2017
DOI: 10.3389/fmars.2017.00328
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Preference Modeling to Support Stakeholder Outreach toward the Common Fishery Policy Objectives in the North Mediterranean Sea

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Cited by 6 publications
(8 citation statements)
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References 38 publications
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“…Control rules such as capacity, selectivity, and effort limitation are the main measurement in fisheries management that may lead to low compliance (29). To nurture a culture of compliance, transparent management plans with cross-sector and multi-stakeholder coordination 29) and the inclusion of fishermen's attitudes and knowledge is essential for successful implementation (30,31).…”
Section: Policy Option III -Participatory Action Research (Par)mentioning
confidence: 99%
See 1 more Smart Citation
“…Control rules such as capacity, selectivity, and effort limitation are the main measurement in fisheries management that may lead to low compliance (29). To nurture a culture of compliance, transparent management plans with cross-sector and multi-stakeholder coordination 29) and the inclusion of fishermen's attitudes and knowledge is essential for successful implementation (30,31).…”
Section: Policy Option III -Participatory Action Research (Par)mentioning
confidence: 99%
“…No data on the economics could be found. High expenditure can be expected for the process, as stakeholders are to be involved in whole research process (29). However, compliance achieved in this way can avoid later costs.…”
Section: Participatory Action Research (Par)mentioning
confidence: 99%
“…NSFDSS is used for ranking a set of possible decisions on the basis of agreed-upon decision factors. This multi-criteria decision technique, although generally applied in participatory management of natural resources [69,74], was considered particularly suitable to be applied to derive the ranking of the diets on the basis of observations of the 7 parameters, because based on a simpler scoring scale respect to other techniques (0, 0.5, 1). The NSFDSS requires, as other MCDA tools, that the problem is structured into different steps: decomposition, comparative judgment, and synthesis of priorities.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…The economic dimension was represented by two objectives that are related with economic development of a sustainable fishery: (1) to improve fleet efficiency; and (2) to achieve economic viability of the fishing sector. These objectives were defined based on existing literature on fisheries sustainability targets related to the CFP (Lembo et al, 2017) and legal guidelines [e.g., Regulation (EU) No. 508/2014 (EU, 2014b), and Union Priority 1 "Promoting environmentally sustainable, resource-efficient, innovative, competitive and knowledge-based fisheries"].…”
Section: Framework Descriptionmentioning
confidence: 99%
“…The essential properties of biological and socio-economic variables to become candidate indicators are their ability to inform on the direction of change in a fishery system (Jennings, 2005). Other useful properties of the variables are that they could be relatively easy or inexpensive to measure within current fisheries data collection schemes and that they should be easily understood by fisheries managers and other stakeholders, in order to facilitate good governance and decision making (Lembo et al, 2017;de Juan et al, 2018). In this work, a candidate list of variables was identified from relevant literature (amongst others: Jennings, 2005;Rice and Rochet, 2005;FAO, 2009;Lockerbie et al, 2016) and was then assessed by LO experts with the application of quality criteria (Queirós et al, 2016).…”
Section: Introductionmentioning
confidence: 99%