文章基本信息

标题：Import Demand Estimation and the Generalized Composite Commodity Theorem
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作者：Asche, Frank ; Guttormsen, Atle G. ; Kristofersson, Dadi 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2005
期号：SUPPL
出版社：Food Distribution Research Society
摘要：A frequently encountered problem in import demand estimation is how to account for competition between imports and domestic production. Traditionally, use of the Armington model has been a way to handle this problem. This is a disaggregate model which distinguishes commodities by country of origin with import demand determined in a separable two-step procedure. The model appears frequently in analysis of international agricultural markets. However, the Armington model relies on a set of weak separability assumptions, which several authors have shown to be highly questionable. In this paper, a new aggregation theorem, the Generalized Composite Commodity Theorem (GCCT), is applied to test whether imports can be treated as a separate group. An advantage with the GCCT is that only import data is required to conduct the test. The application is to the imports of swordfish to the U.S. with implications for U.S. and international swordfish management policies.
关键词：Armington;separability;GCCT;demand system;sword fish