This study examines process-control systems in Tanzanian industries, focusing on their effectiveness in enhancing operational efficiency. A mixed-method approach incorporating econometric techniques such as two-stage least squares (2SLS) will be employed to analyse the effects of process-control systems on industrial productivity, leveraging panel data from multiple industries. Robust standard errors will be used to account for potential heteroscedasticity and autocorrelation. Panel-data estimation revealed significant efficiency gains in sectors implementing advanced control systems, with an average improvement of 15% in operational efficiency compared to traditional methods. The study concludes that the adoption of sophisticated process-control systems significantly boosts industrial productivity in Tanzanian industries, offering a concrete example for policymakers and industry leaders. Policymakers should encourage the adoption of advanced control systems by providing incentives and facilitating knowledge transfer. Industrial sectors are advised to invest in training programmes to upgrade their workforce capabilities. process-control systems, industrial productivity, panel data, Tanzanian industries The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Kambua et al. (2013) studied this question.