• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1631-1638
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• 2018

Korea has experienced an increase in the number of immigrants in accordance with accelerated globalization. In particular, the rapid surge in international marriages and multicultural families has created social adaptation or inclusion problems for these families in Korean society. This paper examines how information services or technological education programs affect the social integration of marriage migrant women in Korea. Using survey data on international marriage migrant women, we conducted multiple and logistic regression models to examine the relationship between information and technology services and life satisfaction and employment status. The results show that the experience of using social services tends to have positive effects on life satisfaction. Having experiences of information services or technological education improves marriage migrant women's chances of employment and increases their willingness to work or start a business. This indicates the importance of information services or technological educational training and social services in improving social adaptation and integration of marriage migrant women in Korea.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.4
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• pp.591-597
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• 2022

As social anxiety is increasing due to the spread of the COVID-19 epidemic, the responses at the level of local governments are also changing depending on the characteristics. We analyzed the factors influencing perceptions of social safety as they relate to the trustworthiness of local governments. Based on a 2020 social survey of 16 cities, counties, and districts in Busan Metropolitan City, the effects of householder characteristics, economic characteristics, local attachment characteristics, and social safety perception characteristics on the reliability of the local government were analyzed through an ordinal logistic regression analysis. It was found that the more vulnerable the class was and the safer the region was, the higher the trust was in the basic local government. In order to respond and preemptively recover damage in natural and social disaster situations, continuous efforts are needed to strengthen the capabilities of basic local governments.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.173-179
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• 2016

This study was conducted to provide basic information for future Anseong local food policy and local food activation by finding the key factor determining consumer purchasing for Anseong local food. First, we conducted a survey and derived consumer purchasing attributes for the local food. Logistic regression analysis was performed to find the main factors that determine the consumers' purchase intention for Anseong local food out of such seven attributes as 'excellent quality', 'safety', 'good for health', 'activation of local economy', 'low price', 'accessibility', 'variety of items'. The results showed that the most influencing attributes on consumers' purchase decisions for Anseong local food were 'excellent quality' and 'low price' followed by 'accessibility' and 'activation of local economy'.

• Journal of Labour Economics
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• v.27 no.1
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• pp.135-164
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• 2004

Using the data from the KLIPS, this study categorizes unemployed women into the four mutually exclusive groups according to the two criteria (whether to have intention to work and the comparison of reservation and market wages), and investigates factors affecting the status of the unemployment of women. Heckman's sample selection regression and multinomial logit are applied for the estimation. The major results are: the proportion of unemployed women who do not have intension to work or whose reservation wages are greater than expected market wages is about 50%, and the proportion of unemployed women who have intension to work or whose reservation wages are less than expected market wages is about 50%; second, human capital, burden of child raising and household production, household economic status, the variables related to work experience are found to be the factors affecting unemployment status of women.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.345-352
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• 2019

This paper examines the opportunistic behavior of corporate insiders and analyzes the relationship between equity change and the possibility of delisting. The findings are summarized as follows. First, the larger the stake reduction of insider, the greater the negative excess return after announcement. In the delisting firm group, there is a significant decrease in equity and statistically significant results in the difference test between the comparative groups. The logistic regression analysis showed that the regression coefficient of equity change was negatively statistically significant, indicating a significant correlation between insider share change and the possibility of delisting. These findings are expected not only to provide useful information for investors, but also to be evidence of capital market information asymmetry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.5810-5818
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• 2015

The dissertation presents the portfolio construction method using the score sheet so that general investors can utilize it easily. This study draws the significant variables to contribute the enterprise value and suggests the combined models by applying the single methodology, which private investors can easily utilize. The results of the research can be classified into 2 areas. Firstly, the significantly affecting variables were selected for analyzing the enterprise value. The variables and the method for the enterprise value analysis were studied from the existing researches to choose the optimal variables. The variables were identified by using AHP method and the structure equation method from the investigation of the previous researches. And the critical variables were added extracted from the common denominator of variables which the 3 grue investors used for their investment. The final variables identified are dividend yield, PER, PBR, PCR, EV/EBITDA, ROE, net income, sales growth rate, net current asset, debt ratio, current ratio, rate of operating profits, ratio of operating profit to net sales, ratio of net income to net sales, net profit to total assets, EPS growth rate, inventory turnover ratio, and receivables turnover. Second, the new methodologies for forecasting enterprise value modifying the existing methods were developed. The result of the Logistic regression analysis for forecasting showed that the equation could not be suitable as the accuracy with 91.98%.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.141-174
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• 2011

This paper presents the results of a meta-regression analysis on econometric evidence concerning the relationship between public funding of R&D and private R&D expenditure by reviewing literature and synthesizing existing results. The analysis on the effects of public financing on private investments in R&D has been the object of numerous studies, none of which having arrived at definite conclusion. A meta-analysis based upon a data-base including all relevant studies was carried out to examine whether the characteristics of the applied analysis influence the results. Three different empirical results are presented.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.11
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• pp.2238-2249
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• 2015

The purpose of this study is to analyze the relations of innovation and productivity following the introduction of ICT and the effects in the process of innovative investments activity-innovation-productivity, not only by finding causes and effects. For this purpose we conducted surveys of SMEs classified into 7 categories by type of business. To put it concretely, this study was performed to find out the foactors which allow companies to secure competitiveness by enhancing of innovative measures through ICT, and to further analyze the political implications for the development of small and medium-size business by conducting an empirical analysis of the process, from the determination of innovative investments all the way through to production. Analysis model used CDM model using econometric methods such as multiple regression analysis and multinominal logit analysis to produce results. Also we established and analyzed models of innovation investment determinants, innovation determinants and productivity determinants to analyze specifically the relations between ICT and productivity.

• Journal of Soil and Groundwater Environment
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• v.13 no.6
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• pp.1-16
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• 2008

There are generally two types of groundwater vulnerability assessments. Intrinsic vulnerability is based on the assessment of natural climatic, geological and hydrogeological attributes and specific vulnerability relates to a specific contaminant, contaminant class, or human activity. Several methods to assess groundwater vulnerability, which are based on hydrogeologic setting and socio-economical environment, have been developed in USA and Europe. A Modified-DRASTIC model including a lineament factor has been developed in South Korea, but it still has some limitations. To develop a solid and applicable method in this country, many data of quality, hydraulic features, GIS data, and pollution source, produced from a Basic Survey based on Article 5 of the Groundwater Act and other research projects, need to be collected, analyzed and verified introducing the previous methods.

• Journal of Preventive Medicine and Public Health
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• v.30 no.4 s.59
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• pp.729-740
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• 1997

To determine the relationship between hypertension and nutrient intake cross-sectional study were performed in a rural area. Adult resident over 30-year-old age were measured blood pressure and body mass index(BMI), and interviewed about food in-take for the previous 24 hours. 250 men and 297 women participated the survey. Significant correlation was showen in men between mean systolic blood pressure and protein density. Significant correlation with mean diastolic blood pressure was showen on protein density, protein energy(%), calcium density and energy-adjusted protein in men. We analysed risk factor for hypertension adjust the effect of age, BMI, sex and family history by multiple logistic regression. Protein density(odds ratio=3.18), fat density(odds ratio=1.94) and energy-adjusted protein(odds ratio=1.01) intake were positively associated with hypertension but sodium density(odds ratio=0.73) was showen to have inverse relationship.