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• 11. [Article] Determinants of Efficiency in a Mixed Fishing Fleet: A Mexican Case Study

  Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), ...

  Citation × Citation Citation Abstract Copy Title: Determinants of Efficiency in a Mixed Fishing Fleet: A Mexican Case Study Author: Salas-Márquez, Silvia, Monroy-Garcia, Carmen, Quijano-Quinones, Daniel Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), Corvallis, 2017. Title: Determinants of Efficiency in a Mixed Fishing Fleet: A Mexican Case Study Author: Salas-Márquez, Silvia, Monroy-Garcia, Carmen, Quijano-Quinones, Daniel Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), Corvallis, 2017. Close

• 12. [Article] The Round Table of Mexican Fisheries: Fisheries Governance Examples from Northwestern Mexico

  Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), ...

  Citation × Citation Citation Abstract Copy Title: The Round Table of Mexican Fisheries: Fisheries Governance Examples from Northwestern Mexico Author: Lluch-Belda, Daniel, Zepeda Domínguez, Jose Alberto, Ponce-Díaz, Germán, Arreguín-Sánchez, Francisco, Espinoza-Tenorio, Alejandro, Zetina-Rejón, Manuel Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), Corvallis, 2017. Title: The Round Table of Mexican Fisheries: Fisheries Governance Examples from Northwestern Mexico Author: Lluch-Belda, Daniel, Zepeda Domínguez, Jose Alberto, Ponce-Díaz, Germán, Arreguín-Sánchez, Francisco, Espinoza-Tenorio, Alejandro, Zetina-Rejón, Manuel Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), Corvallis, 2017. Close

• 13. [Article] The New Fisheries Catch Shares Program in Argentina: Balancing Efficiency and Equity Objectives in Rights-Based Management Systems

  Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), ...

  Citation × Citation Citation Abstract Copy Title: The New Fisheries Catch Shares Program in Argentina: Balancing Efficiency and Equity Objectives in Rights-Based Management Systems Author: Stefanksi, Stephanie Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), Corvallis, 2017. Title: The New Fisheries Catch Shares Program in Argentina: Balancing Efficiency and Equity Objectives in Rights-Based Management Systems Author: Stefanksi, Stephanie Suggested Bibliographic Reference: NAAFE Forum 2017 Proceedings, March 22-24, 2017. Compiled by Ann L. Shriver with assistance from Stefani Evers. North American Association of Fisheries Economists (NAAFE), Corvallis, 2017. Close

• 14. [Article] Confidence of the Trembling Hand: Bayseian Learning with Data Poor Stocks

  Management of data-poor fisheries typically relies on setting an annual catch limit (ACL) using catch-based methods that are concerned with estimating a sustainable harvest and hinge on the logic that ...

  Citation × Citation Citation Abstract Copy Title: Confidence of the Trembling Hand: Bayseian Learning with Data Poor Stocks Author: Qu, Qian, Holzer, Jorge Management of data-poor fisheries typically relies on setting an annual catch limit (ACL) using catch-based methods that are concerned with estimating a sustainable harvest and hinge on the logic that historic catches reflect a level of exploitation the stock can sustain. The resulting harvest control rules routinely set ACLs at the median (or mean) landings over a reference period, with or without a scalar downward adjustment according to the assumed level of depletion. Thus, the only way for the ACL to increase in the future is for the fishery to routinely exceed the ACL, which may be highly unlikely with strong enforcement. We propose an alternative approach: perturbations in the form of small, temporary and intermittent increases to ACLs between stock assessments (combined with a safety valve) can increase the permanent value of the stock. On one hand, these perturbations translate into a more accurate estimation of the population model in the next assessment, which leads to ACLs closer to the true maximum sustainable yield thereafter. On the other hand, increases in ACLs imply a higher management risk in the form of overfishing. To characterize this tradeoff, we first build a dynamic stochastic model that summarizes the interaction among the stock, the industry and the regulator. Then we perform several Monte Carlo experiments. We find that under reasonable parameterization, a wide range of perturbations give rise to a net present value of the stock that not only in expectation is higher than, but oftentimes first-order stochastically dominates that without perturbation. Title: Confidence of the Trembling Hand: Bayseian Learning with Data Poor Stocks Author: Qu, Qian, Holzer, Jorge Management of data-poor fisheries typically relies on setting an annual catch limit (ACL) using catch-based methods that are concerned with estimating a sustainable harvest and hinge on the logic that historic catches reflect a level of exploitation the stock can sustain. The resulting harvest control rules routinely set ACLs at the median (or mean) landings over a reference period, with or without a scalar downward adjustment according to the assumed level of depletion. Thus, the only way for the ACL to increase in the future is for the fishery to routinely exceed the ACL, which may be highly unlikely with strong enforcement. We propose an alternative approach: perturbations in the form of small, temporary and intermittent increases to ACLs between stock assessments (combined with a safety valve) can increase the permanent value of the stock. On one hand, these perturbations translate into a more accurate estimation of the population model in the next assessment, which leads to ACLs closer to the true maximum sustainable yield thereafter. On the other hand, increases in ACLs imply a higher management risk in the form of overfishing. To characterize this tradeoff, we first build a dynamic stochastic model that summarizes the interaction among the stock, the industry and the regulator. Then we perform several Monte Carlo experiments. We find that under reasonable parameterization, a wide range of perturbations give rise to a net present value of the stock that not only in expectation is higher than, but oftentimes first-order stochastically dominates that without perturbation. Close

