Methodological Evaluation of Process-Control Systems Adoption in Uganda Using Panel Data Analysis

This study examines the adoption of process-control systems in Uganda's engineering sector, focusing on identifying factors that influence their implementation. Panel data analysis was applied, employing a fixed effects model with robust standard errors to account for potential unobserved heterogeneity across countries. The study utilised secondary data from Uganda’s engineering industry over a five-year period (-). The panel data revealed that economic growth had a significant positive effect on the adoption of process-control systems, with an estimated coefficient of 0.56 (95% CI: 0.42 - 0.70), indicating substantial influence. This study provides insights into how economic conditions can facilitate or hinder the adoption of advanced engineering control systems in developing countries like Uganda. Policy makers should consider promoting economic growth and improving regulatory environments to enhance the uptake of process-control systems within Ugandan industries. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.