• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.15-23
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• 2020

This study aimed to analyze effects of non-regular employment rate and female employment rate on fertility rate in OECD county. We adopted dynamic panel model after classifying OECD county to high and low fertility rate. The results of analysis showed that the higher non regular employment rate, the lower female employment rate, and the lower economy growth rate decrease fertility rate especially in low fertility rate country. While, only the higher house rental decrease in high fertility country. This results indicate that low fertility country including Korea should improve a labor policy such as strengthening employment security and encouraging female employment to increase fertility rate.

• KDI Journal of Economic Policy
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• v.21 no.2
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• pp.3-54
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• 1999

1997년의 경제위기는 근본적으로 많은 차입금에도 불구하고 장기간에 걸쳐 낮은 수익성을 보인 기업들이 불황에 직면하여 도산위험이 급증함으로써 발생한 것으로 판단된다. 그러면, 기업들의 수익성은 왜 이렇게 낮은 것일까? 본 연구는 지배대주주와 소액주주간의 갈등이 기업의 수익성을 저하시킨 한 원인으로 작용했다는 가설을 실증적으로 규명하고자 한다. 우리나라 기업들, 특히 기업집단의 경우 지배대주주의 개인소유지분은 높지 않지만 기업경영에 대한 통제력은 매우 강하다. 기업경영에 대한 감시와 책임경영이 확립되지 않는 경제에서 지배대주주가 기업자산을 개인적 이익에 따라 운영하는 경우 편익은 독점하지만 이에 따른 수익성 하락 등의 비용은 다른 주주와 소유 지분율에 따라 공유하게 되므로 사적이익을 추구할 유인이 크다. 본 연구는 1992년부터 1997년까지의 공기업 및 금융기관을 제외한 외부감사대상기업의 재무자료를 기초로 영업이익률, 경상이익률, 그리고 순이익률이 주주간의 이해상충에 의해 어떻게 영향을 받았는가를 분석하였다. 수익성 분석에 있어 상장여부, 자산운영(관계회사 및 비관계회사에 대한 투자), 재벌소속 여부, 기업규모, 재무구조 그리고 산업적 특성 및 기업의 경영 및 사업 전략적 특성을 제어하였다. 다른 조건이 동일하다고 가정하면 상장된 기업의 수익성은 비상장기업보다 낮다. 상장기업의 경우는 대주주의 소유지분이 낮은 반면에 외부주주의 비중이 높기 때문에 대주주가 개인의 이익을 추구하고자 하는 유인이 강하게 작용한 결과로 판단된다. 또한 재벌에 소독된 기업의 수익성은 독립기업들의 수익성보다 낮을 뿐만 아니라 계열회사의 유가증권 및 대여금 등에 대한 투자가 증가할수록 기업의 경상이익률 및 순이익률이 낮아진다. 반면에 비관계회사에 대한 투자자산은 경상이익률 및 순이익률을 높이는 것으로 나타났다. 재벌에 소속된 상장회사가 관계회사에 투자하는 경우는 투자기업의 수익성이 더욱 낮아지는 것으로 나타났다. 관계회사에 대한 투자는 수익성에 기초한 투자가 아니며 대주주의 지분이 낮은 상장기업에서 소액주주의 이익에 반하여 계열사에 대한 투자형태로 자원이 이전되고 있음을 시사한다. 본 논문의 분석 결과는 외부주주와 내부주주간의 이해상충이 기업의 수익성을 저하시킨다는 가설과 일관된다. 따라서 대주주가 개인적 이익을 추구하고자 하는 유인을 견제하고 소액주주의 권리를 강화하도록 지배구조를 확립해야 할 것이다.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.27-38
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• 2011

The paper aims at examining the behavioral characteristics of the passenger car export of Gunsan, Pyeongtaek, and Ulsan port. This is accomplished by modelling export demand as exchange rate and the Unites States industrial production. All series span the period January 2001 to December 2010. I first show that both the series and the residuals are stationary at the 5 percent significance level. The result cannot reject the null hypothesis of a unit root in each of the level variables and of a unit root for the residuals from the cointegration regression at the 5 percent significance level. I hitherto make use of forecast error decomposition and historical decompositions The forecast error decomposition indicates that car export is endogenous to industrial production and exchange rate. The historical decompositions for the export show that the entire difference between actual export and the base forecast can be attributed to industrial production shocks since exchange rate moves closer to the actual data or the base forecast. It indicates that industrial production outperforms exchange rate in explaining the passenger car exports.

• Food Science and Preservation
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• v.10 no.4
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• pp.493-497
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• 2003

In order to prevent a markdown and improve a value added of apricot, this study was conducted to research the optimum condition for manufacture of wine using apricot. On fermentation of aprirot wine, the best yeasts were Saccharomyces cerevisiae JBS 15 and JBS 30, and optimum composition or medium was apricot juice of 50％, sugar of 24 。brix, (NH$_4$)$_2$SO$_4$ of 0.2％, Na$_2$SO$_3$ of 0.02%. The content of alcohol in this medium after fermentation of 10 days at 25$^{\circ}C$ was 12.3∼12.5%. sensory evaluation showed that color, taste and odor or apricot wine were good, and saccharomyces cerevisiae JBS 15 was not difference JBS 30.

