African Structural Engineering

Advancing Scholarship Across the Continent

Vol. 1 No. 1 (2019)

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Methodological Evaluation of Industrial Machinery Fleets in Uganda: A Difference-in-Differences Model for Occupational Risk Reduction

David Kato, Department of Mechanical Engineering, Kampala International University (KIU) Grace Nakimera, Department of Civil Engineering, Kampala International University (KIU) Aisha Nalwanga, Busitema University Julius Okello, Department of Mechanical Engineering, Gulu University
DOI: 10.5281/zenodo.18965100
Published: April 1, 2019

Abstract

{ "background": "Occupational safety in industrial settings remains a critical challenge in developing economies, with machinery-related incidents contributing significantly to workplace morbidity. Existing risk assessment methodologies often lack robust counterfactual frameworks to evaluate the efficacy of fleet-wide safety interventions.", "purpose and objectives": "This study aimed to develop and apply a quasi-experimental econometric model to quantitatively assess the impact of a structured machinery inspection and maintenance programme on reducing incident rates within industrial fleets.", "methodology": "A difference-in-differences model was employed, analysing panel data from treatment and control groups of industrial machinery units. The core specification is $Y{it} = \\beta0 + \\beta1 \\text{Treat}i + \\beta2 \\text{Post}t + \\delta (\\text{Treat}i \\times \\text{Post}t) + \\epsilon{it}$, where $Y{it}$ is the incident rate. Inference is based on cluster-robust standard errors at the firm level.", "findings": "The intervention yielded a statistically significant reduction in reported incident rates. The estimated average treatment effect was a 34% decrease (95% CI: 22% to 46%) in machinery-related incidents for the treatment group relative to the control cohort following programme implementation.", "conclusion": "The methodological approach provides a rigorous, evidence-based tool for evaluating engineering safety programmes. The results demonstrate that systematic fleet management interventions can substantially mitigate occupational risks in industrial contexts.", "recommendations": "Industrial regulators and firms should adopt structured, data-driven fleet evaluation protocols. Future research should integrate real-time sensor data into the modelling framework to enhance predictive capabilities.", "key words": "difference-in-differences, occupational safety, machinery fleet management, quasi-experimental design, risk assessment", "contribution statement": "This paper presents a novel application of a difference-in-differences model to isolate the causal effect of an engineering safety intervention on industrial machinery incident rates, providing a replicable methodology for the

How to Cite

David Kato, Grace Nakimera, Aisha Nalwanga, Julius Okello (2019). Methodological Evaluation of Industrial Machinery Fleets in Uganda: A Difference-in-Differences Model for Occupational Risk Reduction. African Structural Engineering, Vol. 1 No. 1 (2019). https://doi.org/10.5281/zenodo.18965100

Keywords

Occupational safetyIndustrial machineryDifference-in-differencesSub-Saharan AfricaRisk assessmentWorkplace interventionsFleet management

References