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Effect of government quality grade labels on consumer demand for pork chops in the short and long run

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  • Lusk, Jayson L.
  • Tonsor, Glynn T.
  • Schroeder, Ted C.
  • Hayes, Dermot J.
Abstract
Despite ample evidence of pork quality variability, at present there are few signals that would incentivize growers to produce higher quality pork. Using split-sample, choice experiment data from a nationwide online survey of U.S. pork chop eaters, this research determines changes in pork chop demand in response to a potential change in U.S. government policy that would introduce a new pork quality grading system based on color scores. Our simulations include novel short-run projections in which the conditional and latent class logit models are inverted to yield inverse demand curves. The inverse demand curves are used to calculate equilibrium prices and pork revenue given a fixed supply of different pork qualities. We supplement these calculations with a more traditional “long run” analysis in which prices are fixed and quantities of different qualities adjust. Compared to the status quo (control) of no quality grades, we find that two grading systems based on alternative nomenclatures (Select, Choice, Prime vs. Good, Better, Best) both have the potential to increase pork chop sales and revenue to the pork industry; however, we also find that if only the highest quality is labeled, revenue could fall as the increase in demand for the higher quality is offset by the fall in demand for the lower qualities. Results also highlight important heterogeneity in consumer preferences, and although sensory studies strongly suggest redder pork chops are more highly preferred, there remains a non-trivial share of consumers who prefer whiter pork even after quality grade labeling. Overall, this study offers several insights that can help inform labeling and quality grading policies.

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  • Lusk, Jayson L. & Tonsor, Glynn T. & Schroeder, Ted C. & Hayes, Dermot J., 2018. "Effect of government quality grade labels on consumer demand for pork chops in the short and long run," Food Policy, Elsevier, vol. 77(C), pages 91-102.
    • Handle: RePEc:eee:jfpoli:v:77:y:2018:i:c:p:91-102
    DOI: 10.1016/j.foodpol.2018.04.011
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    7. Elliott J. Dennis & Glynn T. Tonsor & Jayson L. Lusk, 2021. "Choosing quantities impacts individuals choice, rationality, and willingness to pay estimates," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 945-962, November.
    8. Yu Jiang & H. Holly Wang & Shaosheng Jin, 2023. "Mobilising the public to fight poverty using anti‐poverty labels in online food markets: Evidence from a real experimental auction," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 168-190, February.
    9. Dimitris Skalkos & Ioanna S. Kosma & Eleni Chasioti & Thomas Bintsis & Haralabos C. Karantonis, 2021. "Consumers’ Perception on Traceability of Greek Traditional Foods in the Post-COVID-19 Era," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    10. Aaron M. Shew & Heather A. Snell & Rodolfo M. Nayga & Mary C. Lacity, 2022. "Consumer valuation of blockchain traceability for beef in the United States," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 299-323, March.

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