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Center for the Blue Economy

Working Papers

Angling

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

The Value Of Recreational Fishing In The Irish Marine Waters: A Travel Cost Analysis Using On-Site Count Data Models, Stephen Hynes, Rainey Graeven Apr 2016

The Value Of Recreational Fishing In The Irish Marine Waters: A Travel Cost Analysis Using On-Site Count Data Models, Stephen Hynes, Rainey Graeven

Working Papers

This paper’s contribution to the understanding of marine recreational pursuits in Ireland is based on the estimation of the first sea angling demand function. We use this empirical work to inform the more general debate surrounding resource allocation between commercial fisheries and recreational anglers. The study compares the use of Poisson and negative binomial count data models to estimate sea angling trip demand. The models also account for truncation and endogenous stratification; two issues that need to be controlled for when dealing with on-site sampled populations. The models are then used to estimate the mean willingness to pay of the …


Technical Appendix: Economic Impact Of The Commercial Fisheries On Local County Economies From Catch In California National Marine Sanctuaries 2010, 2011 And 2012. Marine Sanctuaries Conservation Series Onms-13-07, Vernon R. Leeworthy, Desiree Jerome, Kelsey Schueler Sep 2013

Technical Appendix: Economic Impact Of The Commercial Fisheries On Local County Economies From Catch In California National Marine Sanctuaries 2010, 2011 And 2012. Marine Sanctuaries Conservation Series Onms-13-07, Vernon R. Leeworthy, Desiree Jerome, Kelsey Schueler

Working Papers

This report documents the data and methods of estimation used in estimating the economic impact of commercial fishing catch from all four National Marine Sanctuaries in California on local county economies in terms of harvest revenue received by fishermen and the associated economic impacts, including multiplier impacts, on total output, value added, income and the number of full- and part-time jobs.