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

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’ behavior 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 internalize 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 maximize its own fishing returns subject to its expectations of the behavior 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.