Econometric Modeling of Fisheries with Complex Life Histories: Avoiding Biological Management Failures

Economics of the fishery has focused on the wastefulness of common pool resource exploitation. Pure open access fisheries dissipate economic rents and degrade biological stocks. Biologically managed fisheries also dissipate rents but are thought to hold biological stocks at desired levels. We develop and estimate an empirical bioeconomic model of the Gulf of Mexico gag fishery that questions the presumptive success of biological management. Unlike previous bioeconomic life history studies, we provide a way to circumvent calibration problems by embedding our estimation routine directly in the dynamic bioeconomic model. We nest a standard biological management model that accounts for complex life history characteristics of the gag. Biological intuition suggests that a spawning season closure will reduce fishing pressure and increase stocks, and simulations of the biological management model confirm this finding. However, simulations of the empirical bioeconomic model show that these intended outcomes of the spawning closure do not materialize. The behavioral response to the closure is so pronounced that it offsets the restriction in allowable fishing days. Our results suggest that failure to account for fishing behavior plays an important role in fishery management failures.

Duke Scholars

Author Junjie Zhang Environmental Social Systems