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Quasi-experimental analysis reveals significant risk reduction in manufacturing systems, suggesting effective interventions for policy implementation.
Manufacturing plants in Senegal face significant operational risks that threaten productivity and sustainability. A quasi-experimental approach was employed to compare pre- and post-intervention data from selected Senegalese plants. Statistical analysis included logistic regression with robust standard errors. The intervention significantly reduced the likelihood of operational disruptions by 25% (OR = 0.75, CI: 0.68-0.83) compared to control groups. Quasi-experimental design effectively quantifies risk reduction in Senegalese manufacturing systems, offering a robust methodology for future studies and policy implementation. Further research should explore scalability of the intervention across different sectors and regions within Senegal.
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Diouf et al. (2011) studied this question.
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