• The Journal of Fisheries Business Administration
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• v.35 no.1
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• pp.117-132
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• 2004

This study attempts to suggest a new approach of the estimation of range and degree of fisheries damages caused by a large scale of reclamation undertaken in coastal area using the central limit theorem(CLT) in statistics. The key result of the study is the introduction of the new concept of critical variation of environmental factor($d_{c}$). The study defines $d_{c}$ as a standard deviation of the sample mean($\bar{X}$) of environmental factor(X), in other words, $\frac{\sigma}{ \sqrt{n}}$. The inner bound of $d_{c}$ could be the area of fisheries damages caused by public coastal undertaking. The study also defines the decreasing rate of fisheries production$\delta_{\varepsilon}$, in other words, degree of fisheries damages, as the rate of change in the distribution of sample mean(($\bar{X}$), caused by the continuous and constant variation of environmental factor. Therefore $\delta_{\varepsilon}$ can be easily calculated by the use of table of the standardized normal distribution.

• The Journal of Fisheries Business Administration
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• v.37 no.1 s.70
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• pp.73-93
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• 2006

This paper tries to apply the standard method for the estimation of range and degree of fisheries damages caused by warm water drained by generating plants to a real situation. The theoretic foundation of the study has been shown in the article published on the journal of fisheries business administration of last year. The paper tries to examine the degree of external appicability of the theoretic model through empirical study. The results of the study are as follows. The model has been found a successful device for the estimation of fisheries damages caused by warm water drained by generating plants. It also shows a possibility to work in any other fisheries damage cases caused by several kinds of public undertaking on coastal areas. The key of the model is the successful derivation of the quantity amount of the critical variation of environmental factors for example, in this case, water thermal variation. Therefore the countinous and appropriate collection of law data on the environmental factors under a viewpoint of statistics is essential to the usefulness of the model.

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2005.11a
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• pp.1-28
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• 2005