• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.1-8
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• 2018

This study analyzed annual final sample data from 159 companies based on firms selected as economic justice companies by Economic Justice Institute in Citizens' Coalition for Economic Justice in South Korea according to interest variables from 2005 until 2011. Analyzed results are as follows. First, higher scores in soundness and corporate social activities among CSR items suggested that corporate credit rating upgraded. This indicates that credit rating institutions give a good evaluation on their social activities and reflect them in credit rating assessment. However, environmental protection satisfaction and corporate credit rating showed the opposite results. Second, high objectivity and contribution to the economic development as well as supervision by giant auditors had substantial effects on higher corporate credit rating. In contrast, high soundness and supervision by giant auditors reduced corporate credit rating. Based on this outcome, it is estimated that there is a discriminatory response among CSR activities in terms of credit rating evaluation conducted by credit rating institution.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.2001-2005
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• 2006

우리나라는 매년 집중호우로 인한 산사태로 인해 인적, 물질적 피해를 일으킨다. 반복적인 산사태의 피해를 방지 하기위해서는 산사태 예측 시스템이 필요하다. 본 연구에서는 안성시를 대상으로 GIS와 RS 자료를 활용하여 산사태 위험지를 분석하고자 Logistic 회귀분석 방법과 AHP 기법을 이용하였다. Logistic 회귀분석과 AHP 기법에는 6개의 인자(경사, 경사향, 고도, 토양배수, 토심, 토지이용)를 사용하여, 7등급으로 산사태 위험도를 분류하였다. Logistic 회귀분석 방법과 AHP 기법을 이용한 산사태 위험지도를 표본 자료와 비교하면 산사태가 발생한 표본에서 산사태 위험성이 높은(1-2등급)지역이 Logistic 회귀분석에서는 46.1% AHP 기법은 48.7%로 분류되어 AHP 기법이 분류도가 높다고 분석 되었다. 하지만 Logistic 회귀분석과 AHP 기법은 서로 분석 과정의 차이를 가지고 있기 때문에 Logistic 회귀분석과 AHP기법을 적용한 결과에 동일 가중치를 부여한 후 7개 등급으로 재분류(reclass)하여 산사태 위험지역을 추출 할 수 있는 방법론을 제시하였다. 그 결과 산사태가 발생한 표본에서 1-2등급지역이 58.9%로 분석되어 분류정확도를 높일 수 있었다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.206-209
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• 2006

강우-유출 모델링에 있어 토지피복/이용 상태는 중요한 입력변수로 사용되지만 기존의 다중분광영상을 이용한 분류에는 한계가 있다. 본 연구에서는 위성탑재 초분광영상인 Hyperion 영상의 분광혼합분석을 통해 도시지역의 수문학적 토지피복/이용 분류를 실시하였으며 분류등급의 기준은 널리 사용되고 있는 SCS 토지피복/이용 등급을 이용하였다. 정확도분석을 위해 항공사진을 디지타이징하여 불투수면적의 비율을 비교하였으며 분광혼합분석 결과와 항공사진에서 불투수면적의 비율은 유사하게 나타났다. 그러나 SCS의 분류등급은 미국을 기준으로 개발되었기 때문에 임계치를 이용하여 분류된 등급과 실제 항공사진판독의 결과가 일부 다르게 나타나는 것을 알 수 있었다.

• The Korean Journal of Financial Management
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• v.18 no.2
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• pp.27-55
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• 2001

본 연구는 기업의 부채만기와 결정요인의 관련성에 대한 이론적 논거를 제시하고 우리나라 상장제조기업을 대상으로 대기업과 중소기업으로 구분하여 기업규모별 부채만기 결정요인을 다중회귀분석으로 실증적으로 규명하고자 하였다. 실증적 분석 대상기간은 1995년부터 2000년까지 6개년으로 분석기간 동안 신용평가 전문기관으로부터 회사채 신용등급을 평가받은 제조기업 204개 기업을 표본으로 선정하여 분석하였다. 연구결과를 종합하면 우리나라 상장제조기업으로 대기업과 중소기업 모두 기업규모가 크고 레버리지가 높고 자산의 만기가 긴 고정자산을 많이 보유하고 있는 기업일수록 부채만기구조에서 장기부채를 많이 이용하고 있는 것으로 입증되었다. 성장옵션과 법인세율은 부채만기결정에 영향을 미치지 못하는 것으로 나타났으며 기업의 우량성과 유동성위험을 나타내는 수익증가율과 채권등급은 대기업의 주요 부채만기 결정요인으로 나타났다. 수익증가율이 크고 채권신용등급이 높은 우량대기업일수록 단기부채를 많이 이용하는 것으로 확인되었으며 중소기업은 기업의 우량성과 신용등급이 부채만기에 유의적인 영향을 미치지 않았다.

