The adoption of process-control systems in Tanzanian industries is crucial for improving product quality and reducing waste. Panel data estimation techniques were employed to analyse longitudinal data from Tanzanian industries between and. Two-way fixed effects models were utilised to account for sectoral and year-fixed effects. The estimated panel regression model revealed a significant positive relationship between investment in process-control systems and industry productivity, with an average adoption rate of 35% across all sectors. Process-control system investments have contributed positively to industrial productivity in Tanzania, highlighting the importance of sector-specific policies for effective implementation. Industry policymakers should prioritise funding for process-control systems as part of their development strategies and consider sectoral differences when designing interventions. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Makamba et al. (Sun,) studied this question.
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