Modeling protected species as an undesirable output: The case of sea turtle interactions in Hawaii's longline fishery

Hui, Huang; Leung, PingSun

doi:10.1016/j.jenvman.2006.07.008

Cited by 10 publications

(7 citation statements)

References 20 publications

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“…Kwon and Yun (1999) also estimated TE and shadow prices in the presence of undesirable outputs by using the translog specification and the method of F@re et al (1993). Huang and Leung (2006) …”

Section: Assessing Efficiency and Capacity With Undesirable Outputsmentioning

confidence: 99%

Estimating Fishing Vessel Capacity: A Comparison of Nonparametric Frontier Approaches

Walden

Tomberlin

2010

Marine Resource Economics

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ii Executive SummaryFishery managers throughout the world are concerned about finding ways to reduce undesirable and nonmarketable bycatch (i.e., bycatch discards) and excess harvesting capacity. Both of these issues are associated with economic waste in the form of unnecessarily high production costs, potential reductions in future harvest levels, or unnecessary utilization of factors of production to discard undesired catch. The Food and Agriculture Organization (FAO) of the United Nations, the National Marine Fisheries Service (NOAA Fisheries), and various member nations of the FAO adopted a voluntary code entitled The Code of Conduct for Responsible Fisheries in 1995, which promotes the reduction in bycatch discards and excess capacity in commercial fisheries.Extensive progress has been made towards reducing bycatch of undesired species through new regulations and modifications to traditional fishing gear. Substantial progress has also been made towards assessing and reducing harvesting capacity in fisheries. Unfortunately, these efforts have been made in isolation. That is, efforts to reduce bycatch have not concurrently considered the ramifications of bycatch reduction on harvesting capacity, and efforts to assess capacity have not incorporated how capacity would vary with reductions in undesirable outputs.Without proper attention to the relationship between reducing undesirable outputs and the maximizing desirable outputs, it is quite likely that the estimates of capacity used to help develop capacity reduction programs may be subject to error.We examine four approaches for estimating and assessing both capacity and technical efficiency of production activities that involve the production of both desirable and undesirable outputs. Although we primarily focus on estimating capacity while explicitly recognizing the need to allow desirable outputs to expand and undesirable outputs to contract, we also consider several other options for changing the direction (expansion and contraction) of desirable and undesirable outputs.All four methods considered in the report are based on data envelopment analysis ( DEA), which is a mathematical programming approach for estimating technical efficiency (TE) and capacity output. We first examine the more traditional DEA approach for estimating capacity; this is an output-oriented approach, which only takes desirable outputs into account and ignores undesirable outputs. We then introduce and summarize (2) a directional distance function approach, which permits desirable outputs to increase and undesirable outputs to decrease by the same proportion. Next, (3) a hyperbolic approach is then presented and discussed; this approach allows desirable outputs to expand by a scalar and undesirable outputs to contract by the inverse of the scalar. Last, we present (4) iii the approach of Seiford and Zhu (2002), which is an output-oriented approach but allows desirable outputs to increase and undesirable outputs to decrease. We then apply the various models to a data sample from fis...

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Section: Assessing Efficiency and Capacity With Undesirable Outputsmentioning

confidence: 99%

Estimating Fishing Vessel Capacity: A Comparison of Nonparametric Frontier Approaches

Walden

Tomberlin

2010

Marine Resource Economics

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“…The FAO Code of Conduct for Responsible Fisheries calls for minimization of fisheries impacts on non-target species. However, mitigation measures can be costly to fisheries (Bisack and Sutinen, 2006;Huang and Leung, 2007;Gallaway et al, 2008), can displace ecological impacts to other areas or species (Rausser et al, 2009;Watson et al, 2009), and may be difficult or resource-intensive to implement or enforce (Rodríguez-Quiroz et al, 2010;Gilman, 2011). Moreover, their effectiveness at protecting populations may be inadequate or unknown without proper assessment (Cox et al, 2007;Gilman et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Calculating reference points for anthropogenic mortality of marine turtles

