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

Authors

  • Rudy Fernández Escobedo Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU) https://orcid.org/0000-0001-5121-1877
  • Begoña Eguía Peña Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU)
  • Leire Aldaz Odriozola Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU)

DOI:

https://doi.org/10.38191/iirr-jorr.24.012

Keywords:

cluster analysis, agglomeration economics, Industry 4.0, classification methods, industrial agglomeration

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. e study is made at NUTS-2 level, and a total of forty-seven out of eighty-eight 2-digits codes for CNAE2009 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.

Published

2024-04-17

Issue

Section

Artículos