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Journal of Integrative Agriculture  2015, Vol. 14 Issue (6): 1130-1141    DOI: 10.1016/S2095-3119(14)60996-5
Section 5: Food Safety and International Experiences Advanced Online Publication | Current Issue | Archive | Adv Search |
Impacts of bovine spongiform encephalopathy and avian influenza on U.S. meat demand
 Jianhong E Mu, Bruce A McCarl, Amy Hagerman, David Bessler
1、Department of Applied Economics, Oregon State University, Corvallis 97330, USA
2、Department of Agricultural Economics, Texas A&M University, College Station 77840, USA
3、Center for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins 80526, USA
4、Department of Agricultural Economics, Texas A&M University, College Station 77840, USA
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摘要  This paper examines the U.S. meat demand impacts of the announced outbreaks of bovine spongiform encephalopathy (BSE) and avian influenza (AI). Findings indicate that beef and chicken demand was negatively affected by BSE and AI disease outbreaks. Specifically, in the short run, U.S. consumers shift demand due to both outbreaks but more so due to domestic disease outbreaks than for outbreaks occurring overseas-the impact of U.S. AI outbreaks is about 0.5% for beef and the impact of U.S. BSE cases is around –0.42% for beef and 0.4% for pork, respectively. Regarding the BSE shock on meat demand, there is a high rate of beef demand adjusted from disturbance to the long-run equilibrium and a lower adjustment rate for chicken demand because of the repeated outbreaks of AI worldwide. In the long run, information related to severe, persistently recurring overseas animal disease outbreaks changes U.S. consumers’ meat consumption patterns. Although effects of animal diseases on U.S. meat demand were statistically significant, the magnitudes were small-the impact of WHO reported human death numbers for AI is 0.005% for beef, –0.002% for pork, and –0.006% for chicken and the impact of U.S. BSE cases is 1.1% for pork and –0.7% for chicken.

Abstract  This paper examines the U.S. meat demand impacts of the announced outbreaks of bovine spongiform encephalopathy (BSE) and avian influenza (AI). Findings indicate that beef and chicken demand was negatively affected by BSE and AI disease outbreaks. Specifically, in the short run, U.S. consumers shift demand due to both outbreaks but more so due to domestic disease outbreaks than for outbreaks occurring overseas-the impact of U.S. AI outbreaks is about 0.5% for beef and the impact of U.S. BSE cases is around –0.42% for beef and 0.4% for pork, respectively. Regarding the BSE shock on meat demand, there is a high rate of beef demand adjusted from disturbance to the long-run equilibrium and a lower adjustment rate for chicken demand because of the repeated outbreaks of AI worldwide. In the long run, information related to severe, persistently recurring overseas animal disease outbreaks changes U.S. consumers’ meat consumption patterns. Although effects of animal diseases on U.S. meat demand were statistically significant, the magnitudes were small-the impact of WHO reported human death numbers for AI is 0.005% for beef, –0.002% for pork, and –0.006% for chicken and the impact of U.S. BSE cases is 1.1% for pork and –0.7% for chicken.
Keywords:  avian influenza       bovine spongiform encephalopathy (BSE) events       meat demand       demand estimation  
Received: 25 January 2014   Accepted:
Corresponding Authors:  Jianhong E Mu,tel: +541-737-3781, E-mail: mujh1024@gmail.com     E-mail:  mujh1024@gmail.com
About author:  Bruce A McCarl, E-mail: mccarl@tamu.edu; Amy Hagerman,E-mail: amy.d.hagerman@aphis.usda.gov; David Bessler,E-mail: d-bessler@tamu.edu;

Cite this article: 

Jianhong E Mu, Bruce A McCarl, Amy Hagerman, David Bessler. 2015. Impacts of bovine spongiform encephalopathy and avian influenza on U.S. meat demand. Journal of Integrative Agriculture, 14(6): 1130-1141.

Adhikari M, Paudel L, Houston J E, Paudel K P, BukenyaJ. 2006. The impact of cholesterol information on meatdemand: Application of an updated cholesterol index.Journal of Food Distribution Research, 37, 60-69

Alexander D J. 2007. Summary of avian influenza activity inEurope, Asia, Africa, and Australasia, 2002-2006 AvianDiseases, 51, 161-166

Attavanich W, McCarl B A, Bessler D. 2011. The effect of H1N1(swine flu) media coverage on agricultural commoditymarkets. Applied Economic Perspectives and Policy, 33,241-259

Aznar A, Salvador M. 2002. Selecting the rank of thecointegration space and the form of the intercept using aninformation criterion. Econometric Theory, 18, 926-947

Baltagi B H, Wang Z. 2007. Testing for cointegrating rank viamodel selection: evidence from 165 data sets. EmpiricalEconomics, 33, 41-49

Beach R H, Zhen C. 2008. Consumer purchasing behavior inresponse to media coverage of avian influenza. SouthernAgricultural Economics Association 2008 Annual Meeting.February 2-6, 2008 Dallas, Texas.

