Fisheries co-management and transaction costs

Fisheries co-management is increasingly seen as a solution to the problems of resource use conflicts and overexploitation. The importance of transactions costs may not have been given adequate attention. The transaction costs are 1) information costs, 2) collective decisionmaking tools, and 3) collective operational costs. The various components of transaction costs of fisheries co-management systems are described in this paper. These costs need to be determined for evaluating the feasibility of a co-managed fishery compared to a centrally managed one.

Reducing feed costs in semi-intensive finfish culture: an update on mixed feeding schedules and an idea for enhancing endogenous food supply in ponds

Some interesting ideas on improving the cost-effectiveness of feeding in semi-intensive finfish aquaculture are presented.

Measuring transaction costs of fisheries co-management in San Salvador Island, Philippines

It is generally accepted that co-management systems are more cost-effective than centralized management of natural resources. However, no attempts have been made to empirically verify the transaction costs involved in fisheries co-management. Some estimates of transaction costs of fisheries co-management in San Salvador Island, Philippines, are presented in this paper. These estimates are used to compare the various transaction costs in co-managed and in centrally managed fisheries in San Salvador Island.

Reported Trip Costs, Gross Revenues, and Net Returns for U.S. Atlantic Pelagic Longline Vessels

Logbook set and trip summary data (containing catch and cost information, respectively) collected by NOAA’s National Marine Fisheries Service (NMFS) were analyzed for U.S. pelagic longline vessels that participated in Atlantic fisheries in 1996. These data were augmented with vessel information from the U.S. Coast Guard. Mean fish weights and ex-vessel prices from NMFS observers and licensed seafood dealers, respectively, were used to estimate gross revenues. Comparisons revealed that net returns varied substantially by vessel size and fishing behavior (i.e. sets per trip, fishing location, season, and swordfish targeting). While the calculated economic effects of proposed regulations will depend on the descriptive statistic chosen for analysis, which itself depends on the type of analysis being conducted, results show that considering heterogeneity within this fleet can have a significant effect on predicted economic consequences.