• Journal of Environmental Science International
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• v.22 no.2
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• pp.235-242
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• 2013

The purpose of this article is analyzing the impacts of climate change on winter chinese cabbage yield in Korea, with employing a panel data regression model. Our results show that there is a negative impacts of high temperature and precipitation amount on winter chinese cabbage yields. Especially high temperature and rainfall in September cause serious damage to winter chinese cabbage yield. According to the reduction schedule on greenhouse gas emission(RCP 4.5 scenario.), winter chinese cabbage yield would be 7.7% lower than it is, for reasons of high temperature and rainfall damages by the end of 21st century.

• Health Policy and Management
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• v.27 no.4
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• pp.304-314
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• 2017

Background: This study aimed to analyze effects of postpartum care services to women after birth, identify the factors affecting their use, and examine the extent of income-related inequality in the postpartum care services utilization and expenditures using Korean Health Panel data between 2010 and 2013. Methods: The panel data of the year 2010-2013 of the 247 women after birth were used. First, EuroQoL-5D was used to evaluate the effects of postpartum care service to women's quality of life. Second, multinominal logistic regression analysis was used to identify determinants of the use of the postpartum care services. Finally, concentration index and HIwv (horizontal equity) index were used to find that the concentration index for the inequality in the use of postpartum care services showed negative sign, which implied pro-rich. Results: The estimation results showed that utilization of the postpartum services has a positive effect on women after birth. Also age, area of residence, and number of household members turn out to be the factors of using postpartum services. And there are inequality in the use of postpartum care services whose HIwv index showed positive sign, which implied pro-rich. Conclusion: Therefore, the government's policy of the postpartum care service is necessary to be expanded and diversified considering the personal characteristics and equity of the women after birth.

• Health Policy and Management
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• v.20 no.1
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• pp.1-18
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• 2010

This article examines social determinants of population health in OECD countries, where life years, infant mortality, and PYLL are used as proxy variables of health. The unit of analysis is a country which is the OECD affiliate. A panel regression estimation is chosen as a method, using OECD Health Data. The results are: the increasing national health expenditure affected positively to improve population health. Education was rather a significant determinant of health than income level. The government direct investment for public health did not contribute positively to enhance population health. The expansion of health care coverage was working positively for improving health, but with a time lag. The supply of doctors was a most influential determinant of health. In case of Korea, the coverage expansion of health care was the most important determinant of health. The supply of doctors was, however, not a positive factor for better health, which is different result with the case of OECD countries.

• Journal of Environmental Science International
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• v.21 no.12
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• pp.1503-1510
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• 2012

The purpose of this article is analyzing the impacts of climate change on red pepper yield in Korea, with employing a panel data regression model. Our results show that there is a negative impacts of high temperature and precipitation amount on red pepper yields. Especially high temperature and rainfall in July cause serious damage to red pepper yield. According to the reduction schedule on greenhouse gas emission(RCP 8.5 scenario.), red pepper yield would be 25.4% lower than it is, for reasons of high temperature and rainfall damages by the end of 21st century.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.355-362
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• 2019

The aim of this study was to identify factors affecting life satisfaction for adolescents with asthma or atopic dermatitis. Korean Child and Youth Panel Survey (KCYPS) Data in 2016 was used. The data were analyzed by Chi-square test, t-test, one-way ANOVA and stepwise multiple linear regression. In multiple stepwise regression analysis, less depression, higher resilience, higher self-esteem, more affectionate parenting behavior, lower age enhances the life satisfaction of adolescents with allergic disease. Educational program is necessary to improve the life satisfaction of adolescents with asthma or atopic dermatitis which is reflecting the result of this study.

• The Journal of Industrial Distribution & Business
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• v.12 no.8
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• pp.41-52
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• 2021

Purpose: The study aims to analyze effects of wage on FDI inflows based on the threshold of institutional quality in 14 developing economies of Southeast and South Asia over the period from 2000-2017. Research design, data, and methodology: The study applies a fixed effect panel threshold regression. As a proxy for the institutional quality, it uses the six components of Worldwide Governance Indicators or a compound index obtained by an average of the six components. The data were taken from World Bank, the Chinn & Ito Database, and UNCTAD. To the best of our knowledge, no researches so far have considered the threshold of institutional quality in estimating the effect of wage on FDI inflows. Results: The composite index and each component of the six indicators of institutional quality except for voice and accountability, and regulatory quality are found to have nonlinear effects on FDI inflows. When the institutional quality is below the threshold, wage affects FDI inflows negatively. When the institutional quality is above the threshold, however, wage does not significantly affect FDI inflows. Conclusions: The effect of wage on FDI inflows varies depending on whether the institutional quality of the target countries is above or below the threshold.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.751-762
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• 2021

