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 cod...

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Detalles Bibliográficos
Autores: Fernández Escobedo, Rudy, Eguía Peña, Begoña, Aldaz Odriozola, Leire
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/61367
Acceso en línea:http://hdl.handle.net/10017/61367
https://dx.doi.org/10.38191/iirr-jorr.24.012
Access Level:acceso abierto
Palabra clave:Cluster analysis
Agglomeration economics
Industry 4.0
Classification methods
Industrial agglomeration
Análisis clúster
Economías de la aglomeración
Industria 4.0
Métodos de clasificación
Aglomeración industrial
Economía
Geografía
Sociología
Economics
Geography
Sociology
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network_acronym_str ES
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repository_id_str
spelling Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performanceMapeo de clústers en España: explorando la correlación entre la aglomeración industrial y el desempeño regionalFernández Escobedo, RudyEguía Peña, BegoñaAldaz Odriozola, LeireCluster analysisAgglomeration economicsIndustry 4.0Classification methodsIndustrial agglomerationAnálisis clústerEconomías de la aglomeraciónIndustria 4.0Métodos de clasificaciónAglomeración industrialEconomíaGeografíaSociologíaEconomicsGeographySociologyThis 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.Esta investigación presenta una metodología cuantitativa para el mapeo de clústers en España; también explora la correlación entre la existencia de dichos clústers y el desempeño regional. El estudio se realiza a nivel NUTS-2, y se analizan un total de cuarenta y siete códigos CNAE-2009; asimismo se diseñan y calculan el índice TIC y el índice Industria 4.0. Se aplica una metodología de seis pasos basada en vínculos interindustriales y en un análisis clúster; se selecciona un grupo de clústers y se mapea sobre el territorio. El análisis de correlación muestra que un alto número de clústers basado en datos absolutos de empleo está positivamente relacionado con variables asociadas a la competitividad, educación, adopción de las TIC e Industria 4.0, mientras que no se encuentra correlación significativa con el PIB per cápita ni con las ganancias por trabajador.Asociación Española de Ciencia Regional (AECR)20242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/61367https://dx.doi.org/10.38191/iirr-jorr.24.012reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/613672026-06-18T11:13:07Z
dc.title.none.fl_str_mv Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
Mapeo de clústers en España: explorando la correlación entre la aglomeración industrial y el desempeño regional
title Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
spellingShingle Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
Fernández Escobedo, Rudy
Cluster analysis
Agglomeration economics
Industry 4.0
Classification methods
Industrial agglomeration
Análisis clúster
Economías de la aglomeración
Industria 4.0
Métodos de clasificación
Aglomeración industrial
Economía
Geografía
Sociología
Economics
Geography
Sociology
title_short Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
title_full Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
title_fullStr Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
title_full_unstemmed Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
title_sort Cluster mapping in Spain: exploring the correlation between industrial agglomeration and regional performance
dc.creator.none.fl_str_mv Fernández Escobedo, Rudy
Eguía Peña, Begoña
Aldaz Odriozola, Leire
author Fernández Escobedo, Rudy
author_facet Fernández Escobedo, Rudy
Eguía Peña, Begoña
Aldaz Odriozola, Leire
author_role author
author2 Eguía Peña, Begoña
Aldaz Odriozola, Leire
author2_role author
author
dc.subject.none.fl_str_mv Cluster analysis
Agglomeration economics
Industry 4.0
Classification methods
Industrial agglomeration
Análisis clúster
Economías de la aglomeración
Industria 4.0
Métodos de clasificación
Aglomeración industrial
Economía
Geografía
Sociología
Economics
Geography
Sociology
topic Cluster analysis
Agglomeration economics
Industry 4.0
Classification methods
Industrial agglomeration
Análisis clúster
Economías de la aglomeración
Industria 4.0
Métodos de clasificación
Aglomeración industrial
Economía
Geografía
Sociología
Economics
Geography
Sociology
description 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.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/61367
https://dx.doi.org/10.38191/iirr-jorr.24.012
url http://hdl.handle.net/10017/61367
https://dx.doi.org/10.38191/iirr-jorr.24.012
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Asociación Española de Ciencia Regional (AECR)
publisher.none.fl_str_mv Asociación Española de Ciencia Regional (AECR)
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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