IDEAS home Printed from https://ideas.repec.org/a/ags/arerjl/165904.html
   My bibliography  Save this article

The Impact of Four Alternative Policies to Decrease Soda Consumption

Author

Listed:
  • Liu, Yizao
  • Lopez, Rigoberto A.
  • Zhu, Chen

Abstract

We examine the impact of four policy options on consumption of carbonated soft drinks (CSDs) by estimating a random-coefficient discrete-choice model of demand. Policy simulations using demand estimates indicate that the impacts of banning television advertising, limiting container size, and limiting calories on total consumption would be similar—an estimated 15.40–15.75 percent reduction. However, limiting calories would have a significantly greater impact on consumption of regular CSDs (–28.89 percent) and on calories consumed from CSDs (–19.34 percent). A tax on calories was least effective in curtailing overall consumption and consumption of regular CSDs.

Suggested Citation

  • Liu, Yizao & Lopez, Rigoberto A. & Zhu, Chen, 2014. "The Impact of Four Alternative Policies to Decrease Soda Consumption," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 43(1), pages 1-16, April.
    • Handle: RePEc:ags:arerjl:165904
    DOI: 10.22004/ag.econ.165904
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/165904/files/ARER2014%2043x1%20AEA%20Liu.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.165904?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Cohen, Andrew, 2008. "Package size and price discrimination in the paper towel market," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 502-516, March.
    2. Chen Zhen & Michael K. Wohlgenant & Shawn Karns & Phillip Kaufman, 2010. "Habit Formation and Demand for Sugar-Sweetened Beverages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 175-193.
    3. Jason M. Fletcher & David Frisvold & Nathan Tefft, 2010. "Can Soft Drink Taxes Reduce Population Weight?," Contemporary Economic Policy, Western Economic Association International, vol. 28(1), pages 23-35, January.
    4. Chen, Susan E. & Liu, Jing & Binkley, James K., 2012. "An Exploration of the Relationship Between Income and Eating Behavior," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(1), pages 1-10, April.
    5. Franco Mariuzzo & Patrick Walsh & Ciara Whelan, 2003. "Firm Size and Market Power in Carbonated Soft Drinks," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 23(3), pages 283-299, December.
    6. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters, in: The Economics of New Goods, pages 207-248, National Bureau of Economic Research, Inc.
    9. Block, J.P. & Chandra, A. & McManus, K.D. & Willett, W.C., 2010. "Point-of-purchase price and education intervention to reduce consumption of sugary soft drinks," American Journal of Public Health, American Public Health Association, vol. 100(8), pages 1427-1433.
    10. Tirtha Dhar & Jean‐Paul Chavas & Ronald W. Cotterill & Brian W. Gould, 2005. "An Econometric Analysis of Brand‐Level Strategic Pricing Between Coca‐Cola Company and PepsiCo," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(4), pages 905-931, December.
    11. Christopher R. Knittel & Konstantinos Metaxoglou, 2008. "Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings," NBER Working Papers 14080, National Bureau of Economic Research, Inc.
    12. 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.
    13. Jean-Pierre Dubé & Günter Hitsch & Puneet Manchanda, 2005. "An Empirical Model of Advertising Dynamics," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 107-144, June.
    14. repec:zwi:journl:v:44:y:2012:i:22:p:2859-2865 is not listed on IDEAS
    15. 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.
    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. Qizhong Yang & Keiichiro Honda & Tsunehiro Otsuki, 2019. "Structural demand estimation of the response to food safety regulations in the Japanese poultry market," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(3), pages 367-385, September.
    2. Hirsch, Stefan, 2022. "Product placement in the meat substitute sector: Evidence from a spatial demand model," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322181, Agricultural and Applied Economics Association.
    3. Dogbe, Wisdom & Revoredo-Giha, Cesar, 2022. "Industry levy versus banning promotion on soft drinks in Scotland: A distributional analysis," Food Policy, Elsevier, vol. 106(C).
    4. Hoy, Kyle A. & Wrenn, Douglas H., 2020. "The effectiveness of taxes in decreasing candy purchases," Food Policy, Elsevier, vol. 97(C).
    5. Bo Chen & Wuyang Hu & Qingjie Zhou, 2020. "Effects of local and national advertising across brands: the case of yogurt in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1260-1281, October.
    6. Chen, Xuan & Liu, Yizao & Jaenicke, Edward C. & Rabinowitz, Adam N., 2019. "New concerns on caffeine consumption and the impact of potential regulations: The case of energy drinks," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    7. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    8. Chen, Xuan & Liu, Yizao & Jaenicke, Edward C. & Rabinowitz, Adam N., 2018. "The Added Caffeine, Health Concerns and Potential Regulations: The Case of Energy Drinks," 2018 Annual Meeting, August 5-7, Washington, D.C. 273853, Agricultural and Applied Economics Association.
    9. Staudigel, Matthias & Anders, Sven, 2020. "Effects of the FDA's sodium reduction strategy in the U.S. market for chip products," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 216-238.

