• Environmental and Resource Economics Review
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• v.23 no.1
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• pp.133-156
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• 2014

In general, quantity results of empirical analysis using model shows how much big performance policy has. Therefore this is useful to evaluate a policy. This paper composed macro economic model based on Bank of Korea's quarterly model and annual model, that estimates performance of overseas oil and gas development project to Korean economy in aspect of quantity. In this model, we estimated each effect in real GDP, current account, unemployment rate, CPI and exchange rate carried by recovered amount from overseas oil and gas development project. The recovered amount was evaluated in currency coming from oil and gas acquired from overseas oil and gas development project. Macro economic model of this paper benchmarked macro model composed by Bank of Korea(1997, 2004, 2012). We reviewed model robustness using statistical suitability of each equation and historical simulation for from 1994 to 2011. The recovered amount of overseas oil and gas development project has positive effect in every macro economic index except CPI and exchange rate. Economic effect to macro economic index become bigger with time because the recovered amount of overseas oil and gas development project are increasing until now. Although empirical results of economic effects in every year from the recovered amount of overseas oil and gas development project are different, as of 2011, empirical results showed that the recovered amount of overseas oil and gas development project increase 2.226% and 0.401% in current account and real GDP respectively. And it also decrease 0.489%p in unemployment rate. Exchange rate to US dollars also decrease in amount of 0.379%.

• Journal of dental hygiene science
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• v.12 no.3
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• pp.245-252
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• 2012

This study aimed to evaluate the correlation between metabolic syndrome and periodontal in the adult Korean population on the basis of the 2009 Korea National Health and Nutrition Examination Survey(NHANES) data. Of 19-year-old or older adult patients suffering from their disease diagnosed as metabolic syndrome, 1,315 subjects whose community periodontal index(CPI) information was fully available were finally analyzed, and the following conclusions were drawn. 1. It was found that of sociodemographic characteristics, age and educational background correlated to the prevalence of periodontal diseases. With increasing age and poorer educational background, the rates of periodontal diseases increased(p<0.001). 2. It was revealed that of general health behaviors, smoking, alcohol drinking and BMI correlated with the prevalence of periodontal diseases. Higher rates of periodontal diseases were shown in the group of patients who were current smokers(p<0.05), had the higher frequency of drinking per week(p<0.001), and had higher BMI(p<0.005). 3. It was ascertained that of oral health behaviors, the history of oral health examination in the previous year, the use of proxabrush or dental floss, and perceived(i.e., subjective) oral health status correlated to the prevalence of periodontal diseases. The higher rates of periodontal diseases were seen in those who had no history of oral health examination in the previous year(p<0.001), had used neither proxabrush nor dental floss(p<0.05), and perceived that their own oral health was poor(p<0.001).

• Journal of the Korea Institute of Building Construction
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• v.10 no.1
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• pp.199-212
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• 2010

To establish an infrastructure for technology and information in the domestic construction industry, several construction regulations pertaining to construction information have been institutionalized. However, there are major problems with the domestic information classification system, earned value management (EVM) and project management information system (PMIS). In particular, the functions of the current PMIS have consisted of a builder-oriented system, and as EVM is not applied to PMIS, the functions of reporting, analysis and forecast for owners are lacking. Moreover, owners cannot confirm information on construction schedule and cost in real time due to the differences between the EVM and PMIS operation systems. The purpose of this study is to provide a framework that is capable of operating PMIS efficiently under an e-business environment, by providing a proposal on how to establish a work breakdown structure (WBS) and an EVM - PMIS integration model, so that PMIS may provide the function of EVM, and stakeholders may have all information in common. At the core of EVM - PMIS integration is the idea that EVM and PMIS have the same operation system, in order to be an activity-based system. The principle of the integration is data integration, in which the information field of an activity is connected with the field of a relational database table consisting of sub-modules for the schedule and cost management function of PMIS using a relational database management system. Therefore, the planned value (PV), cost value (CV), actual cost (AC), schedule variance (SV), schedule performance index (SPI), cost variance (CV) and cost performance index (CPI) of an activity are connected with the field of the relational database table for the schedule and cost sub-modules of PMIS.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.385-391
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• 2022

In this study, a multivariate time series analysis was conducted to identify various variables that impact ocean freight rates in addition to supply and demand factors. First, we used the ClarkSea Index, Clarksons Average Bulker Earnings, and Clarksons Average Tanker Earnings provided by the Shipping Intelligence as substitute variables for the dependent variable, ocean freight. The following ndependent variables were selected: World Seaborne Trade, World Fleet, Brent Crude Oil Price, World GDP Growth Rate, Industrial Production (IP OECD) Growth Rate, Interest Rate (US$ LIBOR 6 Months), and Inflation (CP I OECD) through previous studies. The time series data comprise annual data (1992-2020), and a regression analysis was conducted. Results of the regression analysis show that the World Seaborne Trade and Brent Crude Oil P rice impacted the ClarkSea Index. Only the World Seaborne Dry Bulk Trade impacted the Clarksons Average Bulker Earnings, World Seaborne Oil Trade, Brent Crude Oil Price, IP, and CP I on the Clarksons Average Tanker Earnings.

