IDEAS home Printed from https://ideas.repec.org/p/ags/aare01/125781.html
   My bibliography  Save this paper

Impacts of Food Safety on U.S. Meat Demand

Author

Listed:
  • Piggott, Nicholas E.
  • Marsh, Thomas L.

Abstract

We investigate the impacts of food safety on a weakly separable U.S. meat demand system (beef, pork, and poultry) using both the Generalized Almost Ideal Demand System (GAIDS) and the Rotterdam model. To measure food safety, indices are constructed based on the number of meat safety articles reported by the top 50 English language newspapers. The GAIDS permits estimation of food safety parameters in a theoretically consistent framework using the concept of demographic translation. The Rotterdam model offers a comparison of estimates to the GAIDS and a further test of the robustness of the food safety elasticities. We find that inferences with respect to food safety and autocorrelation are fragile to functional form choices. From the models investigated there is mixed evidence as to whether food safety concerns have impacted demand. Evidence from the GAI model indicates that food safety impacts could last for several quarters, whereas evidence from the Rotterdam model fails to reject the hypothesis that food safety variables are statistically different from zero over any period. There is also mixed evidence concerning autocorrelation. In the GAI model the problem of autocorrelation disappears by including food safety variables, which are found to be statistically significant and seemingly rectifying the misspecified model that omits food safety variables. This is not the case for the Rotterdam model where a correction for serial correlation is needed even in the presence of the food safety variables, which themselves are not statistically significant. The fragility of these inferences and estimated economic effects to specification choices, particularly to functional form and how the food safety variables enter the demand functions, make it difficult to draw many definitive conclusions about the magnitude or sign of food safety impacts on demand. Concerns of their statistical significance notwithstanding, the most definitive observation is that they are likely to be very small relative to price and expenditure effects and to other possible factors that may have impacted demand.

Suggested Citation

  • Piggott, Nicholas E. & Marsh, Thomas L., 2001. "Impacts of Food Safety on U.S. Meat Demand," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125781, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare01:125781
    DOI: 10.22004/ag.econ.125781
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/125781/files/MarshT.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.125781?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
    ---><---

    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. Giancarlo Moschini & Daniele Moro & Richard D. Green, 1994. "Maintaining and Testing Separability in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 61-73.
    3. LaFrance, Jeffrey T., 2008. "The structure of US food demand," Journal of Econometrics, Elsevier, vol. 147(2), pages 336-349, December.
    4. Alston, Julian M. & Chalfant, James A., 1991. "Can We Take The Con Out Of Meat Demand Studies?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(1), pages 1-13, July.
    5. 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.
    6. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(1), pages 109-130.
    7. McGuirk, Anya M. & Driscoll, Paul J. & Alwang, Jeffrey Roger & Huang, Huilin, 1995. "System Misspecification Testing And Structural Change In The Demand For Meats," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-21, July.
    8. Michael Burton & Trevor Young & Roy Cromb, 1999. "Meat consumers’ long-term response to perceived risks associated with BSE in Great Britain," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 50, pages 7-19.
    9. Eales, James S. & Hyde, Jeffrey & Schrader, Lee F., 1998. "A Note On Dealing With Poultry In Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-10, December.
    10. 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.
    11. Mountain, Dean C, 1988. "The Rotterdam Model: An Approximation in Variable Space," Econometrica, Econometric Society, vol. 56(2), pages 477-484, March.
    12. 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.
    13. Nouhoun Coulibaly & B. Wade Brorsen, 1999. "Explaining the differences between two previous meat generic advertising studies," Agribusiness, John Wiley & Sons, Ltd., vol. 15(4), pages 501-515.
    14. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    15. Bohm, B & Rieder, R & Tintner, G, 1980. "A System of Demand Equations for Austria," Empirical Economics, Springer, vol. 5(2), pages 129-142.
    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. 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.
    2. 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.
    3. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    5. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    6. Eales, James S. & Hyde, Jeffrey & Schrader, Lee F., 1998. "A Note On Dealing With Poultry In Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-10, December.
    7. 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.
    8. Xiao, Hui & Kinnucan, Henry W. & Kaiser, Harry M., 1998. "Advertising, Structural Change, and U.S. Non-Alcoholic Drink Demand," Research Bulletins 122688, Cornell University, Department of Applied Economics and Management.
    9. Reed, Albert J. & Levedahl, J. William & Clark, J. Stephen, 2003. "Commercial Disappearance and Composite Demand for Food with an Application to U.S. Meats," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(1), pages 1-18, April.
    10. Dong, Fengxia & Fuller, Frank H., 2004. "Testing For Separability And Structural Change In Urban Chinese Food Demand," 2004 Annual meeting, August 1-4, Denver, CO 19923, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. 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.
    12. Resende Filho, Moises de Andrade & Buhr, Brian L., 2008. "Sobre O Valor Econômico Do Sistema De Identificação Animal Dos Eua (Nais): Notícias A Respeito Do Mau Da Vaca Louca Afetam O Consumo De Carnes?," 46th Congress, July 20-23, 2008, Rio Branco, Acre, Brazil 112719, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    13. Rulon D. Pope & Jeffrey T. LaFrance & Timothy K. M.Beatty, 2004. "Building Gorman's Nest," Econometric Society 2004 Australasian Meetings 26, Econometric Society.
    14. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    15. Metin Cakir & Joseph V. Balagtas, 2010. "Econometric evidence of cross-market effects of generic dairy advertising," Agribusiness, John Wiley & Sons, Ltd., vol. 26(1), pages 83-99.
    16. William Barnett & Ousmane Seck, 2006. "Rotterdam vs Almost Ideal Models: Will the Best Demand Specification Please Stand Up?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200605, University of Kansas, Department of Economics.
    17. Tirtha Pratim Dhar & Jean-Paul Chavas & Ronald W. Cotterill & Brian W. Gould, 2002. "An Econometric Analysis of Brand Level Strategic Pricing Between Coca Cola and Pepsi Inc," Food Marketing Policy Center Research Reports 065, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    18. Bo Xiong & Daniel Sumner & William Matthews, 2014. "A new market for an old food: the U.S. demand for olive oil," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 107-118, November.
    19. 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.
    20. Maynard, Leigh J. & Liu, Deyu, 1999. "Fragility In Dairy Product Demand Analysis," 1999 Annual meeting, August 8-11, Nashville, TN 21679, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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:ags:aare01:125781. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.