Functional specialization and upgrading along global value chains in European regions: new insights from FDI data

Abstract The geographic dispersion of production activities has led regions to increasingly specialize in distinct value chain functions, giving rise to a finer spatial division of labour. Using georeferenced FDI data on cross-border investments distinguished by value chain function, we provide the first systematic mapping of functional specialization across European NUTS-2 regions over the period 2003–2018. We show that the most intangible-intensive functions at the upper ends of value chains are concentrated in a small number of advanced regions, while lower-income ones are largely and persistently engaged in production operations. We document the strong spatial persistence of functional specialization before and after the 2008 crisis and find that regions trapped in production functions are the least likely to upgrade towards more knowledge-intensive industries. By contrast, only the few regions which experienced functional upgrading trajectories have been able to diversify towards more innovative industries, revealing a close interdependence between functional and inter-sectoral upgrading. Accordingly, regional policies should aim at favouring functional upgrading of laggard regions as a key vehicle for economic and spatial convergence in Europe.

Authors

Institutions

Publication Details

Journal
The Annals of Regional Science
Published
2026-08-25
DOI
https://doi.org/10.1007/s00168-026-01547-x
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functional specialization and upgrading along global value chains in European regions: new insights from FDI data

Elena Paglialunga, Andrea Coveri, Antonello Zanfei
The Annals of Regional Science
Regional Economics and Spatial Analysis
article

Functional specialization and upgrading along global value chains in European regions: new insights from FDI data

Elena Paglialunga, Andrea Coveri, Antonello Zanfei
article en

Abstract

Abstract The geographic dispersion of production activities has led regions to increasingly specialize in distinct value chain functions, giving rise to a finer spatial division of labour. Using georeferenced FDI data on cross-border investments distinguished by value chain function, we provide the first systematic mapping of functional specialization across European NUTS-2 regions over the period 2003–2018. We show that the most intangible-intensive functions at the upper ends of value chains are concentrated in a small number of advanced regions, while lower-income ones are largely and persistently engaged in production operations. We document the strong spatial persistence of functional specialization before and after the 2008 crisis and find that regions trapped in production functions are the least likely to upgrade towards more knowledge-intensive industries. By contrast, only the few regions which experienced functional upgrading trajectories have been able to diversify towards more innovative industries, revealing a close interdependence between functional and inter-sectoral upgrading. Accordingly, regional policies should aim at favouring functional upgrading of laggard regions as a key vehicle for economic and spatial convergence in Europe.

The Annals of Regional ScienceVol. 75(3)
Roma Tre University (IT), University of Urbino (IT)
European Commission, Università degli Studi di Urbino Carlo Bo
Decent work and economic growth
Openalex Percentile: Top 5%
Regional Economics and Spatial Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.