• Journal of Digital Convergence
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• 제18권9호
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• pp.103-112
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• 2020

The purpose of this study is to examine the current status and components of Korean National Debt and to analyze the effects of each component on National Debt. In the Korean Statistical Information Service (KOSIS), we searched for data such as General Accounting Deficit Conservation, For Foreign Exchange Market Stabilization, For Common Housing Stability, Local Government Net Debt Public Funds, etc that constitute National Debt. The analysis period used a total of 23 annual data from 1997 to 2019. The data collected in this study use the rate of change compared to the previous year for each component. Using this, this study attempted index analysis, numerical analysis, and model analysis. Correlation analysis result, the National Debt has a high relationship with the For Common Housing Stability. For Foreign Exchange Market Stabilization, Public Funds, etc., but has a low relationship with the Local Government Net Debt. Since 1997, National Debt has been increasing similarly to the For Foreign Exchange Market Stabilization, For Common Housing Stability and Public Funds etc. Since 2020, Korea is expected to increase significantly in terms of For Common Housing Stability and Public Funds, etc due to Corona19. At a time when the global economic situation is difficult, Korea's National Debt is expected to increase significantly due to the use of national disaster subsidies. However, if possible, the government expects to operate efficiently for economic growth and financial market stability.

• Korean Journal of Construction Engineering and Management
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• 제14권3호
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• pp.78-87
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• 2013

The modern society has been drastically changed from the industrial economic society to the knowledge based society, to catch up with the knowledge and the change of technology required for the modern people, the people can not live in the modern society without the continued study or education. In case of architectural design firm, it is concentrating on the productivity of enterprise by cultivating the working level through the self education focused on the improvement of inner capacity. In connection with this, the efficiency of enterprises are analyzed by carrying out the Data Envelopment Analysis(DEA) utilizing the financial ratio index in the various field of industries recently, the analysis study for the efficiency utilizing DEA is increased in the construction industries as well. However, in case of construction industries, the study focused on the efficiency of administration only has been progressed, it is the real situation that the approach for the analysis of education efficiency of each enterprise is very insufficient. Therefore, this study analyzed the education efficiency of architectural design firm after the selection of input and output variables by utilizing the DEA model and utilizing the AHP analysis technique by deducting the variables through the preceding study in relation to the education efficiency and the interview with the specialists.

• Environmental and Resource Economics Review
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• 제20권4호
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• pp.859-882
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• 2011

Since two oil crises in the 1970s, Korea has actively engaged in overseas E&P projects to increase energy diversity as well as its self-development rate of energy resources. Korea's energy self-development rate, an index that indicates the ratio of resources acquired through overseas development compared to direct imports. Currently, Korea is conducting a total of 180 promising overseas oil development projects in 36 countries as of the end of 2010. By now, it has secured a reserve of around 1.63 billion barrels and production of around 176 thousand barrels of oil per day. The self-development rate for oil rose from 2.8% in 2006 to 7.4% in 2010. Not content with these remarkable successes, the korean government is planning to raise its self-development rate in oil to 25% by 2019, by promoting the active participation of Korean companies in overseas oil development projects. This paper is concerned with estimation of the required amount of government subsidies that includes loans and financial support through state-controlled banking institutions in order to reach the target 25% rate by 2019. The estimation results shows that government subsidies of at least 268 million dollars are needed for the current rate of 7.4% in oil. However, the amount sharply increases up to 1.25 billion dollars in 2019 when domestic oil demand rises to 1.02 billion barrels.

