• The Journal of Fisheries Business Administration
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• v.36 no.1 s.67
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• pp.155-166
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• 2005

Since 1980's, fishery household population have been continuously in a down slope with a 5$\%$ annual decreasing rate in Korea. With a particular situation that the scale of over 60s population has been soaring compared with that of under 16 aged population plunging, some difficulties have been raised with the respect of labor supply into fishery communities. This study is aimed at analyzing the tendency of fisheries population with the change of economic development rates and prospect a future fisheries population with the consideration of present decreasing rate. Model results indicate that the tendency of future fishery household population would be decreased by 4.96$\%$ annually through a decade from 2000. Interestingly, it is predicted that the decreasing rate of male fishery household population would be faster than that of female. Consequently, women would hold a greater part in Fishery household population in 2010. In addition, the fishery household population of 40s and 50s would increase from 36$\%$ to 49$\%$, that of over 60s from 21$\%$ to 37$\%$. In conclusion, as a population over 40's encompass almost 90$\%$ in the total population, the fishing communities have a difficulty in shortage of the young workforce.

• The Journal of Fisheries Business Administration
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• v.45 no.3
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• pp.39-53
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• 2014

This paper is to survey the research process and the problems in statistics of The Chronicle of Korea Fishery. The contents of The Chronicle were researched by two groups. One group is the managers of every province, the other group is the officers of every county. The managers performed the literature investigation research and field study and also arranged the reports from the county officers. But the managers seemed not to pay the full attention about the consistency of contents. The main contents about fishery are the number of coastal households and population, the number of fishery households and population, the number of fishing boats and fishing net. The body of The Choronicle and the table of fishing affairs in the appendages must be carefully compared to use the statistics. Though these statistics lack the consistency, the number of fishery households and boats deserves the attention. The fishing households account for less than 3% of all households, and about one third of fishing households has fishing boat.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.755-760
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• 1999

In multivariate stratified sampling surveys it is general to use a few stratification variables which are highly correlated with the important variables at design stage. But there might be some secondary study variables which are not so highly correlated with those stratification variables. In that case it is not efficient to use the same type of estimator due to the secondary variables as the one base on the important variables. A post-stratified estimation is proposed to increase the efficiency of the estimator with existence of secondary variables. The proposed method is illustrated with a set of fishery household population survey data.

• The Journal of Fisheries Business Administration
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• v.35 no.2
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• pp.31-51
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• 2004

The reduction of fishing grounds due to the establishment of EEZ system among China, Japan and Korea together with the depletion of fish resources by pollution of waters and successive reclamation projects along the east and the south coastal lines has made many problems in coastal communities including the decrease of population, the deepening aging phenomenon in the fishery society and the fall of relative income level compared with those of rural and urban residents. Especially, the income level of a fishing household is 90%. of a rural resident and 70% of a urban resident. The income of a fishing household consists of 55% of fishing income, 20% of a agricultural source, 20% of income from non-fishing areas, and 10% of transferred income. Compared with that of a Japanese fishing household which has more diverse income sources such as 62% of income coming from non-fishing areas through being hired in manufacturing firms, etc., that of Korean ones is highly dependent upon fishery and agriculture, so that the diversification of income sources is urgently needed, especially in non-fishing areas. This paper shows that as a model to upgrade fisherman's income level, firstly, it is necessary to enhance the value-added of fishing products through processing and new innovation of distribution process and, secondly, to promote tourism in fishing villages. To ascertain this model, a questionnaire survey to fishermen was carried out and showed that they expressed a strong support for the increase of income by the value-added process through processing and innovative distribution system and the active introduction of tourism in fishing villages. A case study on Gosan cooperative in Jeju was also introduced to identify the rationale of the suggested model and this study proved the validity of the model again. Conclusively speaking, to level up the fisherman's income requires the value- added activities through the introduction of product processing and new distribution system together with the introduction of marine tourism in fishing villages.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.311-328
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• 2005

This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.

• Journal of Environmental Impact Assessment
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• v.22 no.3
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• pp.195-201
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• 2013

Local governments are establishing their own greenhouse gas reduction goal and are playing a important role to respond to climatic changes. However, there are difficulties in quantitative analyses such as estimation of future greenhouse gas emission and computation of reduction potential, which are procedures required to establish mid to long term strategies to realize of low carbon society by each local governments. Also, reduction measures must reflect characteristics of each local government, since the reduction power of each local government can differ according to characteristics of each. In order to establish strategies that reflect characteristics of local governments, types of greenhouse gas emission from cities were classified largely into residential city, commercial city, residential commercial city, agriculture and fishery city, convergence city, and industrial city. As a result of analyzing basic unit of greenhouse gas emission by local government during 2007 in terms of per population, household and GRDP based on the type classification, significant results were deduced for each type. To manage the amount of the national greenhouse gas, reduction measures should be focused on the local governments that emits more than the average of each type's GHG emission.

• Journal of agricultural medicine and community health
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• v.42 no.3
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• pp.119-131
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• 2017

Objectives: The purpose of this study was to compare the diabetic management indicators between agriculture, forestry, and fishery workers (AFF) and other occupational adults (non-AFF) in community-dwelling diabetes. Methods: The study population consisted of 22,127 diabetic population ${\geq}19years$ who participated in the 2015 Community Health Survey. Chi-square test and logistic regression analysis was used to compare the diabetic management indicators between AFF and non-AFF. Socioeconomic characteristics such as age, gender, education level, monthly household income, National Basic Livelihood Security status, and marital status was sequentially adjusted. Results: Among total diabetic population, 3,712 people (16.8%) was AFF and 18,415 people (83.2%) was non-AFF. The fully-adjusted odds ratio [OR] (95% confidence interval [CI]) of current non-medical treatment (0.72, 0.66-0.79), measurement of hemoglobin A1c (0.61, 0.55-0.67), screening for diabetic retinopathy (0.76, 0.70-0.83), screening for diabetic nephropathy (0.75, 0.70-0.81), non-alcoholic or moderate drinking (0.70, 0.64-0.78), nutrition label reading (0.83, 0.71-0.98), low salt preference (0.85, 0.78-0.93), dental examination (0.60, 0.54-0.66), scaling experience (0.84, 0.77-0.93), regular toothbrushing (0.66, 0.58-0.76), and diabetes management education (0.84, 0.77-0.92) was significantly lower in AFF compared to non-AFF. In contrast, the fully-adjusted OR (95% CI) of AFF's low stress level (1.39, 1.26-1.52) and adequate sleep duration (1.22, 1.13-1.32) was significantly higher than non-AFF, which are better indicators of diabetic management in AFF. Conclusions: Overall, the level of diabetes management of AFF was not as good as that of non-AFF. In order to improve the level of diabetes management of AFF, a delicate diabetes intervention strategy considering the occupational characteristics of AFF will be needed.