Clustering basque fishing communities

  1. IKERNE DEL VALLE ERKIAGA 1
  2. KEPA ASTORKIZA IKAZURIAGA 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Revista:
Estudios de economía aplicada

ISSN: 1133-3197,  1697-5731

Año de publicación: 2019

Título del ejemplar: Economía azul: las claves para el crecimiento azul

Volumen: 37

Número: 3

Páginas: 60-80

Tipo: Artículo

DOI: 10.25115/EEA.V37I3.2773 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Estudios de economía aplicada

Resumen

El principal objetivo de este trabajo es identificar la taxonomía de las comunidades pesqueras locales del País Vasco (FC) a partir de un conjunto de algoritmos de clúster tanto jerárquicos (i.e. Ward, enlace promedio y completo) como no jerárquicos (k-medias y k-medois) o mixtos (jerárquico-kmedias) y dos conjuntos alternativos de variables a nivel local, {�} and {�}. El primero {�} incluye un conjunto de variables input, output y de estructura de la flota (i.e. valor de las capturas (PQ), número de barcos (NB), valor estimado del capital (K), número de pescadores (L), porcentaje de embarcaciones artesanales (NBA)); mientras que el segundo {�}, incorpora exclusivamente ratios de productividad económica (i.e. PQ/NB, PQ/K, PQ/L). En tanto que las variables en los dos conjuntos de datos están altamente correlacionadas se opta por una aproximación componentes principales-clúster en dos etapas, para así analizar la existencia de potenciales grupos homogéneos de FC descritas en un perfil multivariante. Nuestros resultados avalan la existencia de 4 tipologías de FC. La clasificación resultante es robusta al método y algoritmo empleado

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Información de financiación

This study has received financial support from the Spanish Ministry of Economics and Competitiveness (Project Ref: RTI2018-099225-B-I00).

Financiadores

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