An agent-based bioeconomic model of a fishery with input controls

Authored by Lisa Elliston, Liangyue Cao

Date Published: 2006-09

DOI: 10.1016/j.mcm.2006.01.010

Sponsors: No sponsors listed

Platforms: MATLAB

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

An agent-based bioeconomic fishery model was developed to assist in the design and evaluation of management instruments in an input controlled fishery. The agent-based structure of the model enables the choice of management instruments to be tailored specifically to account for the competitive `race to fish' and input substitution behaviour observed in input controlled fisheries. The optimal season length and capital investment in the absence of market failure is determined by assuming there is only one agent in the fishery that can internalise all future benefits resulting from sustainable harvest levels. This is then compared with a number of agent-based scenarios, with varying restrictions on fishing inputs, where each individual agent seeks to maximise its own fishing returns subject to the behaviour of other agents. While the results are for a hypothetical fishery, the model provides estimates of the economic cost of this market failure, which in turn provides a benchmark against which the cost of management can be compared. (c) 2005 Elsevier Ltd. All rights reserved.

Tags

Agent-based modelling Fishery management Genetic algorithm effort creep input controls