Identifying fisheries dependent communities in EU coastal areas

Fabrizio Natale, Natacha Carvalho, Michael Harrop, Jordi Guillen () and Katia Frangoudes ()
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Jordi Guillen: AMURE - Aménagement des Usages des Ressources et des Espaces marins et littoraux - Centre de droit et d'économie de la mer - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - UBO - Université de Brest - IUEM - Institut Universitaire Européen de la Mer - IRD - Institut de Recherche pour le Développement - INSU - CNRS - Institut national des sciences de l'Univers - UBO - Université de Brest - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Katia Frangoudes: AMURE - Aménagement des Usages des Ressources et des Espaces marins et littoraux - Centre de droit et d'économie de la mer - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - UBO - Université de Brest - IUEM - Institut Universitaire Européen de la Mer - IRD - Institut de Recherche pour le Développement - INSU - CNRS - Institut national des sciences de l'Univers - UBO - Université de Brest - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique

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Abstract: The importance of local communities relying on fisheries is constantly emphasised in the European Union's Common Fishery Policy. Previous studies have analysed fishery employment for the entire EU based on statistical figures aggregated by administrative units at the regional or provincial level. This paper adopts a geographical approach to identify EU coastal communities relying on fisheries using accessibility analysis, principles at the basis of gravity models and disaggregated population and employment statistics. The dependency on fisheries is calculated comparing estimated employment from fisheries at each port with general employment in the areas of accessibility surrounding the port. By considering spatially disaggregated statistics the importance of fishing activities for specific local communities emerges more clearly in respect of previous studies. The map of fisheries dependent coastal communities identifies in 2010, 388 communities, out of 1697, with dependency ratios above 1%. Around 54% of total fishery employment is estimated in these areas. In terms of policy support, identifying and mapping these local fishing coastal communities is of key importance considering the strong priority assigned by the new European Union's Common Fishery Policy to fishery management at the regional level.

Keywords: Fisheries employment; Coastal communities; Accessibility; GIS; Gravity models (search for similar items in EconPapers)
Date: 2013-11-01
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Citations: View citations in EconPapers (4)

Published in Marine Policy, 2013, 42, pp.Pages 245-252. ⟨10.1016/j.marpol.2013.03.018⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00835566

DOI: 10.1016/j.marpol.2013.03.018

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