• Journal of the East Asian Society of Dietary Life
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• v.17 no.4
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• pp.571-579
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• 2007

The aim of this study was to predict the development process of the Korean food service industry by forecasting the per capita GDP. Forecasting the GDP, involved two primary approaches. One was related to looking at the Korean food service industry's situation by per capita GDP and comparing it to that of the US and Japan. The other was to predict food service industry projections in Korea by quantitative forecasting models. Holt's simple exponential smoothing method and new types of the series models(Damped trend exponential smoothing method), were employed to predict the per capita GDP. The accuracy of the models was measured by MAPE. The empirical results of the forecasting models indicate that the three time series models performed fairly well. Of these Damped trend Damped trend exponential smoothing performed best with the lowest MAPE(9.9%). The results show that the time for reaching a per capita GDP level of $20,000 was 2008 with the Damped trend model and 2009 with the Holt model. Moreover, we found that a per capita GDP level of $30,000 will be achieved in 2012 from the Damped trend model and in 2013 from the Holt model. Within this study, the implications for the Korean food service industry are further discussed. It was predicted there will be a stabilization period in 2008 or 2009 in Korea with achievement of a per capita GDP of $20,000. At this time, major food service industry companies will need to invest in equipment toy external growth and there will be industry trends toward ethnic food and theme restaurants. Also, if a per capita GDP of $30,000 is achieved by 2012 or 2013, the Korean food industry will need to be highly responsive. Therefore, food industry companies should forecast and study customer values and prepare for changes.

• Health Policy and Management
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• v.13 no.3
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• pp.91-103
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• 2003

The purpose of this study was to provide basic reference data for stabilization scheme of health expenditure through forecasting of health expenditure. The authors analyzed the health expenditure from 1985 to 2000 that had been calculated by Korean institute for health and social affair using transfer function model as ARIMA model with input series. They used GDP as the input series for more precise forecasting. The model of error term was identified ARIMA(2,2,0) and Portmanteau statics of residuals was not significant. Forecasting health expenditure as percent of GDP at 2010 was 6.8%, under assumption of 5% GDP increase rate. Moreover that was 7.4%, under assumption of 3% GDP increase rate and that was 6.4%, under assumption of 7% GDP increase rate.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.2
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• pp.168-175
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• 2003

A new algorithm based on Genetic Algorithms is proposed f3r solving process optimization problems formulated in MINLP, GDP and hybrid MINLP/GDP. This work is focused especially on the design of the Genetic Algorithm suitable to handle disjunctive programming with the same level of MINLP handling capability. Hybridization with the Simulated Annealing is experimented and many heuristics are adopted. Real and binary coded Genetic Algorithm initiates the global search in the entire search space and at every stage Simulated Annealing makes the candidates to climb up the local hills. Multi-Niche Crowding method is adopted as the multimodal function optimization technique. and the adaptation of probabilistic parameters and dynamic penalty systems are also implemented. New strategies to take the logical variables and constraints into consideration are proposed, as well. Various test problems selected from many fields of process systems engineering are tried and satisfactory results are obtained.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.5
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• pp.159-166
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• 2007

Large scale flood disasters bring human losses and properties, which lead to the decrease of our productive value and change social environment. Human loss and economic damage are considered to be the same system but they are viewed as separated systems. The total amount of human loss can be represented as the total amount of economic damage estimated in the frame of social system while it will be possible to make mutual changing by clearing the relations between social and economic systems. In this regard, an attempt to estimate economic loss considering per capita Gross Domestic Production (GDP) caused by flood-related mortality was carried out to the typhoon Rusa of 2002 in Kangwon-do. The proposed method tried to capture quantitative factors which are affecting the loss of per capita GDP. The approach has great importance not only to set up governmental policy but also methodological progress in the research due to impact of disaster-related mortality on GDP loss.

• Journal of the military operations research society of Korea
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• v.36 no.2
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• pp.143-152
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• 2010

Military Power is the most direct and actual measures for national security. For construction, maintenance, management of military power, the adequate expenditure is required but it is difficult to increase blindly owing to the lack of resources. There are security threats and economic conditions in determining of military expenditure. Republic of Korea has been more influenced by economic conditions than by security threats since 1990s In this paper, we analysed relation between real military expenditure and real GDP through regression analysis.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.65-82
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• 2002

This paper inquires into the causal relationship between R&D investment and GDP (Gross Domestic Product) in Korea. We apply the method of unit-root test, co-integration test, and Hsiao version of the Granger causality test to find the evidence of bi-directional causality between R&D and GDP. However, it is interesting to observe no significant directional effect between government funded R&D and GDP while private sector funded R&D turns out to affect GDP significantly. Utilizing the previous study results on bi-directional relationship between government and private sector funded R&D, we draw the following conclusion: In order to increase GDP, government funded R&D needs to induce private sector to fund more R&D in an effective manner. In this way, government is expected to indirectly participate in the development for better economy in Korea.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.30 no.3
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• pp.39-45
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• 2016

In these days global energy policy is changed from "supply" to "demand". In this regards, there are needs to analysis on effect of policy such as energy efficiency strategy, electricity rates. This study examines the relationship between energy consumption reduced by new energy policy and GDP growth for each industrial sector for Korea from 1970 to 2013. With respect to the direction of causality, energy use of 1th industry like agriculture and mining leads to GDP growth. On the other hand, GDP growth of 2nd industry, manufacturing, leads to energy use. And there is bidirectional causality in 3rd industry, service sector. These findings imply that the government policies aimed at reducing electricity consumptions and increasing energy efficiency should be progressed cautiously depend on status of each industry condition.

