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A trade network theory

Authors: Hübler, Michael;

A trade network theory

Abstract

This paper introduces a new trade model type. It combines the gravity model, well-known in international economics, with network theory. With this approach, complicated trade networks can be algebraically solved in form of systems of linear (differential) equations. Business cycles and productivity shocks can be represented via complex numbers or the Laplace transformation. With the help of this model, new mechanisms of international trade are identified. Four theoretical examples with numerical applications are presented. First, it is demonstrated how an increase in trade from Asia to North America affects the world economy. Second, an intuitive rule for finding the welfare-optimal tariff is derived. Third, three possibilities for vanishing trade effects (fluctuations) are explained: trade diversion, the 'river-island effect', and overlapping business cycles. Fourth, it is shown how adjustment costs delay the propagation of shocks or business cycles.

Keywords

gravity model, ddc:330, international trade, propagation of shocks, network theory, business cycles, international trade; gravity model; network theory; business cycles; propagation of shocks, F11, F44, F42, jel: jel:F42, jel: jel:F11, jel: jel:F44

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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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