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Slicing Up Global Value Chains

Open access
Timmer, Marcel P., Erumban, Abdul Azeez, Los, Bart, Stehrer, Robert, de Vries, Gaaitzen J.·2014·Journal of Economic Perspectives

Abstract

In this paper, we “slice up the global value chain” using a decomposition technique that has recently become feasible due to the development of the World Input-Output Database. We trace the value added by all labor and capital that is directly and indirectly needed for the production of final manufacturing goods. The production systems of these goods are highly prone to international fragmentation as many stages can be undertaken in any country with little variation in quality. We seek to establish a series of facts concerning the global fragmentation of production that can serve as a starting point for future analysis. We describe four major trends. First, international fragmentation, as measured by the foreign value-added content of production, has rapidly increased since the early 1990s. Second, in most global value chains there is a strong shift towards value being added by capital and high-skilled labor, and away from less-skilled labor. Third, within global value chains, advanced nations increasingly specialize in activities carried out by high-skilled workers. Fourth, emerging economies surprisingly specialize in capital-intensive activities.

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Metadata

Authors
Timmer, M. P., Erumban, A. A., Los, B., Stehrer, R., & de Vries, G. J.
Venue
Journal of Economic Perspectives
Published
2014-05-01
Volume
28
Issue
2
Pages
99-118
ISSN
0895-3309 (ISSN-L)
OpenAlex
W1989104954
Cited by
968
References
7
FWCI
196.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Slicing Up Global Value Chains. https://app.cochat.ai/papers/10.1257/jep.28.2.99
The paper
Timmer, M. P., Erumban, A. A., Los, B., Stehrer, R., & de Vries, G. J. (2014). Slicing Up Global Value Chains. Journal of Economic Perspectives. https://doi.org/10.1257/jep.28.2.99

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.