On the Dynamics of Commercial Fishing and Parameter Identification
Autor: | Al-Amin M. Ussif, Leif Kristoffer Sandal, Stein Ivar Steinshamn |
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Rok vydání: | 2002 |
Předmět: |
Economics and Econometrics
Mathematical optimization Index (economics) Computer science Geography Planning and Development Management Monitoring Policy and Law Oceanography Commercial fishing Nonlinear system Identification (information) Data assimilation Adjoint equation Dynamics (music) Econometrics Time series |
Zdroj: | Marine Resource Economics. 17:35-46 |
ISSN: | 2334-5985 0738-1360 |
Popis: | This paper has two main objectives. The first is to develop a dynamic model of commercial fisheries different from most existing models that assume optimizing behavior. The industry is assumed to have a well-defined index of performance. Based upon this index, the decision to invest or not is made. We do not, however, assume that the industry or firm is efficient or optimal in its operations. The second is that a new approach of fitting model dynamics to time series data is employed to simultaneously estimate the poorly known initial conditions and parameters of nonlinear fisheries dynamics. The approach is a data assimilation technique known as the variational adjoint method. Estimation of the poorly known initial conditions is one of the attractive features of the variational adjoint method. |
Databáze: | OpenAIRE |
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