The available database comprises research projects in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology active in the time period 2003-2022.
BlueBio is an ERA-NET COFUND created to directly identify new and improve existing ways of bringing bio-based products and services to the market and find new ways of creating value from in the blue bioeconomy.

More information on the BlueBio project and participating funding organizations is available on the BlueBio website: www.bluebioeconomy.eu

Last Update: 2024/06/19

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Fisheries
Economic effects of marine fishing tourism: the case of coastal regions in Norway
National Programme
National
Ola Flaaten
ola.flaaten@uit.no
NORUT - Northern Research Institute (Norway)
NA
2008
2010
€ NA
NA
The Norwegian fisheries authorities have stated that the lack of research-based knowledge on marine fishing tourism overall makes it difficult to decide on future management measures to secure a sustainable management and an economically viable distribution of coastal fish resources between marine stakeholders. This proposed project aims at contributing with knowledge on the economic dimensions of marine fishing tourism. Most economic impact analysis of fishing tourism is performed on a national level. However, as marine fishing tourism in Norway to a large degree is based on stationary or sedentary coastal fish resources, it is important that economic value of the activity is calculated on regional and local levels of the economy. In the proposed project regional data will be collected in two different surveys; one company survey for recording visiting days and direct expenditure in fishing tourism companies, and one tourist survey for collecting data on expenditure patterns, allocated into ten different groups of goods and services. The input-data from these surveys will be applied in a regional economic impact model, the Panda model, to analyse the total economic impacts of fishing tourism. Panda is an input-output model including 30 economic sectors. Expenditure pattern data and visiting day data from the surveys will be applied as input demand data in the Panda model. Incorporating the expenditure patterns data with the existing coefficients for intra-regional goods supply in the Panda model, it will be possible to estimate multiplicative effects from fishing tourists spending on both a national and a regional level. One of the major advantages of this project is that the output will be based on a bottom-up method because the study is based on individual data. Salt-water recreational fishing is the fastest growing part of the nature-based tourism industry in Norway. As coastal communities are in need for new economic activity this is positive. However, there is an outspoken need from both the Norwegian fisheries management, commercial fisheries and the tourism industry for an increased research based knowledge on which to base future decision making on fishing tourism. A goal for the project is to inform policy- and economy decisions that secure a sustainable and effective allocation of scarce resources to increase the overall welfare in coastal communities. The project will develop a model to study regional economic impacts of marine fishing tourism, using Norway as a case. The data from the Norwegian case study will be linked to data from an ongoing survey on fish catches in marine fishing tourism in Norway. From this it will be possible to compare the economic value per unit fish in traditional commercial fisheries and fishing tourism.
Recreational fisheries; Fisheries management; Economy;
Norwegian Sea (27.IIa) Skagerrak, Kattegat (27.IIIa) Northern North Sea (27.IVa)
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