• Environmental Engineering Research
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• v.22 no.1
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• pp.116-124
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• 2017

The study makes an attempt to investigate the causal nexus between carbon dioxide emissions, GDP per capita, industrialization and population with an evidence from Rwanda by employing a time series data spanning from 1965 to 2011 using the autoregressive distributed lag model. Evidence from the study shows that carbon dioxide emissions, GDP per capita, industrialization and population are co-integrated and have a long-run equilibrium relationship. Evidence from the Granger-causality shows a unidirectional causality running from industrialization to GDP per capita, population to carbon dioxide emissions, population to GDP per capita and population to industrialization. Evidence from the long-run elasticities has policy implications for Rwanda; a 1% increase in GDP per capita will decrease carbon dioxide emissions by 1.45%, while a 1% increase in industrialization will increase carbon dioxide emissions by 1.64% in the long-run. Increasing economic growth in Rwanda will therefore reduce environmental pollution in the long-run which appears to support the validity of the environmental Kuznets curve hypothesis. However, industrialization leads to more emissions of carbon dioxide, which reduces environment, health and air quality. It is noteworthy that the Rwandan Government promotes sustainable industrialization, which improves the use of clean and environmentally sound raw materials, industrial process and technologies.

• The Microorganisms and Industry
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• v.19 no.4
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• pp.32-35
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• 1993

ras는 활성화 형태인 GTP bound form과 비활성화 형태인 GDP bound form의 두 형태로 존재하며 두 형태를 매개하는 regulatory protein들에 의해 그 activity가 조절된다. 또한 ras는 GTP와 GDP에 강한 친화성이 있으며 세포내에는 GTP보다 GDP가 더 많이 있어서 평소에는 ras가 GDP와 결합하고 있다가 활성화될때만 GTP와 결합하는 것으로 추정된다. GDP bound ras는 guanine nucloetide exchange protein(GEP)에 의해 활성화된 GTP bound form으로 전환되며 ras의 기능이 발휘된 후에는 GTPase activating protein(GAP)에 의해 비활성화된다. Yeast의 경우 IRA1과 2의 product가 GAP의 역할을 하는 것으로 알려져 있고 CDC25 gene의 product가 GEP의 기능을 담당하는 것으로 알려져 있다. NF1 gene은 Von Recklinghausen Neurofibromatosis Type I 질병을 가진 환자에게서 발견되었는데 부분적으로 sequencing한 결과에 따르면 yeast의 IRA1/2, mammalian GAP gene product와 protein homology가 높은 것으로 나타났다. Yeast의 경우 IRA1/2 gene의 손실이나 mammalian ras gene의 transformation으로 인한 heat shock sensitivity가 NF1 gene(2,3) 혹은 GAP(4)의 expression으로 suppression된 것으로 보아 NF1이 GAP protein으로서 ras를 불활성화 시킨다는 것이 판명되었다. 결론적으로 ras의 활성은 GTP bound 혹은 GDP bound의 양쪽형태를 이동하면서 조절되는데 이 기능은 GAP과 GEP 또는 그의 유사 protein들에 의해 수행되며 이러한 regulatory protein들은 growth factor, cytokine 그리고 protein kinase 같은 signal에 의해 활성화된다고 생각된다. 본 총설에서는 ras protein의 여러가지 성질보다는 ras의 modification과 관련하여 항암제로 사용할 수 있는 ras에 specific한 약품개발의 가능성과 현재 알려진 ras의 inhibitor를 중심으로 논하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.19-23
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• 2017

Based on a simultaneous-equation model consisting of aggregate demand and short-run aggregate supply, this paper estimates a reduced-form equation specifying that the equilibrium real GDP is a function of the real effective exchange rate, the government deficit as a percent of GDP, the real interest rate, foreign income, labor productivity, the real oil price, the expected inflation rate, and the interactive and intercept binary variables accounting for a potential change in the slope of the real effective exchange rate and shift in the intercept. Applying the exponential GARCH technique, it finds that aggregate output in Australia has a positive relationship with the real effective exchange rate during 2003.Q3 - 2013.Q2, the government deficit as a percent of GDP, U.S. real GDP, labor productivity and the real oil price and a negative relationship with the real effective exchange rate during 2013.Q3 - 2016.Q1, the real lending rate and the expected inflation rate. These results suggest that real appreciation was expansionary before 2013.Q3 whereas real depreciation was expansionary after 2013.Q2 and that more government deficit as a percent of GDP would be helpful to stimulate the economy. Hence, the impact of real appreciation or real depreciation on real GDP may change overtime.