• The Journal of Fisheries Business Administration
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• v.47 no.2
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• pp.33-41
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• 2016

The purpose of this study is to estimate the economic value of boat fishing experience marine tourism activity in Jeju Island's Chagwido. The economic value is estimated as consumer surplus using count data models including the truncated Poisson model and the truncated negative binominal distribution model. This study collects the effective 504 questionnaires from boat fishing experience tourists in Jeju Island's Chagwido. The truncated negative binominal distribution model was statistically more suitable and valid than other models. The truncated negative binominal distribution model was applied to estimate consumer surplus as economic value from boat fishing experience tourism activity in Jeju Island's Chagwido. A consumer surplus value per trip was estimated as about 209,900 won. The annual economic value from boat fishing experience tourism activity was estimated as 273,700 won in Jeju Island's Chagwido. Consequently, boat fishing experience marine tourism activity has a very large economic value in Jeju Island.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.12 no.2
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• pp.81-95
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• 2008

In this paper, the negative Polya-Eggenberger distribution has been introduced by compounding negative binomial distribution with beta distribution of I-kind which generates a number of univariate contagious or compound (or mixture of) distributions as its particular cases. The distribution is unimode, over dispersed and all of its positive and negative integer moments exist. The difference equation of the proposed model shows that it is a member of the Ord's family of distribution. Some of its interesting properties have been explored besides different methods of estimation been discussed. Finally, the parameters of the proposed model have been estimated by using a computer programme in R-software. Application of the proposed model to some data, available in the literature, has been given and its goodness of fit demonstrated.

• The Journal of Fisheries Business Administration
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• v.47 no.1
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• pp.21-29
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• 2016

The purpose of this study is to estimate the economic value of skin scuba marine tourism activity in Jeju Island. The economic value is estimated as consumer surplus using count data models including the truncated Poisson model and the truncated negative binominal distribution model. This study collects the effective 369 questionnaires from skin scuba marine tourists through three times in Jeju Island. The truncated Poisson model was statistically more suitable and valid than other models. The truncated Poisson model was applied to estimate consumer surplus as economic value from skin scuba in Jeju Island. A consumer surplus value per trip was estimated as about 4,081,633 won. The annual economic value from skin scuba marine tourism activity was estimated as 8,428,571 won in Jeju Island. Consequently, skin scuba marine tourism activity has a very large economic value in Jeju Island.

• Journal of Aquaculture
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• v.19 no.4
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• pp.236-241
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• 2006

Seasonal variation of the infection by three species of symbiotic copepods in clam, Tresus keenae was investigated in south coast of Korea. The prevalence and abundance of three symbiotic copepods showed seasonal variation with a peak in winter. Reproduction of the copepods occurs from early autumn to spring as indicated by higher ratio of gravid copepods. The frequency distribution of Lichomolgus inflatus, Pseudomyicola spinosus and Anthessius progectus in their host population could be fitted with negative binominal distribution. Results from the present study suggest that seasonal fluctuation in prevalence, relative density and mean intensity is related to temperature and life history of the symbiotic copepods.

• The Journal of Korean Medicine
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• v.35 no.3
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• pp.22-31
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• 2014

Objectives: The aim of this study was to identify the complementary and substitute relationships between the use of Korean medicine (KM) and that of Western medicine (WM) in the treatment of musculoskeletal disease. Methods: We analyzed the 2009 Korea Health Panel dataset. General characteristics and the medical utilization of respondents were analyzed descriptively. Logistic regression, negative binominal regression, and Tobit regression analysis were used to identify the relationships between the use of KM and the use, visit frequency, and expenses of WM, respectively. Results: In the treatment of musculoskeletal disease, KM use and non-herbal treatments with Korean medicine significantly reduced WM use. Herb medication use significantly increased WM visit frequency. There were no significant relationships between KM use and WM expenses. Conclusions: There are substitute relationships between WM use and KM use, especially non-herbal treatments in KM. Therefore we need to develop the clinical protocols of KM and WM treatments in the treatment of musculoskeletal disease for proper distribution medical resources.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.56-65
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• 2019

This study empirically analyzes the effect of weather on pedestrian volume in an urban space. We used data from the 2009 Seoul Flow Population Survey and constructed a model with the pedestrian volume as a dependent variable and the weather and physical environment as independent variables. We constructed 28 models and compared the results to determine the effects of weather on pedestrian volume by season, land use, and time zone. A negative binomial regression model was used because the dependent variable did not have a normal distribution. The results show that weather affects the volume of walking. Rain reduced walking volume in most models, and snow and thunderstorms reduced the volume in a small number of models. The effects of the weather depended on the season and land use, and the effects of environmental factors depended on the season. The results have various policy implications. First, it is necessary to provide semi-outdoor urban spaces that can cope with snow or rain. Second, it is necessary to have different policies to encourage walking for each season.