Cluster mapping in Spain: Exploring the correlation between industrial agglomeration and regional performance

Rudy Fernandez-Escobedo, Begoña Eguía-Peña () and Leire Aldaz-Odriozola ()
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Begoña Eguía-Peña: Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU)
Leire Aldaz-Odriozola: Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU)

INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, 2024, issue 59, 81-104

Abstract: This paper presents a quantitative cluster mapping methodology for traded industries, adapted for the Spanish case; also explores the correlation between the existence of clusters and regional performance. The study is made at NUTS-2 level, and a total of forty-seven out of eighty-eight 2-digits codes for CNAE-2009 are analyzed; ICT Index and Industry 4.0 Index are also designed and computed. A six-step methodology is applied departing from cross-industry linkages and implementing clustering algorithms; one set of clusters is elected and mapped over territory. The correlation analysis shows that a high number of clusters based on absolute employment data is positively correlated with variables associated with competitiveness, education, ICT adoption, and Industry 4.0, while no significant correlation is found for GDP per capita nor earning per worker.

Keywords: Cluster analysis; agglomeration economics; Industry 4.0; classification methods; industrial agglomeration. (search for similar items in EconPapers)
JEL-codes: O18 O52 R12 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ris:invreg:0532

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