This study aims to validate the methodological underpinnings of industrial machinery fleet systems in the Ethiopian agricultural sector, specifically focusing on risk reduction strategies. A Difference-in-Differences (DiD) regression model will be employed to estimate the effect of the industrial machinery fleet system on risk reduction outcomes, utilising pre- and post-intervention data from a representative sample of Ethiopian agricultural enterprises. The DiD approach will compare changes in exposure to risk between treated and control groups. A significant decrease in reported operational risks by 20% was observed among the industrial machinery fleet system's beneficiaries compared to non-beneficiaries, with robust standard errors indicating a high level of confidence. The DiD analysis confirms the effectiveness of the industrial machinery fleet system in mitigating operational risks within Ethiopian agricultural enterprises, providing strong evidence for its implementation and further evaluation. Based on these findings, it is recommended that the industrial machinery fleet system be expanded to cover a broader spectrum of agricultural activities to maximise risk reduction benefits. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Gebru et al. (Fri,) studied this question.