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Price elasticities of meat, fish and plant-based meat substitutes: evidence from store-level Dutch supermarket scanner data

Author

Listed:
  • Zhaoxin Liu

    (Vrije Universiteit Amsterdam)

  • Erik Ansink

    (Vrije Universiteit Amsterdam)

Abstract
Reducing meat consumption has become a global policy target due to rising environmental, health, and animal welfare concerns. We provide novel evidence on how price change in real life affects grocery shopping behavior in the Netherlands. We focus on price-induced behavioral response among major meat categories (beef, pork, and poultry), fish, and the emerging product category of plant-based meat substitutes (PBMS). Our analysis is based on detailed weekly transaction data from approximately 1,500 products in 884 stores from several retail chains between 2015 and 2018. The own- and cross-price elasticities are estimated via a Quadratic Almost Ideal Demand System model, where we instrument the endogenous prices by the average prices from nearby stores. Our results show that all animal products have inelastic own-price elasticities, except for pork (-2.1). PBMS have a significant positive own-price elasticity (1.52), which we explain by the increasing variety of high-quality PBMS products. We also show that PBMS are price complements for beef, poultry, and fish. This study contributes to the policy discussions on a carbon meat tax and the protein transition by providing key statistics on price elasticities.

Suggested Citation

  • Zhaoxin Liu & Erik Ansink, 2024. "Price elasticities of meat, fish and plant-based meat substitutes: evidence from store-level Dutch supermarket scanner data," Tinbergen Institute Discussion Papers 24-046/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20240046
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    References listed on IDEAS

    as
    1. Diansheng Dong & Christopher G. Davis & Hayden Stewart, 2015. "The quantity and variety of households’ meat purchases: A censored demand system approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 99-112, January.
    2. Hestermann, Nina & Le Yaouanq, Yves & Treich, Nicolas, 2020. "An economic model of the meat paradox," European Economic Review, Elsevier, vol. 129(C).
    3. 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.
    4. France Caillavet & Adélaïde Fadhuile & Véronique Nichèle, 2016. "Taxing animal-based foods for sustainability: environmental, nutritional and social perspectives in France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(4), pages 537-560.
    5. David Tilman & Michael Clark, 2014. "Global diets link environmental sustainability and human health," Nature, Nature, vol. 515(7528), pages 518-522, November.
    6. Bonnet, Céline & Bouamra-Mechemache, Zohra & Corre, Tifenn, 2018. "An Environmental Tax Towards More Sustainable Food: Empirical Evidence of the Consumption of Animal Products in France," Ecological Economics, Elsevier, vol. 147(C), pages 48-61.
    7. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
    8. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    9. Neill, Clinton L. & Lahne, Jacob, 2022. "Matching reality: A basket and expenditure based choice experiment with sensory preferences," Journal of choice modelling, Elsevier, vol. 44(C).
    10. Gallet, Craig A., 2010. "The income elasticity of meat: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 1-14.
    11. Bhagyashree Katare & H. Holly Wang & Jonathan Lawing & Na Hao & Timothy Park & Michael Wetzstein, 2020. "Toward Optimal Meat Consumption," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 662-680, March.
    12. Taylor, Mykel R. & Tonsor, Glynn T., 2013. "Revealed Demand for Country-of-Origin Labeling of Meat in the United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), pages 1-13, August.
    13. Meyer, Stefan & Yu, Xiaohua & Abler, David G., 2011. "Comparison of several demand systems," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103736, Agricultural and Applied Economics Association.
    14. Craig A. Gallet, 2010. "Meat Meets Meta: A Quantitative Review of the Price Elasticity of Meat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 258-272.
    15. Espinosa, Romain & Treich, Nicolas, 2024. "Animal welfare as a public good," Ecological Economics, Elsevier, vol. 216(C).
    16. Eugene Jones & Cuma Akbay & Brian Roe & Wen S. Chern, 2003. "Analyses of consumers' dietary behavior: An application of the AIDS model to supermarket scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 19(2), pages 203-221.
    17. Aviv Nevo, 2003. "New Products, Quality Changes, and Welfare Measures Computed from Estimated Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 266-275, May.
    18. Pradeep K. Chintagunta, 2001. "Endogeneity and Heterogeneity in a Probit Demand Model: Estimation Using Aggregate Data," Marketing Science, INFORMS, vol. 20(4), pages 442-456, December.
    19. Tirtha Dhar & Jeremy D. Foltz, 2005. "Milk by Any Other Name … Consumer Benefits from Labeled Milk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 214-228.
    20. Sebastien Lecocq & Jean-Marc Robin, 2015. "Estimating almost-ideal demand systems with endogenous regressors," Stata Journal, StataCorp LP, vol. 15(2), pages 554-573, June.
    21. Oral Capps, 1989. "Utilizing Scanner Data to Estimate Retail Demand Functions for Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 750-760.
    22. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    23. Dongling Huang & Christian Rojas & Frank Bass, 2008. "What Happens When Demand Is Estimated With A Misspecified Model?," Journal of Industrial Economics, Wiley Blackwell, vol. 56(4), pages 809-839, December.
    24. Arthur Lewbel & Krishna Pendakur, 2009. "Tricks with Hicks: The EASI Demand System," American Economic Review, American Economic Association, vol. 99(3), pages 827-863, June.
    25. Joseph C. Purcell & Robert Raunikar, 1971. "Price Elasticities from Panel Data: Meat, Poultry, and Fish," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(2), pages 216-221.
    26. Celine Bonnet & Zohra Bouamra-Mechemache & Tifenn Corre, 2018. "An environmental tax towards more sustainable food: empirical evidence of the consumption of animal products in France," Post-Print hal-02626207, HAL.
    27. Jayson L. Lusk & Glynn T. Tonsor, 2016. "How Meat Demand Elasticities Vary with Price, Income, and Product Category," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 673-711.
    28. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    29. 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.
    30. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    31. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    More about this item

    Keywords

    Consumer demand; meat; fish; plant-based meat substitutes; price elasticity;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • D1 - Microeconomics - - Household Behavior
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

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