This study aims to examine whether an increased disclosure has a positive impact on firm performance and whether the opposite impact of increased disclosure on firm performance can occur in certain conditions - high proprietary information and competition. The sample for this study consists of Indonesian firms listed on the Indonesia Stock Exchange (IDX). The data were selected based on purposive sampling and panel data spanned eleven years (2006-2016). A panel GLS regression using moderated regression analysis (MRA) was adopted. The results of this study reveal that an increased disclosure has a positive effect on firm performance, but an increased disclosure has a negative impact on firm performance when proprietary information is high, and vice versa. Also, if the disclosure is increased, the negative impact of proprietary information on firm performance will get exacerbated in conditions where the competition level is high. The findings of this study suggest that, since the positive effect of continuously-increased disclosure on firm performance leads to the reversal (negative) impact when certain conditions occur (high proprietary information and competition), the level of disclosure quality is most likely to tap an 'optimal' point. In this regard, however, a broader investigation of all firms across countries still needs to be conducted.

• The Journal of Economics, Marketing and Management
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• v.7 no.2
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• pp.1-5
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• 2019

Purpose - Along with the rise of foreign investments in the Korean stock market, there has been a variety of studies on their influence. The conflicting findings on the question of information asymmetry of foreign investors among existing literatures appear to be a result of mixture of research method problems, what information is defined as being comparable, individual business levels, or the entire stock market. This paper empirically investigates what factors contribute to foreign investments in firms in the Korean stock market. Research design, data, and Methodology - Samples are constructed by manufacturing firms listed on the stock market of Korea as well as those who settle accounts in December from 2001 to 2018. Financial institutions are excluded from the sample as their accounting procedures, governance and regulations differ. This study adopted the panel regression model to assess the sample construction including yearly and cross-sectional data. Result - This paper find that firms' R&D, dividends, size give significant positive impact to foreign investment, whereas debt gives significant negative impact to foreign investment. This relationship does not change when the samples are divided before and after the 2008 global financial crisis. Conclusion - This results support the literatures that foreign investors favor firms lowering their information asymmetry.

• Physical Therapy Rehabilitation Science
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• v.12 no.2
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• pp.80-91
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• 2023

Objective: The purpose of this study is to identify factors that affect the incidence of hypertension using logistic regression and decision tree analysis, and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 9,859 subjects from the Korean health panel annual 2019 data provided by the Korea Institute for Health and Social Affairs and National Health Insurance Service. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In logistic regression analysis, those who were 60 years of age or older (Odds ratio, OR=68.801, p<0.001), those who were divorced/widowhood/separated (OR=1.377, p<0.001), those who graduated from middle school or younger (OR=1, reference), those who did not walk at all (OR=1, reference), those who were obese (OR=5.109, p<0.001), and those who had poor subjective health status (OR=2.163, p<0.001) were more likely to develop hypertension. In the decision tree, those over 60 years of age, overweight or obese, and those who graduated from middle school or younger had the highest probability of developing hypertension at 83.3%. Logistic regression analysis showed a specificity of 85.3% and sensitivity of 47.9%; while decision tree analysis showed a specificity of 81.9% and sensitivity of 52.9%. In classification accuracy, logistic regression and decision tree analysis showed 73.6% and 72.6% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. It is thought that both analysis methods can be used as useful data for constructing a predictive model for hypertension.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.4
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• pp.15-25
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• 2005

As implied by the terms of IT productivity Paradox, measuring the Information technology contribution to economic performance has been one of the challenging issues to both policy makers and business professionals. As such, diverse attempts with sophisticate analyses have been reported in the literature to analyze the effect of IT contributions. In this paper, we follow Growth Accounting Method to measure the IT contribution effect to manufacturing firm's economic performance in Korea. Various regression methods and statistical analyses are applied with fourteen years of industry Panel data. Using the Cobb-Douglas function, time lag analysis is made to understand IT effect to economic growth. Instead of capturing data from individual firm, industry level data from the National Statistics Bureau is used for IT capital, non-IT capital, and so on. Statistical analysis following the panel unit test and Panel co-integration test was performed to reveal the exact effect of IT contribution to economic performance. Empirical testing results for non-stationary nature of IT investment effect are reported as well as IT contribution to manufacturing industry's economic performance.