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

Journal:
Estudios de economía aplicada

ISSN: 1133-3197,  1697-5731

Year of publication: 2019

Issue Title: Economía azul: las claves para el crecimiento azul

Volume: 37

Issue: 3

Pages: 60-80

Type: Article

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

More publications in: Estudios de economía aplicada

Abstract

The main objective of this paper is to identify the taxonomy of Basque local fishing communities (FC) using a set of either, hierarchical (i.e. Ward, average and complete linkage), non-hierarchical (i.e. k-means and k-medoids) and mixed hierarchical-kmeans clustering algorithms; and two alternative fishing related variates at fishing community level, {�} and {�}. The former {�} includes a set of input, output and fleets’ structure variables (i.e. the value of landings (PQ), the number of vessels (NB), the estimated capital value (K), the number of fishermen (L), the local level percentage of the small scale artisanal vessels (NBA); while the latter, {�}, exclusively incorporates economic performance productivity ratios (i.e. PQ/NB, PQ/K, PQ/L). Since the variables in both the variates are highly correlated, we are applying a two-step principal component clustering approach in order to find potential groups of homogeneous FC described on a multivariate profile. Our results support 4 FC typologies. The classification is robust to alternative methods and algorithms.

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Funding information

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

Funders

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