• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1073-1081
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• 2021

When firms have higher environmental performance, they can provide sustainable business that allows firms to build the value of credibility and ethics, higher reputation, higher productivity, and lower costs. The advantages of environmental responsibilities help firms to maintain their earnings level over a long-term period. This research aims to examine the effect of environmental performance on earnings persistence. Research samples include 413 manufacturing firms-years listed in the Indonesian Stock Exchange and the PROPER evaluation in 2013-2019. Environmental performance is measured by PROPER evaluation rating. The result shows that environmental performance has a positive effect on earnings persistence. The advantage of environmental responsibilities allows firms to enjoy performance sustainability and persistence in a long-term period, not only periodically. Also, the positive effect of environmental performance on earnings persistence occurs more in the environmentally sensitive industry than non-sensitive ones. Since an environmentally-sensitive industry brings more environmental damage, higher environmental performance is more valuable to provide sustainability. This research has limitations to use all the Indonesian Stock Exchange-listed firms since not all firms participate in the PROPER evaluation. This research implies firms' management should maintain earnings persistence and sustainability by implementing higher-quality environmental responsibility, especially for firms in an environmentally-sensitive industry.

• 지능정보연구
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• 제29권2호
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• pp.1-22
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• 2023

ESG 등급과 신용등급을 혼합한 기존 연구가 희소하였는데, 본 연구는 메타프론티어 분석을 통해 ESG 등급, 신용등급 그리고 ESG 등급과 신용등급을 동시에 고려한 혼합등급에 있어 우량 그룹과 비우량 그룹 간의 효율성을 비교하였다. 메타프론티어 분석을 이용하여 한국내 상장 제조업체 143개 회사에 대해 KCGS가 그 회사들에게 부여한 ESG 등급과 한국의 3대 신용평가회사가 부여한 신용등급을 기준으로 우량 그룹과 비우량 그룹 간의 효율성을 비교하였다. 본 연구의 결과로서, 첫째, 우량 혼합등급 그룹의 메타효율성은 가변수익규모(VRS) 가정 하에서 비우량 혼합등급 그룹에 비해 통계적으로 효율적이었다. 둘째, 우량 ESG 등급 그룹은 비우량 ESG 등급 그룹에 비해 상대적으로 규모비효율 비중이 더 높았다. 셋째, 규모의 경제 측면에서 우량 신용등급 그룹은 비우량 신용등급 그룹에 비해 규모수익체감(DRS) 비중이 더 높았다. 이 연구는 지속가능경영에 관심을 가지고 있는 기업들이 ESG 경영을 하는 데 도움을 줄 것이다.

• 아태비즈니스연구
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• 제15권1호
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• pp.33-44
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• 2024

Purpose - The purpose of this study is to empirically investigate the degree of performance inconsistency among the Environmental, Social and Governance ratings. Design/methodology/approach - This study performs regression analysis using the widely used ESG ratings published by the Korea Institute of Corporate Governance and Sustainability. Findings - The results show that firms often do not show consistent performance across the Environmental, Social and Governance aspects, with excellent performance on one aspect but mediocre or poor performance on another. The paper also finds some degree of firm-level persistence in such performance inconsistency, suggesting that the traits of the firm and the industry the firm belongs to might influence whether a firm shows inconsistent performance across the three aspects. Research implications or Originality - This paper highlights the need for researchers and practitioners to understand the underlying behavior of the individual E, S and G ratings, instead of taking them as given, in order to properly design their analyses.

• 지능정보연구
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• 제29권2호
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• pp.85-100
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• 2023

최근 기업의 지속가능경영 역량으로 대변되는 기업 ESG 성과(environmental, social, and corporate governance)가 투자의사 결정에 주요 요인 중 하나로 부각되고 있다. 전통적 ESG 성과 평가 프로세스는 평가기관마다의 고유 기준에 따라 질적 정성적 방식으로 수행되어 그 평가 소요 시간 및 비용이 큰 데 비해 투자의사 결정 시 신뢰성과 예측 가능성 및 적시성에 제약이 존재한다. 이에 본 연구에서는 정량화되고 공개된 기업 재무 정보를 활용하여 머신러닝을 통한 자동화된 기업 ESG 평가 예측을 시도하였다. 심층신경망 기법을 활용해 2019년부터 2021년까지 3년간 한국ESG기준원에서 제공한 1,780건의 ESG 평가에 대하여 총 12종(21,360건)의 시장 공개 재무 정보를 기반으로 예측 모형을 구축한 결과, 제안된 심층신경망 모형은 약 86%의 분류성능을 보여 여타 비교모형 대비 크게 높은 정확도를 나타냈다. 본 연구는 정량적이고 공개된 과거 기업 재무 정보만으로도 자동화된 프로세스를 통해 비교적 정확한 미래 ESG 평가 예측을 달성할 수 있었다는 점에 의의가 크다. 특히 기업 ESG 관련 정보 접근이 상대적으로 불리한 일반 투자자들의 입장에서 볼 때 낮은 비용과 적은 시간 투자로도 기업 ESG 성과 평가에 대한 예측 가능성과 적시성을 향상 시킬 수 있다는 점에 실용적 함의가 있다. 또한 본 연구는 향후 추가적인 국내외 데이터 수집 및 모형 고도화를 통해 기업 ESG 성과 예측 분야에서의 확장이 기대된다.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년도 추계학술발표대회 논문집
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• pp.217-222
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• 2009

This study is lately stand on the basis of the importance for global warming and environment and accept changes of the paradigm of the 21st century. also it is to start architecturial access that suggest to solutions about environment, energy and health problems in high-rise residential architecture that lately the importance for global warming and environment. Spacially since 1990, high-rise residential architecture has developed into increase rapidly, and nowdays, this has become one of the new residence type. but this have diverse problems. For this reason, this building faced neccessary to improve living space and obtain to eco-friendiness and sustainability. Therefore, this study is focused to environment-friendly architectural certification in Korea and other countries, aims to suggest planning and technical elements from this system. Through 11 cases of high-rise residential architecture certified sustainable certification system, this study drew out tendency and charateristics of main strategy elements. These analysis will express informations of current level and also suggest to direction for improvement in quality of high-rise residence.