• 15. [Article] Fishermen's Location Choice under Spatio-Temporal Update of Expectations

  Information acquired by fishermen while fishing play a crucial role in their decision-making process. Those are used to form the basis for update of beliefs on productivity of a range of available fishing ...

  Citation × Citation Citation Abstract Copy Title: Fishermen's Location Choice under Spatio-Temporal Update of Expectations Author: Munch, Angela, Hutniczak, Barbara Information acquired by fishermen while fishing play a crucial role in their decision-making process. Those are used to form the basis for update of beliefs on productivity of a range of available fishing grounds while acting in an uncertain environment. In this paper, we focus on the formation of fishermen's beliefs about the productivity of fishing grounds based on signals obtained through harvest activity. We task ourselves with better understanding of the impact of prior experience on the at-sea day-to-day decision with respect to location choice. We investigate how obtained signals are propagated over time and space considering knowledge decay with increasing spatial and temporal separation, hence, incorporating intertemporal and spatial correlation between gained experience and future expectations. The parameters of the updating process are derived by fitting a dynamic Bayesian model to available data of location choices. The signal propagation parameters are derived by fitting the multinomial logit model to simulated expectations data paired with observed discrete location choices. Our motivation is that successful fisheries management must be able to accurately predict the response of fishermen to fishery regulations with particular attention paid to flexible technologies where individuals can adjust effort and alter fishing behavior. Good understanding of fishermen location choice and location adjustment flexibility can contribute substantially to a design of management practices with spatial components. We apply our model to the Polish bottom trawler fleet in the Baltic Sea. Title: Fishermen's Location Choice under Spatio-Temporal Update of Expectations Author: Munch, Angela, Hutniczak, Barbara Information acquired by fishermen while fishing play a crucial role in their decision-making process. Those are used to form the basis for update of beliefs on productivity of a range of available fishing grounds while acting in an uncertain environment. In this paper, we focus on the formation of fishermen's beliefs about the productivity of fishing grounds based on signals obtained through harvest activity. We task ourselves with better understanding of the impact of prior experience on the at-sea day-to-day decision with respect to location choice. We investigate how obtained signals are propagated over time and space considering knowledge decay with increasing spatial and temporal separation, hence, incorporating intertemporal and spatial correlation between gained experience and future expectations. The parameters of the updating process are derived by fitting a dynamic Bayesian model to available data of location choices. The signal propagation parameters are derived by fitting the multinomial logit model to simulated expectations data paired with observed discrete location choices. Our motivation is that successful fisheries management must be able to accurately predict the response of fishermen to fishery regulations with particular attention paid to flexible technologies where individuals can adjust effort and alter fishing behavior. Good understanding of fishermen location choice and location adjustment flexibility can contribute substantially to a design of management practices with spatial components. We apply our model to the Polish bottom trawler fleet in the Baltic Sea. Close