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Non‐Pecuniary Effects of Sugar‐Sweetened Beverage Policies

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  • Sunjin Ahn
  • Jayson L. Lusk

Abstract

Debate about the economic impacts of sugar‐sweetened beverage (SSB) taxes have largely focused on pecuniary effects, but evidence has emerged that taxes could also convey information about what consumers “should” be doing. Disentangling the pecuniary and non‐pecuniary (or non‐price) effects using market data is a significant challenge. To address this issue, we study consumer choices in a simulated market environment in experimental conditions where we vary the reasons respondents are given for the cause of the price hike. We also study responses to a ban on large‐sized sodas, where the stated causes of the ban are randomly varied across respondents. We utilized random parameter logit models and use difference‐in‐difference estimates to identify the non‐pecuniary effect of a SSB tax and a large soda ban on SSB market shares. Our initial study, conducted in 2016, revealed significant non‐pecuniary effects, with soda choices falling less dramatically when subjects knew prices increased because of a soda tax. However, replications and extensions conducted in 2019 show no consistent non‐pecuniary effects. There is considerable heterogeneity across respondents in the difference‐in‐difference estimates, which is only partially explained by demographic or measured attitudinal variables. Results of this study emphasize the importance of carrying out replications and suggest, at least in the context of our experiment, non‐pecuniary effects are small relative to the traditional economic drivers.

Suggested Citation

  • Sunjin Ahn & Jayson L. Lusk, 2021. "Non‐Pecuniary Effects of Sugar‐Sweetened Beverage Policies," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 53-69, January.
  • Handle: RePEc:wly:ajagec:v:103:y:2021:i:1:p:53-69
    DOI: 10.1111/ajae.12134
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    References listed on IDEAS

    as
    1. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    2. Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
    3. Trey Malone & Jayson L. Lusk, 2019. "Releasing The Trap: A Method To Reduce Inattention Bias In Survey Data With Application To U.S. Beer Taxes," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 584-599, January.
    4. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    5. David R. Just & Andrew S. Hanks, 2015. "The Hidden Cost of Regulation: Emotional Responses to Command and Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1385-1399.
    6. 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.
    7. Rebecca L. C. Taylor & Scott Kaplan & Sofia B. Villas‐Boas & Kevin Jung, 2019. "Soda Wars: The Effect Of A Soda Tax Election On University Beverage Sales," Economic Inquiry, Western Economic Association International, vol. 57(3), pages 1480-1496, July.
    8. Tenaw G. Abate & Morten R. Mørkbak & Søren B. Olsen, 2018. "Inducing value and institutional learning effects in stated choice experiments using advanced disclosure and instructional choice set treatments," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 339-351, May.
    9. Lusk, Jayson L. & Pruitt, J.R. & Norwood, Bailey, 2006. "External validity of a framed field experiment," Economics Letters, Elsevier, vol. 93(2), pages 285-290, November.
    10. Lusk Jayson L, 2010. "The Effect of Proposition 2 on the Demand for Eggs in California," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-20, April.
    11. Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
    12. Fletcher, Jason M. & Frisvold, David E. & Tefft, Nathan, 2010. "The effects of soft drink taxes on child and adolescent consumption and weight outcomes," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 967-974, December.
    13. Laurent Muller & Anne Lacroix & Jayson L. Lusk & Bernard Ruffieux, 2017. "Distributional Impacts of Fat Taxes and Thin Subsidies," Economic Journal, Royal Economic Society, vol. 127(604), pages 2066-2092, September.
    14. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 16-29.
    15. Costanigro, Marco & Lusk, Jayson L., 2014. "The signaling effect of mandatory labels on genetically engineered food," Food Policy, Elsevier, vol. 49(P1), pages 259-267.
    16. T.S. Jayne & Lawrence Rubey & Frank Lupi & David Tschirley & Michael T. Weber, 1996. "Estimating Consumer Response to Food Market Reform Using Stated Preference Data: Evidence from Eastern and Southern Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 820-824.
    17. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    18. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    19. repec:oup:ajagec:v:99:y:2017:i:1:p:1-23. is not listed on IDEAS
    20. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    21. Chen, Xiu & Kaiser, Harry M. & Rickard, Bradley J., 2015. "The impacts of inclusive and exclusive taxes on healthy eating: An experimental study," Food Policy, Elsevier, vol. 56(C), pages 13-24.
    22. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    23. Cornelsen, Laura & Smith, Richard D., 2018. "Viewpoint: Soda taxes – Four questions economists need to address," Food Policy, Elsevier, vol. 74(C), pages 138-142.
    24. D Adeline Yeh & Miguel I Gómez & Harry M Kaiser, 2019. "Signaling impacts of GMO labeling on fruit and vegetable demand," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-16, October.
    25. Kathleen Brooks & Jayson L. Lusk, 2010. "Stated and Revealed Preferences for Organic and Cloned Milk: Combining Choice Experiment and Scanner Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1229-1241.
    26. Brian A Bourquard & Steven Y Wu, 2020. "An Analysis of Beverage Size Restrictions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 169-185, January.
    27. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
    28. Finkelstein, Eric A. & Zhen, Chen & Bilger, Marcel & Nonnemaker, James & Farooqui, Assad M. & Todd, Jessica E., 2013. "Implications of a sugar-sweetened beverage (SSB) tax when substitutions to non-beverage items are considered," Journal of Health Economics, Elsevier, vol. 32(1), pages 219-239.
    29. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    30. Laurent Muller & Anne Lacroix & Jayson L. Lusk & Bernard Ruffieux, 2017. "Distributional Impacts of Fat Taxes and Thin Subsidies," Economic Journal, Royal Economic Society, vol. 127(604), pages 2066-2092, September.
    31. Yuqing Zheng & Edward W. McLaughlin & Harry M. Kaiser, 2013. "Taxing Food and Beverages: Theory, Evidence, and Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(3), pages 705-723.
    32. Jason M. Fletcher & David E. Frisvold & Nathan Tefft, 2015. "Non‐Linear Effects of Soda Taxes on Consumption and Weight Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 566-582, May.
    33. 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.
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    2. Nuño Ledesma José G. & Wu Steven Y. & Balagtas Joseph V., 2022. "Nonlinear Pricing Under Regulation: Comparing Cap Rules and Taxes in the Laboratory," Working Papers 2022-10, Banco de México.
    3. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).

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