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Tracing Trade and Improving Predictions: Why the Global Value Chain position of Dutch manufactory sectors matters in assessing the impacts of the Trans-Atlantic Trade and Investment Partnership (TTIP)

Alberts, E. (2017) Tracing Trade and Improving Predictions: Why the Global Value Chain position of Dutch manufactory sectors matters in assessing the impacts of the Trans-Atlantic Trade and Investment Partnership (TTIP). Master thesis.

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Abstract

When assessing the merits of trade treaties, many indicators can be used. The most influential predictors are distance and the size of an economy. Other predictors are cultural and geographical proxies. The direction of trade is modelled by a Ricardian-based estimator. However, this mechanism has been criticized, especially when it comes to predicting changes in the fragmentation of production. A new generation of datasets makes it possible to shed a different light on the fragmentation of production, through what is called the GVC position. This position can either be upstream, or at the beginning of the production process, or downstream. In my thesis, I argue that like many economic phenomena, the GVC position of sectors and countries has a distinct geography as well. Also, it is a highly influential predictor in the US-Dutch trade relationship, and how the Dutch manufactory sector may profit from closer Trans-Atlantic ties.

Item Type: Thesis (Master)
Degree programme: Economic Geography
Supervisor: McCann, P.
Date Deposited: 23 Apr 2020 05:31
Last Modified: 23 Apr 2020 05:31
URI: https://frw.studenttheses.ub.rug.nl/id/eprint/1784

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