• Title/Summary/Keyword: 한국ESG기준원

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A Study on ESG Activities of Shipping Companies (해운기업의 ESG 활동에 관한 연구)

  • Soon-Wook Hong
    • Journal of Navigation and Port Research
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    • v.48 no.1
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    • pp.55-61
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    • 2024
  • Environmental, Social, and Governance (ESG) management may be one of the recent hot topics in corporate management. The purpose of this paper was to study the level of ESG activities of shipping companies. The shipping industry is known to have low transparency and low favorability (Yun, 2022). This study determined whether ESG activities of shipping companies known to the public or studied qualitatively were consistent with objective facts through quantitative analysis. Analysis was conducted on 8,009 firm-year KOSP I listed companies from 2010 to 2022 using ESG ratings evaluated and published by KCGS. As a result of the analysis, it was found that shipping companies had a lower level of ESG activities than non-shipping companies. Although many research studies have been done on companies' ESG activities, research on corporate social responsibility activities and ESG activities of domestic shipping companies is limited. This paper is significant in that it is the first study to quantitatively analyze ESG management status of domestic shipping companies. Shipping companies should make efforts to improve their images, improve their business performances, and increase corporate sustainability by taking the lead in proactive ESG activities rather than performing passive ESG activities due to external regulations such as IMO 2020 and IMO 2050.

Predicting Future ESG Performance using Past Corporate Financial Information: Application of Deep Neural Networks (심층신경망을 활용한 데이터 기반 ESG 성과 예측에 관한 연구: 기업 재무 정보를 중심으로)

  • Min-Seung Kim;Seung-Hwan Moon;Sungwon Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.85-100
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    • 2023
  • Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

Development of Product Recommendation System Using MultiSAGE Model and ESG Indicators (MultiSAGE 모델과 ESG 지표를 적용한 상품 추천 시스템 개발)

  • Hyeon-woo Kim;Yong-jun Kim;Gil-sang Yoo
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.69-78
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    • 2024
  • Recently, consumers have shown an increasing tendency to seek information related to environmental, social, and governance (ESG) aspects in order to choose products with higher social value and environmental friendliness. In this paper, we proposes a product recommendation system applying ESG indicators tailored to the recent consumer trend of value-based consumption, utilizing a model called MultiSAGE that combines GraphSAGE and GAT. To achieve this, ESG rating data for 1,033 companies in 2022 collected from the Korea ESG Standard Institute and actual product data from N companies were transformed into a Heterogeneous Graph format through a data processing pipeline. The MultiSAGE model was then applied in machine learning to implement a recommendation system that, given a specific product, suggests eco-friendly alternatives. The implementation results indicate that consumers can easily compare and purchase products with ESG indicators applied, and it is anticipated that this system will be utilized in recommending products with social value and environmental friendliness.

Review of change and response strategies for ESG management (ESG 경영을 위한 변화 및 대응 전략 검토)

  • Choe Yoowha
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.75-79
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    • 2023
  • ESG management means to thoroughly consider the investor's perspective when evaluating corporate value, and environmental, social, and governance issues are continuous and strategic monitoring issues in identifying risk and opportunity factors related to corporate management activities. In other words, the perspective of value creation is reflected in business relationships. The fundamental purpose of ESG management is continuous business value creation and thorough management of investment risks and business transactions in contractual relationships. It is also a requirement of linked investors. The field that Korean companies are currently experiencing the most is the recognition that 'ESG information collection is necessary and maintenance must be prioritized' in investor IR and global sales and marketing departments, and the primary need for this is emerging. In addition, as the legal affairs office, environmental safety department, and human resources department, which conduct compliance management, carry out related tasks, clarity at the organizational level must precede in order to properly establish an information integration and management system. It covers the scope of securing new market opportunities such as management, disclosure and communication. Therefore, in regard to the newly emerging ESG management and response methods, it is necessary to review and implement it repeatedly so that sustainable exchange profits can be created by simultaneously managing non-financial risks as well as efforts to enhance corporate value for financial returns.