{ "background": "Industrial policy in Ghana has increasingly emphasised the adoption of advanced process-control systems to enhance productivity. However, a rigorous, quantitative evidence base for evaluating the cost-effectiveness of these systems, particularly across different industrial sectors and scales of operation, is notably absent.", "purpose and objectives": "This policy analysis aims to methodologically evaluate the cost-effectiveness of implemented process-control systems across Ghana's industrial landscape. The objective is to identify which system characteristics and contextual factors most significantly drive cost-performance outcomes, providing an evidence-based framework for future policy and investment.", "methodology": "A multilevel regression model was employed, nesting firms within industrial sectors. Cost-effectiveness was measured as a ratio of operational cost savings to capital investment. The core statistical model is $y{ij} = \\beta{0j} + \\beta{1}X{1ij} + ... + \\epsilon{ij}$, where $\\beta{0j} = \\gamma{00} + \\gamma{01}Z{j} + u{0j}$. Analyses used robust standard errors to account for heteroskedasticity.", "findings": "The analysis indicates that modular, scalable systems yielded significantly higher cost-effectiveness than monolithic installations. A one-unit increase in system modularity was associated with a 0.15 increase in the cost-effectiveness ratio (95% CI: 0.09, 0.21). Sector-level variables, such as energy supply reliability, explained a substantial portion of the variance in outcomes.", "conclusion": "The cost-effectiveness of process-control systems is not determined by technical specifications alone but is contingent on firm-level implementation strategy and sector-level infrastructure. Policy focusing solely on technology promotion without addressing contextual enablers is likely to be suboptimal.", "recommendations": "Industrial policy should incentivise modular system design and provide targeted support for infrastructure resilience. Funding mechanisms must be conditioned on pre-installation cost-benefit analyses that account for sector-specific constraints. A national database of system performance should be established to inform future decisions