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The effect of new‐product introduction on nutrition consumption: The case of Greek yogurt

Author

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  • Yi (Fionna) Xie
  • Timothy J. Richards

Abstract

True dietary change typically occurs through consumer preferences, and when changes in product attributes reflect these preferences, category‐level demand can be substantially rearranged. In this study, we show that a successful new product may fundamentally change the nature of an entire category, and change consumers' nutrient consumption by altering the nutrient content of the food products they consume. Greek yogurt, for example, offers a very different combination of nutrients relative to other types of yogurts. The fact that it was immediately successful after its introduction provides an example of a transformational new product—one that potentially changed the nutrient‐consumption profiles of yogurt buyers. We use a quasi‐experimental approach with propensity score matching (DiD + PSM) to identify the effect of introducing Greek yogurt on yogurt buyers’ nutrient consumption. We find that the introduction of Greek yogurt led to yogurt purchases with greater overall protein and calorie content, but lower fat and carbohydrate content. We use the case of Greek yogurt to show that a relatively simple innovative common consumer product can have far‐reaching implications for the nature of nutrients consumed from that category. Our findings point to the importance of information policies, and their interaction with consumer preferences, on changing dietary outcomes. Les véritables changements alimentaires surviennent généralement à travers les préférences des consommateurs, et lorsque les caractéristiques des produits évoluent pour refléter ces préférences, la demande au niveau d'une catégorie peut être profondément réorganisée. Dans cette étude, nous montrons qu'un nouveau produit réussi peut transformer fondamentalement la nature d'une catégorie entière et modifier la consommation de nutriments des consommateurs en changeant la composition nutritionnelle des aliments qu'ils consomment. Le yogourt grec, par exemple, offre une combinaison de nutriments très différente de celle des autres types de yogourts. Le fait qu'il ait connu un succès immédiat après son introduction constitue un exemple de produit véritablement transformateur — susceptible d'avoir modifié les profils de consommation de nutriments des acheteurs de yogourt. Nous utilisons une approche quasi expérimentale avec appariement par score de propension (DiD + PSM) afin d'identifier l'effet de l'introduction du yogourt grec sur la consommation de nutriments des acheteurs de yogourt. Nous constatons que cette introduction a entraîné des achats de yogourt présentant une teneur globale plus élevée en protéines et en calories, mais plus faible en lipides et en glucides. À travers le cas du yogourt grec, nous montrons qu'un produit de consommation courant, relativement simple mais innovant, peut avoir des répercussions importantes sur la nature des nutriments consommés au sein de cette catégorie. Nos résultats soulignent l'importance des politiques d'information, ainsi que leur interaction avec les préférences des consommateurs, dans la transformation des habitudes alimentaires.

Suggested Citation

  • Yi (Fionna) Xie & Timothy J. Richards, 2026. "The effect of new‐product introduction on nutrition consumption: The case of Greek yogurt," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 74(2), pages 124-148, June.
  • Handle: RePEc:bla:canjag:v:74:y:2026:i:2:p:124-148
    DOI: 10.1111/cjag.70016
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    References listed on IDEAS