Brown D J, Schrader L F. 1990. Cholesterol information andshell egg consumption. American Journal of AgriculturalEconomics, 72, 548-555

Burton M, Young T. 1996. The impact of BSE on the demand forbeef and other meats in Great Britain. Applied Economics,28, 687-693

Capps Jr. O, Schmitz J D. 1991. A recognition of health andnutrition factors in food demand analysis. Western Journalof Agricultural Economics, 16, 21-35

Capps O, Park J. 2002. Impacts of advertising, attitudes,lifestyles, and health on the demand for US pork:Amicro-level analysis. Journal of Agricultural and AppliedEconomics, 34, 1-16

CDC (Centers for Disease Control and Prevention, USA). 2014.Past outbreaks of avian influenza in North America. [2014-01-10]. http://www.cdc.gov/flu/avianflu/past-outbreaks.htm

Chang H S, Kinnucan H W. 1991. Advertising, information,and product quality: The case of butter. American Journalof Agricultural Economics, 73, 1195-1203

Clemente J, Montanes A, Reyes M. 1998. Testing for a unit rootin variables with a double change in the mean. EconomicsLetters, 59, 175-182

Crowley C S, Shimazaki Y. 2005. Measuring the impact of aBSE announcement on US retail beef sales: A time-seriesanalysis. Journal of Agribusiness, 23, 19-40

Davis G C. 1997. The logic of testing structural change in meatdemand: a methodological analysis and appraisal. AmericanJournal of Agricultural Economics, 79, 1186-1192

Deaton A, Muellbauer J. 1980. An almost ideal demand system.The American Economic Review, 70, 312-326

Duffy M. 2003. Advertising and food, drink and tobaccoconsumption in the United Kingdom: A dynamic demandsystem. Agricultural Economics, 28, 51-70

Duffy M. 2006. Tobacco consumption and policy in the UnitedKingdom. Applied Economics, 38, 1235-1257

Eakins J M, Gallagher L A. 2003. Dynamic almost ideal demandsystems: an empirical analysis of alcohol expenditure inIreland. Applied Economics, 35, 1025-1036

Eales J S, Unnevehr L J. 1988. Demand for beef and chickenproducts: Separability and structural change. AmericanJournal of Agricultural Economics, 70, 521-532

Eales J S, Unnevehr L J. 1993. Simultaneity and structuralchange in US meat demand. American Journal ofAgricultural Economics, 75, 259-268

Elder J. 1997. Estimating the arbitrage pricing theory withobserved macro factors. Economics Letters, 55, 241-246

Green R, Alston J M. 1990. Elasticities in AIDS models.American Journal of Agricultural Economics, 72, 442-445

Green R, Alston J M. 1991. Elasticities in AIDS models:Aclarification and extension. American Journal of AgriculturalEconomics, 73, 874-875

Holt M T, Balagtas J V. 2009. Estimating structural changewith smooth transition regressions: An application to meatdemand. American Journal of Agricultural Economics, 91,1424-1431

Holt M T, Goodwin B K. 1997. Generalized habit formation in aninverse almost ideal demand system: An application to meatexpenditures in the US. Empirical Economics, 22, 293-320

Ishida T, Ishikawa N, Fukushige M. 2010. Impact of BSE andbird flu on consumers’ meat demand in Japan. AppliedEconomics, 42, 49-56

Jin Y, Mu J. 2012. Avian influenza in China: Consumerperception of AI and their willingness to pay for traceabilitylabeling. In: Zilberman D, Otte J, Roland-Holst D, PfeifferD, eds., Health and Animal Agriculture in DevelopingCountries. Springer, New York. pp. 391-399

Johansen S. 1988. Statistical analysis of cointegration vectors.Journal of Economic Dynamics and Control, 12, 231-254

Kuchler F, Tegene A. 2006. Did BSE announcements reducebeef purchases? In: Did BSE Announcements Reduce BeefPurchases Economic Research Service, United StatesDepartment of Agriculture, USA.

