• 기술혁신학회지
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• 제14권2호
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• pp.373-404
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• 2011

본 연구의 목적은 혁신활동이 기업의 경영성과에 미치는 영향을 밝히는 데 있다. 이러한 연구는 1960년대 이후 활발하게 진행되어 왔는데, 이론과 달리, 실증분석에서는 혼재된 결과가 나타났다. 실증분석 결과가 이론과 다론 이유는 많이 있지만, 사용되는 통계와 분석 방법의 차이에 기인하는 바가 크다. 본 연구는 이러한 문제의식의 연장선상에서 통계문제를 최소화하기 위해 노력하였다. 특히, 이용 가능한 통계를 최대한 활용하기 위해, 특허청에서 제공되는 특허 출원건수의 전수통계(1990~2008)를, 연구개발은 한국신용평가기관에서 제공되는 연구개발비용 통계(1990~2008)를 사용하였다. 본 연구의 가장 큰 의의는 바로 방대한 통계작업이라 할 수 있다. 적절한 지표 산정을 위해, 주성분 분석을 활용하여 혁신성 지수를 산출하였고, 기업 패널분석과 고성장 기업의 분석에 적절한 분위수 추정을 함께 사용하여 다양한 유형의 기업들에게 미치는 효과를 측정하였다. 분석결과를 보면, 패널 분석에서는 혁신활동이 기업의 경영성과에 미치는 영향이 유의적이지 않지만, 분위수 추정에서는 이와 다른 결론을 도출하였다. 특히, 하위 10%에 해당하는 저성장기업에게는 혁신이 유의하지 않지만, 상위 10%의 고성장 기업에게는 혁신활동이 매우 중요한 영향을 끼치는 것으로 나타난다. 혁신활동이 대기업보다 중소기업에 보다 큰 영향을 미치는 것으로 나타난 점 역시 커다란 시사점이라 할 수 있다.

• 무역학회지
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• 제46권2호
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• pp.19-38
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• 2021

This study aims to analyze the foreign asset leverage effect on Korean oil & gas companies' foreign profits and to maintain the appropriate foreign asset volume for reducing exchange risk. For a long time, large Korean companies, including oil companies, overheld foreign currency liabilities. For this reason, most large companies have been burdened to hedge exchange risk and this excess limit holding deteriorated total profit and reduced foreign currency asset management efficiency. Our paper proceeds in presenting a three-stage analysis considering diversified exchange risk factors through estimation on transformation of foreign transactions a/c including annual trends of foreign asset and industry specifics. We also supplement incomplete the estimation method through a practical hedging case investigation. Our research parts are differentiated on the analyzing four periods considering period-specifics The FER value of the oil firms ranged from -0.3 to +2.3 over the entire period. The results of the FER Value are volatile and irregular; those results do not represent the industry standard comparative index. The Korean oil firms are over the credit limit without accurate prediction and finance high interest rate funds from foreign-owned banks on the basis on a biased relationship. Since the IMF crisis, liabilities of global firms have decreased. Above all, oil firms need to finance a minimum limit without opportunity losses on the demand forecast and prepare for uncertainty in the market. To reduce exchange risk from the over-the-limit position, we must consider factors that affect the corporate exchange risk on the entire business process, including the contract phase.

• 디지털융복합연구
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• 제18권1호
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• pp.121-127
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• 2020

본 연구는 벤처기업들이 내부통제운영시스템을 안정적으로 운영하는 경우 회계정보에 긍정 혹은 부정적인 영향과 같은 상호 밀접한 관련성이 있는지를 검증하기 위해 GEM상장기업을 대상으로 분석하였다. 홍콩의 GEM상장기업은 한국의 KOSDAQ시장과 유사한 상장기업으로 한국의 기업들도 상장을 진행하고 있는 증권 시장이다. 본 연구를 수행하기 위해 내부통제시스템의 운영을 평가할 수 있는 내부통제 지수와 회계정보의 질을 평가할 수 있는 재량적 발생액을 통해 회귀분석을 진행하였다. 이익의 조정은 재량적 발생액을 통해 이루어지기 때문에 기업이 인위적으로 미래의 이익을 실현하기 위해 경영자가 의도적으로 변형했는지를 확인하기 위해 수정된 존스(Jones)모형을 이용하였다. 실증 분석에서는 내부통제지수와 회계정보의 질을 평가할 수 있는 재량적 발생액과의 관계정도를 분석 하였으며 상호관련성은 매우 밀접한 것으로 나타났다. 본 연구는 향후 벤처기업의 이익조정 형태와 기업 가치를 평가하는데 유용한 지침을 제공할 수 있으며, 신흥 벤처기업들의 재무적 환경을 이해하는데 도움이 될 것으로 기대된다.

