Methodological Assessment of Process-Control Systems in Ghana: Quasi-Experimental Evaluation of Yield Improvement

Ghana's agricultural sector is characterized by low yield due to inconsistent application of process-control systems. A mixed-method approach was employed, integrating surveys with yield data analysis. A regression discontinuity design (RDD) was used to estimate the impact of process-control system adoption on yield improvements. Initial results suggest a 10% increase in cotton yields and a 7% improvement in rice yields among farmers implementing process-control systems compared to those not using them, with robust standard errors indicating statistical significance at p < 0.05. Process-control systems significantly contribute to yield improvements in Ghana’s agricultural sector, particularly for cotton and rice crops. Farmers should be encouraged to adopt process-control systems through targeted training programmes and incentives. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.