Akademik Məlumat İdarəetmə Sistemi
International Journal of Safety and Security Engineering, vol.14, no.5, pp.1403-1408, 2024 (Scopus)
This paper examines the relationship between primary aluminum production and workplace safety, with a focus on accident rates per megawatt-hour (MWh) in the aluminum industry. As global aluminum production expands, it not only introduces economic and environmental challenges but also raises significant safety concerns inherent to heavy industry operations. Given the complexity of aluminum manufacturing and its associated risks, this study conducts a comprehensive safety analysis. Utilizing various cointegration techniques, including the Autoregressive Distributed Lag (ARDL) model, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), Cointegrated Regression (CCR), and the Engle-Granger and Phillips- Ouliaris tests, the research investigates the long-term relationship between production levels and accident rates. The findings reveal a significant cointegration between the variables, with the ARDL model estimating that a 1% increase in global aluminum production is associated with a 0.843% decrease in total accident rates. These results highlight the potential to enhance workplace safety through process optimization, providing valuable insights for industry stakeholders and policymakers focused on reducing risks in aluminum production.