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The role of fisheries data in the development evaluation and impact assessment in support of European fisheries plans
Simmonds, E.J.; Doring, R.; Daniel, P.; Angot, V. (2011). The role of fisheries data in the development evaluation and impact assessment in support of European fisheries plans. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 68(8): 1689-1698. dx.doi.org/10.1093/icesjms/fsr067
In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289, meer
Peer reviewed article  

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Trefwoord
    Marien
Author keywords
    CFP; data requirements; European fisheries policy; evaluation; impact

Auteurs  Top 
  • Simmonds, E.J.
  • Doring, R.
  • Daniel, P.
  • Angot, V.

Abstract
    The European Commission has two formal requirements for developing multi-annual management plan policies: evaluation of the past performance of existing plans and impact assessments (IAs) of the potential benefits of new proposals. The new policies require the evaluation of fishery management in terms of three specific criteria: (i) effectiveness, i. e. the best method to achieve the objectives; (ii) efficiency, the cost-effectiveness, and proportionality; and (iii) consistency, i. e. limiting trade-offs across economic, social, and environmental domains. To develop policy, there is a need to collect relevant information, then to conduct appropriate analyses that provide documentation to support the policy objectives. This paper discusses the data requirements for good environmental, economic, and social understanding of fishery dynamics and management, describing how fishery data are currently linked to the analytical and management evaluation process using examples from 2009 and 2010. The type of information currently used is considered, along with the timetable of data availability, and its effect on historical evaluation and IAs, which are now formally required when any changes to legislation are proposed in the European Union, including following stakeholder consultation. The possibilities and future needs for such data are discussed.

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