본 연구는 한국과 독일 제조업의 전력소비량과 사고사망만인율 간의 상관관계를 실증적으 로 분석하여 산업안전 패러다임 전환의 필요성을 탐구하였다. 2008~2022년까지의 국가 통계자료를 활용하여 상관분석과 자기회귀 오차모형을 적용한 회귀분석을 수행한 결과, 독일은 전력소비 증가 시 사고사망만인율이 감소한 반면, 한국은 일부 업종에서 증가하는 상반된 경향을 보였다. 회귀분석 결과, 독일 금속 업종은 전력소비 1% 증가 시 사고사망만 인율이 4.5% 감소(β=-4.542, p<0.001)한 반면 한국은 0.4% 증가(β=0.417, p<0.01)하여 정반대 방향을 나타냈다. 이는 독일이 기술투자와 예방 중심의 안전관리체계를 통해 생산 성과 안전의 선순환 구조를 확립한 반면, 한국은 생산 중심 구조와 안전투자 불균형으로 인해 재해 위험이 잔존함을 시사한다. 특히 펄프 업종은 한국(β=0.969, p<0.001)과 독일 (β=11.426, p<0.001) 모두에서 전력소비 증가가 재해율 증가로 이어지는 유일한 업종으로, 업종 고유의 구조적 취약성이 국가와 무관하게 작용함을 확인하였다. 한국 내에서도 화학· 정유 등 대기업 중심 업종은 음의 관계를, 금속·펄프 등 중소기업 중심 업종은 양의 관계를 보여 업종 간 안전 수준의 격차가 크게 나타났다. 연구결과를 바탕으로, 안전을 비용이 아닌 생산성 향상의 핵심요소로 인식하는 지속가능한 안전성장 전략을 제시하였다. 또한 전력소비량을 산업재해 위험의 선행경보 지표로 활용하고, 산업·계층별 맞춤형 예방정책을 강화할 필요성을 강조하였다. 본 연구는 에너지·산업안전·ESG 경영을 통합한 분석틀을 제시함으로써 산업안전 연구의 확장된 방향성을 제시하였다. 본 연구가 향후 정량적 근거 기반의 안전정책 수립과 국제비교 연구의 기초자료로 활용될 수 있기를 기대한다.

Construction industry is considered as one of the most high-risk industries for work-related injuries and fatalities, accounting for more than half of fatalities in Korea. Advanced countries have recognized the critical role of designers in preventing construction accidents and have established regulations on design for safety. In line with this, the Korean government have also implemented regulations that require owners and designers to review the safety of design outcomes. However, it has been observed that designers face challenges in identifying hazards and integrating design solutions at the design stage mainly due to their shortage of required knowledge and skills. This study aimed to examine design solutions that can be applied to prevent fall accidents in the construction industry, and to establish a relationship between these solutions and fatal fall accidents occurred over the past three years in Korea. This study also analyzed the relationships of four variables (construction type, cost, work type, and fall location) with design solutions. The results indicated that all four variables have significant relationships with design solutions, with fall location showing the strongest relationship. The design solutions and their relationships with fatal fall accidents identified in this study can be utilized in identifying hazard and integrating design solutions to ensure design for safety.

Many industrial accidents have occurred continuously in the manufacturing industries, construction industries, and service industries of Korea. Fatal accidents have occurred most frequently in the construction industries of Korea. Especially, the trend analysis of the accident rate and fatal accident rate is very important in order to prevent industrial accidents in the construction industries systematically. This paper considers forecasting of the accident rate and fatal accident rate with static and dynamic time series analysis methods in the construction industries. Therefore, this paper describes the optimal accident rate and fatal accident rate by minimization of the sum of square errors (SSE) among regression analysis method (RAM), exponential smoothing method (ESM), double exponential smoothing method (DESM), auto-regressive integrated moving average (ARIMA) model, proposed analytic function model (PAFM), and kalman filtering model (KFM) with existing accident data in construction industries. In this paper, microsoft foundation class (MFC) soft of Visual Studio 2008 was used to predict the accident rate and fatal accident rate. Zero Accident Program developed in this paper is defined as the predicted accident rate and fatal accident rate, the zero accident target time, and the zero accident time based on the achievement probability calculated rationally and practically. The minimum value for minimizing SSE in the construction industries was found in 0.1666 and 1.4579 in the accident rate and fatal accident rate, respectively. Accordingly, RAM and ARIMA model are ideally applied in the accident rate and fatal accident rate, respectively. Finally, the trend analysis of this paper provides decisive information in order to prevent industrial accidents in construction industries very systematically.