Analyzing the Technical and Super Efficiency of Rural Banks Amidst Economic crisis in Ghana

The goal of this study is to use the DEA model to assess the efficiency and super-efficiency of 24 rural and community banks in Ghana. CCR and BCC models were employed to assess efficiency. Super efficiency was also analyzed in order to rank DMUs. The analytical data was gathered from the bank's released 2022 financial statements, and the study was performed using Frontier Analyst 4.0. As a consequence, technical efficiency, pure technical efficiency, and scale efficiency scored 0.9468, 0.9779, and 0.9679, respectively, and the ranking was discernible for units with an efficiency score of one. It was also discovered that further improvements are required for DMU11, which had relatively low efficiency due to excessive input to improve DMU11. This study is significant since it ranks the units with efficiency score 1 based on the computation of DMU efficiency.