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An Empirical Investigation of Interproduct Relationships Between Domestic and Imported Seafood in the U.S.

Published online by Cambridge University Press:  26 January 2015

Youngjae Lee  and
P. Lynn Kennedy
Youngjae Lee
Affiliation:
Research, LSU AgCenter, Baton Rouge, LA
P. Lynn Kennedy
Affiliation:
LSU AgCenter, Baton Rouge, LA
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Abstract

This study seeks to identify interproduct relationships between domestic catfish and a representative selection of imported seafood. In doing so, this study uses multivariate cointegration and structural analyses. Multivariate cointegration analysis suggests that six imported seafood product groupings form a common market with domestic catfish. Structural analysis reveals that 1) domestic and imported catfish are net and gross quantity substitutes; 2) domestic catfish and imported seafood are normal goods; 3) six imported seafood products are identified as gross quantity substitutes for domestic catfish; and 4) according to the derived Allais coefficients, interaction intensities of imported seafood for domestic catfish (from greatest to least) are as follows: tuna, shrimp, salmon, tilapia, catfish, and trout.

Keywords

catfishmultivariate cointegrationquantity substitutabilityseafood importsstructural analysisD12FI0F1lF13
Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 42 , Issue 4 , November 2010 , pp. 631 - 642
Copyright
Copyright © Southern Agricultural Economics Association 2010

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References

Asche, F., Salvanes, K.G., and Steen, F. “Market Delineation and Demand Structure.” American Journal of Agricultural Economics 79(1997): 139–50.Google Scholar
Barten, A.P., and Bettendorf, L.J. “Price Formation of Fish: An Application of an Inverse Demand System.” European Economic Review 33(1989): 1509–25.Google Scholar
Barten, A.P., and Geyskens, E. “The Negativity Condition in Consumer Demand.” European Economic Review 6(1975):227–60.Google Scholar
Beaulieu, J.J., and Miron, J.A. “Seasonal Unit Roots in Aggregate U.S. Data.” Journal of Econometrics 55(1993):305–28.Google Scholar
Bose, S., Bodmand, M.P., and Campbell, H.F. “Estimation and Significance of Long-Run Relationships Among Fish Prices.” International Journal of Oceans and Oceanography 1,2(2006): 167–82.Google Scholar
Bose, S., and Mcllgorm, A. “Substitutability Among Species in the Japanese Tuna Market: A Cointegration Analysis.” Marine Resource Economics 11(1996): 143–55.Google Scholar
Brown, M.G., Lee, J.Y., and Seale, J.L. “A Family of Inverse Demand Systems and Choice of Functional Form.” Empirical Economics 20(1995):519–30.Google Scholar
Dickey, D.A., and Rossana, R.J. “Cointegrated Time Series: A Guide to Estimation and Hypothesis Testing.” Oxford Bulletin of Economics and Statistics 56,3(1994):326–53.Google Scholar
Dolado, J.J., Jenkinson, T., and Sosvilla-Rivero, S. “Cointegration and Unit Roots.” Journal of Economic Surveys 4(1990):249–73.CrossRefGoogle Scholar
Eales, J. “A Further Look at flexibilities and Elasticities: Comment.” American Journal of Agricultural Economics 78(1996): 1125–29.Google Scholar
Eales, J.S., Durham, C., and Wessells, C.R. “Generalized Models of Japanese Demand for Fish.” American Journal of Agricultural Economics 79(1997): 1153–63.Google Scholar
Engle, F.F., and Granger, C.W.J. “Co-integration and Error Correction: Representation, Estimation, and Testing.” Econometrica 55,2(1987): 251–76.Google Scholar
Harris, R. Using Cointegration Analysis in Econometrie Modeling. London: Prentice Hall, 1995.Google Scholar
Hausman, J.A. “Specification Tests in Econometrics.” Econometrica 46,6(1978): 1251–71.Google Scholar
Houck, J.P. “The Relationship of Direct Price Flexibilities to Direct Price Elasticities.” Journal of Farm Economics 47(1965):789–92.Google Scholar
Huang, K.S. “A Further Look at Flexibilities and Elasticities.” American Journal of Agricultural Economics 76(1994):313–17.Google Scholar
Huang, K.S. “A Further Look at Flexibilities and Elasticities.” American Journal of Agricultural Economics 78(1996): 1130–31.Google Scholar
Hylleberg, S., Engle, R., Granger, C.W.J., and Yoo, H.S. “Seasonal Integration and Cointegration.” Journal of Econometrics 44(1990): 215–38.Google Scholar
Johansen, S. “Statistical Analysis of Cointegration Vectors.” Journal of Economic Dynamics & Control 12(1988):231–54.Google Scholar
Johansen, S., and Juselius, K. “Maximum Likelihood Estimation and Inference on Cointegration with Application to the Demand for Money.” Oxford Bulletin of Economics and Statistics 52(1990): 169–210.Google Scholar
Lee, Y.J., and Kennedy, P.L. “An Examination of Inverse Demand Models: An Application to the U.S. Crawfish Industry.” Agricultural and Resource Economics Review 37,2(2008): 243–56.Google Scholar
Lee, Y.J., and Kennedy, P.L. “A Demand Analysis of the Korean Wine Market Using an Unrestricted Source Differentiated LA/AIDS Model.” Journal of Wine Economics 4,2(2009): 185–200.Google Scholar
Ligeon, C., Jolly, C.M., and Jackson, J.D. “Evaluation of the Possible Threat of NAFTA on U.S. Catfish Industry Using a Traditional Import Demand Function. Journal of Food Distribution Research 27,2(1996):33–41.Google Scholar
Park, H.J., Thurman, W.N., and Easley, J.E. “Modeling Inverse Demand for Fish: Empirical Welfare Measurement in Gulf and South Atlantic Fisheries.” Marine Resource Economics 19(2004):333–51.Google Scholar
Thurman, W.N. “Endogeneity Testing in a Supply and Demand Framework.” Review of Economics and Statistics 68,4(1986):638–46.Google Scholar
Wu, D.M. “Alternative Tests of Independence Between Stochastic Regressors and Disturbances.” Econometrica 41,4(1973):733–50.Google Scholar
Tomek, W.G., and Robinson, K.L. Agricultural Product Prices. 3rd ed. Ithaca, NY, London: Cornell University Press, 1990.Google Scholar