La présente étude examine l'effet des variables démographiques et géographiques sur l'utilisation de divers types de rabais (tels que coupons, réductions de prix, rabais accordés aux membres) et tente de déterminer si les utilisateurs de chaque type de rabais sont plus sensibles aux prix que les non-utilisateurs, et ce, dans le cas de 13 catégories de produits de porc. Dans le cadre de cette étude, nous avons appliqué la technique de régression sur données de panel dont les données sur les achats de produits de porc sont d'une enquête réalisée par Ipsos-Reid auprès de 6 079 ménages canadiens au cours d'une période de 12 mois. Les résultats de notre étude montrent que l'effet des données démographiques et géographiques sur l'utilisation de rabais dépend du type de rabais et que, pour de nombreux produits, l’élasticité de la demande par rapport au prix est plus élevée chez les utilisateurs de rabais tels que les coupons et les réductions de prix que chez les non-utilisateurs. Par exemple, les coupons et les réductions de prix s'avèrent des outils de discrimination par les prix plus efficaces que les rabais accordés à des membres pour les produits de porc transformés. Les résultats de notre étude autorisent à penser que les détaillants devraient faire preuve de stratégie concernant les types de rabais utilisés dans le but de discriminer le plus efficacement possible par les prix pour une variété de produits de porc."> La présente étude examine l'effet des variables démographiques et géographiques sur l'utilisation de divers types de rabais (tels que coupons, réductions de prix, rabais accordés aux membres) et tente de déterminer si les utilisateurs de chaque type de rabais sont plus sensibles aux prix que les non-utilisateurs, et ce, dans le cas de 13 catégories de produits de porc. Dans le cadre de cette étude, nous avons appliqué la technique de régression sur données de panel dont les données sur les achats de produits de porc sont d'une enquête réalisée par Ipsos-Reid auprès de 6 079 ménages canadiens au cours d'une période de 12 mois. Les résultats de notre étude montrent que l'effet des données démographiques et géographiques sur l'utilisation de rabais dépend du type de rabais et que, pour de nombreux produits, l’élasticité de la demande par rapport au prix est plus élevée chez les utilisateurs de rabais tels que les coupons et les réductions de prix que chez les non-utilisateurs. Par exemple, les coupons et les réductions de prix s'avèrent des outils de discrimination par les prix plus efficaces que les rabais accordés à des membres pour les produits de porc transformés. Les résultats de notre étude autorisent à penser que les détaillants devraient faire preuve de stratégie concernant les types de rabais utilisés dans le but de discriminer le plus efficacement possible par les prix pour une variété de produits de porc."> La présente étude examine l'effet des variables démographiques et géographiques sur l'utilisation de divers types de rabais (tels que coupons, réduction">
[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bla/canjag/v63y2015i4p449-474.html
   My bibliography  Save this article

Discount Usage and Price Discrimination for Pork Products in Canada

Author

Listed:
  • Richard J. Vyn
  • Getu Hailu
Abstract
type="main" xml:lang="fr"> La présente étude examine l'effet des variables démographiques et géographiques sur l'utilisation de divers types de rabais (tels que coupons, réductions de prix, rabais accordés aux membres) et tente de déterminer si les utilisateurs de chaque type de rabais sont plus sensibles aux prix que les non-utilisateurs, et ce, dans le cas de 13 catégories de produits de porc. Dans le cadre de cette étude, nous avons appliqué la technique de régression sur données de panel dont les données sur les achats de produits de porc sont d'une enquête réalisée par Ipsos-Reid auprès de 6 079 ménages canadiens au cours d'une période de 12 mois. Les résultats de notre étude montrent que l'effet des données démographiques et géographiques sur l'utilisation de rabais dépend du type de rabais et que, pour de nombreux produits, l’élasticité de la demande par rapport au prix est plus élevée chez les utilisateurs de rabais tels que les coupons et les réductions de prix que chez les non-utilisateurs. Par exemple, les coupons et les réductions de prix s'avèrent des outils de discrimination par les prix plus efficaces que les rabais accordés à des membres pour les produits de porc transformés. Les résultats de notre étude autorisent à penser que les détaillants devraient faire preuve de stratégie concernant les types de rabais utilisés dans le but de discriminer le plus efficacement possible par les prix pour une variété de produits de porc.

