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Implications of U.S. Trade Agreements and U.S. NutritionPolicies for Produce Production, Demand, and Trade

Published online by Cambridge University Press:  26 January 2015

Marco A. Palma
Affiliation:
Department of Agricultural Economics, Texas A&M University, College Station, Texas
Luis A. Ribera
Affiliation:
Department of Agricultural Economics, Texas A&M University, College Station, Texas
David Bessler
Affiliation:
Department of Agricultural Economics, Texas A&M University, College Station, Texas

Extract

This study used aggregated data for fresh vegetables and fresh fruits toanalyze how trade flows in the fresh produce industry have changed undertrade agreements and to assess the potential implications to nutritionpolicies in the United States. The first part of the analysis uses aBai-Perron test to endogenously determine any structural break points invegetable and fruit trade movements and prices. Directed acyclic graphs andhistorical decompositions are used to establish causal patterns oninnovations from vector autoregression models fitted to annual observationsof trade flows, prices, and income. The results showed that trade agreementshave had significant impacts to the produce industry. Income was a majordeterminant of domestic fruit production and imports.

Type
Session Title: Future Domestic and International Competitiveness of the Southern Fruit and Vegetable Industry
Copyright
Copyright © Southern Agricultural Economics Association 2013

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References

Bai, J., and Perron, P.. “Computation and Analysis of Multiple Structural Change Models.Journal of Applied Econometrics 18(2003):122.10.1002/jae.659Google Scholar
Bessler, D.A., and Akleman, D.G.. “Farm Prices, Retail Prices, and Directed Graphs: Results for Pork and Beef.American Journal of Agricultural Economics 80(1998):1145-50.Google Scholar
Brooks, N., Regmi, A., and Jerardo, A.. U.S. food import patterns, 1998-2007. Economic Research Service Report. FAU-125 (2009). Internet site: http://www.ers.usda.gov/media/157859/faul25_l_.pdf (Accessed November 16, 2012).Google Scholar
Crawford, T.The Impact of NAFTA on Agricultural Trade.” Revista Mexicana de Agro-negocios. Volume 28, January-June 2011.Google Scholar
Dong, D., and Biing-Hwan, L.. Fruit and Vegetable Consumption by Low-Income Americans: Would a Price Reduction Make a Difference? Economic Research Report No. 70, Economic Research Service, U.S. Department of Agriculture, 2009. Internet site: http://www.ers.usda.gov/media/185375/err70.pdf (Accessed May 14, 2013).Google Scholar
Ferner, P., and Zhen, C.. “Habit Effects and Producer Welfare In the Fresh Vegetable Trade.” 201 lAAEA Annual Meeting: Poster, July 24-26, Pittsburgh, PA, 2011.Google Scholar
Hoover, K.D.Automatic Inference of the Contemporaneous Causal Order of a System of Equations.Econometric Theory 21(2005):6977.Google Scholar
Palma, M.A., and Jetter, K.M.. “Will the 2010 Dietary Guidelines for Americans Be Any More Effective for Consumers?Choices (New York, NY.) (2012):27(1).Google Scholar
Palma, M.A., Ribera, L.A., Bessler, D., Paggi, M., and Knutson, R.D.. “Potential Impacts of Foodborne Illness Incidences on Market Movements and Prices of Fresh Produce in the U.S.Journal of Agricultural and Applied Economics 42(2010):731-41.S1074070800003928Google Scholar
Pearl, J. Causality: Models, Reasoning and Inference. New York, NY: Cambridge University Press, 2000.Google Scholar
Ribera, L.A., Yue, C., and Holcomb, R.. “Geographic Impacts on US Agriculture of the 2010 Dietary Nutrition Guidelines.” Choices (New York, NY.) (2012):27(1).Google Scholar
Richardson, T., and Spirtes, P.. “Automated Discovery of Linear Feedback Models.” Computation, Causation and Discovery. Glymour, C. and Cooper, G., eds. Cambridge, MA: MIT Press, 1999.Google Scholar
Sims, C.Macroeconomics and Reality.Econometrica: Journal of the Econometric Society 48(1980):148.10.2307/1912017Google Scholar
Spirtes, P., Glymour, C., and Schemes, R.. Causation, Prediction and Search. Cambridge, MA: MIT, 2000.Google Scholar
Swanson, N.R., and Granger, C.. “Impulse Response Functions Based on a Causal Approach to Residual Orthogonalization in Vector Auto-regressions.Journal of the American Statistical Association 92(1997):357-67.10.1080/01621459.1997.10473634Google Scholar
U.S. Department of Agriculture. Economic Research Service. Food Availability (per capita) Data System. 2012a. Internet site: http://ers.usda.gov/data-products/food-availability-(per-capita)-data-system.aspx (Accessed November 16, 2012).Google Scholar
U.S. Department of Agriculture. Economic Research Service. Fruit and Tree Nuts Yearbook. 2012b. Internet site: http://usda.mannlib.cornell.edu/MannUsda/viewDocumentInfo.do?documentID = 1377 (Accessed November 16, 2012).Google Scholar
U.S. Department of Agriculture. Economic Research Service. Vegetable and Pulses Yearbook. 2012c. Internet site: http://usda.mannlib.cornell.edu/MannUsda/viewDocumentInfo.do?documentID = 1858 (Accessed November 16, 2012).Google Scholar
U.S. Department of Agriculture. U.S. Department of Health and Human Services. Dietary Guidelines for Americans. 2010. Internet site: www.dietaryguidelines.gov (Accessed November 16, 2012).Google Scholar
U.S. Department of Commerce. Census, U.S. Bureau. Historical Income Tables. 2012. Internet site: www.census.gov/hhes/www/income/data/historical/people/ (Accessed November 16, 2012).Google Scholar
U.S. Department of Labor. Bureau of Labor Statistics. Consumer Price Index Database. Internet site: www.bls.gov/data/ (Accessed November 16, 2012).Google Scholar