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Identifying fisheries dependent communities in EU coastal areas

Author

Listed:
  • Fabrizio Natale
  • Natacha Carvalho
  • Michael Harrop
  • 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)

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.

Suggested Citation

  • Fabrizio Natale & Natacha Carvalho & Michael Harrop & Jordi Guillen & Katia Frangoudes, 2013. "Identifying fisheries dependent communities in EU coastal areas," Post-Print hal-00835566, HAL.
    • Handle: RePEc:hal:journl:hal-00835566
    DOI: 10.1016/j.marpol.2013.03.018
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    Citations

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    Cited by:

    1. Stella Sofia I. Kyvelou & Dimitrios G. Ierapetritis, 2020. "Fisheries Sustainability through Soft Multi-Use Maritime Spatial Planning and Local Development Co-Management: Potentials and Challenges in Greece," Sustainability, MDPI, vol. 12(5), pages 1-26, March.
    2. Steven Holmes & Fabrizio Natale & Maurizio Gibin & Jordi Guillen & Alfredo Alessandrini & Michele Vespe & Giacomo Chato Osio, 2020. "Where did the vessels go? An analysis of the EU fishing fleet gravitation between home ports, fishing grounds, landing ports and markets," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-13, May.
    3. Fabrizio Natale & Maurizio Gibin & Alfredo Alessandrini & Michele Vespe & Anton Paulrud, 2015. "Mapping Fishing Effort through AIS Data," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
    4. Surís-Regueiro, Juan C. & Santiago, Jose L., 2014. "Characterization of fisheries dependence in Galicia (Spain)," Marine Policy, Elsevier, vol. 47(C), pages 99-109.

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