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Fish and meat demand in Canada: Regional differences and weak separability

Author

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  • Rémy Lambert

    (CRÉA, Université Laval)

  • Bruno Larue

    (CRÉA, 4417 Pavillon Paul-Comtois, FSAA, Université Laval, Ste-Foy, QC, Canada G1K 7P4)

  • Clément Yélou

    (CRÉA, Université Laval)

  • George Criner

    (Dept. of Resource Economics and Policy, University of Maine)

Abstract

The objective of this paper is to gauge to what extent there are regional differences in meat and fish demand across Canada. Three regions are defined for this purpose and the notorious problem of zeros in survey data is addressed by endogenizing the probability of purchase through the Shonkwiler and Yen approach applied to a QUAIDS demand system for each region. Probabilities of purchase and marginal effects are computed and compared as well as price and expenditure elasticities. The empirical distributions of the elasticities are simulated through bootstrapping. This allows us to formally test the null hypothesis of no regional differences between elasticities for central, western and Atlantic Canada and the null hypothesis of weak separability of fish from meats. While some significant regional differences were uncovered that can be exploited by food retailers, other findings were robust across regions. For example, the demand for fish tends to be more price and expenditure inelastic than the demand for meats. [EconLit citations: D120, C150, L660]. © 2006 Wiley Periodicals, Inc. Agribusiness 22: 175-199, 2006.

Suggested Citation

  • Rémy Lambert & Bruno Larue & Clément Yélou & George Criner, 2006. "Fish and meat demand in Canada: Regional differences and weak separability," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 175-199.
    • Handle: RePEc:wly:agribz:v:22:y:2006:i:2:p:175-199
    DOI: 10.1002/agr.20079
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    References listed on IDEAS

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    1. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.
    2. Lariviere, Eric & Larue, Bruno & Chalfant, Jim, 2000. "Modeling the demand for alcoholic beverages and advertising specifications," Agricultural Economics, Blackwell, vol. 22(2), pages 147-162, March.
    3. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    4. Purcell, Wayne D., 1989. "The Case of Beef Demand: A Failure by the Discipline," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 4(2), pages 1-4.
    5. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    6. Gale E. West & Bruno Larue & Chedlia Touil & Shannon L. Scott, 2001. "The perceived importance of veal meat attributes in consumer choice decisions," Agribusiness, John Wiley & Sons, Ltd., vol. 17(3), pages 365-382.
    7. Frederic Vermeulen, 2001. "A note on Heckman-type corrections in models for zero expenditures," Applied Economics, Taylor & Francis Journals, vol. 33(9), pages 1089-1092.
    8. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    9. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    10. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    11. Nelson, Forrest & Olson, Lawrence, 1978. "Specification and Estimation of a Simultaneous-Equation Model with Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 695-709, October.
    12. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    13. Panagiotis Lazaridis, 2003. "Household meat demand in Greece: A demand systems approach using microdata," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 43-59.
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    Cited by:

    1. Burggraf, Christine & Kuhn, Lena & Zhao, Quiran & Teuber, Ramona & Glauben, Thomas, 2015. "Nutrition transition in two emerging countries: A comparison between China and Russia," 2015 Conference, August 9-14, 2015, Milan, Italy 211375, International Association of Agricultural Economists.
    2. Peltner, Jonas & Thiele , Silke, 2021. "Elasticities of Food Demand in Germany – A Demand System Analysis Using Disaggregated Household Scanner Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(01), January.
    3. Bilgic, Abdulbaki & Yen, Steven T., 2013. "Household food demand in Turkey: A two-step demand system approach," Food Policy, Elsevier, vol. 43(C), pages 267-277.
    4. Sébastien Pouliot & Bruno Larue, 2012. "Import sensitive products and perverse tariff-rate quota liberalization," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 903-924, August.
    5. Peltner, Jonas & Thiele, Silke, 2021. "Elasticities of Food Demand in Germany – A Demand System Analysis Using Disaggregated Household Scanner Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(01), January.
    6. Prifti, Ervin & Daidone, Silvio & Miguelez, Borja, 2017. "Impact of increases in food prices on consumer welfare in Lesotho," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.
    7. Javier García-Enríquez & Cruz A. Echevarría, 2016. "Consistent Estimation of a Censored Demand System and Welfare Analysis: The 2012 VAT Reform in Spain," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 324-347, June.
    8. Drescher, Larissa S. & de Jonge, Janneke & Goddard, Ellen & Herzfeld, Thomas, 2012. "Consumer's stated trust in the food industry and meat purchases," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(4), pages 507-517.
    9. El Benni, Nadja & Finger, Robert & Hediger, Werner, 2014. "Transmission of beef and veal prices in different marketing channels," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182696, European Association of Agricultural Economists.
    10. Zhang, Xu & Goddard, Ellen W., 2010. "Analysis of Value-Added Meat Product Choice Behaviour by Canadian Households," Project Report Series 99703, University of Alberta, Department of Resource Economics and Environmental Sociology.
    11. Mohammed, Rezgar & Murova, Olga & Chidmi, Benaissa, 2018. "Examining Demand Elasticities for Differentiated Yogurt," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266417, Southern Agricultural Economics Association.
    12. Sven Anders & Anke Mőser, 2010. "Consumer Choice and Health: The Importance of Health Attributes for Retail Meat Demand in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(2), pages 249-271, June.
    13. Burggraf, Christine & Kuhn, Lena & Zhao, Qi-ran & Teuber, Ramona & Glauben, Thomas, 2015. "Economic growth and nutrition transition: An empirical analysis comparing demand elasticities for foods in China and Russia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(6), pages 1008-1022.
    14. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    15. Julia Bronnmann & Stefan Guettler & Jens-Peter Loy, 2019. "Efficiency of correction for sample selection in QUAIDS models: an example for the fish demand in Germany," Empirical Economics, Springer, vol. 57(4), pages 1469-1493, October.
    16. Anders, Sven M. & Moeser, Anke, 2008. "Using Retail Scanner Data to Assess the Demand for Value-based Ground Meat Products in Canada," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44154, European Association of Agricultural Economists.
    17. Musyoka, MP & Kavoi, Mutuku Muendo & Omiti, JM, 2014. "Food consumption patterns and distributional welfare impact of import tariff reduction on cereals in Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(3), pages 1-17, August.

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