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Fisheries management for different angler types. ESRI WP529. March 2016

Curtis, John and Breen, Benjamin (2016) Fisheries management for different angler types. ESRI WP529. March 2016. [Working Paper]

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    On-site survey data from coarse and game angling sites in Ireland is used to estimate count data models of recreational angling demand. To investigate the existence of preference heterogeneity across angler-types, three demand functions are estimated according to angler type; coarse, game and a combination of both. Comparison of these demand functions indicates that the fishery characteristics which drive demand differ depending on angler-specific characteristics. For example treating all anglers as an homogeneous group led to results suggesting angling demand is higher where there is a greater provision of angling services (such as guide-hire and tackle shops). While this relationship pertained for the game angling demand function, angling service levels had no effect on coarse angling demand. Water quality, which was not found to be significant in driving demand in the combined case, was identified as a significant determinant of angling demand in game fisheries. Overall the results strongly support the need to specifically address angler characteristics when analysing angler preferences. Improved survey design that attains more detailed information such as anglers' quarry-type, skill level, etc. will improve the ability of analysts to understand angler preferences and provide more effective policy recommendations.

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    Item Type: Working Paper
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > agriculture policy
    EU policies and themes > Policies & related activities > sports
    Countries > Ireland
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > Economic and Social Research Institute (ESRI), Dublin > ESRI Working Papers
    Depositing User: Alyssa McDonald
    Official EU Document: No
    Language: English
    Date Deposited: 12 Jul 2017 16:16
    Number of Pages: 19
    Last Modified: 05 Feb 2020 03:05

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