Suggested Citation

  • Richard J. Vyn & Getu Hailu, 2015. "Discount Usage and Price Discrimination for Pork Products in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 449-474, December.
    • Handle: RePEc:bla:canjag:v:63:y:2015:i:4:p:449-474
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/cjag.12090
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Kay, J. A. & Keen, M. J. & Morris, C. N., 1984. "Estimating consumption from expenditure data," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 169-181.
    3. Lin, Biing-Hwan & Davis, Christopher G. & Yen, Steven T., 2004. "Consumption of Pork Products: Now and to the Year 2020," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 22(2), pages 1-15.
    4. Scott A. Neslin & Caroline Henderson & John Quelch, 1985. "Consumer Promotions and the Acceleration of Product Purchases," Marketing Science, INFORMS, vol. 4(2), pages 147-165.
    5. Getu Hailu & Richard J. Vyn & Yong Ma, 2014. "The Demand for Pork Products in Canada: Discount Promotions and Cannibalization," Agribusiness, John Wiley & Sons, Ltd., vol. 30(4), pages 470-492, September.
    6. Hui-Shung Chang & Henry W. Kinnucan, 1991. "Advertising, Information, and Product Quality: The Case of Butter," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1195-1203.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. James J. Heckman, 1976. "Introduction to "Annals of Economic and Social Measurement, Volume 5, number 4"," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, National Bureau of Economic Research, Inc.
    9. Jonq-Ying Lee & Mark G. Brown, 1985. "Coupon Redemption and the Demand for Frozen Concentrated Orange Juice: A Switching Regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 647-653.
    10. Verbeke, Wim & Ward, Ronald W., 2001. "A fresh meat almost ideal demand system incorporating negative TV press and advertising impact," Agricultural Economics, Blackwell, vol. 25(2-3), pages 359-374, September.
    11. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    12. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    13. Yuxin Chen & Sridhar Moorthy & Z. John Zhang, 2005. "Research Note---Price Discrimination After the Purchase: Rebates as State-Dependent Discounts," Management Science, INFORMS, vol. 51(7), pages 1131-1140, July.
    14. Meghir, Costas & Robin, Jean-Marc, 1992. "Frequency of purchase and the estimation of demand systems," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 53-85.
    15. Jagmohan S. Raju & V. Srinivasan & Rajiv Lal, 1990. "The Effects of Brand Loyalty on Competitive Price Promotional Strategies," Management Science, INFORMS, vol. 36(3), pages 276-304, March.
    16. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    17. Chakravarthi Narasimhan, 1984. "A Price Discrimination Theory of Coupons," Marketing Science, INFORMS, vol. 3(2), pages 128-147.
    18. Berning, Joshua P., 2014. "The Effect of Breakfast Cereal Coupons on the Nutritional Quality of Household Purchases," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(A), pages 1-20, March.
    19. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    20. Panos Fousekis & Brian J Revell, 2003. "Quadratic Differential Demand Systems and the Retail Demand for Pork in Great Britain," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(3), pages 417-430, November.
    21. Frank Verboven, 2002. "Quality-Based Price Discrimination and Tax Incidence: Evidence from Gasoline and Diesel Cars," RAND Journal of Economics, The RAND Corporation, vol. 33(2), pages 275-297, Summer.
    22. Gary W. Brester & Ted C. Schroeder, 1995. "The Impacts of Brand and Generic Advertising on Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 969-979.
    23. Jeuland, Abel P & Narasimhan, Chakravarthi, 1985. "Dealing-Temporary Price Cuts-by Seller as a Buyer Discrimination Mechanism," The Journal of Business, University of Chicago Press, vol. 58(3), pages 295-308, July.
    24. Julian Alston & James Chalfant & Nicholas Piggott, 2002. "Estimating and testing the compensated double-log demand model," Applied Economics, Taylor & Francis Journals, vol. 34(9), pages 1177-1186.
    25. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    26. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    27. Diansheng Dong & Harry M. Kaiser, 2005. "Coupon Redemption and Its Effect on Household Cheese Purchases," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 689-702.
    28. John Gibson & Bonggeun Kim, 2012. "Testing the Infrequent Purchases Model Using Direct Measurement of Hidden Consumption from Food Stocks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 257-270.
    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. Ellen Goddard & Wuyang Hu, 2015. "Introduction to the Special Issue on Food Marketing, Information, and Labeling," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 431-433, December.

