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Recreational angling tournaments: participants’ expenditures

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  • Curtis, John
  • O’Reilly, Paul
  • Breen, Benjamin

Abstract

Fishing tournaments are a common feature in recreational angling across a wide range of target species both in fresh and salt waters. Tournaments are organised for a number of purposes, including as commercial enterprises; as fund-raising initiatives for angling clubs; for economic development purposes (e.g. tourism); as well as improve participants’ skill levels. Most tournaments are confined to geographically small areas and usually occur over a small number of days, which can mean a pulse of economically significant activity in the local area. This paper analyses the nature of expenditure associated with angling tournaments, including travel, food and accommodation, and angling-related expenditures as a function of socio-economic and angler characteristics. Analysis based on 106 tournaments across Ireland during 2013 finds a clear 80/20 segmentation between `high’ and `low’ spend anglers and that the segmentation occurs across all fish target species considered. The analysis also finds that British coarse anglers participating at Irish angling tournaments spend considerably more than other anglers irrespective of target species or angler country of origin.
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  • Curtis, John & O’Reilly, Paul & Breen, Benjamin, 2017. "Recreational angling tournaments: participants’ expenditures," Papers RB20170210, Economic and Social Research Institute (ESRI).
    • Handle: RePEc:esr:wpaper:rb20170210
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    1. Raguragavan, Jananee & Hailu, Atakelty & Burton, Michael, 2013. "Economic Valuation of Recreational Fishing in Western Australia: Statewide Random Utility Modelling of Fishing Site Choice Behaviour," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
    2. Curtis, John & Stanley, Brian, 2015. "Water Quality and Recreational Angling Demand in Ireland," Papers WP521, Economic and Social Research Institute (ESRI).
    3. Jan Wynen, 2013. "An Estimation of the Determinants of Same-Day Visit Expenditures in Belgium," Tourism Economics, , vol. 19(1), pages 161-172, February.
    4. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    5. Jelke Bethlehem, 2010. "Selection Bias in Web Surveys," International Statistical Review, International Statistical Institute, vol. 78(2), pages 161-188, August.
    6. Yamazaki, Satoshi & Rust, Steven & Jennings, Sarah & Lyle, Jeremy & Frijlink, Sven, 2013. "Valuing recreational fishing in Tasmania and assessment of response bias in contingent valuation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 193-193.
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