• Journal of the Korean Geotechnical Society
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• v.38 no.9
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• pp.69-77
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• 2022

Several studies have been conducted to analyze the risk of ground subsidence occurring in urban areas. Recently, the correlation between the density of underground utilities (i.e., the quantity of buried utilities in the analysis area) and the recorded ground subsidence has been explored to analyze such risk through. Choi et al. (2021) proposed an algorithm to optimize the correlation between the ground subsidence and normalized linear density of underground pipelines. In this study, the optimization algorithm was modified for analysis based on the risk grade. The analysis results using the modified optimization algorithm were compared with the correlation analysis results between the density of underground utilities and recorded ground subsidence presented by Choi et al. (2021). Compared with Choi et al. (2021), three analysis results showed equal or higher accuracy in the correlation analysis with recorded ground subsidence according to risk grade. In particular, for R100, it was divided into five grades and compared with the ratio of the recorded ground subsidence that occurred in grades 4 or higher. As a result, Choi et al. (2021) showed that 86% of recorded ground subsidence occurred in grades 4 or higher, whereas this study showed 93%. It was confirmed that the accuracy of the modified optimization algorithm was improved. The modified optimization algorithm can be applied to develop a ground subsidence risk map for each grade in an urban area, which can be used as basic data for decision-making for underground utility maintenance.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.1-22
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• 2023

Existing studies on mixed ratings that combine ESG ratings and credit ratings have been rare. Through meta-frontier analysis, this study examines the relationship between the prime and non-prime groups in ESG ratings, credit ratings, and mixed ratings that consider ESG ratings and credit ratings at the same time. Efficiency was compared. Meta-frontier analysis was used to compare the efficiency of 143 listed manufacturing companies in Korea between the prime and non-prime groups based on the ESG ratings assigned to them by KCGS and the credit ratings assigned by Korea's three major credit rating agencies. As a result of this study, first, the meta-efficiency of the prime mixed-grade group was statistically more efficient than the non-prime mixed-grade group under the variable return scale (VRS) assumption. Second, the prime ESG rating group had a relatively higher proportion of scale inefficiency than the non-prime ESG rating group. Third, in terms of economies of scale, the prime credit rating group had a higher proportion of diminishing returns to scale (DRS) than the non-prime credit rating group. This study will help companies interested in sustainability management to do ESG management.

• Journal of Animal Science and Technology
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• v.55 no.3
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• pp.211-217
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• 2013

The objective of this study was to investigate the physical and chemical composition, fatty acid profile and sensory property of horse meat according to meat quality grade (1 and 2) and cuts (loin, chuck roll and top round). The lipid content of loin was significantly higher (p<0.05) in grade 1 (4.65%) compared with grade 2 (2.31%), whereas moisture content was lower (p<0.05) in grade 1 than in grade 2. The pH value was significantly lower (p<0.05) in loin than in other cuts regardless of meat quality grade. Shear force value of loin was significantly different (p<0.05) between grades 1 (5.87 $kg/cm^2$) and 2 (10.86 $kg/cm^2$). Water-holding capacity values of loin, chuck roll and top round were not different (p>0.05) between grades 1 and 2. Meat color values ($L^*$, $a^*$ and $b^*$) of loin, chuck roll and top round were not different (p>0.05) between grades 1 and 2. Palmitoleic acid of loin in grade 1 (11.39%) was higher (p<0.05) than that in grade 2 (5.36%). Stearic acid of loin in grade 1(3.58%) was lower (p<0.05) than that in grade 2 (7.02%). Overall palatability of loin, chuck roll and top round did not differ (p>0.05) between grades 1 and 2. Therefore, meat quality grade had mainly affected lipid and moisture contents, shear force, palmitoleic acid and stearic acid of horse loin; and horse loin of grade 2 had lower pH and higher $L^*$, $a^*$ and $b^*$ than the other cuts.

