Research Article of American Journal of Agricultural Research
Natural resource modelling: accounting for gillnet size selectivity in dynamic deterrence model
Social & Economic Survey Research Institute (SESRI)
This paper applied the two times dynamic deterrence model (DDM) and relax the assumption of perfect size selectivity in gillnet in order to specify factors that determine violation rate. The method of comparative statics is employed to derive analytical results on the sensitivity of optimal violation to a number of key factors of high relevance to compliance with regulation designed to protect against over fishing. Analytical results obtained with this extended DDM confirm findings of earlier empirical studies. The study concludes that in developing country artisanal fisheries where probability of detection, enforcement and levels of fine are typically low, and poverty levels deriving high impatience about the future (discount rate) violation rates are bound to be high. The relative magnitude of the effects of each of these factors on compliance with regulation however, remains an important empirical question that requires further investigation for prioritization of policy actions.
Keywords: fishery regulation, dynamic deterrence model, gillnet size selectivity
How to cite this article:
Sana Abusin. Natural resource modelling: accounting for gillnet size selectivity in dynamic deterrence model. American Journal of Agricultural Research, 2018,3:16. DOI:10.28933/ajar-2018-01-0201
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