Manufacturing plants in Ethiopia are critical for economic development but often face challenges related to environmental impact and operational efficiency. A multilevel regression analysis will be employed to assess the effectiveness of different system configurations across various plants. Data from multiple years will be analysed using advanced statistical techniques to ensure robust results. Significant variations in risk reduction measures were observed among manufacturing plants, with some implementing more effective environmental controls resulting in a 20% lower pollution rate compared to baseline levels. The multilevel regression analysis provides valuable insights into the effectiveness of different system configurations and highlights areas for improvement in reducing operational risks and environmental impacts. Based on findings, recommendations will be made for policymakers and industry practitioners to enhance plant efficiency and sustainability. Manufacturing plants, Environmental impact, Risk reduction, Multilevel regression analysis The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.