Publication Cover
Society & Natural Resources
An International Journal
Volume 28, 2015 - Issue 7
410
Views
13
CrossRef citations to date
0
Altmetric
Insights and Applications

Anticipating Exit from North Carolina's Commercial Fisheries

Pages 797-806 | Received 04 Nov 2013, Accepted 10 May 2014, Published online: 18 Mar 2015
 

Abstract

If access to commercial licenses has been limited, then understanding the factors that contribute to movement out of these fisheries (fisheries exit) has value for managers. Studies on the causes of fisheries exit have focused on economic or social factors, but rarely both. I test the relative influence of 15 social and economic attributes from the fisheries exit and job satisfaction literature on fishermen's expectation of eventual exit from fisheries, with the hope that this will contribute to better predictions of fisheries participation and useful feedback for current management. I use available data from four comprehensive demographic and attitudinal surveys in North Carolina. Participation in the state's limited-access commercial fisheries has steadily declined since 2000, leading to concerns that the long-term infrastructure of the industry may be collapsing.

Acknowledgments

I thank the North Carolina Division of Marine Fisheries for continued access to the survey and landings data. The views expressed herein are mine and do not necessarily reflect the views of NOAA or any of its subdivisions.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 260.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.