    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. Raju, Jagmohan S., 1995. "Theoretical models of sales promotions: Contributions, limitations, and a future research agenda," European Journal of Operational Research, Elsevier, vol. 85(1), pages 1-17, August.
    2. Jorge M. Silva-Risso & Randolph E. Bucklin & Donald G. Morrison, 1999. "A Decision Support System for Planning Manufacturers' Sales Promotion Calendars," Marketing Science, INFORMS, vol. 18(3), pages 274-300.
    3. Noble, Stephanie M. & Lee, Kang Bok & Zaretzki, Russell & Autry, Chad, 2017. "Coupon clipping by impoverished consumers: Linking demographics, basket size, and coupon redemption rates," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 553-571.
    4. Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
    5. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    6. David Madden, 2000. "Relative Or Absolute Poverty Lines: A New Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(2), pages 181-199, June.
    7. Shimshack, Jay P. & Ward, Michael B. & Beatty, Timothy K.M., 2007. "Mercury advisories: Information, education, and fish consumption," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 158-179, March.
    8. David Aristei & Federico Perali & Luca Pieroni, 2008. "Cohort, age and time effects in alcohol consumption by Italian households: a double-hurdle approach," Empirical Economics, Springer, vol. 35(1), pages 29-61, August.
    9. Alam Kazmi, Syed Hasnain, 2015. "Developments in Promotion Strategies Review on Psychological Streams of Consumers," MPRA Paper 65424, University Library of Munich, Germany, revised 05 May 2015.
    10. Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2002. "Public Policies and the Demand for Vegetables," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24885, European Association of Agricultural Economists.
    11. Klapper, Daniel & Cooper, Lee G. & Hildebrandt, Lutz, 1999. "The congruence of theoretical and empirical patterns of inter-store price competition," SFB 373 Discussion Papers 1999,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    12. Guta, Dawit & Zerriffi, Hisham & Baumgartner, Jill & Jain, Abhishek & Mani, Sunil & Jack, Darby & Carter, Ellison & Shen, Guofeng & Orgill-Meyer, Jennifer & Rosenthal, Joshua & Dickinson, Katherine & , 2024. "Moving Beyond Clean Cooking Energy adoption: Using Indian ACCESS panel data to understand solid fuel suspension," Energy Policy, Elsevier, vol. 184(C).
    13. Cook, Douglas O. & Kieschnick, Robert & McCullough, B.D., 2008. "Regression analysis of proportions in finance with self selection," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 860-867, December.
    14. Edoardo Di Porto, 2009. "Audit, tax compliance and undeclared work: an empirical analysis," LABORatorio R. Revelli Working Papers Series 94, LABORatorio R. Revelli, Centre for Employment Studies.
    15. Rinaldo Brau & M. Lippi Bruni & Am Pinna, 2004. "Public vs private demand for covering long term care expenditures," Working Paper CRENoS 200408, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    16. Hikaru Hasegawa & Kazuhiro Ueda & Kunie Mori, 2008. "Estimation of Engel Curves from Survey Data with Zero Expenditures," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 535-558, August.
    17. Renuka Sane & Susan Thomas, 2020. "From Participation To Repurchase: Low Income Households And Micro‐insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 783-814, September.
    18. Yuen Leng Chow & Isa E. Hafalir & Abdullah Yavas, 2015. "Auction versus Negotiated Sale: Evidence from Real Estate Sales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 432-470, June.
    19. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    20. Rama Lionel Ngenzebuke, 2016. "Female say on income and child outcomes: Evidence from Nigeria," WIDER Working Paper Series 134, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Statistics

    Access and download statistics

    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:bla:canjag:v:63:y:2015:i:4:p:449-474. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/caefmea.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.