• Journal of dental hygiene science
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• v.13 no.4
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• pp.426-433
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• 2013

The objective of this study was to examine whether there is an association of oral health conditions between mothers and their preschool children in Korea. A sample of 823 preschool children and their mothers were selected for this study from the database of the fourth Korean National Health and Nutrition examination Survey. Preschool children were defined as children aged 4, 5, and 6 years old. The subjects were clinically examined for the presence of caries lesions (dft index) and their mother was checked for the presence of dental caries (DMFT index) and periodontal status (CPI). The socio-demographic characteristics and mother's oral health behaviours were considered covariates in this study. Univariate and multivariate analysis was adapted to assess the association of oral health condition between mothers and their preschool children. In univariate analysis, there were significant differences between preschool children's dft index and their mother's age (p=0.005), dental treatment demand for the past one year (p=0.034), and DMFT index (p=0.016). In multivariate analysis, only mother's DMFT index was significantly associated with their children's dft index after adjusting for covariates. In conclusion, the mother's oral health was partly associated with their preschool children's oral health in Korea.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.109-114
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• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

• Korean Journal of Health Education and Promotion
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• v.27 no.1
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• pp.61-69
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• 2010

Objectives: The aim of this study was to examine socioeconomic inequalities in oral health and to investigate the extent to which socioeconomic disparities in oral health are attenuated by oral health related consciousness and behaviors. Methods: We used data from the third 2006 Korea National Oral Health Survey(KNOHS) and a total of 3,457 subjects aged over 18 years were analyzed. The dependent variable was periodontal conditions which is devided into dichotomy, that is, health and ill-health, using the Community Periodontal Index(CPI) in KNOHS. Socioeconomic status(SES) were measured by educational attainment, income and residential area. Age, gender, oral health consciousness(self-assessed oral health status, concern about oral health and self-perceived dental treatment needs and behaviors(brushing, use of dental floss and dental visits) were adjusted in binary logistic regression analysis. Results and Conclusion: The results show that oral health consciousness and behaviors do not mediate the relationship between SES and periodontal health and there might be limitations to attenuate socioeconomic disparities in oral health only by changing of either oral health consciousness or(and) behaviors. Our findings suggest that more definite oral health policies and dental health education among adults with lower education will need in order to improve oral health.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.169-178
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• 2020

In this paper, we provide an overview of financial development in Vietnam. Particularly, a new approach of this study is to measure financial development through improvements in depth, efficiency and access of the banking system and stock market. Further, the study examines the factors significantly affecting financial development in Vietnam. The data are collected in Vietnam, an emerging country with a limited financial development. We employ the Autoregressive Distributed Lag (ARDL) approach, which generates a high reliability and suits data characteristics of emerging countries like Vietnam. We observe that Vietnam's banking system plays a key role in supplying credits to the economy while the nascent stock market at a limited size shows its potential for a considerable growth in the future. We also find the influential determinants of financial development in Vietnam including real estate market (RE), economic growth (EG), consumer price index (CPI), and global financial crisis (GFC). These findings are essential for Vietnamese authorities in providing practical solutions in order to build a sustainable and synchronous financial development. They are also first empirical evidence relating to an overview of financial development in an emerging country, so they are not only valuable to Vietnam but also crucial to other emerging economies.

• Journal of Korean society of Dental Hygiene
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• v.16 no.6
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• pp.825-833
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• 2016

Objectives: The purpose of the study was to examine the relationship between smoking behavior and periodontitis in Korean adults. Methods: The study subjects were 4,896 from the sixth Korean National Health and Nutrition Examination Survey. Data were analysed by chi-square test and multiple logistic regression analysis using SPSS 20.0 program. Results: The rate of periodontitis was 27.5%. The prevalence rate of periodontitis was closely related to socio-economic characteristics including gender, age, living area, household income, educational level, history of diabetes mellitus, and regular dental visit. The rate of periodontitis in non-smoker, ex-smoker, and current smoker were 56.7%, 19.5%, and 23.8%, respectively. Smoking behavior was significantly related to socio-economic characteristics. After adjusting for gender, age, household income, educational level, history of diabetes mellitus, and dental visit within 1 year, the risk of periodontitis in ex-smoker and current group were 1.31 (95% CI; 1.04-1.65) and 2.31 (95% CI; 1.87-2.85), respectively. Conclusions: Smoking behavior had a significant impact on periodontitis prevalence in Korean adults.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.311-324
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• 2021

Investors have increasingly become interested in macroeconomic antecedents in order to better understand the investment environment and estimate the scope of profitable investment in equity markets. This study endeavors to examine the interdependency between the macroeconomic antecedents (international oil price (COP), Domestic gold price (GP), Rupee-dollar exchange rates (ER), Real interest rates (RIR), consumer price indices (CPI)), and the BSE Sensex and Nifty 50 index return. The data is converted into a natural logarithm for keeping it normal as well as for reducing the problem of heteroscedasticity. Monthly time series data from January 1992 to July 2019 is extracted from the Reserve Bank of India database with the application of financial Econometrics. Breusch-Godfrey serial correlation LM test for removal of autocorrelation, Breusch-Pagan-Godfrey test for removal of heteroscedasticity, Cointegration test and VECM test for testing cointegration between macroeconomic factors and market returns,] are employed to fit regression model. The Indian market returns are stable and positive but show intense volatility. When the series is stationary after the first difference, heteroskedasticity and serial correlation are not present. Different forecast accuracy measures point out macroeconomics can forecast future market returns of the Indian stock market. The step-by-step econometric tests show the long-run affiliation among macroeconomic antecedents.