AH1N1 impact on the Mexican pork meat market

  • Edgardo Ayala Tecnológico de Monterrey
  • Joana Chapa Universidad Autónoma de Nuevo León
Keywords: swine flu (AH1N1), food scares, Mexican meat market
JEL Classification: Q110, C670, C680

Abstract

This article presents estimates of AH1N1’s effects on the consumption of pork through an Almost Ideal Demand System (AIDS) for meat consumption in Mexico. Additionally, indirect effects through the Mexican economy are estimated using a general equilibriummodel that captures the effects of intersectoral relationships and the induced effects by the circular flow of income. It is concluded that the presumed risk of contracting AH1N1 via pork consumption provoked total economic losses of $94 million. The rumor affected the pork sector, the grains sector and the manufacturing sector of food, beverages and tobacco. The poor rural households were the most affected.

References

Anderson, G. and R. Blundell. 1983. Testing restrictions in a flexible dynamic demand system: An application to consumers expenditure in Canada, Review of Economics Studies, 50: 397-410.

Anderson, G. and R. Blundell. 1984. Consumer non-durables in the UK: A dynamic demand system, The Economic Journal, 94: 35-44.

Antón, A. 2005. Average effective tax rates in Mexico, Economía Mexicana, 14: 185-215.

Armington, P. 1969. A theory of demand for products distinguished by place of production, IMF Staff Papers, 16: 159-176.

Ayala, E. and J. Chapa. 2014. ¿DÓNDE QUEDÓ EL TRABAJO? Una propuesta para medir la participación del ingreso laboral en México, El Trimestre Económico, LXXXI(4): 324, 989-1015.

Ayala, E. and J. Chapa. 2011. Efectos de corto plazo de los shocks en los precios internacionales de los productos agrícolas en México, Economía Mexicana, XX: 311-355.

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

Chang, C., L. Duu-Hwa, L. Hsin-Chun, and H. Shih-Shun. 2007. The potential economic impact of avian flu pandemic on Taiwan, American Agricultural Economics Association 2007 Annual Meeting, Portland, Oregon (unpublished).

CIESA. Matriz insumo producto de México, 2000, México.

Crafton, S. M., G. E. Hoffer, and R. J. Reilly. 1981. Testing the impact of recalls on the demand of automobiles, Economic Inquiry, 19: 694-703.

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

Eales, J. S. and L. J. Unnevehr. 1988. Demand for beef and chicken products: Separability and structural change, American Journal of Agricultural Economics, 70: 521-532.

Eakins, J. M. and L. A. Gallagher. 2003. Dynamic almost ideal demand systems: An empirical analysis of alcohol expenditure in Ireland, Applied Economics, 35: 1025-1036.

Garner, M. G. and M. B. Lack. 1995. An evaluation of alternate control strategies for foot-and-mouth disease in Australia: A regional approach, Preventive Veterinary Medicine, 23: 9-32.

Gollin, D. 2002. Getting income shares right, Journal of Political Economy, 110: 458-474.

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

Henneberry, S. R. and S. Hwang. 2007. Meat demand in South Korea: An application of the restricted source differentiated Almost Ideal Demand System model, Journal of Agricultural and Applied Economics, 39: 47-60.

Instituto Nacional de Estadística y Geografía (INEGI). 2004. Encuesta de ingreso y gasto de los hogares, 2004, México.

Instituto Nacional de Estadística y Geografía (INEGI). 2005. Encuesta nacional de ocupación y empleo, second quarter 2005, México.

Henneberry, S. R. and J. E. Mutondo. 2007. A source-differentiated analysis of US meat demand, Journal of Agricultural and Resource Economics, 32: 515-533.

Herrmann, R., S. R. Thompson, and S. Krischik-Bautz. 2002. Bovine spongiform encephalopathy and generic promotion of beef: An analysis for “quality from Bavaria”, Agribusiness, 18: 369-385.

