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annotated bibliography of fisheries economics literature - Office of ...

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fishers' location choices. It employs ARIMA models to construct the price<br />

forecasts used by fishers in a model that generates expected pr<strong>of</strong>its for three<br />

fishing locations in the British Columbia salmon fishery. A random utility<br />

model <strong>of</strong> fishing location choice is then estimated using two different sets <strong>of</strong><br />

regressors. The first is expected seasonal pr<strong>of</strong>it and its variability. The<br />

second is expected wealth and its variability, where expected wealth is taken<br />

to be the sum <strong>of</strong> the known preseason wealth and the expected pr<strong>of</strong>itability <strong>of</strong><br />

a given fishing location. Results show that expected pr<strong>of</strong>itability is a<br />

significant determinant <strong>of</strong> fishing location choice but that expected wealth<br />

plays an even bigger role. This suggests that there is a type <strong>of</strong> income or<br />

stock effect present in decisions made by fishers. The results also provide<br />

evidence that the variability <strong>of</strong> pr<strong>of</strong>its or wealth is generally a less<br />

significant component in regard to fishing location choice. In fact, some<br />

fishers thrive on greater variability, thereby providing some evidence <strong>of</strong> the<br />

risk loving behavior typically attributed to fishers. This is not the case,<br />

however, for all fishers since some are found to be risk neutral and even risk<br />

averse.<br />

Dupont, D.P. (1993). "Price Uncertainty, Expectations Formation and<br />

Fishers' Location Choices." Marine Resource Economics, 8(3):219-<br />

247.<br />

This paper deals with the effects <strong>of</strong> uncertain output prices upon<br />

fishers' location choices. It employs ARIMA models to construct the price<br />

forecasts used by fishers in a model that generates expected pr<strong>of</strong>its for three<br />

fishing locations in the British Columbia salmon fishery. A random utility<br />

model <strong>of</strong> fishing location choice is then estimated using two different sets <strong>of</strong><br />

regressors. The first is expected seasonal pr<strong>of</strong>it and its variability. The<br />

second is expected wealth and its variability, where expected wealth is taken<br />

to be the sum <strong>of</strong> the known preseason wealth and the expected pr<strong>of</strong>itability <strong>of</strong><br />

a given fishing location. Results show that expected pr<strong>of</strong>itability is a<br />

significant determinant <strong>of</strong> fishing location choice but that expected wealth<br />

plays an even bigger role. This suggests that there is a type <strong>of</strong> income or<br />

stock effect present in decisions made by fishers. The results also provide<br />

evidence that the variability <strong>of</strong> pr<strong>of</strong>its or wealth is generally a less<br />

significant component in regard to fishing location choice. In fact, some<br />

fishers thrive on greater variability, thereby providing some evidence <strong>of</strong> the<br />

risk loving behavior typically attributed to fishers. This is not the case,<br />

however, for all fishers since some are found to be risk neutral and even risk<br />

averse. Given the finding that fishers do respond to economic incentives, one<br />

policy implication concerns the ability <strong>of</strong> <strong>fisheries</strong> managers to alter the<br />

dispersion <strong>of</strong> fishers over fishing locations via the adjustment <strong>of</strong> the<br />

economic incentives by means <strong>of</strong> differential royalty taxes. A second policy<br />

implication results from the finding <strong>of</strong> risk loving behavior. This calls into<br />

question models that assume risk averse behavior and predict a dominance <strong>of</strong><br />

corp sharing contracts over wage contracts.<br />

Dupont, Diane P. and Shelley A. Phipps (1991). "Distributional<br />

Consequences <strong>of</strong> Fisheries Regulations." Canadian Journal <strong>of</strong><br />

Economics, 24(1):206-220.<br />

An empirical methodology for evaluating <strong>fisheries</strong> regulations in terms<br />

<strong>of</strong> both rent gains and employment losses is proposed. A royalty tax and a<br />

change in catch distribution among competing vessel types are compared with<br />

the status quo <strong>of</strong> restricted access. The case study is the British Columbia<br />

commercial salmon fishery. Results suggest that rent gains associated with<br />

the alternatives are not always sufficient to compensate for losses in fishing<br />

income.<br />

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