IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v225y2019icp98-107.html
   My bibliography  Save this article

Sugar-sweetened beverage price elasticities in a hypothetical convenience store

Author

Listed:
  • Blake, Miranda R.
  • Lancsar, Emily
  • Peeters, Anna
  • Backholer, Kathryn

Abstract

An increase in sugar-sweetened beverage (SSB) prices has been suggested to reduce SSB intake to improve population health. Using a discrete choice experiment, we tested the effect of price changes on beverage choices in an online hypothetical convenience store setting amongst 1,008 Australian adults in May to June 2016. From this we calculated pre-packaged beverage price elasticities overall and for health policy-target consumer subgroups; and identified consumer subgroups likely to be most reactive to beverage price changes. Using mixed logit analysis, we found similar price elasticities for age, gender and income groups. More frequent SSB consumers tended to be less sensitive to SSB price changes. Latent class analysis revealed five consumer groups, none of which fit the desirable policy-target of highly price sensitive, frequent SSB consumers. An improved understanding of responsiveness to beverage price changes and consumer preferences could improve predictions of whose health is likely to benefit most from pricing interventions.

Suggested Citation

  • Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
  • Handle: RePEc:eee:socmed:v:225:y:2019:i:c:p:98-107
    DOI: 10.1016/j.socscimed.2019.02.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953619300887
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2019.02.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daniel John Zizzo & Melanie Parravano & Ryota Nakamura & Suzanna Forwood & Marc Suhrcke, 2016. "The impact of taxation and signposting on diet: an online field study with breakfast cereals and soft drinks," Working Papers 131cherp, Centre for Health Economics, University of York.
    2. Pierre Dubois & Rachel Griffith & Martin O'Connell, 2020. "How Well Targeted Are Soda Taxes?," American Economic Review, American Economic Association, vol. 110(11), pages 3661-3704, November.
    3. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    4. de Vos, Klaas & Zaidi, M Asghar, 1997. "Equivalence Scale Sensitivity of Poverty Statistics for the Member States of the European Community," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(3), pages 319-333, September.
    5. Fabrice Etilé & Anurag Sharma, 2015. "Do High Consumers of Sugar‐Sweetened Beverages Respond Differently to Price Changes? A Finite Mixture IV‐Tobit Approach," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1147-1163, September.
    6. Denzil G. Fiebig & Stephanie Knox & Rosalie Viney & Marion Haas & Deborah J. Street, 2011. "Preferences for new and existing contraceptive products," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 35-52, September.
    7. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    8. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    9. Harding, Matthew & Lovenheim, Michael, 2017. "The effect of prices on nutrition: Comparing the impact of product- and nutrient-specific taxes," Journal of Health Economics, Elsevier, vol. 53(C), pages 53-71.
    10. Norbert Schulz & Gunnar Breustedt & Uwe Latacz-Lohmann, 2014. "Assessing Farmers' Willingness to Accept “Greening”: Insights from a Discrete Choice Experiment in Germany," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 26-48, January.
    11. Anurag Sharma & Katharina Hauck & Bruce Hollingsworth & Luigi Siciliani, 2014. "The Effects Of Taxing Sugar‐Sweetened Beverages Across Different Income Groups," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1159-1184, September.
    12. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    14. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    15. Emily Lancsar & Joffre Swait, 2014. "Reconceptualising the External Validity of Discrete Choice Experiments," PharmacoEconomics, Springer, vol. 32(10), pages 951-965, October.
    16. Nghiem, N. & Wilson, N. & Genç, M. & Blakely, T., 2013. "Understanding price elasticities to inform public health research and intervention studies: Key issues," American Journal of Public Health, American Public Health Association, vol. 103(11), pages 1954-1961.
    17. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    18. 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.
    19. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    20. Peter Ghijben & Emily Lancsar & Silva Zavarsek, 2014. "Preferences for Oral Anticoagulants in Atrial Fibrillation: a Best–Best Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 32(11), pages 1115-1127, November.
    21. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2016. "Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data," Melbourne Institute Working Paper Series wp2016n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    22. Zheng, Yuqing & Kaiser, Harry M., 2008. "Advertising and U. S. Nonalcoholic Beverage Demand," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(2), pages 147-159, October.
