IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v53y2015icp1-8.html
   My bibliography  Save this article

Consumer response to monochrome Guideline Daily Amount nutrition labels

Author

Listed:
  • Boztuğ, Yasemin
  • Juhl, Hans Jørn
  • Elshiewy, Ossama
  • Jensen, Morten Berg

Abstract

Front-of-pack (FOP) nutrition labelling has received extensive political attention in recent years. Most studies assessing the influence of nutrition labelling focus on consumer attention to labels, while few concentrate on its effects on actual purchase behaviour. In this study, we present results from an analysis of scanner data provided by a large UK retailer. We focus on two food categories, using store-brand products that are labelled with a front-of-pack, monochrome Guideline Daily Amount (GDA) nutrition label. The analyses are based on models at both an aggregated and disaggregated level to enable us to identify as many influencing factors on food choice as possible. We utilize the SSAg/1 health score for our food categories as a dependent variable to obtain an objective measure of healthiness.

Suggested Citation

  • Boztuğ, Yasemin & Juhl, Hans Jørn & Elshiewy, Ossama & Jensen, Morten Berg, 2015. "Consumer response to monochrome Guideline Daily Amount nutrition labels," Food Policy, Elsevier, vol. 53(C), pages 1-8.
    • Handle: RePEc:eee:jfpoli:v:53:y:2015:i:c:p:1-8
    DOI: 10.1016/j.foodpol.2015.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919215000226
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.foodpol.2015.03.002?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. Mario F. Teisl & Nancy E. Bockstael & Alan Levy, 2001. "Measuring the Welfare Effects of Nutrition Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 133-149.
    2. Russo, J Edward, et al, 1986. "Nutrition Information in the Supermarket," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 48-70, June.
    3. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    5. Kiesel, Kristin & Villas-Boas, Sofia B., 2013. "Can information costs affect consumer choice? Nutritional labels in a supermarket experiment," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 153-163.
    6. Eliza M. Mojduszka & Julie A. Caswell & J. Michael Harris, 2001. "Consumer choice of food products and the implications for price competition and government policy," Agribusiness, John Wiley & Sons, Ltd., vol. 17(1), pages 81-104.
    7. 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.
    8. Mathios, Alan D., 1998. "The Importance Of Nutrition Labeling And Health Claim Regulation On Product Choice: An Analysis Of The Cooking Oils Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(2), pages 1-10, October.
    9. Capacci, Sara & Mazzocchi, Mario, 2011. "Five-a-day, a price to pay: An evaluation of the UK program impact accounting for market forces," Journal of Health Economics, Elsevier, vol. 30(1), pages 87-98, January.
    10. Jacoby, Jacob & Chestnut, Robert W & Silberman, William, 1977. "Consumer Use and Comprehension of Nutrition Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(2), pages 119-128, Se.
    11. Joshua P. Berning & Hayley H. Chouinard & Jill J. McCluskey, 2010. "Do Positive Nutrition Shelf Labels Affect Consumer Behavior? Findings from a Field Experiment with Scanner Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 364-369.
    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. Orquin, Jacob L. & Bagger, Martin P. & Lahm, Erik S. & Grunert, Klaus G. & Scholderer, Joachim, 2020. "The visual ecology of product packaging and its effects on consumer attention," Journal of Business Research, Elsevier, vol. 111(C), pages 187-195.
    2. Guan, Lijun & Zhang, Yan & Jin, Shaosheng & Zhou, Lin, 2021. "Understanding the low use rate of food nutrition information in China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(5), April.
    3. 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.
    4. Sofia B. Villas‐Boas & Kristin Kiesel & Joshua P. Berning & Hayley H. Chouinard & Jill J. McCluskey, 2020. "Consumer and Strategic Firm Response to Nutrition Shelf Labels," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 458-479, March.
    5. Anna Kristina Edenbrandt & Sinne Smed & Léon Jansen, 2018. "A hedonic analysis of nutrition labels across product types and countries," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 101-120.
    6. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, George, "undated". "Front of Pack Food Labels and dietary choice determinants: what works and for whom?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261225, Agricultural and Applied Economics Association.
    7. Paolo Crosetto & Anne Lacroix & Laurent Muller & Bernard Ruffieux, 2018. "Nutritional and economic impact of 5 alternative front-of-pack nutritional labels: experimental evidence," Working Papers hal-01805431, HAL.
    8. Liu, Xiaoou & Lopez, Rigoberto & Zhu, Chen, 2015. "Can Voluntary Nutrition Labeling Lead to a Healthier Food Market?," 2016 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2016, San Francisco, California 212818, Agricultural and Applied Economics Association.
    9. Edenbrandt, Anna Kristina & Smed, Sinne, 2018. "Exploring the correlation between self-reported preferences and actual purchases of nutrition labeled products," Food Policy, Elsevier, vol. 77(C), pages 71-80.
    10. Apostolidis, Chrysostomos & McLeay, Fraser, 2016. "Should we stop meating like this? Reducing meat consumption through substitution," Food Policy, Elsevier, vol. 65(C), pages 74-89.
    11. Grebitus, Carola & Davis, George C., 2017. "Change is good!? Analyzing the relationship between attention and nutrition facts panel modifications," Food Policy, Elsevier, vol. 73(C), pages 119-130.
    12. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.

