• International Commerce and Information Review
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• v.10 no.4
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• pp.373-393
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• 2008

The object of this thesis is to evaluate performance of Industry Complex of Rural Areas Policy and to suggest solutions to solve problems of the policy and development plans for Industry Complex of Rural Areas in Korea. The Industry Complex of Rural Areas Policy has contributed to increase of income and growth of industries in farming areas. Since business environment has been changing rapidly and competition has been getting fierce, Korean small business in rural are as need to develop new strategies to strengthen their competitiveness. Therefore, this thesis will suggest public programs to support for development of Korean small businesses in rural areas. The suggestions are as below 1) plans to form funds to provide financial aid to small business in rural areas. Specific plans to raise funds for public programs that would be executed by National Industry Complex of Rural Areas Association are included. 2) plans to improve abilities of SBCs to develop technologies 3) plans to establish marketing channels for SBCs in rural areas. 4) plans to create systems to promote restructuring in Industry Complex of Rural Area.

• Journal of Preventive Medicine and Public Health
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• v.41 no.5
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• pp.300-306
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• 2008

Objectives : This study was performed to compare the standardized mortality ratios among different small areas and to explore the usefulness of standardized mortality ratios in South Korea. Methods : To calculate the standardized mortality ratio (SMR), we obtained the national deaths certificate data (2004-2006) and national registration population data (2003-2006), and these were provided by the National Statistical Office. The small areas (Eup.Myoun.Dong) were based on the subdivisions of counties. Among the 3,580 small areas classified by the National Statistical Office, 3,571 areas were included in this study. The basic statistics and decile distributions of the SMRs for all the regional levels were calculated, and the small area maps were also produced for some selected regions. To evaluate the precision of SMR, we calculated the 95% confidence intervals of the SMR in selected small areas. Results : The mean and the standard deviation of the SMRs among all small areas were 100.8 and 17.0, respectively. The range was 30.6-211.7 and the inter-quartile range was 20.7. Seoul metropolitan city displayed the lowest mean SMR among 16 regions in South Korea, and 34.6 percent of the small area SMRs belonged to the first decile(the lowest group). On the contrary, the mean SMR of Gyeongsangnam province was highest, and 26.1 percent of the small area SMRs belonged to the tenth decile(the highest group). In some areas, the precision of the SMR, which was calculated by the 95% confidence intervals, remained questionable, yet it was quite stable for almost areas. Conclusions : The standardized mortality ratios can be useful for allocating health resources at the small area level in Korea.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.207-215
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• 2017

In this paper we study pooling effects in Bayesian testing procedures of independence for contingency tables from small areas. In small area estimation setup, we typically use a hierarchical Bayesian model for borrowing strength across small areas. This techniques of borrowing strength in small area estimation is used to construct a Bayes test of independence for contingency tables from small areas. In specific, we consider the methods of direct or indirect pooling in multinomial models through Dirichlet priors. We use the Bayes factor (or equivalently the ratio of the marginal likelihoods) to construct the Bayes test, and the marginal density is obtained by integrating the joint density function over all parameters. The Bayes test is computed by performing a Monte Carlo integration based on the method proposed by Nandram and Kim (2002).

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1621-1629
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• 2016

This paper studies Bayesian pooling for analysis of categorical data from small areas. Many surveys consist of categorical data collected on a contingency table in each area. Statistical inference for small areas requires considerable care because the subpopulation sample sizes are usually very small. Typically we use the hierarchical Bayesian model for pooling subpopulation data. However, the customary hierarchical Bayesian models may specify more exchangeability than warranted. We, therefore, investigate the effects of pooling in hierarchical Bayesian modeling for the contingency table from small areas. In specific, this paper focuses on the methods of direct or indirect pooling of categorical data collected on a contingency table in each area through Dirichlet priors. We compare the pooling effects of hierarchical Bayesian models by fitting the simulated data. The analysis is carried out using Markov chain Monte Carlo methods.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.1-10
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• 2004

In the Korean Economically Active Population Survey(EAPS), the sample sizes for small areas are typically too small to provide reliable estimators because the EAPS has been designed to produce unemployment statistics for large areas such as Metropolitan Cities and Province. In this study, we consider the synthetic and composite estimators for the unemployment rate of small areas, and apply them to real data on Choongbook province which is from the Korean EAPS of December 2000. The mean square errors of these estimators were estimated by the Jackknife method, and the efficiencies of small area estimators were evaluated in terms of the relative standard errors and the relative root mean square errors. As a result, the composite estimator is much more efficient than other estimators and it turns out that the composite estimator can produce the reliable estimates of the unemployment rate of small areas under the current EAPS system.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.245-254
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• 2016

Many surveys provide categorical data and there may be one or more missing categories. We describe a nonignorable nonresponse model for the analysis of two-way contingency tables from small areas. There are both item and unit nonresponse. One approach to analyze these data is to construct several tables corresponding to missing categories. We describe a hierarchical Bayesian model to analyze two-way categorical data from different areas. This allows a "borrowing of strength" of the data from larger areas to improve the reliability in the estimates of the model parameters corresponding to the small areas. Also we use a nonignorable nonresponse model with Bayesian uncertainty analysis by placing priors in nonidentifiable parameters instead of a sensitivity analysis for nonidentifiable parameters. We use the griddy Gibbs sampler to fit our models and compute DIC and BPP for model diagnostics. We illustrate our method using data from NHANES III data on thirteen states to obtain the finite population proportions.

