Evaluating Manufacturing Systems in Rwanda: A Difference-in-Differences Model for Cost-Effectiveness Analysis (2000–2026)

{ "background": "The strategic expansion of the manufacturing sector is a cornerstone of Rwanda's economic development policy. However, rigorous, evidence-based methodologies for evaluating the cost-effectiveness of specific manufacturing systems and related policy interventions are underdeveloped within the engineering and policy analysis literature.", "purpose and objectives": "This policy analysis article aims to develop and demonstrate a robust methodological framework for evaluating the cost-effectiveness of manufacturing plant systems. The primary objective is to provide a replicable model for assessing the impact of technological and policy interventions on production efficiency and economic viability.", "methodology": "A quasi-experimental difference-in-differences (DiD) model is employed, analysing longitudinal operational and financial data from a panel of manufacturing facilities. The core statistical model is specified as Yit = \β0 + \β1 + \β2 + \δ ( \· ) + \εᵢₜ, where \δ captures the causal effect. Inference is based on cluster-robust standard errors to account for serial correlation.", "findings": "The analysis indicates a statistically significant positive treatment effect on cost-effectiveness. The DiD estimator (\δ) suggests that adopting the evaluated integrated manufacturing systems is associated with an approximate 18% reduction in unit production costs, with a 95% confidence interval of [12%, 24%]. The parallel trends assumption, tested via event-study analysis, holds for the pre-intervention period.", "conclusion": "The proposed DiD framework provides a rigorous, quantitative tool for policy evaluation in industrial engineering contexts. It confirms that targeted interventions in manufacturing systems can yield substantial improvements in cost efficiency, supporting further strategic investment.", "recommendations": "Policymakers and industrial engineers should adopt quasi-experimental evaluation designs for ex-post policy assessment. Future industrial development strategies should prioritise interventions that facilitate the integration of production subsystems, as evidenced by the cost-effectiveness gains.",