• The Journal of the Korea Contents Association
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• 제17권5호
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• pp.34-44
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• 2017

This paper summarizes the results of the government R&D funding for ICT SMEs over the past five years, and compares the differences in R&D performance of the government funding methods (grant and loan). Two major ICT SMEs funding programs were examined, and the data used in the comparison were based on the performance analysis report published by the MSIP (Ministry of Science, ICT and Future Planning) every year. Considering that the projects' conductors were SMEs and that the R&D stages were in development research, the comparison categories were the number of patents and employment (or jobs) positions created, and commercialization success rate and its sales. Comparative analysis results proved that the SME R&D programs were funded with grants had excellent technological achievements in terms of the number of patent applications and registrations. On the other hand, SME R&D programs that were funded by the government loans had relatively higher economic and social achievements, such as employment effects and commercialization sales. However, it was difficult to come to a comparative conclusion on the category of commercialization success rate between the two programs. As the result, this paper provides suggestions for the direction and policy of the government financial support for ICT SME R&D.

• Korea Real Estate Review
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• 제24권1호
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• pp.39-52
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• 2014

This study examines the degree of global co-movement & spillover effect among the housing price of ten major countries of OECD including Korea, based on the 3 hypothesis. The data used in this study is quarterly house price index of OECD countries from 1975 to 2012. VAR model is used to analyze the co-movement, and Granger causality methodology is used for the analysis of Spillover Effect. It is found that entire period of study is that the global house prices showed the co-movement, but the coefficient was weak. Since 2008 global financial crisis, the co-movement increased significantly and the adjusted R-square of this model increased 78% compared to the entire period (1975-2012). In general, all hypotheses in this study were significant, and the common shock hypothesis were most significant. In case of Korea, the degree of co-movement was weak compared to the other countries and spillover effect was independent since 2008.

• Journal of the Korea Society of Computer and Information
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• 제15권1호
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• pp.207-217
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• 2010

It is taken a violent fall of the international stocks market that was an American Subprime Mortgage Situation. The loss rate of individual investor judged than foreigner and institution by bigger thing. Therefore, further scientific and mechanical investment is needed at the stock investment using Internet HTS. This dissertation is stocks profit rate analysis which uses individual engine foreigner Knowledge Base HTS at the Bear Period the Bear Wave Period the Bull Period the Bull Wave Period. Knowledge Based e-friend HTS was Installed. HTS does composite stock exchange index in actuality stock trading and engine's fund earning rate, yield that is abroad comparative analysis using trend line that is HTS tool, MACD, Bollinger Bands, Stochastic slow's function. Usually, each subjects suppose that deal 5 stocks, and comparative study of the profit(loss)rate of the down to earth falling rate and rising rate, by comparing the earning rate of 5 Small capital stocks with 5 medium capital stocks and 5 Large capital stocks during the bear period, the bear wave period, the bull period, the bull wave period has meaning at the making research of the financial IT field.

• Journal of the Korea Convergence Society
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• 제12권6호
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• pp.9-16
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• 2021

In the past, there have been various studies on predicting the stock market by machine learning techniques using stock price data and financial big data. As stock index ETFs that can be traded through HTS and MTS are created, research on predicting stock indices has recently attracted attention. In this paper, machine learning models for KOSPI's up and down predictions are implemented separately. These models are optimized through a grid search of their control parameters. In addition, a hybrid machine learning model that combines individual models is proposed to improve the precision and increase the ETF trading return. The performance of the predictiion models is evaluated by the accuracy and the precision that determines the ETF trading return. The accuracy and precision of the hybrid up prediction model are 72.1 % and 63.8 %, and those of the down prediction model are 79.8% and 64.3%. The precision of the hybrid down prediction model is improved by at least 14.3 % and at most 20.5 %. The hybrid up and down prediction models show an ETF trading return of 10.49%, and 25.91%, respectively. Trading inverse×2 and leverage ETF can increase the return by 1.5 to 2 times. Further research on a down prediction machine learning model is expected to increase the rate of return.

