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Quantitative results for fishery policy analysis.

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posted on 2021-09-07, 17:31 authored by Hing Ling Chan, Minling Pan

Quantitative results for fishery policy analysis.

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Fishing trip cost modeling using generalized linear model and machine learning methods – A case study with longline fisheries in the Pacific and an application in Regulatory Impact Analysis
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utilizing machine learningstrong theoretical guidelinelow observer coveragelevel data dueevaluating economic performanceassessing economic effectsprevious modeling effortstrip costs duetrip cost estimationfishing trip costseastern pacific oceancentral pacific oceangeneralized linear modelfisheries management alternativesmodeling approach addressestrip cost impactshawaii longline fisherymodeling approachlongline fisheriesbioeconomic modelinglimited tripassociated tripvessel characteristicsstudy appliesspatial regulationsresults showpredictor selectionpredictive powerparticularly importantmany fisherieslasso regularizationimportant elementfunctional formsempirical analysisdone simultaneouslycould induceclosures couldcase studybuild modelsaverage 14article introduces

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