IDEAS home Printed from https://ideas.repec.org/a/eee/jocoma/v34y2024ics2405851324000217.html
   My bibliography  Save this article

Wholesale pork demand: Understanding primal-level heterogeneity

Author

Listed:
  • Luke, Jaime R.
  • Tonsor, Glynn T.
  • Brown, D. Scott

Abstract

Traditionally, meat demand studies have estimated the demand for pork at the aggregate commodity level, but this study proposes wholesale pork demand estimation at the pork primal level. Flexibilities for the primal cuts as well as beef and chicken are estimated using an inverse almost ideal demand system (IAIDS). Own-quantity flexibilities for pork primal cuts are largely inflexible and statistically different from one another, suggesting heterogeneity exists in demand for pork at the primal level. Among the pork primal cuts, we find changes in quantity demanded result in the greatest percentage change in the price of loins and the smallest percentage change in the price of bellies. Ultimately, this study provides necessary information for the U.S. pork industry as recent policies, such as California's Proposition 12, are spurring changes in the pork production landscape. Estimated elasticities can be used in pork demand-building efforts both today and into the future.

Suggested Citation

  • Luke, Jaime R. & Tonsor, Glynn T. & Brown, D. Scott, 2024. "Wholesale pork demand: Understanding primal-level heterogeneity," Journal of Commodity Markets, Elsevier, vol. 34(C).
  • Handle: RePEc:eee:jocoma:v:34:y:2024:i:c:s2405851324000217
    DOI: 10.1016/j.jcomm.2024.100402
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2405851324000217
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcomm.2024.100402?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. Giancarlo Moschini & Karl D. Meilke, 1989. "Modeling the Pattern of Structural Change in U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 253-261.
    2. Capps, Oral, Jr. & Park, Jaehong, 2002. "Impacts Of Advertising, Attitudes, Lifestyles, And Health On The Demand For U.S. Pork: A Micro-Level Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(1), pages 1-15, April.
    3. Eales, James S. & Unnevehr, Laurian J., 1994. "The inverse almost ideal demand system," European Economic Review, Elsevier, vol. 38(1), pages 101-115, January.
    4. Thurman, Walter N, 1986. "Endogeneity Testing in a Supply and Demand Framework," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 638-646, November.
    5. Mario Mazzocchi, 2006. "No News Is Good News: Stochastic Parameters versus Media Coverage Indices in Demand Models after Food Scares," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 727-741.
    6. Thomas Marsh & Ted Schroeder & James Mintert, 2004. "Impacts of meat product recalls on consumer demand in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 897-909.
    7. Arnade, Carlos & Cooke, Bryce & Gale, Fred, 2017. "Agricultural price transmission: China relationships with world commodity markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 28-40.
    8. Capps, Oral, Jr. & Farris, Donald E. & Byrne, Patrick J. & Namken, Jerry C. & Lambert, Charles D., 1994. "Determinants Of Wholesale Beef-Cut Prices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(1), pages 1-17, July.
    9. Parcell, Joseph L., 2003. "An Empirical Analysis of the Demand for Wholesale Pork Primals: Seasonality and Structural Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-14, August.
    10. James S. Eales & Laurian J. Unnevehr, 1993. "Simultaneity and Structural Change in U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 259-268.
    11. Kyrre Rickertsen & Dadi Kristofersson & Solveig Lothe, 2003. "Effects of health information on Nordic meat and fish demand," Empirical Economics, Springer, vol. 28(2), pages 249-273, April.
    12. Brian Coffey & Ted Schroeder & Thomas Marsh, 2011. "Disaggregated household meat demand with censored data," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2343-2363.
    13. Lusk, Jayson L. & Marsh, Thomas L. & Schroeder, Ted C. & Fox, John A., 2001. "Wholesale Demand For Usda Quality Graded Boxed Beef And Effects Of Seasonality," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-16, July.
    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. John D. Jackson, 1997. "Effects of Health Information and Generic Advertising on U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 13-23.
    16. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    17. Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-957, Sept.-Nov.
    18. 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.
    19. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    20. George C. Davis, 1997. "The Logic of Testing Structural Change in Meat Demand: A Methodological Analysis and Appraisal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1186-1192.
    21. Gary. W. Brester & Michael K. Wohlgenant, 1991. "Estimating Interrelated Demands for Meats Using New Measures for Ground and Table Cut Beef," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1182-1194.
    22. Tonsor, Glynn T. & Mintert, James R. & Schroeder, Ted C., 2010. "U.S. Meat Demand: Household Dynamics and Media Information Impacts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), pages 1-17.
    23. Rodolfo M. Nayga & Oral Capps, 1994. "Tests of Weak Separability in Disaggregated Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 800-808.
    24. Pozo, Veronica F. & Bachmeier, Lance J. & Schroeder, Ted C., 2021. "Are there price asymmetries in the U.S. beef market?," Journal of Commodity Markets, Elsevier, vol. 21(C).
    25. Jason H. Grant & Dayton M. Lambert & Kenneth A. Foster, 2010. "A Seasonal Inverse Almost Ideal Demand System for North American Fresh Tomatoes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(2), pages 215-234, June.
    26. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
    27. Davis, George C., 1997. "The Formal Logic Of Testing Structural Change In Meat Demand: A Methodological Analysis," Faculty Paper Series 23975, Texas A&M University, Department of Agricultural Economics.
    28. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    29. Nicholas E. Piggott & James A. Chalfant & Julian M. Alston & Garry R. Griffith, 1996. "Demand Response to Advertising in the Australian Meat Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 268-279.
    30. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    31. Hoanjae Park & Walter N. Thurman, 1999. "On Interpreting Inverse Demand Systems: A Primal Comparison of Scale Flexibilities and Income Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 950-958.
    Full references (including those not matched with items on IDEAS)

