• Journal of Navigation and Port Research
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• v.37 no.6
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• pp.719-725
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• 2013

Northeast Asia region is becoming the hub of world trade with China as the center. Integration of this region's economy is now visualized, domestic trade and international division of labor will be more invigorated. Especially on electrical and electronics industry is a large proportion of the trading volume between Korea and China and now, Present condition of electrical and electronics trading industry can effect on whole trading industry. In this study, conducting analysis of the current Korea-China electrical and electronics industry trading and advanced research, and find out the implication to trading volume with the panel analysis. As the results Korean/Chinese GDP, revealed comparative advantage, and foreign direct investment have an effect on the trading volume.

• Journal of the Korean Wood Science and Technology
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• v.15 no.4
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• pp.32-44
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• 1987

This study was carried out to analyze and furecast the domestic demand for plywood in Korea by regression models with time-series data for 16 years(1970-85). The results obtained were summarized as follows. 1. To analyze domestic demand for plywood, GNP, PWI and CWI were used as independant variables. The domestic demand equation was computed as follows: $^{in}DDP$=0.65186+1.29412 $^{in}GNP$-0.28385 $^{in}PWI$-1.05011 $^{in}CWI$ Where DDP : Domestic demand for plywood(1000 S/F) GNP: Gross national product (Billion won) PWI : Real wholesale price index of plywood CWI: Real wholesale price index of construction materials. 2. Among independant variables reflecting on the production activity of plywood industry, GNP was the most decisive in forecasting the domestic demand for plywood. 3. The significance can be recognized highly because the decision coefficient of the forecasting model which is obtained by using time series data is 0.9. 4. According to the estimated regression coefficients for GNP, PWI and CWI, GNP shows positive relation while PWI and CWI show negative relation. 5. An annual average increase rate of demand for plywood was 9.4 percent during expect period. Therefore, it was decreased slightly than that of 10.2 percent during sample period.

• Health Policy and Management
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• v.29 no.2
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• pp.206-219
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• 2019

This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2018 constructed according to the SHA2011, which is a manual for System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analyzing health accounts of OECD member countries. Particularly, scale and trends of the total CHE financing as well as public-private mix are parsed in depth. In the case of private financing, estimation of total expenditures for (revenues by) provider groups (HP) is made from both survey on the benefit coverage rate of National Health Insurance (by National Health Insurance Service) and Economic Census and Service Industry Census (by National Statistical Office); and other pieces of information from Korean Health Panel Study, etc. are supplementarily used to allocate those totals into functional classifications. CHE was 144.4 trillion won in 2018, which accounts for 8.1% of Korea's gross domestic product (GDP). It was a big increase of 12.8 trillion won, or 9.7%, from the previous year. GDP share of Korean CHE has already been close to the average of OECD member countries. Government and compulsory schemes' share (or public share), 59.8% of the CHE in 2018, is much lower than the OECD average of 73.6%. 'Transfers from government domestic revenue' share of total revenue of health financing was 16.9% in Korea, lower than the other social insurance countries. When it comes to 'compulsory contributory health financing schemes,' 'transfers from government domestic revenue' share of 13.5% was again much lower compared to Japan (43.0%) and Belgium (30.1%) with social insurance scheme.

• Journal of Construction Engineering and Project Management
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• v.4 no.2
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• pp.12-22
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• 2014

Over the last decade, Saudi Arabia has experienced significant economic increases as evidenced by the 30% growth in its gross domestic product; furthermore, the construction industry has increased 10% in the same time period. Due to this significant growth, the construction industry is encountering issues related to construction quality resulting in significant waste and associated environmental impacts. In this research, we applied our previously developed framework that integrates three different methods-Lean, Green, and Six-sigma - to a residential construction complex in Saudi Arabia. Our aim of this case study was to explore the application of the framework in practice to glean quantitative results and further validate the framework. In the case study, we used the developed framework to identify a significant issue related to quality and delays - final completion of 53 residential units was delayed because of failed exterior buildings surfaces. We then used the framework to define the causes behind the defects via a field investigation of the 53 units. Of the defect, construction execution was responsible for 43% of the defect, 31% untrained workers, 19% unfavorable construction weather condition, with 7% accounting for other issues. A procedure was developed in concert with the construction manager and overall developer reducing the amount of rework and waste causes revealed by the field examination and the framework. Although two steps were added to the original construction process to overcome waste causes, still save a lot of resources and reduces environmental impact. In summary, we found that the Lean, Green, Six-sigma framework increased productivity, quality, and reduced waste.

• Environmental and Resource Economics Review
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• v.26 no.2
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• pp.173-203
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• 2017

The existence of rebound effect from road extension in Korea has been quantitatively verified using cross-sectional, time series data on four major cities - Seoul, Busan, Daegue and Incheon - between 2000 and 2013. The linear mixed effects model was constructed from six variables: total vehicle miles traveled (VMT), road extension, public transport users, gross regional domestic product (GRDP), regional population and fuel consumption. The main results can be summarized as VMT is positively correlated to road extension while negatively with public transport users. It indicates that the road extension-centered "supply-side" transportation policy induces "additional travel" and create "generated traffic" by enhancing driving efficiencies directly, or degrading other transport modes indirectly. Hence, the ultimate goal of road congestion reduction requires public transport-centered "demand management" rather than current supply-side policies.