    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. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    2. 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).
    3. Luca Panzone & Guy Garrod & Felice Adinolfi & Jorgelina Di Pasquale, 2022. "Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 666-689, September.
    4. Sofia B. Villas‐Boas & Kristin Kiesel & Joshua P. Berning & Hayley H. Chouinard & Jill J. McCluskey, 2020. "Consumer and Strategic Firm Response to Nutrition Shelf Labels," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 458-479, March.
    5. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    6. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2020. "Conveyance, envy, and homeowner choice of appliances," Energy Economics, Elsevier, vol. 89(C).
    7. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    8. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    9. Arthur Van Soest & Arie Kapteyn & Julie Zissimopoulos, 2006. "Using Stated Preferences Data to Analyze Preferences for Full and Partial Retirement," Working Papers WR-345, RAND Corporation.
    10. Andrés Elberg & Pedro M. Gardete & Rosario Macera & Carlos Noton, 2019. "Dynamic effects of price promotions: field evidence, consumer search, and supply-side implications," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 1-58, March.
    11. Clark, Andrew E. & Senik, Claudia & Yamada, Katsunori, 2017. "When experienced and decision utility concur: The case of income comparisons," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 70(C), pages 1-9.
    12. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    13. Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim & Tu, Gengyang & Whitmarsh, Lorraine & Whittle, Colin, 2022. "Household acceptability of energy efficiency policies in the European Union: Policy characteristics trade-offs and the role of trust in government and environmental identity," Ecological Economics, Elsevier, vol. 192(C).
    14. Cao, Ying (Jessica) & Cranfield, John & Chen, Chen & Widowski, Tina, 2021. "Heterogeneous informational and attitudinal impacts on consumer preferences for eggs from welfare enhanced cage systems," Food Policy, Elsevier, vol. 99(C).
    15. repec:dpr:wpaper:0930 is not listed on IDEAS
    16. Printezis, Iryna & Grebitus, Carola, 2018. "Marketing Channels for Local Food," Ecological Economics, Elsevier, vol. 152(C), pages 161-171.
    17. Villas-Boas, Sofia B & Taylor, Rebecca & Krovetz, Hannah, 2016. "Willingness to Pay for Low Water Footprint Food Choices During Drought," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vh3x180, Department of Agricultural & Resource Economics, UC Berkeley.
    18. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    19. Falco, Paolo & Maloney, William F. & Rijkers, Bob & Sarrias, Mauricio, 2015. "Heterogeneity in subjective wellbeing: An application to occupational allocation in Africa," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 137-153.
    20. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    21. Ju-Hee Kim & Younggew Kim & Seung-Hoon Yoo, 2021. "Using a choice experiment to explore the public willingness to pay for the impacts of improving energy efficiency of an apartment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1775-1793, October.

    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:jfpoli:v:53:y:2015:i:c:p:1-8. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    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.