• Architectural research
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• 제20권4호
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• pp.121-128
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• 2018

Given the barriers to implement green building rating systems, Building Information Modeling (BIM) was suggested as an effective solution integrating information into one model and saving substantial time to facilitate certification process. Synergies between BIM and Leadership in Energy and Environment Design (LEED), the most widely used rating system, have been researched for a few decades. This paper demonstrates literature review about the development of integration between BIM and LEED. The research focuses on synergies between BIM and Green Standard for Energy & Environmental Design (G-SEED) in Korea, as one of important strategies to mitigate greenhouse gas emission. The research compares LEED and G-SEED related items based on evaluation contents. The result manifests G-SEED and LEED share many common items in different degrees. Therefore, it is entirely possible for G-SEED and BIM to adapt same developing mode of LEED and BIM. Moreover, the study measures the potential of BIM in application process of G-SEED certification by investigation of credits in LEED and G-SEED can be earned by BIM. The results of paper indicate the documentation support LEED and G-SEED may be prepared directly, semi-directly and indirectly via sustainability analyses software in BIM.

• 시스템엔지니어링학술지
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• 제19권2호
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• pp.1-17
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• 2023

This study aimed to examine the characteristics of ESG activities among major domestic companies in the carbon-emitting industry compared to industries with lower emissions, as ESG has emerged as a significant agenda across various industries. Departing from the traditional focus on the "why" of ESG, which primarily centers around financial performance, this research sought to uncover the "how" of effective ESG management in domestic companies. The analysis involved studying the sustainability reports of 124 companies using the Global Reporting Initiative (GRI) indicators and comparing high-emitting and non-high-emitting industries. The findings revealed industry-specific patterns in companies' ESG activities, providing valuable insights for future ESG evaluations and assessments. Furthermore, the advancement of rating analysis methods holds implications for ESG rating agencies and financial authorities in terms of policy-making.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.1090-1100
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• 2024

While the incorporating ESG indicator is recognized as crucial for sustainability and increased firm value, inconsistent disclosure of ESG data and vague assessment standards have been key challenges. To address these issues, this study proposes an ambiguous text-based automated ESG rating strategy. Earnings Call Transcript data were classified as E, S, or G using the Refinitiv-Sustainable Leadership Monitor's over 450 metrics. The study employed advanced natural language processing techniques such as BERT, RoBERTa, ALBERT, FinBERT, and ELECTRA models to precisely classify ESG documents. In addition, the authors computed the average predicted probabilities for each label, providing a means to identify the relative significance of different ESG factors. The results of experiments demonstrated the capability of the proposed methodology in enhancing ESG assessment criteria established by various rating agencies and highlighted that companies primarily focus on governance factors. In other words, companies were making efforts to strengthen their governance framework. In conclusion, this framework enables sustainable and responsible business by providing insight into the ESG information contained in Earnings Call Transcript data.

• Journal of Construction Engineering and Project Management
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• 제1권2호
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• pp.1-10
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• 2011

Bridges are critical and valuable components in any road and rail transportation network. Therefore bridge remediation has always been a top priority for asset managers and engineers, but identifying the nature of true defect deterioration and associated remediation treatments remains a complex task. Nowadays Decision Support Systems (DSS) are widely used to assist decision makers across an extensive spectrum of unstructured decision environments. The main objective of this research is to develop a requirements-driven methodology for bridge monitoring and maintenance which has the ability to assess the bridge condition and find the best remediation treatments using Simple Multi Attribute Rating Technique (SMART); with the aim of maintaining a bridge within acceptable limits of safety, serviceability and sustainability.

• 한국IT서비스학회지
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• 제22권4호
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• pp.171-184
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• 2023

FinTech, which has brought innovation to the financial industry thanks to the advancements in ICT since 2010, has contributed to the growth of the financial ecosystem and increased consumer benefits. Furthermore, there has been a growing demand for social responsibility and sustainability in financial institutions, which have a significant impact on governments, businesses, and people's lives. Despite this, many FinTech companies and traditional financial institutions are still in the early stages of establishing ESG (Environmental, Social, and Governance) management philosophy or lack long-term plans. In this study, we aim to examine the impact of ESG management on the FinTech industry, focusing on representative domestic cases, and derive policy and institutional measures to spread it in the financial industry. Specifically, we will adopt MSCI rating indicators, which are internationally accepted by various industries such as manufacturing, healthcare, and transportation, to evaluate the 35 ESG management subcategories of FinTech companies. As a result, a total of 22 compliance items were disclosed in the ESG report, and it was possible to confirm the detailed management. Through this, we intend to propose effective management strategies for the organizational structure, operations, programs, and performance evaluation of FinTech companies, which are positioning themselves as sustainable growth drivers in the domestic industry.