Lee C W, Swayne D E, Linares J A, Senne D A, Suarez D L.2005. H5N2 avian influenza outbreak in Texas in 2004:The first highly pathogenic strain in the United States in 20years Journal of Virology, 79, 11412-11421

Marsh J M, Brester G W, Smith V H. 2008. Effects of NorthAmerican BSE events on US cattle prices. AppliedEconomic Perspectives and Policy, 30, 136-150

Mazzocchi M. 2003. Time-varying coefficients in the AlmostIdeal Demand System: An empirical appraisal. EuropeanReview of Agricultural Economics, 30, 241-270

Mazzocchi M. 2006. No news is good news: Stochasticparameters versus media coverage indices in demandmodels after food scares. American Journal of AgriculturalEconomics, 88, 727-741

Mazzocchi M, Monache D D, Lobb A E. 2006. A structural timeseries approach to modelling multiple and resurgent meatscares in Italy. Applied Economics, 38, 1677-1688

McElroy M B, Burmeister E, Wall K D. 1985. Two estimatorsfor the APT model when factors are measured. EconomicsLetters, 19, 271-275

Miljkovic D, Mostad D. 2005. Impact of changes in dietarypreferences on US retail demand for beef: Health concernsand the role of media. Journal of Agribusiness, 23, 183.

Mu J E, McCarl B A, Wu X, Ward M P. 2014. Climate changeand the risk of highly pathogenic avian influenza outbreaksin birds. British Journal of Environment and Climate Change,4, 166-185

Park M, Jin Y H, Bessler D A. 2008. The impacts of animaldisease crises on the Korean meat market. AgriculturalEconomics, 39, 183-195

Pelzel A M, McCluskey B J, Scott A E. 2006. Review of thehighly pathogenic avian influenza outbreak in Texas, 2004.Journal of the American Veterinary Medical Association,228, 1869-1875

Phillips P C, McFarland J W. 1997. Forward exchange marketunbiasedness: The case of the Australian dollar since 1984.Journal of International Money and Finance, 16, 885-907

Piggott N E, Chalfant J A, Alston J M, Griffith G R. 1996.Demand response to advertising in the Australian meatindustry. American Journal of Agricultural Economics, 78,268-279

Piggott N E, Marsh T L. 2004. Does food safety informationimpact US meat demand? American Journal of AgriculturalEconomics, 86, 154-174

Rickertsen K. 1996. Structural change and the demand formeat and fish in Norway. European Review of AgriculturalEconomics, 23, 316-330

Rickertsen K. 1998. The effects of advertising in an inversedemand system: Norwegian vegetables revisited. EuropeanReview of Agricultural Economics, 25, 129-140

Sims L. 2007. Lessons learned from Asian H5N1 outbreakcontrol. Avian Diseases, 51, 174-181

Sims L, Ellis T, Liu K, Dyrting K, Wong H, Peiris M, Guan Y,Shortridge K. 2003. Avian influenza in Hong Kong 1997-2002 Avian Diseases, 47, 832-838

Sims L D, Narrod C. 2015. Understanding Avian Influenza.Agriculture Department Animal Production and HealthDivision, USA.

Tonsor G T, Marsh T L. 2007. Comparing heterogeneousconsumption in US and Japanese meat and fish demand.Agricultural Economics, 37, 81-91

Tonsor G T, Mintert J R, Schroeder T C. 2010. US meatdemand: household dynamics and media informationimpacts. Journal of Agricultural and Resource Economics,35, 1-17

USDA. 2013. About BSE. [2014-01-10]. http://www.aphis.usda.gov/wps/portal/footer/topicsofinterest/applyingforpermit?1dmy&urile=wcm%3apath%3a%2Faphis_content_library%2Fsa_our_focus%2Fsa_animal_health%2Fsa_animal_disease_information%2Fsa_cattle_health%2Fsa_bse%2Fct_about_bse

USDA. 2014a. Beef recall news release: FSIS-rc-067-2003update. [2014-01-10]. http://www.fsis.usda.gov/Oa/recalls/prelease/update067-2003.htm?redirecthttp=true

USDA. 2014b. Meat price spreads. [2014-01-10]. http://www.ers.usda.gov/data-products/meat-price-spreads.aspx

Verbeke W, Ward R W. 2001. A fresh meat almost ideal demandsystem incorporating negative TV press and advertisingimpact. Agricultural Economics, 25, 359-374

Wang Z, Bessler D A. 2006. Price and quantity endogeneity indemand analysis: Evidence from directed acyclic graphs.Agricultural Economics, 34, 87-95

WHO. 2014. Cumulative number of confirmed human casesfor avian influenza A(H5N1) reported to WHO, 2003-2013 [2014-01-10]. http://www.who.int/influenza/human_animal_interface/EN_GIP_20131210CumulativeNumberH5N1cases.pdf?ua=1
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