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Vertical Specialization in the EU and the Causality of Trade

Authors: Stephan Huber; Binh Nguyen Thanh;

Vertical Specialization in the EU and the Causality of Trade

Abstract

We use a novel classification scheme to identify three stages of production in the manufacturing sector: parts, components, and final goods. In particular, we offer evidence on the revealed comparative advantage of the EU-27 countries concerning the three vertically separated stages of production. Moreover, we investigate whether, and if so how, imports of parts, and components can work as a predictor for the exports of final goods. We find that countries specialize at different stages of production, and that components are Granger causal for the export of final goods in many countries with a lag of 3 month.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
3
Average
Average
Average
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