Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-26T10:06:26.532Z Has data issue: false hasContentIssue false
  • English
  • Français

The Impact of Inventory on Tuna Price: An Application of Scaling in the Rotterdam Inverse Demand System

Published online by Cambridge University Press:  12 June 2017

Fu-Sung Chiang ,
Jonq-Ying Lee  and
Mark G. Brown
Fu-Sung Chiang
Affiliation:
Institute of Applied Economics, National Taiwan Ocean University, Keelung, Taiwan, Republic of China
Jonq-Ying Lee
Affiliation:
Florida Department of Citrus, Gainesville, Florida
Mark G. Brown
Affiliation:
Florida Department of Citrus, Gainesville, Florida
Get access Rights & Permissions [Opens in a new window]

Abstract

This study adopted the scaling approach to examine the impacts of inventories on tuna auction prices in Japan using the Rotterdam inverse demand system. The inclusion of two inventory variables in the model only increases the number of parameters by two. Results indicate that frozen tunas are more likely to be close substitutes, fresh and frozen tunas of the same species are also likely to be substitutes, and inventory had significant impacts on auction prices.

Keywords

scalingRotterdam inverse demand systemtunainventory
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 33 , Issue 3 , December 2001 , pp. 403 - 411
Copyright
Copyright © Southern Agricultural Economics Association 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allais, M. Traité d'economie pure, tome I, Paris: Imprimerie Nationale, 1943.Google Scholar
Anderson, R. W. “Some Theory of Inverse Demand for Applied Demand Analysis,” European Economic Review 14(1980):281-90.Google Scholar
Barten, A. P. “Family composition, Prices and Expenditure Patterns,” in Hart, P. E., Mills, G., and Whittaker, K. K. (eds.) Econometric Analysis for National Economic Planning, London: Butter-worth, pp. 277-92, 1964.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
Bose, S., and Mcilgorm, A. “Substitutablity Among Species in the Japanese Tuna Market: A Cointegration Analysis,” Marine Resource Economics 11(1996):143–155.Google Scholar
Brown, M. G., Lee, J., and Seale, J. L. Jr. “A Family of Inverse Demand Systems and Choice of Functional Form,” Empirical Economics 20(1995):519-30.Google Scholar
Chow, G. C. Econometrics, New York: McGraw-Hill Company, 1983.Google Scholar
FAO, GLOBEFISH—Tuna Commodity Update , Food and Agriculture Organization of the United Nations, 1997.Google Scholar
Ichimura, S. “A Critical Note on the Definition of Related Goods,” Review of Economic Studies, 18(1951-52):179-83.Google Scholar
Macintosh, R., Price, D., and Griffith, G.R. “Weekly Auction-Retail Price Spreads for Fish in the Sydney Market,” Miscellaneous Bulletin No. 56, New South Wales Agriculture and Fisheries. Australia, 1998.Google Scholar
Ministry of Agriculture, Forestry and Fisheries, Annual Statistics of Fishery Products Marketing, Statistics and Information Department, Ministry of Agriculture, Forestry and Fisheries, Japan, Various Issues, 1984-1999.Google Scholar
Owen, A.D., and Troedson, D.A. “The Japanese Tuna Industry and Market,” The Economics of Papua New Guinea's Tuna Fisheries. Australian Centre for International Agricultural Research (ACIAR) Monograph No. 28:231–238, 1994.Google Scholar
Tintner, G. “Complementarity and Shifts in Demand,” Metroeconomica 4(1952): 1–4.Google Scholar
Williams, S.C. Marketing Tuna in Japan, Queensland Fishing Industry Training Committee: Queensland, Australia, 1986.Google Scholar
Yamamoto, T. “Japan's Tuna Market Today,” Infofish International (March/April): 18–22, 1994.Google Scholar