Combining Productivity with Economic Resilience in European Regions

Giulia Iannone (), Andrea Ascani (), Alessandra Faggian and Alexandra Tsvetkova ()
Additional contact information
Giulia Iannone: Gran Sasso Science Institute
Andrea Ascani: Gran Sasso Science Institute
Alexandra Tsvetkova: OECD Trento Centre for Local Development

No 2023-07, Discussion Paper series in Regional Science & Economic Geography from Gran Sasso Science Institute, Social Sciences

Abstract: There is an increasing need for today’s economies to be both productive and resilient, but the interplay between these two fundamental factors for economic growth has been neglected in the literature. This paper aims at filling this gap by adopting an evolutionary framework for the joint study of productivity and resilience and proposes a regional taxonomy based on characteristics of the industrial structure. Data on European regions at the NUTS2 level are used first to classify regions as productive and/or resilient and then to analyze how certain regional features, in particular related and unrelated variety, relate to a combined measure of productivity and resilience. Results show that the spatial distribution of productive and resilient regions follows a core– periphery pattern and that related and unrelated variety have significant but heterogeneous effects on regions’ economic performance.

Keywords: productivity; regional resilience; industrial structure; relatedness (search for similar items in EconPapers)
JEL-codes: B52 O4 R1 (search for similar items in EconPapers)
Pages: 49 pages
Date: 2023-12, Revised 2024-10
New Economics Papers: this item is included in nep-eec, nep-eff, nep-eur, nep-geo, nep-hme, nep-sbm, nep-tid and nep-ure
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.gssi.it/images/discussion%20papers%20rseg/2023/DPRSEG_2023-07.pdf First version, 2020 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ahy:wpaper:wp44

Access Statistics for this paper

More papers in Discussion Paper series in Regional Science & Economic Geography from Gran Sasso Science Institute, Social Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Andrea Ascani ().