• Journal of the Korean Institute of Educational Facilities
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• v.26 no.3
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• pp.25-32
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• 2019

Current, integrated schools are small schools in rural areas and old towns with declining population, or special purpose middle and high schools. And new residential districts in urban areas including Seoul have also been established in integrated schools. In particular, the number of school of central investment evaluation for integrated schools in urban areas is increasing. In this way, integrated schools, which have been mostly implemented in small rural areas, are being introduced as new ways to establish schools in urban housing development areas where the number of students is small or the number of students is difficult to predict. However, many studies of integrated school have been limited to appropriate scaling of small schools in rural areas, school management methods, and satisfaction surveys. The study of integrated school in urban areas is also focused on the study of architectural planning. In addition, there were limitations in suggesting the comprehensive establishment plan of schools or approaching urban planning when developing housing complexes. The purpose of this study is to suggest efficient establishment plan of integrated school in the development of urban housing complexes.

• Korean Journal of Health Education and Promotion
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• v.20 no.1
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• pp.19-39
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• 2003

Purpose: Although there is a lot of secondary data available for comparing community health status and planning health policies in terms of large area such as metropolitan cities or provinces, there is restricted data for establishing community health policies of the small areas such as towns, Gun(i.e., districts), and Gu. Specifically, the problems of producing a valuable index for health promotion in small areas are three fold: First, there is not an appropriate index model for measuring a small community health status. Second, a large part of secondary data in the small areas has been produced in an irregular time interval. In addition, all valuable data can not be integrated without time consuming work. Thus this study tries to establish a health promotion index model for assisting community health promotion initiatives of local governments. Methods and materials: Literature review, community health specialist consultation and a questionnaire survey was performed. Results: Based on Dever's model, a prototype of health promotion indicators was proposed and modified by the community health specialists. 15 classification scheme of statistical yearbook reorganized into the six areas. Those six areas were comprised in 24 indicator class with 96 specific indicators. Through further modification processes by a questionnaire survey, we developed a health promotion indicator model that contains six areas with 23 indicator class encompassed by 87 specific indicators. Conclusions: This study proposed a model of health promotion indicator comprised in the six areas with 23 indicator classes for measuring small area health promotion status. However, more specific or additional data in human biology, environment, and socioeconomic data is essential for producing a stronger model for health promotion measurement.

• Journal of the Korean Data and Information Science Society
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• v.11 no.1
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• pp.111-126
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• 2000

Small area estimation is becoming important in survey sampling due to a growing demand for reliable small area statistics. In estimating means, totals, and other parameters for small areas of a finite population, samplie sizes for small areas are typically small because the overall sample size is usually determined to provide specific accuracy at a much higher level of aggregation than that of small area. The usual direct estimators that use the only information which is gotten from the sample in a given small area provide unreliable estimates. However, indirect estimators utilize the information from the areas related with a given small area, that is, borrow strength from other related areas, and so give more accurate estimates than direct estimators. In this paper we investigate small area estimation methods such as synthetic, composite and empirical best linear unbiased prediction estimator, and apply them to real domestic data which is from the Survey of Hotels and Restaurants in In-Chon as of 1996 and then evaluate the performance of these methods by measuring average squared errors. This evaluation shows that indirect estimators, which are small area estimation methods, are more efficient than direct estimator.

• Journal of Environmental Science International
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• v.14 no.4
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• pp.435-444
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• 2005

A survey was conducted to 890 radiological technologists working at 44 general hospitals of 16 cities and provinces across the county to determine their stress level according to regions divided into the capital city, metropolitan areas and small- and medium-sized cities. For this purpose, such factors as their working environment, role playing, job conflict and job burden were compared and analyzed according to the regions. The findings may be summed up as follows: 1. In terms of working environment, radiological technologists in the capital city were found to have the least stress(23.46), followed by those in metropolitan areas(24.53) and small- and medium-sized cities(24.85). There was a significant difference according to the regions as for the item 'worry about influence of radioactive contamination(genetic, decisive and plausible)(P<0.001). 2. As for role playing, radiological technologists in small-and medium-sized cities appeared to receive the highest stress(l8.25) followed by metropolitan areas(l7. 71) and the capital city(l6.69). There was a statistically significant difference(P<0.001) according to the regions 3. Regarding job conflict, those who work in small- and medium-sized cities turned out to get the highest stress(15.66) compared to those in metropolitan areas(15.35) and the capital city(l4.44). In terms of job autonomy, there was no significant result from the survey in spite of the difference between metropolitan areas(14.87), small- and medium-sized cities(l4.79) and the capital city(l4.66). 4. Little difference was detected according to the regions as far as the job burden(excessive or too little) was concerned. But their was a significant regional difference in tenns of patient-related factors with the capital city(11.50), small- and medium-sized cities(l0.75), and metropolitan areas(1.63)(P<0.001).