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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Global Value Chains - Growth Contribution Database

Authors: Koppány, Krisztián;

Global Value Chains - Growth Contribution Database

Abstract

This database supports a novel dynamic method for global value chain (GVC) analysis. It breaks down year-by-year real economic growth of several countries, considering contributions from value-added sources, final producers, users, and different types of value chains: pure domestic, traditional trade, and simple and complex GVCs. The approach, based on input-output theory, is applied to the WIOD and Long-run WIOD datasets to create the GVC Growth Contribution Database (GVC-GCD). For a detailed description please refer to the following working paper: Koppány, K., & Vakhal, P. (2026). Economic Growth in Global Value ChainsLessons from the Golden Age with a New Input-Output Decomposition Framework and Database. https://doi.org/10.5281/zenodo.20535821

Keywords

economic growth, global value chains, input-output analysis, decompositions, GVC Growth Contribution Database (GVC-GCD)

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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