Rudy Fernández-Escobedo, Begoña Eguía-Peña, Leire Aldaz-Odriozola

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

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

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To cite this article

Fernández-Escobedo, R. ; Eguía-Peña, B. ; Aldaz-Odriozola, L. (2024). Cluster mapping in Spain: Exploring the correlation between industrial agglomeration and regional performance. Investigaciones Regionales - Journal of Regional Research, 59, 81-104.