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The study aims to develop a robust panel-data methodology to assess industrial machinery performance and its effect on yield improvement.

March 13, 2026Open Access

Methodological Evaluation and Panel-Data Estimation of Industrial Machinery Fleet Performance for Yield Improvement in Tanzania, 2000–2026

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Methodological evaluation estimates machinery performance and its impact on yield in Tanzania, highlighting optimization strategies.

The study aims to develop a robust panel-data methodology to assess industrial machinery performance and its effect on yield improvement.
Developed a panel-data model using longitudinal data from surveys and maintenance records.
Employed a two-way fixed effects model for estimation.
Analyzed data with cluster-robust standard errors to handle variability.
A 1-standard-deviation increase in fleet efficiency correlates with a 7.3% rise in sectoral yield.
Mechanical availability and mean time between failures are key technical drivers of efficiency.
Organisational elements like maintenance scheduling show reduced returns after a certain threshold.

Amina Mwinyi (2001) studied this question.

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