Journal of the Korean Institute of Gas (한국가스학회지)

The Korean Institute of GAS (한국가스학회)
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A Study on the Development of ESG Safety Evaluation Index

ESG 안전 평가지표 개발에 관한 연구

  • Cheolhee Yoon (Dept. of Environmental Engineering, Ajou University) ;
  • Keun-won Lee (Dept. of Environmental and Safety Engineering, Ajou University) ;
  • Seungho Jung (Dept. of Environmental and Safety Engineering, Ajou University)
  • 윤철희 (아주대학교 환경공학과) ;
  • 이근원 (아주대학교 환경안전공학과) ;
  • 정승호 (아주대학교 환경안전공학과)
  • Received : 2022.12.07
  • Accepted : 2023.04.04
  • Published : 2023.06.30
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Abstract

ESG (environmental, social, governance) management is being introduced with the goal of sustainable development of the company in risk management, which identifies and judgement various risks that may occur in the industry. In the future, ESG evaluation will be used more as a value judgment tools for corporate sustainability. This ESG evaluation was used to manage the company's accident prevention level. Through morphological analysis of the current ESG evaluation system, it was found that the quantitative 'safety evaluation index' available in ESG was insufficient through analysis of safety evaluation items. In this study, domestic and foreign industrial accident data was analyzed, 'accident contributing factors' that required intensive management were derived, and major safety management items that needed supplementation were selected based on the results. ESG safety evaluation indicators were developed through the process of optimizing the selected items into evaluation factors suitable for 'accident prevention management'.

산업에서 발생할 수 있는 각종 위험을 발굴하고 제어하는 리스크관리에서 기업의 지속 가능한 발전을 목표로 ESG(환경·사회·지배구조)경영을 도입하고 있다. 앞으로는 기업 지속가능성에 대한 가치 판단 도구로써 ESG 평가가 더욱 활용될 것이다. 이러한 ESG 평가를 활용하여 기업의 사고 예방 정도를 관리하고 있다. 현행 ESG 평가체계에 대한 형태소 분석을 통하여 안전에 대한 평가항목을 분석하여, ESG에서 활용 가능한 정량적 '안전평가지표'가 미흡함을 알았다. 본 연구에서는 국내외 산업 사고 데이터를 분석하고 집중 관리가 필요한 '사고 기여 인자'를 도출했으며, 해당 결과를 기반으로 보완이 필요한 주요 안전관리 항목을 선정했다. 선정한 항목들은 '사고 예방 관리'에 적합한 평가 요소로 최적화시키는 과정을 거쳐, ESG 안전 평가지표를 개발하였다.

Keywords

Acknowledgement

이 논문은 2023년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임(P0012787, 2023년 산업혁신인재성장지원사업)

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