Curtis

Moore

2013

Aquatic Conservation

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ABSTRACT1. Human-caused mortality threatens many marine turtle populations worldwide, with fisheries interactions being a primary cause for population declines. National and international management of fisheries interactions with marine turtles are rarely tied to turtle population biology. Quantitative tools tied to population-based objectives can provide insight into the effectiveness and urgency of bycatch mitigation.2. A management approach is proposed based on a bycatch control rule called Reproductive Value Loss Limit (RVLL), generalized from the Potential Biological Removal management model for marine mammal populations. For RVLL, population size is scaled by reproductive value to account for strongly age-structured population dynamics and age-dependent fisheries mortality rates in marine turtle populations.3. RVLL is an estimate of maximum sustainable mortality for a population, calculated from estimates of maximum population growth rate, total reproductive value in the population, and an uncertainty factor. RVLL estimates correspond to specified management goals and risk tolerances. For demonstration, simultaneous goals of maintaining populations above the maximum net productivity level (analogous to the population size that produces maximum sustainable yield) and preventing a decrease in adults are assumed, both with 95% probability. A management-strategy-evaluation-like process was used to explore parameterization of the RVLL equation for robust performance over a range of plausible life history characteristics and uncertainties in abundance and bycatch mortality estimates for marine turtle populations.4. The RVLL-based management approach presented here proved robust to several important sources of uncertainty and to violation of several key underlying assumptions, and can be adapted to account for important sources of bias. The architecture presented, including tailored management strategy evaluation, provides a useful basis for further development of reference-point-based management of human-added mortality in populations that experience large changes with age in reproductive value and human-caused mortality rates, as is the case for marine turtles.

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“…Curtis and Hicks (2000) estimate the cost of closing portions of Hawaii's pelagic longline fishing ground. Chakravorty and Nemoto (2000), Huang and Leung (2007), and Pradhan and Leung (2008) 4 Two main gear types are employed in the commercial reef fish fishery. Vertical line gear is the most common, followed by longline gear (fish traps, nets, and trolling gear are also used).…”

Section: Related Literaturementioning

confidence: 99%

Cap-and-trade Bycatch Management with Costly Avoidance and Stock Uncertainty

Singh

Weninger

2015

Marine Resource Economics

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Regulations to reduce bycatch of non-marketed marine species often impose gear restrictions, reductions in harvest of the target species, and/or spatial and temporal closures of the fishing ground. These regulations can exact significant social costs in commercial fisheries. We evaluate performance of a cap-and-trade bycatch management policy. Harvest of a target fish species, costly avoidance of the bycatch species, and harvesting efficiency are examined in a stochastic production environment with and without at-sea observability of bycatch, and with and without trade in harvest quotas and bycatch caps. Our results suggest that precise implementation of a socially optimal management plan is possible only if bycatch is observable and trade in fish quotas and bycatch cap is frictionless. Conditions exist in which quota/permit trading raises bycatch relative to a no-trade environment. The results offer useful guidance for designing cap-and-trade bycatch management programs. KeywordsCap-and-trade bycatch management, costly bycatch avoidance, uncertainty BioOne (www.bioone.org) is a nonprofit, online aggregation of core research in the biological, ecological, and environmental sciences. BioOne provides a sustainable online platform for over 170 journals and books published by nonprofit societies, associations, museums, institutions, and presses.Your use of this PDF, the BioOne Web site, and all posted and associated content indicates your acceptance of BioOne's Terms of Use, available at www.bioone.org/page/terms_of_use.Usage of BioOne content is strictly limited to personal, educational, and non-commercial use. Commercial inquiries or rights and permissions requests should be directed to the individual publisher as copyright holder. Cap-and-trade Bycatch Management with Costly Avoidance and Stock UncertaintyRajesh Singh and Quinn Weninger, Iowa State University A B S T R A C TRegulations to reduce bycatch of non-marketed marine species often impose gear restrictions, reductions in harvest of the target species, and/or spatial and temporal closures of the fishing ground. These regulations can exact significant social costs in commercial fisheries. We evaluate performance of a cap-and-trade bycatch management policy. Harvest of a target fish species, costly avoidance of the bycatch species, and harvesting efficiency are examined in a stochastic production environment with and without at-sea observability of bycatch, and with and without trade in harvest quotas and bycatch caps. Our results suggest that precise implementation of a socially optimal management plan is possible only if bycatch is observable and trade in fish quotas and bycatch cap is frictionless. Conditions exist in which quota/permit trading raises bycatch relative to a no-trade environment. The results offer useful guidance for designing cap-andtrade bycatch management programs.

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Modeling protected species as an undesirable output: The case of sea turtle interactions in Hawaii's longline fishery

Cited by 10 publications

References 20 publications

Estimating Fishing Vessel Capacity: A Comparison of Nonparametric Frontier Approaches

Estimating Fishing Vessel Capacity: A Comparison of Nonparametric Frontier Approaches

Calculating reference points for anthropogenic mortality of marine turtles

Cap-and-trade Bycatch Management with Costly Avoidance and Stock Uncertainty

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