Improved fisheries management provides fishers with more opportunities to maximize harvest value by accounting for valuable attributes of the harvest such as species, harvest timing, fish size, product form, and landing location. Harvest values can also vary by vessel and gear type. Moreover, the extent of targeting can influence the ecosystem in which the fishers operate and provide important management challenges. We utilize a unique dataset containing daily vessel-level fish landings in one region of Norway in 2010 to investigate the value of an array of attributes, including species, product form, product condition, timing, fish size, vessel type, gear type, and landing location for cod and other whitefish species, as well as king crab. We also investigate to what extent landed value differs across different communities, firms, and plants. The results indicate substantial variation for all attributes, highlighting opportunities for fishers as well as potential management challenges. For whitefish, the species landed accounts for three-quarters of the variation in prices. For cod in particular, the fish size accounts for nearly all variation in prices. In these fisheries, market conditions justify management focus on the biological composition of the catch.
We use an overlapping-generations model with endogenous retirement and saving to study the trade-off between saving and retirement age in response to mortality decline. When life expectancy increases by one year, people delay retirement by about four months. With this magnitude of delay in retirement age, the percentage of lifetime spent in working decreases, and people have to save more for postretirement years. Neither the pure form of sole adjustment through savings nor the proportionality hypothesis is consistent with our results, but the proportionality hypothesis is a better rule of thumb in predicting future behavior. Our choice of the modified Boucekkine et al. (2002) survival function gives a convenient one-to-one correspondence between life expectancy increase and a change in the survival parameter.
Applying market approaches to environmental regulations requires establishing a spatial scale for trading. Spatially large markets usually increase opportunities for abatement cost savings but increase the potential for pollution damages (hot spots), vice versa for spatially small markets. We develop a coupled hydrologic-economic modeling approach for application to point source emissions trading by a large number of sources and apply this approach to the wastewater treatment plants (WWTPs) within the watershed of the second largest estuary in the U.S. We consider two different administrative structures that govern the trade of emission permits: one-for-one trading (the number of permits required for each unit of emission is the same for every WWTP) and trading ratios (the number of permits required for each unit of emissions varies across WWTP). Results show that water quality regulators should allow trading to occur at the river basin scale as an appropriate first-step policy, as is being done in a limited number of cases via compliance associations. Larger spatial scales may be needed under conditions of increased abatement costs. The optimal scale of the market is generally the same regardless of whether one-for-one trading or trading ratios are employed.
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