Data Envelopment Analysis of Input-Output Efficiency

This study examines input-output efficiency (EF) as the dependent variable. We employ Data Envelopment Analysis (DEA), a non-parametric method pioneered by Charnes et al. (1978), to compare relative efficiency among decision units. DEA's strength lies in its flexibility; it doesn't necessitate a specific functional form or evaluation criteria. Instead, it leverages input-output data to assess the efficiency of each unit.