Industry-level estimates of export quality accounting for global value chains

Offering high-quality versions of a product provides countries with a competitive advantage. Economic measures of countries' export quality, however, neglect that exported goods depend on foreign parts and components supplied by other countries. We provide a novel industry-level dataset of export quality that takes such global input-output linkages into account. We therefore link conventional export quality measures to input-output tables. This allows us to project out the imported intermediate input quality from overall export quality. The constructed dataset covers 76 countries and 21 industries. Our novel measure is positively correlated with countries' income per capita and with industries' growth of value added. Our data can be used to better understand the role of export quality for industries' international competitiveness, macroeconomic developments, and to investigate how global supply chains matter in this context - an issue that has become apparent through Covid, war-related sanctions, and recent geopolitical restructuring of global supply chains.

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Publication Details

Journal
Scientific Data
Published
2025-03-04
DOI
https://doi.org/10.1038/s41597-025-04668-8
Citations
3
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
9.26

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article

Industry-level estimates of export quality accounting for global value chains

Alberto Celani, Konstantin M. Wacker, Xianjia Ye, Dea Tusha
3 citations
Scientific Data
Global trade and economics
9.26
article

Industry-level estimates of export quality accounting for global value chains

Alberto Celani, Konstantin M. Wacker, Xianjia Ye, Dea Tusha
article en
3 citations

Abstract

Offering high-quality versions of a product provides countries with a competitive advantage. Economic measures of countries' export quality, however, neglect that exported goods depend on foreign parts and components supplied by other countries. We provide a novel industry-level dataset of export quality that takes such global input-output linkages into account. We therefore link conventional export quality measures to input-output tables. This allows us to project out the imported intermediate input quality from overall export quality. The constructed dataset covers 76 countries and 21 industries. Our novel measure is positively correlated with countries' income per capita and with industries' growth of value added. Our data can be used to better understand the role of export quality for industries' international competitiveness, macroeconomic developments, and to investigate how global supply chains matter in this context - an issue that has become apparent through Covid, war-related sanctions, and recent geopolitical restructuring of global supply chains.

Scientific DataVol. 12(1)
University of Groningen (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 3%
Global trade and economics
9.26
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Industry-level estimates of export quality accounting for global value chains — Alberto Celani, Konstantin M. Wacker, et al. · Scientific Data (2025) | TGRS Research Map | TGRS