What does this research mean for the field?

Improved preventive maintenance adherence is associated with a 7.5% increase in mean yield for industrial machinery fleets in Uganda. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to evaluate approaches for analyzing fleet systems and develop a panel-data model to quantify yield improvement.

March 14, 2026Open Access

Methodological Evaluation and Panel-Data Estimation for Yield Improvement in Ugandan Industrial Machinery Fleets

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The aim is to evaluate approaches for analyzing fleet systems and develop a panel-data model to quantify yield improvement.
Constructed an unbalanced panel dataset from operational logs of machinery at multiple sites.
Applied a two-way fixed effects econometric model for yield estimation.
Used cluster-robust standard errors to account for serial correlation within fleets.
Identified maintenance scheduling consistency as a better predictor of yield than fleet age.
One-standard-deviation improvement in preventive maintenance adherence linked to a 7.5% increase in mean yield.

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Implication

Working paper evaluates yield improvement methods in Ugandan industrial machinery fleets, suggesting actionable insights.

Cite This Study

Otieno et al. (2026) studied this question.

synapsesocial.com/papers/69b4fc7fb39f7826a300d65d https://doi.org/10.5281/zenodo.18971763

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Methodological Evaluation and Panel-Data Estimation for Yield Improvement in Ugandan Industrial Machinery Fleets

Key Points

Discussion

Implication

Cite This Study

Methodological Evaluation and Panel-Data Estimation for Yield Improvement in Ugandan Industrial Machinery Fleets

Key Points

Discussion

Implication

Cite This Study

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