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Identifying fisheries dependent communities in EU coastal areas

Author

Listed:
  • Natale, Fabrizio
  • Carvalho, Natacha
  • Harrop, Michael
  • Guillen, Jordi
  • Frangoudes, Katia
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

  • Natale, Fabrizio & Carvalho, Natacha & Harrop, Michael & Guillen, Jordi & Frangoudes, Katia, 2013. "Identifying fisheries dependent communities in EU coastal areas," Marine Policy, Elsevier, vol. 42(C), pages 245-252.
    • Handle: RePEc:eee:marpol:v:42:y:2013:i:c:p:245-252
    DOI: 10.1016/j.marpol.2013.03.018
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    References listed on IDEAS

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    1. Filipe Batista e Silva & Javier Gallego & Carlo Lavalle, 2013. "A high-resolution population grid map for Europe," Journal of Maps, Taylor & Francis Journals, vol. 9(1), pages 16-28, March.
    2. James E. Anderson, 2011. "The Gravity Model," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 133-160, September.
    3. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
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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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