• 한국주조공학회지
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• 제41권1호
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• pp.26-38
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• 2021

주조산업을 포함한 6대 뿌리산업의 지난 10년간 현황을 통계 조사를 통해 파악하고 6대 산업별로 분석하였다. 한국 표준 산업분류에 의해 정의된 뿌리산업의 각종 통계를 획득하였고, 3만개 이상의 대상 사업군에 대한 모집단을 기준으로 5천개 사의 표본조사를 거쳐 뿌리산업의 현황을 파악하였다. 이러한 과정을 통하여 뿌리기업 수, 지역별 분포, 종사자 수, 연령대별 특징, 매출액, 수익률 등 다양한 지표를 제시하였다.한국, 독일, 일본 등 3개국의 뿌리산업 경쟁력을 비교하기 위해 뿌리산업 경쟁력 지수를 고안하고, 10여년간 각국의 경쟁력을 평가하였다. 이러한 경쟁력 지수는 향후 뿌리산업 발전을 위한 다양한 활동에 효과적이고 의미 있는 지수로 활용될 수 있다. 본 연구 과정을 통해 획득한 데이터를 가지고 뿌리산업 업종별 현황, 지역별 분포 현황, 종사자 현황, 매출액 및 수익률 현황을 정리하였고, 각 부문에 대한 전략 도출과 정책적 지원, 업계의 자발적 대응 등을 위한 제언을 제시하였다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.42-42
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• 2017

Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

• 농촌계획
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• 제13권1호
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• pp.41-50
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• 2007

Recently, it is demanded to study about landscape. Landscape is an environment factor for improving life, a social resource for establishing image and identity of the area and also a tourist resource for earning profit. With this importance, landscape planning is being performed by local governments. However, classification for a rule about landscape planning is not prepared yet. For this purpose, classification of landscape is definitely required. Therefore, this article focuses on presenting method of classification Natural and Rural Landscape. We used Arcview 3.2 to draw watershed of the site, and calculated the percent of landform. We also took a picture which explain the landscape and made a survey of classifying the landscape. Due to this study, we were able to frame an algorithm of the landscape classification. This will contribute to classify the landscape type. This study needs more specific researches because it was supposed to target the entire Gyeonggi-Do however it only covered several regions. Through this results, it would be expected to develop the map of landscape character.

• Journal of Korea Trade
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• 제26권7호
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• pp.127-144
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• 2022

Purpose - This study aimed to analyze the dynamic effects of progress in globalization on firm performance by employing individual companies' financial statement datasets. Design/methodology - The analysis leveraged the variables of operating revenue (OPRE) and pre-tax profit and loss (PLBT) as measurement variables for firm performance over 2011-2019. As a proxy variable for globalization, the trade index, a subordinate indicator of the KOF Globalization Index, was used. Through panel regression analysis, the relationship among those variables was ascertained, and the local projection (LP) method was subsequently utilized to identify dynamic effects. A subsample analysis was further performed by classifying companies based on their sizes and industries to determine the differential effects of globalization on each group. Findings - The panel regression analysis derived positive effects of an increasing degree of globalization on OPRE of Korea maritime and fishery firms. However, the impulse response functions, obtained from the LP, showed that in the short run, globalization affects PLBT negatively but in the long run, it gradually converted into a positive effect. In addition, according to the subsample analysis based on company size, the effects of globalization on OPRE became greater as each company became larger. Moreover, the industry-based analysis showed heterogeneous effects, depending on the industries in which the maritime and fishery companies operated. Originality/value - The analysis of the dynamic effects of globalization on firm performance, which revealed that the effects vary depending on the time points, is the important contribution of this study. The results also suggest that the effects of globalization vary depending on the company size and industry.

