using the preferred model. Diet cola purchases increased 17.0% and their penetration rate also increased by 1.65 points. Only regular cola results were robust to all placebo test checks. The SSB tax implemented in Catalonia in 2017 significantly reduced the volume and penetration rates of regular colas with no robust evidence for the substitution effect on diet colas.

Suggested Citation

  • Lluc Puig-Codina & Jaime Pinilla & Jaume Puig-Junoy, 2021. "The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 155-168, February.
    • Handle: RePEc:spr:eujhec:v:22:y:2021:i:1:d:10.1007_s10198-020-01246-0
    DOI: 10.1007/s10198-020-01246-0
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    1. Nicoletta Berardi & Patrick Sevestre & Marine Tépaut & Alexandre Vigneron, 2016. "The impact of a ‘soda tax’ on prices: evidence from French micro data," Applied Economics, Taylor & Francis Journals, vol. 48(41), pages 3976-3994, September.
    2. Hunt Allcott & Benjamin B Lockwood & Dmitry Taubinsky, 2019. "Regressive Sin Taxes, with an Application to the Optimal Soda Tax," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1557-1626.
    3. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    4. Prithviraj Lakkakula & Andrew Schmitz, 2019. "U.S. sweeteners: Combating excess consumption with an excise tax?," Agricultural Economics, International Association of Agricultural Economists, vol. 50(5), pages 543-554, September.
    5. Hagenaars, Luc Louis & Jeurissen, Patrick Paulus Theodoor & Klazinga, Niek Sieds, 2017. "The taxation of unhealthy energy-dense foods (EDFs) and sugar-sweetened beverages (SSBs): An overview of patterns observed in the policy content and policy context of 13 case studies," Health Policy, Elsevier, vol. 121(8), pages 887-894.
    6. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
    7. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    8. Jeffrey Grogger, 2017. "Soda Taxes And The Prices of Sodas And Other Drinks: Evidence From Mexico," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 481-498.
    9. Francesca Colantuoni & Christian Rojas, 2015. "The Impact Of Soda Sales Taxes On Consumption: Evidence From Scanner Data," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 714-734, October.
    10. Prithviraj Lakkakula, 2018. "Potential Impact of Sweetener Input Tax on Public Health," Applied Health Economics and Health Policy, Springer, vol. 16(6), pages 749-751, December.
    11. Lynn D Silver & Shu Wen Ng & Suzanne Ryan-Ibarra & Lindsey Smith Taillie & Marta Induni & Donna R Miles & Jennifer M Poti & Barry M Popkin, 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 Medicine, Public Library of Science, vol. 14(4), pages 1-19, April.
    12. Hunt Allcott & Benjamin B. Lockwood & Dmitry Taubinsky, 2019. "Should We Tax Sugar-Sweetened Beverages? An Overview of Theory and Evidence," Journal of Economic Perspectives, American Economic Association, vol. 33(3), pages 202-227, Summer.
    13. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    14. Gharehgozli, Orkideh, 2017. "An estimation of the economic cost of recent sanctions on Iran using the synthetic control method," Economics Letters, Elsevier, vol. 157(C), pages 141-144.
    15. M A Colchero & Carlos Manuel Guerrero-López & Mariana Molina & Juan Angel Rivera, 2016. "Beverages Sales in Mexico before and after Implementation of a Sugar Sweetened Beverage Tax," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-8, September.
    16. Falbe, J. & Thompson, H.R. & Becker, C.M. & Rojas, N. & McCulloch, C.E. & Madsen, K.A., 2016. "Impact of the Berkeley excise tax on sugar-sweetened beverage consumption," American Journal of Public Health, American Public Health Association, vol. 106(10), pages 1865-1871.
    17. James E. Pustejovsky & Elizabeth Tipton, 2018. "Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 672-683, October.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Rita Faria’s journal round-up for 8th February 2021
      by Rita Faria in The Academic Health Economists' Blog on 2021-02-08 12:00:01

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    Cited by:

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    More about this item

    Keywords

    Sugar-sweetened beverages; Taxes; Soda tax; Sugar consumption;
    All these keywords.

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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