    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. Rigoberto A. Lopez & Yizao Liu & Chen Zhu, 2013. "Spillover and Competitive Effects of Advertising in the Carbonated Soft Drink Market," Working Papers 18, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    2. Yizao Liu & Rigoberto A. Lopez & Chen Zhu, 2013. "How Effective is Public Policy in Decreasing Soda Consumption? An Assessment of Four Policy Options," Working Papers 19, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    3. Michael Cohen & Rui Huang & Chen Zhu, 2012. "The Use of Voluntary Marketing Initiatives to Improve the Nutritional Profile of Kids Cereals," Working Papers 11, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    4. Zhu, Chen & Lopez, Rigoberto A. & Liu, Xiaoou, 2019. "Consumer responses to front-of-package labeling in the presence of information spillovers," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    5. Javier Donna & Andre Trindade & Pedro Pereira & Tiago Pires, 2018. "Measuring the Welfare of Intermediation in Vertical Markets," 2018 Meeting Papers 984, Society for Economic Dynamics.
    6. Huang, Lu & Liu, Yizao, 2017. "Health information and consumer learning in the bottled water market," International Journal of Industrial Organization, Elsevier, vol. 55(C), pages 1-24.
    7. Chen, Xuan & Liu, Yizao & Jaenicke, Edward C. & Rabinowitz, Adam N., 2019. "New concerns on caffeine consumption and the impact of potential regulations: The case of energy drinks," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    8. Haeck, Catherine & Lawson, Nicholas & Poirier, Krystel, 2022. "Estimating consumer preferences for different beverages using the BLP approach," Economics & Human Biology, Elsevier, vol. 46(C).
    9. Donna, Javier D. & Pereira, Pedro & Pires, Tiago & Trindade, Andre, 2018. "Measuring the Welfare of Intermediaries in Vertical Markets," MPRA Paper 90465, University Library of Munich, Germany.
    10. Donna, Javier D. & Pereira, Pedro & Trindade, Andre & Yoshida, Renan C., 2020. "Direct-to-Consumer Sales by Manufacturers and Bargaining," MPRA Paper 105773, University Library of Munich, Germany.
    11. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    12. Daniel Toro-Gonzalez & Jia Yan & R. Karina Gallardo & Jill J. McCluskey, 2013. "Estimation of Unobserved Attributes Using a Control Function Approach, Modeling the Demand for Mint Flavored Gum," Working Papers 2013-06, School of Economic Sciences, Washington State University.
    13. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    14. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," Cowles Foundation Discussion Papers 2301, Cowles Foundation for Research in Economics, Yale University.
    15. Zhang, Yinjunjie & Palma, Marco A., 2018. "Revisiting the Effects of Sugar Tax on Demand Elasticities - Evidence from the BLP Demand Model," 2018 Annual Meeting, August 5-7, Washington, D.C. 273978, Agricultural and Applied Economics Association.
    16. Ferrier, Peyton & Zhen, Chen, 2014. "Explaining the Shift from Preserved to Fresh Vegetable Consumption," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170555, Agricultural and Applied Economics Association.
    17. Chan, Tat Y. & Narasimhan, Chakravarthi & Yoon, Yeujun, 2017. "Advertising and price competition in a manufacturer-retailer channel," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 694-716.
    18. 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.
    19. Lacaze, Maria Victoria & Gonzalez, Julia, 2012. "Implementation of a GAP Label in a Differentiated-Product Industry: A Welfare Evaluation with a Random Coefficients Model for Mar Del Plata, Argentina," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126397, International Association of Agricultural Economists.
    20. Federico Ciliberto & GianCarlo Moschini & Edward D. Perry, 2019. "Valuing product innovation: genetically engineered varieties in US corn and soybeans," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 615-644, September.

    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:ags:arerjl:165904. See general information about how to correct material in RePEc.

    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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/nareaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.