Gone Fishing: The Value of Recreational Fishing in Sweden
Ola Carlén, Göran Bostedt, Runar Brännlund, Lars Persson
Abstract
Ola Carlén, Göran Bostedt, Runar Brännlund, Lars Persson
Abstract
Data from a unique nationwide recreational fishing survey in Sweden is used to estimate benefits of recreational fishing in Sweden, differences between regions and age groups, and how they relate to expected catch. The data targets the whole Swedish population, and as a consequence a large fraction of zero fishing days exists in the sample. To consider this, a zero-inflated Poisson model was used. Swedes fished around 16 million days in 2013, of which two-thirds was spent on inland fishing, and one third was spent on marine and costal fishing. Expected consumer surplus per fishing day vary over the season, from about SEK 23 for winter fishing, to SEK 148 for summer fishing. The highest consumer surplus values are found among the youngest and the oldest age groups that were surveyed. Expected catch is an important determinant for number of fishing days, but catch increases mainly influence summer fishing.
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Data from a unique nationwide recreational fishing survey in Sweden is used to estimate benefits of recreational fishing in Sweden, differences between regions and age groups, and how they relate to expected catch. The data targets the whole Swedish population, and as a consequence a large fraction of zero fishing days exists in the sample. To consider this, a zero-inflated Poisson model was used. Swedes fished around 16 million days in 2013, of which two-thirds was spent on inland fishing, and one third was spent on marine and costal fishing. Expected consumer surplus per fishing day vary over the season, from about SEK 23 for winter fishing, to SEK 148 for summer fishing. The highest consumer surplus values are found among the youngest and the oldest age groups that were surveyed. Expected catch is an important determinant for number of fishing days, but catch increases mainly influence summer fishing.
Key concepts: Fishing, Recreational fishing, Recreation, Fishery, Geography, Value (mathematics), Survey data collection, Business