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...
| Autores: | , , |
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| 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 |
| Sumario: | 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. |
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