Fisheries annual fixed cost data collection and estimation methodology: An application in the Northeast,U.S. |
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Affiliation: | 1. Balik Scientist Program, Department of Science and Technology, Philippines;2. Graduate School of Science and Engineering, Mechanical Engineering Department, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan;3. College of Science and Engineering, Mechanical Engineering Department, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan |
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Abstract: | Information on the cost of fishing is integral in measuring fisheries performance and correctly evaluating the economic impacts of fisheries regulations and management rules. However, limited availability of cost data often renders such analyses either incomplete or implausible. This study discusses a survey effort that was undertaken in the Northeast US to collect fisheries annual fixed cost data directly from commercial fishermen. Stratified random samples of fishing vessel owners were surveyed in 2012 and 2013. An overview of the survey procedures, sample selection and administration is given here. The data cleaning process, non-response bias and data summaries are also presented. A modeling framework is discussed for estimating fisheries cost data. Robust cost models in combination with regular data collection efforts will allow for more complete economic and financial analyses relevant to fisheries management and conservation. |
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Keywords: | Fisheries cost Survey Non-response bias Fisheries cost models |
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