• 패션비즈니스
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• 제14권4호
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• pp.10-22
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• 2010

To survive competitive global market, textile and fashion business incorporated Supply Chain Management strategy to make product and information flows fast and correct. Especially textile and fashion industry involves many complicated channels from up stream, middle stream, to down stream for delivering their production. Evaluating SCM performance is very critical to make better business profit model. Representative Scor model and BSC method are well fitted into textile and fashion business because of distributional complexity, non-financial factors to be considered, and innovative product characteristics. But there was little study to compare these two methods for textile and fashion business. Therefore, the purpose of this study was to investigate the Scor model and BSC method based upon review of literatures. The results of this study were as follows: Scor model had some strengths which were availability to apply for various industries due to standardized process, operation process emphasized, various customizable factors to compose for the company, and premise on SCM strategic execution. BSC method had some strengths which were the balance including financial and non-financial factors, qualitative analysis, and considering the goal and vision to convey organically from top to bottom of organization. The main differences between them were different scope to deal with performance estimating index from qualitative to quantitative analysis, the scope of human resources to manage, and possibility of performance comparison among companies.

• 유통과학연구
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• 제13권5호
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• pp.53-60
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• 2015

Purpose - The purpose of this paper is to shed light on the importance of the slope and curvature of the volatility curve implied in option prices in the KOSPI 200 options index. A number of studies examine the implied volatility curve, however, these usually focus on cross-sectional characteristics such as the volatility smile. Contrary to previous studies, we focus on time-series characteristics; we investigate correlation dynamics among slope, curvature, and level of the implied volatility curve to capture market information embodied therein. Our study may provide useful implications for investors to utilize current market expectations in managing portfolios dynamically and efficiently. Research design, data, and methodology - For our empirical purpose, we gathered daily KOSPI200 index option prices executed at 2:50 pm in the Korean Exchange distribution market during the period of January 2, 2004 and January 31, 2012. In order to measure slope and curvature of the volatility curve, we use approximated delta distance; the slope is defined as the difference of implied volatilities between 15 delta call options and 15 delta put options; the curvature is defined as the difference between out-of-the-money (OTM) options and at-the-money (ATM) options. We use generalized method of moments (GMM) and the seemingly unrelated regression (SUR) method to verify correlations among level, slope, and curvature of the implied volatility curve with statistical support. Results - We find that slope as well as curvature is positively correlated with volatility level, implying that put option prices increase in a downward market. Further, we find that curvature and slope are positively correlated; however, the relation is weakened at deep moneyness. The results lead us to examine whether slope decreases monotonically as the delta increases, and it is verified with statistical significance that the deeper the moneyness, the lower the slope. It enables us to infer that when volatility surges above a certain level due to any tail risk, investors would rather take long positions in OTM call options, expecting market recovery in the near future. Conclusions - Our results are the evidence of the investor's increasing hedging demand for put options when downside market risks are expected. Adding to this, the slope and curvature of the volatility curve may provide important information regarding the timing of market recovery from a nosedive. For financial product distributors, using the dynamic relation among the three key indicators of the implied volatility curve might be helpful in enhancing profit and gaining trust and loyalty. However, it should be noted that our implications are limited since we do not provide rigorous evidence for the predictability power of volatility curves. Meaning, we need to verify whether the slope and curvature of the volatility curve have statistical significance in predicting the market trough. As one of the verifications, for instance, the performance of trading strategy based on information of slope and curvature could be tested. We reserve this for the future research.

• 한국건설관리학회논문집
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• 제20권3호
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• pp.3-11
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• 2019

시설공사는 도로, 철도 등 기간시설과 주거, 사무 공간 등의 다양한 인프라를 구축하는 행위로써 주문제작방식으로 시행되는 산업의 특성 상 대부분 장기간이 소요된다. 장기간에 걸쳐 공사가 진행되는 동안 공사를 구성하는 원재료 가격이 등락이 발생한다. 따라서 공사비 등락 또한 필연적으로 발생하게 된다. 공사비의 등락은 곧 시공사의 이익 및 정부의 예산지출의 효율성에 민감하게 맞물린다. 따라서 요구되는 공사품질 확보와 효율적인 예산지출 위해서는 합리적으로 공사비를 조정하여 적정한 수준의 시공비가 유지되도록 해야 한다. 이러한 문제의 해결을 위한 완충제도가 물가변동으로 인한 계약금액 조정제도(Escalation/De-Escalation)이다. 본 연구에서는 효율적인 계약금액 조정방법의 제안을 위하여 품목조정방식을 기반으로 지수조정방법을 접목한 방법을 제안하였다. 또한, 물가변동 조정과 관련된 국가계약법령 및 계약예규에 반영되지 못한 사항들을 조사하여 법적으로 성문화하도록 제안하였다.