• Tunnel and Underground Space
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• v.13 no.2
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• pp.108-116
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• 2003

Measured convergence data of a tunnel were investigated by means of statistical and regression analysis, where the rock mass were mainly composed of andesite and granite. The rock mass around tunnel were classified by RMR method into five different ratings, and then convergence data which belong to individual ratings were statistically processed to find out the appropriate regression equations. Exponential equations were better coincided with measured data than logarithmic equations. As the number of rock mass rating was increased, the magnitude and standard deviation of convergence were increased. Final convergence data were also investigated to study the relevance with both maximum displacement rate and early measured convergence. Some brief results of their relevance are presented. For instance, the regression coefficient between final convergence and maximum displacement rate was turned out to be 0.87 for this studied tunnel.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.426-426
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• 2023

대설은 일반적으로 해양과 대륙의 온도차가 큰 지역, 바다·호수와 같이 상대적으로 따뜻한 곳이 인접해 있어 기단 변질이 잘 일어나는 지역, 산악에 의해 습윤한 공기가 강제 상승되는 지역에서 자주 발생한다. 우리나라는 찬 대륙고기압 공기가 해수 온도 차로 눈 구름대가 만들어지거나, 고기압 가장자리에서 한기를 동반한 상층 기압골이 우리나라 상공을 통과하면서 대설이 발생한다. 최근 우리나라에서 빈번하게 발생하는 대설피해는 직접피해와 간접피해로 나뉘며, 이에 따라 사회·경제적으로 막대한 피해를 야기한다. 우리나라 대설피해양상은 지역적 특성, 방재 대책, 대처능력 등에 따라 달라지는 것이 특징이며, 지역적으로 다르게 발생하는 대설피해를 효과적으로 대비할 수 있는 연구가 필요하다. 따라서 본 연구에서는 지역적 특성을 고려한 차등화된 대설 피해를 예측하는 연구를 진행하고자 하였다. 본 연구에서는 기상요소 및 사회·경제적 요소 등을 입력자료로 활용하고, DPSIR 분석을 통해 Red Zone, Orange Zone, Yellow Zone, Green Zone으로 위험 등급을 분류 및 등급 별 대설피해 예측기법을 개발하였다. 최종적으로 1994년부터 2020년까지의 과거 대설 피해액 자료와 다중회귀분석을 이용하여 기법을 개발하였고, 기법의 예측력 평가를 위해 RMSE와 RMSE를 표준화한 NRMSE의 두 가지 통계 지표를 사용하여 평가하였다. 모형별 예측력 평가 결과 Yellow 등급 모형이 가장 우수한 예측력을 보였다. 추후 본 연구결과를 통해 대설피해 범위를 예측하는 연구가 진행된다면 사전에 대설피해에 대한 대응방안 수립과 지역별제설 우선순위를 결정할 수 있는 지표가 개발될 것으로 기대된다.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.1-15
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• 2017

In 2014, the Financial Services Commission designated the Tech Credit Bureaus(TCB) to issue technical credit evaluation reports. The Five credit rating agencies, KEB Hana Bank and others have issued the technical credit reports since the summer in 2014. Meanwhile, the technology evaluation model of KEB Hana Bank consists of 25 detailed evaluation items. These item classes are weighted and the technology rating is systematically. The technology rating is combined with the credit rating to calculate the technology-credit rating. In this paper, we analyzed the 406 evaluation results issued by KEB Hana Bank. Based on the number of years of work experience, company managerial years, technical personnel score, the possession of R&D department, the amount of R&D investment, the number of certifications, and the number of patents, the Correlation between the above items and the technical grade was analyzed. It was found that quantitative indicators such as the presence of R&D department, patent numbers, and R&D investment expenses had a significant effect on the company's technology grade, and in particular, the presence of R&D department was shown a high correlation with the technology rating.