    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. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
    2. Shang, Xia & Tonsor, Glynn T., 2017. "Food safety recall effects across meat products and regions," Food Policy, Elsevier, vol. 69(C), pages 145-153.
    3. 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.
    4. Tonsor, Glynn T. & Marsh, Thomas L., 2005. "Comparing Heterogeneous Consumption in US and Japanese Meat and Fish Demand," 2005 Annual meeting, July 24-27, Providence, RI 19567, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Rodriguez, Nestor & Eales, James S., 2015. "Structural Change via Threshold Effects: Estimating U.S. Meat Demand Using Smooth Transition Functions and the Effects of More Women in the Labor Force," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206522, Agricultural and Applied Economics Association.
    6. Beatrice D. Simo-Kengne & Johane Dikgang & Sunita Prugsamatz Ofstad, 2018. "Effect of marine protected areas and macroeconomic environment on meat consumption in SEAFO countries," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-13, December.
    7. Resende Filho, M A & Bressan, V G F & Braga, M J & Bressan, A A, 2011. "Sobre a Demanda Agregada por Carnes no Mercado Brasileiro [On the Demand for Meat in Brazil]," MPRA Paper 31818, University Library of Munich, Germany.
    8. Vardges Hovhannisyan & Brian W. Gould, 2014. "Structural change in urban Chinese food preferences," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 159-166, March.
    9. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    10. Edgardo Ayala & Joana Chapa, 2017. "AH1N1 impact on the Mexican pork meat market," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 32(1), pages 3-25.
    11. Peguero, Felipe & Kennedy, P. Lynn & Zapata, Hector O., 2018. "A Generalized Dynamic Inverse AIDS Model for Fresh Fruits and Vegetables: An Application to the U.S. Bell Pepper Industry," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266686, Southern Agricultural Economics Association.
    12. Mutondo, Joao E. & Henneberry, Shida Rastegari, 2007. "A Source-Differentiated Analysis of U.S. Meat Demand," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(3), pages 1-19, December.
    13. Ji Yong Lee & Yiwei Qian & Geir Wæhler Gustavsen & Rodolfo M. Nayga & Kyrre Rickertsen, 2020. "Effects of consumer cohorts and age on meat expenditures in the United States," Agricultural Economics, International Association of Agricultural Economists, vol. 51(4), pages 505-517, July.
    14. Chen Zhen & Michael K. Wohlgenant, 2006. "Meat Demand under Rational Habit Persistence," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 477-495, December.
    15. Mu, Jianhong E. & McCarl, Bruce A. & Bessler, David A., 2013. "Impacts of BSE and Avian Influenza on U.S. Meat Demand," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150392, Agricultural and Applied Economics Association.
    16. Thomas Marsh & Ted Schroeder & James Mintert, 2004. "Impacts of meat product recalls on consumer demand in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 897-909.
    17. Pruitt, J. Ross & Holcomb, Rodney B., 2017. "Impacts of Food Safety Recalls and Consumer Information on Restaurant Performance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 48(3), November.
    18. Rentsch, Dennis & Damon, Amy, 2013. "Prices, poaching, and protein alternatives: An analysis of bushmeat consumption around Serengeti National Park, Tanzania," Ecological Economics, Elsevier, vol. 91(C), pages 1-9.
    19. Heiman, Amir & Lowengart, Oded, 2008. "The effect of information about health hazards on demand for frequently purchased commodities," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 310-318.
    20. H. Holly Wang & Paul Gardner de Beville, 2017. "The media impact of animal disease on the US meat demand," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 493-504, September.

    More about this item

    Keywords

    Wholesale meat demand; Inverse almost ideal demand system (IAIDS); Pork primal cuts; Beef; Chicken; California Proposition 12;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:eee:jocoma:v:34:y:2024:i:c:s2405851324000217. 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/jcomm .

    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.