    23. Daniele Pacifico & Hong il Yoo, 2013. "lclogit: A Stata command for fitting latent-class conditional logit models via the expectation-maximization algorithm," Stata Journal, StataCorp LP, vol. 13(3), pages 625-639, September.
    24. Laura Cornelsen & Rosemary Green & Rachel Turner & Alan D. Dangour & Bhavani Shankar & Mario Mazzocchi & Richard D. Smith, 2015. "What Happens to Patterns of Food Consumption when Food Prices Change? Evidence from A Systematic Review and Meta‐Analysis of Food Price Elasticities Globally," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1548-1559, December.
    25. Klaas de Vos & M. Asghar Zaidi, 1997. "Equivalence Scale Sensitivity Of Poverty Statistics For The Member States Of The European Community," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(3), pages 319-333, September.
    26. 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.
    27. David F. Layton & Gardner Brown, 2000. "Heterogeneous Preferences Regarding Global Climate Change," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 616-624, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Buckell, John & White, Justin S. & Shang, Ce, 2020. "Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment," Journal of choice modelling, Elsevier, vol. 37(C).
    2. Blake, Miranda R. & Dubey, Subodh & Swait, Joffre & Lancsar, Emily & Ghijben, Peter, 2020. "An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data," Journal of Business Research, Elsevier, vol. 117(C), pages 44-57.
    3. Zhai, Tianchang & Wang, Jingjing & Li, Lei & Si, Wei, 2021. "Based on Volume or Sugar Content: Comparison of Consumer Welfare Effects of Different Consumption Tax Strategies for Sugar-Sweetened Beverages——Evidence from Urban China," 2021 Conference, August 17-31, 2021, Virtual 315103, International Association of Agricultural Economists.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    3. Haile, Kaleab K. & Tirivayi, Nyasha & Tesfaye, Wondimagegn, 2019. "Farmers’ willingness to accept payments for ecosystem services on agricultural land: The case of climate-smart agroforestry in Ethiopia," Ecosystem Services, Elsevier, vol. 39(C).
    4. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    5. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.
    6. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    7. 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.
    8. Fabrice Etilé & Sebastien Lecocq & Christine Boizot-Szantai, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare: Evidence from the French " Soda Tax"," PSE Working Papers halshs-01808198, HAL.
    9. Ana I. Sanjuán‐López & Helena Resano‐Ezcaray, 2020. "Labels for a Local Food Speciality Product: The Case of Saffron," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 778-797, September.
    10. Aguilar, Arturo & Gutierrez, Emilio & Seira, Enrique, 2021. "The effectiveness of sin food taxes: Evidence from Mexico," Journal of Health Economics, Elsevier, vol. 77(C).
    11. Feil, J.-H. & Anastassiadis, F. & Mußhoff, O. & Schilling, P., 2015. "Analysing Farmers’ Use of Price Hedging Instruments: An Experimental Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 50, March.
    12. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2016. "Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data," Melbourne Institute Working Paper Series wp2016n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    13. Cordula Hinkes & Inken Christoph-Schulz, 2020. "No Palm Oil or Certified Sustainable Palm Oil? Heterogeneous Consumer Preferences and the Role of Information," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    14. Arne Risa Hole & Hong Il Yoo, 2017. "The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 997-1013, November.
    15. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    16. Gutsche, Gunnar & Ziegler, Andreas, 2019. "Which private investors are willing to pay for sustainable investments? Empirical evidence from stated choice experiments," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 193-214.
    17. SERSE Valerio,, 2019. "Do sugar taxes affect the right consumers ?," LIDAM Discussion Papers CORE 2019017, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. Meldrum, James R., 2015. "Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen," Ecological Economics, Elsevier, vol. 120(C), pages 13-22.
    19. Etilé, F.; & Lecocq, S.; & Boizot-Szantaï, C.;, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare:Evidence from the French “Soda Taxâ€," Health, Econometrics and Data Group (HEDG) Working Papers 18/13, HEDG, c/o Department of Economics, University of York.
    20. Denzil G. Fiebig & Rosalie Viney & Stephanie Knox & Marion Haas & Deborah J. Street & Arne R. Hole & Edith Weisberg & Deborah Bateson, 2017. "Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 54-73, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:225:y:2019:i:c:p:98-107. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.