Kawashima, S. and D. A. P. Sari. 2010. Time-varying Armington elasticity of substitution and country-of-origin bias: From the dynamic perspective of the Japanese demand from beef imports, The Australian Journal of Agricultural and Resource Economics, 54: 27-41.

Kinnucan, H. W., H. Xiao, H. Chung-Jen, and J. D. Jackson. 1997. Effects of health information and generic advertising on US meat demand, American Journal of Agricultural Economics, 79: 13-23.

Mahul, O. and B. Durand. 2000. Simulated economic consequences of foot- and-mouth disease epidemics and their public control in France, Preventive Veterinary Medicine, 47: 23-38.

Marsh, T. L., T. C. Schroeder, and J. Mintert. 2004. Impacts of meat product recalls on consumer demand in the US, Applied Economics, 36: 897-909.

Mazzocchi, M. 2006. No news is good news: Stochastic parameters versus media coverage indices in demand models after food scares, American Journal of Agricultural Economics, 88: 727-741.

Nogueria L., T. L. Marsh, P. R. Tozer and D. Peel. 2011. Foot-and-mouth disease and the cattle industry in Mexico, Agricultural Economics, 42: 33-44.

Oniki, S. 2006. Valuing food-borne risks using time-series data: The case of E.coliO157:H7 and BSE crises in Japan, Agribusiness, 22: 219-232.

Peterson, H. and Y. Chen. 2005. The impact of BSE on Japanese retail meat demand, Agribusiness, 21: 313-327.

Piggott, N. and T. L. Marsh. 2004. Does food safety information impact US meat demand? Journal of Agricultural Economics, 86: 154-174.

Saghaian, S. 2007. Beef safety shocks and dynamics of vertical price adjustment: The case of BSE discovery in the US beef sector, Agribusiness, 23: 333-348.

Saghaian, S., L. J. Maynard, and M. R. Reed. 2007. The effects of E. coli 0157:H7, FMD and BSE on Japanese retail beef prices: A historical decomposition, Agribusiness, 23: 131-147.

Sanjuán, A. I. and P. J. Dawson. 2003. Price transmission, BSE and structural breaks in the UK meat sector, European Review of Agricultural Economics, 30: 155-172.

Shrestha S. S., D. L. Swerdlow, R. H. Borse, V. S. Prabhu, L. Finelli, C. Y. Atkins, K. Owusu-Edusei, B. Bell, P. S. Mead, M. Biggerstaff, L. Brammer, H. David- son, D. Jernigan, M. A. Jhung, L. A. Kamimoto, T. L. Merlin, M. Nowell, S. C. Redd, C. Reed, A. Schuchat, and M. I. Meltzer. 2011. Estimating the burden of 2009 pandemic influenza A (H1N1) in the United States (April 2009-April 2010), Clinical Infectious Diseases, 52: S75-82.

Smith, R. D., M. R. Keogh-Brown, T. Barnett, J. and Tait. 2009. The economy-wide impact of pandemic influenza on the UK: A computable general equilibrium modeling experiment, British Medical Journal, 2009: 339:b4571.

Sobarzo, H. 2011. Modelo de insumo-producto en formato de matriz de contabilidad social. Estimación de multiplicadores e impactos para México, 2003, Economía Mexicana, XX(2): 237-280.

Tozer, P. and T. L. Marsh. 2012. Domestic and trade impact of foot-and-mouth disease on the Australian beef industry, The Australian Journal of Agricultural and Resource Economics, 56: 385-404.

Urzúa, C. M. 2013. Distributive and regional effects of monopoly power, Economía Mexicana, XXII(2): 279-295.

Verbeke, W., R. W. Ward, and J. Viaene. 2000. Probit analysis of fresh meat consumption in Belgium: Exploring BSE and television communication impact, Agribusiness, 16: 215-234.

Published
01-01-2017
How to Cite
AyalaE., & ChapaJ. (2017). AH1N1 impact on the Mexican pork meat market. Estudios Económicos, 32(1), 3-25. https://doi.org/10.24201/ee.v32i1.1
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