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Optimal Stock, Harvest and Effort Level of Bangladesh Trawl Shrimp Fishery – a Nonlinear Dynamic Approach

M. SHAMIM UDDIN KHAN
Asstt. Professor
Department of Finance and Banking, University of Chittagong, Chittagong, Bangladesh

Abstract/ Executive Summary:

The purpose of this paper is to develop a non-linear dynamic model for Bangladesh trawl shrimp fishery for optimal control in the discrete-time frame. The model has been developed on the concept of optimal resource management based on the criterion of maximization of present values of net economic revenues. The results of the optimal steady state solutions (i.e. optimal stock, harvest and effort level) for ensuring long-run sustainability of the resource through the model are presented. Results reveal that Bangladesh marine shrimp fishery is not managed and utilized optimally. The present condition of high effort level, less harvest amount and less shrimp stock indicates that the danger of depletion of the resource cannot be ruled out.

Keywords: Bangladesh marine shrimp fishery, Optimal management, Non-linear dynamic model

Location: In Bangladesh

Start Date: 00-00-1981

End Date: 00-00-2006

Program Area: Postharvest and Agro-processing

Commodity: Shrimp

Objectives:

To estimate the optimal steady-state solution (i.e. optimal stock, harvest and effort level) through the model that ensures the long-run sustainability of the resource, maximum benefit and excludes the possibility of depletion due to overexploitation.

Methodology:

Sources of Data and Methodology: We have used published data of (i) BOBP (1993; 1997), (ii) Department of Fisheries (DOF, 2000), (iii) Marine Fisheries Survey Management Unit Chittagong (MFSMUC, 2007), Bangladesh, for the time-series data of harvest and effort for the period 1981-1982 to 2005-2006. Due to the unavailability of time series data on dock-price of commercially exploited trawl shrimp, we have used published data of the Export Promotion Bureau of Bangladesh (EPBB, 2000) for time-series data of exported shrimp price. The data from sample survey made by Khan and Hoque (2000) are used for the estimation of cost parameters. We have solved the nonlinear dynamic optimization model with discrete time through Microsoft Excel. The Model: We assume that one of the objectives of the shrimp fishery is that it should be managed to maximize the discounted present value of net benefit over time. In the case of Bangladesh trawl shrimp fishery, we propose the following non-linear dynamic programming problem, which maximizes the objective function of the present value of net benefit (PVNB) over the time period (0,T) with discrete uniform time interval, subject to usual constraint of growth function.

Source of Information: J Agric Rural Dev 5(1&2), 143-149, June 2007; ISSN 1810-1860

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The results of the study presented in this paper conclude the following: (a) Bangladesh marine shrimp fishery is not managed and utilized optimally. (b) Present condition of high effort, less harvest and less biomass stock indicates that the danger of depletion of the resource cannot be ruled out. (c) Steady state is found to be attained by the system very quickly. It implies that marine shrimp fishing of Bangladesh would take less time and cost to recover from the sub-optimal level if corrective measures are taken.

Knowledge Management: Journal