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HORIZONTAL AND VERTICAL INTRA-INDUSTRY TRADE IN THE U.S. FOOD PROCESSING INDUSTRY

Authors: Sun, Changyou; Koo, Won W.; Sun, Changyou; Koo, Won W.;

HORIZONTAL AND VERTICAL INTRA-INDUSTRY TRADE IN THE U.S. FOOD PROCESSING INDUSTRY

Abstract

Intra-industry trade (IIT) in the U.S. food processing industry is evaluated in this study. The IIT index is disentangled into horizontal and vertical components and evaluated at 6-digit HTS product levels. The degree of IIT varies across different trading partners and sub-industries, and, for the U.S. food processing industry as a whole, it has been steadily increasing since 1989. Most of the IIT in the U.S. food processing industry is vertical in nature. However, horizontal IIT has been increasing faster than vertical IIT. The determinants of horizontal and vertical IIT are examined in a multiple-industry and multiple-country model. Industry characteristics show more significant effects on IIT than country characteristics. Product differentiation, market structure, and scale economies are all relevant in explaining the variation of IIT.

Keywords

International Relations/Trade, Industrial Organization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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