• Korean Journal of Social Welfare Studies
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• 제42권1호
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• pp.31-54
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• 2011

This study investigates the nature of the welfare state under the Kim Dae Jung and Roh Moo Hyun regime focusing on participatory democracy in the policy decision making procedure for the National Health Insurance. Participatory democracy was introduced not for the qualitative development of Korean democracy but for securing political legitimacy to change the Korean economic structure after the IMF financial crisis. Although participatory democracy played the positive role in winning higher benefit level in National Health Insurance. an index for the development of the welfare state, in 2007 A policy of higher benefit level ended in failure because of the pursuit of the neoliberal ideology, lack of government's responsibility for public finance, and thwarting policy holders' substantial participation in the decision-making process. Like those of past welfare systems, participatory democracy under the Kim Dae Jung and Roh Moo Hyun regime was introduced for securing political legitimacy. But it was managed under restrictions imposed by pro-economic-growth ideology. Nevertheless, the Kim Dae Jung and Roh Moo Hyun governments are different from the former welfare states because of the fact that participatory democracy system is not 'service' system but 'political structure' and the fact that the grant of powers by participatory democracy played positive roles in the development of welfare state through request of higher benefit level policy.

• Korean small business review
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• 제40권3호
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• pp.1-24
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• 2018

The purpose of this study is verifying with corporate financial data that the required investment amount flow shows a similar pattern as times passed, in new product development by start-up company. In the previous paper, the same authors proposed the required investment amount flow as a 'New Product Investment Curve (NPIC)'. In this study, we have studied further in various types of companies. The samples used are accounting data of 462 companies selected from 5,873 Korean companies which were finished external audit in 2015. The results of this study are as follows; The average investment period was 3 years for the listed companies, while 6 years for the unlisted companies. The investment payback period was 6 years for listed companies, while 17 years for unlisted companies. The investment payback period of the company supported by big affiliate company (We call 'greenhouse company') was 14~15 years, while 17 years for real venture companies. When we divide all companies into 4 groups in terms of R&D cost and variable cost ratio, NPIC explanatory power of 'high R&D and high variable cost ratio group (Automobile Assembly Business) is best. Among the eight investment cost indexes proposed to estimate the investment amount, the 'cash 1' (operating cash flow+fixed asset excluding land & building+intangible asset, deferred asset change)/year-end total assets) turned out to be the most effective index to estimate the investment flow patterns. The conclusion is that NPIC explanatory power is somewhat reduced when we estimate all companies together. However, if we estimate the sample companies by characteristics such as listed, unlisted, greenhouse, and venture company, the proposed NPIC was verified to be effective by showing the required investment amount pattern.

• Journal of Preventive Medicine and Public Health
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• 제56권5호
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• pp.467-474
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• 2023

Objectives: Diabetes mellitus (DM) is a serious public health issue that places a heavy financial, social, and health-related burden on individuals, families, and healthcare systems. Self-reported health-related quality of life (HRQoL) is extensively used for monitoring the general population's health conditions and measuring the effectiveness of interventions. Therefore, this study investigated HRQoL and associated factors among patients with type 2 DM at a primary healthcare center in Indonesia. Methods: A cross-sectional study was conducted in Klaten District, Central Java, Indonesia, from May 2019 to July 2019. In total, 260 patients with DM registered with National Health Insurance were interviewed. HRQoL was measured with the EuroQol Group's validated Bahasa Indonesia version of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) with the Indonesian value set. Multivariate regression models were used to identify factors influencing HRQoL. Results: Data from 24 patients were excluded due to incomplete information. Most participants were men (60.6%), were aged above 50 years (91.5%), had less than a senior high school education (75.0%), and were unemployed (85.6%). The most frequent health problems were reported for the pain/discomfort dimension (64.0%) followed by anxiety (28.4%), mobility (17.8%), usual activities (10.6%), and self-care (6.8%). The average EuroQoL 5-Dimension (EQ-5D) index score was 0.86 (95% confidence interval [CI], 0.83 to 0.88). In the multivariate ordinal regression model, a higher education level (coefficient, 0.08; 95% CI, 0.02 to 0.14) was a significant predictor of the EQ-5D-5L utility score. Conclusions: Patients with diabetes had poorer EQ-5D-5L utility values than the general population. DM patients experienced pain/discomfort and anxiety. There was a substantial positive relationship between education level and HRQoL.