Marine fisheries provide food, employment opportunities, and income for millions of people who live near the coast. Unprecedented levels of catch threaten fisheries across the globe, while demand for seafood continues to climb. Effective fisheries management could ensure reliable food supplies and mitigate adverse socio-economic impacts on regulated fishing communities. Specifying management actions – particularly the resource extraction activities (dis-)allowed – can be highly contentious, in part because biological, economic, social, and political objectives of stakeholders are often in direct conflict. Disputes over conflicting objectives are typically central to disagreements about the right way to manage the fishery, but often more complex social conflicts can also fuel disagreements. The Conflict Intervention Triangle is a framework that can be used for understanding and addressing three types of conflicts: substance, relationships, and process, where the last two are social conflicts. All three types of conflict were present in open-ended responses on a recurring National Oceanic and Atmospheric Administration (NOAA) survey of small boat fishers. To better understand the relationship between these types of conflict, we developed a fishery-specific dictionary that can automate categorization of fishers’ responses by topic and type of conflict. The use of the automated content analysis approach provided a nuanced snapshot of the major conflicts in the Hawaiʻi small boat fishery and revealed concealed conflicts that are often ambiguous and less easy to express. We discuss the performance of the methodology used in creating and applying the dictionary to fishery datasets as well as advantages and disadvantages compared to manual content analysis.

This study presents an economic and social profile of pelagic fishing tournaments held in Hawaii during 2018, and examines the economic contributions generated by these events to Hawaii, and spillover effects to the United States mainland. This study surveyed 19 pelagic fishing tournament operators (response rate of 95%) in Hawaii and 509 participant teams (response rate of 45%) across the State of Hawaii. Tournament operators provided information on their costs and earnings related to running their fishing tournaments, while participating teams reported their expenditures related to travel and fishing in the tournament, along with information related to their fishing trips, and demographic information. The economic contributions of pelagic tournament fishing in Hawaii were estimated with IMPLAN (a proprietary input-output modeling software) using the costs and expenditures obtained from the completed surveys. This study extended the single-region input-output to include a multi-regional input-output (MRIO) model in order to capture the spillover effects of pelagic tournament fishing in Hawaii to the U.S. mainland and west coast (Washington, Oregon, and California).

Hawaii law requires that fish dealers report all purchases made directly from fishers to the Hawaii Division of Aquatic Resources (DAR). The term "fish dealers" includes fish auctions, fish markets, stores, restaurants, or any business buying fish directly from fishers, and even fishers themselves if they peddle their own fish. In January 2000, DAR implemented a computerized data processing system for fish dealer data collected state-wide. From 2000 through 2019, most dealers submitted paper forms supplied by DAR while a few of the larger dealers provided data electronically. In June 2016, DAR launched a self reporting web application used by fishers who peddle their own fisher. In October 2019, DAR launched a self reporting web application for use by fish dealers buying fish directly from fishers. Currently the majority of sales are self reported.

This survey assessed the potential price premiums that consumers are willing to pay for tuna that is harvested from stocks with known abundance, known by-catch rates, and the effect of tuna farming on preferences.

This is a time-series dataset of trip expenditure data including actual fishing trip expenses, input usage, and input prices, for boat-based reef fish, bottomfish, and pelagic fisheries in CNMI, American Samoa, and Guam. Specifically, the surveys intend to collect information on: gallons of fuel used for the fishing trip, price per gallon of fuel, cost of ice used, cost of bait & chum used, cost of fishing gear lost, and the engine type of the boat. These economic data are collected through an add-on to boat-based creel surveys initiated by local fisheries agencies in CNMI, American Samoa, and Guam to collect fisheries dependent data. The data collection program was implemented in April 2009 in CNMI, August 2009 in American Samoa, and September 2011 in Guam.

These data represent a cost-earnings study of the Hawaii small boat fishery in 2014. Data collected include fisher classification, vessel characteristics, levels of investment, trip-level expenditures, fishing behavior, market participation, social aspects of the fishery, and demographics.

These data represent a cost-earnings study of the Hawaii small boat fishery in 1995-1996. Data collected include fisher classification, vessel characteristics, levels of investment, trip-level expenditures, fishing behavior, market participation, social aspects of the fishery, and demographics.

This dataset combines the research results from a number of papers carried out under the study "Assessment of Economic Benefits and Costs of Marine Managed Areas in Hawaii". The studies included a paper on the fisheries benefits of MMAs (Friedlander and Cesar, 2004), a write-up of the recreational survey at the MMA sites (Van Beukering and Cesar, 2004), a background on the institutional/regulatory framework on MMAs in Hawaii (Cesar, 2004), a paper on the economic value and cost-benefit analysis of management options for MMAs (Van Beukering and Cesar, 2004) and a paper on the international experience of sustainable financing of MMAs (Cesar and van Beukering, 2004). This dataset is basically a set of MS Word documents with mostly social- economic data embedded within tables. The habitat and fish data in this dataset are drawn from other datasets already in the NOAA archives, the NOAA Benthic Habitat Maps and the Coral Reef Assessment and Monitoring Program (CRAMP), respectively.

This project collects economic data from vessel owners participating in the West Coast limited entry fixed gear, and open access groundfish, salmon, crab, and shrimp fisheries. The data is needed for a variety of applications, such as the Northwest Fisheries Science Center's regional economic model (Input-Output Model for Pacific Coast Fisheries) as well as estimating the profitability of fishery participants for applications such as the Pacific Fisheries Management Council's Groundfish harvest specifications process. Major stages of the project include developing a survey questionnaire, developing a contact list of all fishery participants with available contact information (name, address, phone number), obtaining approval for the survey from the Office of Management and Budget through the Paperwork Reduction Act process, hiring a contractor to field the survey, training contractor personnel on how to field the survey, supervising survey fielding by the contractor, and working with the contractor to obtain an electronic data set containing survey results.

This project collects economic data from vessel owners participating in the West Coast limited entry fixed gear and open access groundfish, salmon, crab, and shrimp fisheries. The data is needed for a variaety of applicatoins, such as the NWFSC's regional economic model (IO-PAC) as well as estimating the profitability of fishery participants for applications such as the Pacific Fisheries Mangement Council's Groundfish Spex process. Major stages of the project include developing a survey questionnaire, devloping a contact list of all fishery participants with available contact information (name, address, phone number), obtaining approval for the survey from the Office of Management and Budget thorugh the Paperwork Reduction Act process, hiring a contractor to field the survey, training contractor personnel on how to field the survey, supervising survey fielding by the contractor, and working with the contractor to obtain an electronic data set containing survey results. Cost Earnings data from the 2014-5 Open Access survey.