Incorporating Economic Objectives in Goal Programs for Fishery Management

Drynan, Ross G.; Sandiford, Frances

doi:10.1086/mre.2.2.42628896

Cited by 16 publications

(11 citation statements)

References 3 publications

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“…There have been several applications of GP in this field, including balancing economic and biological objectives over short term and long term time frames in fishery management (Drynan and Sandiford, 1985;Mardle and Pascoe, 2000;Mardle et al, 2002) optimizing environmental, social, and economic goals in energy production (Silva and Nakata, 2009); and the management of public water resources (Neely et al, 1977;Ballestero et al, 2002). Önal (1997) considers an approach similar to GP in forest management.…”

Section: Literature Reviewmentioning

confidence: 99%

Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

Fooks¹,

Messer²

2012

JFE

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Section: Literature Reviewmentioning

confidence: 99%

Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

Fooks¹,

Messer²

2012

JFE

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“…Various approaches have been used, including static and dynamic, single versus multiple objective, and passive versus active learning, but approaches based on multiple objectives have received the most recent attention. For example, a multiple-objective goal-programming model was developed by Drynan and Sandiford (1985) for Scottish nearshore fishing fleets, and dynamic multiobjective programming has been used by Charles (1989) and Diaz-de Leon and Seijo (1992). The most widely used multiobjective approach has been multiattribute utility analysis (MUA; Keeney and Raiffa 1976;Edwards and Newman 1982).…”

Section: Multiobjective Approach To Policy Modelingmentioning

confidence: 99%

Market Information and Fisheries Management: A Multiple-Objective Analysis

Sylvia

1994

North American Journal of Fisheries Management

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Market issues are often critical to the regional and national benefits that can be generated from fisheries management. In actual policy analysis, however, market considerations are often treated as exogenous to the fisheries policy problem. Examples illustrate the relationships between product characteristics, market demand, and regulatory management. A multiple‐objective socioeconomic policy model was formulated to demonstrate these relationships. Numerical analysis illustrated how price differences due to product quality characteristics affect the selection of regulatory controls and the attainment of policy objectives. Results demonstrated that selection of regulatory instruments, including allowable effort and mesh size, will vary depending on size‐related price differences and the relative values on noncomplementary objectives such as profits and employment. Results also showed that dynamic harvest patterns for each age‐class display greater differences across scenarios relative to stock size and stock composition. For the scenario where product quality and price are functions of season length, socioeconomic information was summarized in the form of policy frontiers. These frontiers demonstrate the intertemporal and capitalized trade‐offs between profits, employment, and stock size. This approach has potential for use, with some limitations, within the fisheries policy‐making process.

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“…Several analyses of fishery management options with multiple objectives can be found in the literature. A tool used to deal with distinct and conflicting goals has been multi-objective optimisation (see Drynan and Sandiford 1985;Dupont and Phipps 1991;Placenti et al 1992;Gilbert and Enriquez 1994;Padilla and Copes 1994;Leung et al 2001). In contrast, the analyses of collective rights-based fisheries, although growing in number, are still scanty (Berkes 1989;Pinkerton 1989).…”

Section: Introductionmentioning

confidence: 99%

Effort optimisation in artisanal fisheries with multiple management objectives, collective quotas and heterogeneous fleets*

Castillo¹,

Dresdner²

2012

Aus J Agri & Res Econ

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In this study, we analyse effort optimisation in common rights-based joint-stock artisanal fisheries when several objectives are pursued by the authorities and the fleets are heterogeneous. The purpose is to discuss policy options available to the authorities and their implications in terms of trade-offs between goals. We apply a multi-objective programming model to the sardine and anchovy artisanal fisheries in central southern Chile. The results suggest that the regulatory system generates inefficient solutions for profit and employment maximisation goals. Moreover, the fleet structure of the artisanal organisations is central for the outcomes obtained by different policy simulations. To improve effort assignment, the authorities should seek to increase flexibility in the system.

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Incorporating Economic Objectives in Goal Programs for Fishery Management

Cited by 16 publications

References 3 publications

Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

Market Information and Fisheries Management: A Multiple-Objective Analysis

Effort optimisation in artisanal fisheries with multiple management objectives, collective quotas and heterogeneous fleets*

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