Mixed-methods analysis shows significant yield improvement in Tanzanian manufacturing plants, indicating robust methodologies.
This study builds upon existing research on manufacturing yield improvement in Tanzanian plants by focusing on methodological advancements. A mixed-methods study employing econometric techniques including fixed effects models to analyse data from 20 Tanzanian plants spanning five years. Panel-data methods were used to account for potential temporal and spatial dependencies among observations. The panel-data analysis revealed a statistically significant improvement in yield across the sampled sites, with an estimated average increase of 15% compared to baseline levels (95% confidence interval: 7-23%). This study confirms and extends previous findings on manufacturing yield improvements but introduces enhanced methodological rigor through panel-data econometrics. Future research should consider expanding the sample size, including more diverse industries, to generalize findings further. The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Mwakimba et al. (2010) studied this question.
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