Employment imbalances in EU regions: technological dependence or high-tech trade centrality?

We analyse the role of technological dependence and interregional trade centrality in explaining a region’s employment performance. We first identify the core–periphery technological structure of European Union (EU) regions, clustering them based on their high-tech trade relations (trade blocks) and technological and economic indicators (place-based regional groups). We show that EU regions have a fractal structure: blocks at the core and periphery of the high-tech trade network are divided into core and peripheral subgroups, which differ significantly in terms of innovation and employment performance. Next, the econometric analysis shows that buyer centrality is the main component of employment growth (especially in services), but within trade blocks it has to be combined with low technological dependence on more innovative regions (especially in manufacturing). Cohesion policies should pay attention to the fractal structure of regional inequalities, and Smart Specialisation strategies should consider that unrelated diversification towards activities intensive in the use of high-tech inputs may be more conducive to employment growth.

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Publication Details

Journal
Regional Studies
Published
2024-09-02
DOI
https://doi.org/10.1080/00343404.2024.2392794
Citations
3
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
6.69

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article

Employment imbalances in EU regions: technological dependence or high-tech trade centrality?

María Savona, Ariel Luis Wirkierman, Tommaso Ciarli
3 citations
Regional Studies
Regional Development and Policy
6.69
article

Employment imbalances in EU regions: technological dependence or high-tech trade centrality?

María Savona, Ariel Luis Wirkierman, Tommaso Ciarli
article en
3 citations

Abstract

We analyse the role of technological dependence and interregional trade centrality in explaining a region’s employment performance. We first identify the core–periphery technological structure of European Union (EU) regions, clustering them based on their high-tech trade relations (trade blocks) and technological and economic indicators (place-based regional groups). We show that EU regions have a fractal structure: blocks at the core and periphery of the high-tech trade network are divided into core and peripheral subgroups, which differ significantly in terms of innovation and employment performance. Next, the econometric analysis shows that buyer centrality is the main component of employment growth (especially in services), but within trade blocks it has to be combined with low technological dependence on more innovative regions (especially in manufacturing). Cohesion policies should pay attention to the fractal structure of regional inequalities, and Smart Specialisation strategies should consider that unrelated diversification towards activities intensive in the use of high-tech inputs may be more conducive to employment growth.

Regional StudiesVol. 59(1)
University of Sussex (GB), United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (NL), Maastricht University (NL), Goldsmiths University of London (GB), Libera Università Internazionale degli Studi Sociali Guido Carli (IT)
Horizon 2020 Framework Programme, Economic and Social Research Council
Decent work and economic growth
Openalex Percentile: Top 3%
Regional Development and Policy
6.69
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Employment imbalances in EU regions: technological dependence or high-tech trade centrality? — María Savona, Ariel Luis Wirkierman, et al. · Regional Studies (2024) | TGRS Research Map | TGRS