• Journal of Korea Port Economic Association
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• v.24 no.4
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• pp.349-361
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• 2008

There has been abundant empirical research undertaken on the technical efficiency of Korean ports. Most studies have focused on the use of parametric and non-parametric techniques to analyse overall technical efficiency. This paper utilizes data for the period 2000-07 to offer a heterogeneous perspective on the overall efficiency of Korean ports. The framework assumes that ports use one input to produce one output; the output and input include port export(import) and regional export(import). This paper also employs panel analysis and heteroscedastic Tobit model to show the effect of the explanatory variables on the port efficiencies. The panel analysis shows that the regional export/total export has negative effect on the export efficiency while the regional import/total import has not any relations with the import efficiency. The heteroskedastic Tobit model shows that both regional export ratio and regional import ratio have negative effects on the efficiency while the gross regional domestic product has not any significant relations with the import efficiency.

• Journal of Preventive Medicine and Public Health
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• v.46 no.6
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• pp.300-308
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• 2013

Objectives: The purpose of this study was to classify determinants of cost increases into two categories, negotiable factors and non-negotiable factors, in order to identify the determinants of health care expenditure increases and to clarify the contribution of associated factors selected based on a literature review. Methods: The data in this analysis was from the statistical yearbooks of National Health Insurance Service, the Economic Index from Statistics Korea and regional statistical yearbooks. The unit of analysis was the annual growth rate of variables of 16 cities and provinces from 2003 to 2010. First, multiple regression was used to identify the determinants of health care expenditures. We then used hierarchical multiple regression to calculate the contribution of associated factors. The changes of coefficients ($R^2$) of predictors, which were entered into this analysis step by step based on the empirical evidence of the investigator could explain the contribution of predictors to increased medical cost. Results: Health spending was mainly associated with the proportion of the elderly population, but the Medicare Economic Index (MEI) showed an inverse association. The contribution of predictors was as follows: the proportion of elderly in the population (22.4%), gross domestic product (GDP) per capita (4.5%), MEI (-12%), and other predictors (less than 1%). Conclusions: As Baby Boomers enter retirement, an increasing proportion of the population aged 65 and over and the GDP will continue to increase, thus accelerating the inflation of health care expenditures and precipitating a crisis in the health insurance system. Policy makers should consider providing comprehensive health services by an accountable care organization to achieve cost savings while ensuring high-quality care.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1796-1801
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• 2004

IT Technology Paradigm Sift from hardware, software, networking to digital contents. In year 2001, IT small and medium size manufacture occupied 3.8% of gross domestic product(GDP). In the mean time, owing to the acceleration of global competition in information and communication technology, life cycle is reduced and global M&A is increased. The aim of this research is to analyze the performance of potential small and medium sized IT enterprise which can be adapt the change of new paradigm. and Also to work out a program of government's supports plan. Finally, It is to study a better plan that promote a new shape enterprise, which aimed to reform the industrial system. Some kinds of investigation, namely, ground investigation as well as questionnaire are performed in order to analyze not only the results of potential small and medium sized IT enterprise but also it's promoting plans.

• Journal of Preventive Medicine and Public Health
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• v.36 no.1
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• pp.85-91
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• 2003

Objectives : We investigated the effects of the economic growth and unemployment rates on the suicide rate in Korea, between 1983 and 2000, using a time-series regression model. The purpose of this study was to model and test the magnitude of the rate of suicide, with the Korean unemployment rate and GDP. Methods : Using suicide rate per 100,000 Koreans and the unemployment rates between 1983 and 2000, as published by the Korea National Statistical Office, and the rate of fluctuation of the Korean GDP (Gross Domestic Product), as provided by the Bank of Korea, as an index of the economic growth rate, a time-series regression analysis, with a first-order autoregressive regression model, was peformed. Results : An 81.5% of the variability in the suicide rate was explained by GDP, and 82.6% Of that was explained by the unemployment rate. It was also observed that the GDP negatively correlated with the suicide rate, while the unemployment and suicide rates were positively correlated. For subjects aged over 20, both the GDP and unemployment rate were found to be a significant factors in explaining suicide rates, with coefficients of determination of 86.5 and 87.9%, respectively. For subjects aged under 20, however, only the GDP was found to be a significant factor in explaning suicide rates (the coefficient of determination is 38.4%). Conclusion : It was found that the suicide rate was closely related to the National's economic status of Korea, which is similar to the results found in studies in other countries. We expected, therefore, that this study could be used as the basis for further suicide-related studies.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.777-807
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• 2012

This study analyzed the impacts of FTAs (Free Trade Agreements) actively being promoted by the Korean government on the Korean economy, energy consumption and greenhouse gas (GHG) emissions and found the policy implications in terms of the linkage amongst them. The simulation analysis by using a global CGE model, KEEI-GCGE, found that the effectuation of Korea-USA, the Korea-EU and the Korea-China-Japan FTAs at the same time would increase the real gross domestic product (GDP) of Korea by 2.04%. In addition, the energy consumption and GHG emissions of Korea are estimated to increase by 3.33% and 1.53% respectively. These results imply that the various medium and long-term plans and policies related to energy and GHG emissions in Korea should systematically reflect those potential impacts of the FTAs.