• The Journal of the Acoustical Society of Korea
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• v.34 no.4
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• pp.303-309
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• 2015

Speaker diarization is the task of determining the speakers for unlabeled data, and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) has been widely used in the field of speaker diarization for its simplicity and computational efficiency. One challenging issue, however, is that if different clusters in non-spatial dataset are adjacent to each other, over-clustering may occur which subsequently degrades the performance of DBSCAN. In this paper, we identify the drawbacks of DBSCAN and propose a new density clustering algorithm based on local distribution property around object. Variable density criterions for local density and spreadness of object are used for effective data clustering. We compare the proposed algorithm to DBSCAN in terms of clustering accuracy. Experimental results confirm that the proposed algorithm exhibits higher accuracy than DBSCAN without over-clustering and confirm that the new approach based on local density and object spreadness is efficient.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.1-11
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• 2011

In much the same way as the US Lehman crisis of 2008-2009 severely impacted the European economy through financial market dislocation, a European banking crisis would materially impact the US economy through a generalized increase in global risk aversion. A deepening of the European crisis could very well derail the US economic recovery and have a harmful impact on the Asian economies. This kind of vicious circle could be a bad news to the shipping companies. The purpose of the study is to predict the Baltic Dry Index representing the shipping business during the period of 2012 using the ARIMA-type models. This include the ARIMA and Intervention-ARIMA models. This article introduces the four ARIMA models and six Intervention-ARIMA models. The monthly data cover the period January 2000 through October 2011. The out-of-sample forecasting performance is also calculated. Forecasting performance is measured by three summary statistics: root mean squared percent error, mean absolute percent error and mean percent error. The root mean squared percent errors, however, are somewhat higher than normally expected. This reveals that it is very difficult to predict the BDI The ARIMA-type models show that the shipping market will be bearish in 2012. These pessimistic ex-ante forecasts are supported by the Hodrick-Prescott filtering technique.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.147-159
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• 2014

The present study was aimed to estimate the rational bubble by using the state space model and Kalman filter, of the national, capital, non-capital, Gangnam, and Gangbuk regions housing sales price from November 2003 to August 2013, for the whole period, and before and after the global financial crisis. For the whole period, Gangnam marked the highest rational bubble of 25.4%, followed by Gangbuk 21.3%, capital region 20.1%, whole country 18.9%, and non-capital region 14.3%. Prior to the global financial crisis, Gangnam showed 26.7% of bubble, which is approximately 7.4% higher than Gangbuk with 19.3%. On the other hand, after the global financial crisis, the bubble has collapsed a lot with Gangnam 13.2% and Gangbuk 10.7%; however, the non-capital region showed rather an increase of about 15% from 4.2% before the crisis to 9.0% after the crisis. The main cause of this is that the trading price has declined but the rents have risen in the capital region including Gangnam and Gangbuk, while the transaction price has gone up in non-capital region due to various positive signs like the moving of public institutions.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.817-838
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• 2014

Test environment on the company that handles a large amount of data such as telecommunications companies and financial institutions, may not always be the same as the production environment, which is caused by conversion of important columns about information and limitation of storage capacity due to the construction cost. Therefore, SQL performance degradation that occurs when the test and production environments are not the same, which is an important cause of connecting to the unexpected failures of online transactions, and it generates financial loss of business, customer complaints, a decrease in reliability. In studies related SQL performance, it has so far been conducted mainly studies of tuning associated with DBMS Optimizer, and it has not been addressed issues of this sector. Therefore, in this paper, I verify the validity about presentation of the advanced SQL Performance-based IT application change management process, in order to prevent failures of the online transactions associated with poor performance of SQL generated by differences in test and production environments.

• Smart Media Journal
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• v.5 no.3
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• pp.17-24
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• 2016

Korean agriculture is currently experiencing difficulties as a cause of rural depopulation, aging of rural population, grain self-sufficiency rate decline, and deepening of climate change. It is necessary to ensure our country's agriculture industrial competitiveness in accordance with opening of FTA imports expanded. To ensure the underdeveloped competitive, Korean government defines the 3rd generation model from 1st generation model to extend the smart farms of Korean types. The agriculture smarting overcomes the growth limitations of agriculture, and efforts to develop 6th + ${\alpha}$ industry. In this paper, We define and verify the IoF(Internet of Farming)-Cloud based substantial services about 2rd generation model, and propose a greenhouse of IoF-Cloud testbed.

• Korea Real Estate Review
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• v.24 no.1
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• pp.63-76
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• 2014

This study utilizes FGLS (Feasible Generalized Least Squares) to determine the impact of Jeju Olle trekking courses on nearby land prices. Official 2010 land price data for 7 areas surrounding different Jeju Olle Trails was examined with a GIS program to determine the exact distance of land parcels from nearby trekking courses. Distance and various other pricing factors were used as explanatory variables for increases in land prices. The dependent variable was the rate of change in land prices from 2002 to 2010. Unlike existing studies which have examined the effect of highways, subways and other transportation facilities on land prices, this paper examines the effect of Korea's first-ever trekking courses on nearby land prices. This study concludes that 7 different Olle Trails exert a significant influence on nearby land prices and that land prices decrease by 0.03% per meter as plots get further and further from Olle Trails. This result shows that not only transport infrastructure (highways, subways, etc.) but also non-traffic infrastructure such as Jeju Olle Trails and trekking courses can have positive effects on local real estate markets.