    as
    1. Timothy J. Richards & Paul M. Patterson & Abebayehu Tegene, 2007. "Obesity And Nutrient Consumption: A Rational Addiction?," Contemporary Economic Policy, Western Economic Association International, vol. 25(3), pages 309-324, July.
    2. Nicole Darmon & Adam Drewnowski, 2015. "Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis," Post-Print hal-01774670, HAL.
    3. Rachel Griffith & Martin O'Connell & Kate Smith, 2017. "The Importance of Product Reformulation Versus Consumer Choice in Improving Diet Quality," Economica, London School of Economics and Political Science, vol. 84(333), pages 34-53, January.
    4. Unnevehr, Laurian J. & Jagmanaite, Evelina, 2008. "Getting rid of trans fats in the US diet: Policies, incentives and progress," Food Policy, Elsevier, vol. 33(6), pages 497-503, December.
    5. Prasad, Ashutosh & Strijnev, Andrei & Zhang, Qin, 2008. "What can grocery basket data tell us about health consciousness?," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 301-309.
    6. Jilde Garst & Vincent Blok & Léon Jansen & Onno S. W. F. Omta, 2017. "Responsibility versus Profit: The Motives of Food Firms for Healthy Product Innovation," Sustainability, MDPI, vol. 9(12), pages 1-29, December.
    7. Silberberg, Eugene, 1985. "Nutrition and the Demand for Tastes," Journal of Political Economy, University of Chicago Press, vol. 93(5), pages 881-900, October.
    8. Vincent Réquillart & Louis-Georges Soler, 2014. "Is the reduction of chronic diseases related to food consumption in the hands of the food industry?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 375-403.
    9. Reardon, Thomas & Lu, Liang & Zilberman, David, 2019. "Links among innovation, food system transformation, and technology adoption, with implications for food policy: Overview of a special issue," Food Policy, Elsevier, vol. 83(C), pages 285-288.
    10. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    11. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    12. Rishika Rishika & Ashish Kumar & Ramkumar Janakiraman & Ram Bezawada, 2013. "The Effect of Customers' Social Media Participation on Customer Visit Frequency and Profitability: An Empirical Investigation," Information Systems Research, INFORMS, vol. 24(1), pages 108-127, March.
    13. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2012. "Impact of online channel use on customer revenues and costs to serve: Considering product portfolios and self-selection," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 192-201.
    14. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    15. Stefano Iacus & Gary King & Giuseppe Porro, 2008. "Matching for Causal Inference Without Balance Checking," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1073, Universitá degli Studi di Milano.
    16. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2019. "A Theory of Statistical Inference for Matching Methods in Causal Research," Political Analysis, Cambridge University Press, vol. 27(1), pages 46-68, January.
    17. Francesco Bimbo & Alessandro Bonanno & Rosaria Viscecchia, 2016. "Do health claims add value? The role of functionality, effectiveness and brand," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(5), pages 761-780.
    18. James, Binkley & Golub, Alla A., 2007. "Comparison of Grocery Purchase Patterns of Diet Soda Buyers to Those of Regular Soda Buyers," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9963, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    20. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    21. Liang Guo, 2010. "Capturing Consumption Flexibility in Assortment Choice from Scanner Panel Data," Management Science, INFORMS, vol. 56(10), pages 1815-1832, October.
    22. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    23. Marnik G. Dekimpe & Dominique M. Hanssens, 1995. "The Persistence of Marketing Effects on Sales," Marketing Science, INFORMS, vol. 14(1), pages 1-21.
    24. Pingsun Leung & Walter Miklius, 1997. "Demand for nutrition vs. demand for tastes," Applied Economics Letters, Taylor & Francis Journals, vol. 4(5), pages 291-295.
    25. Charlotte H. Mason, 1990. "New Product Entries and Product Class Demand," Marketing Science, INFORMS, vol. 9(1), pages 58-73.
    26. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    27. Vincent R. Nijs & Marnik G. Dekimpe & Jan-Benedict E.M. Steenkamps & Dominique M. Hanssens, 2001. "The Category-Demand Effects of Price Promotions," Marketing Science, INFORMS, vol. 20(1), pages 1-22, September.
    28. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    29. Sourafel Girma & Holger Görg, 2016. "Multinationals’ Productivity Advantage: Scale Or Technology?," World Scientific Book Chapters, in: MULTINATIONAL ENTERPRISES AND HOST COUNTRY DEVELOPMENT Volume 53: World Scientific Studies in International Economics, chapter 1, pages 3-15, World Scientific Publishing Co. Pte. Ltd..
    30. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    31. Steven Shepherd & Tanya L. Chartrand & Gavan J. Fitzsimons, 2015. "When Brands Reflect Our Ideal World: The Values and Brand Preferences of Consumers Who Support versus Reject Society’s Dominant Ideology," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(1), pages 76-92.
    32. Sunder Kekre & Kannan Srinivasan, 1990. "Broader Product Line: A Necessity to Achieve Success?," Management Science, INFORMS, vol. 36(10), pages 1216-1232, October.
    33. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    34. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    35. 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.
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