Performance Efficiency of Ethiopian Commercial Banks: Data Envelopment Analysis Approach

Authors

  • Daniel Tolesa Agama PhD Candidate at Addis Ababa University, College of Business and Economics, P.O. Box 1176, Addis Ababa, Ethiopia and Assistant Professor at Kotebe University of Education, P.O. Box 31248, Addis Ababa, Ethiopia
  • Shihong Li Associate Professor of Accounting, Anderson School of Management
  • Degefe Duressa Obo Assistant Professor at Addis Ababa University, College of Business and Economics, Department of Accounting and Finance, P.O. Box 1176, Addis Ababa, Ethiopia

Keywords:

DEA, efficiency, commercial banks, Ethiopia, CCR, BCC

Abstract

The Ethiopian banking sector plays a pivotal role in resource allocation of the country with the absence of a securities market. The study aimed to evaluate financial performance of Ethiopian commercial banks during 2014 to 2020. Data from all of the
17 commercial banks in Ethiopia have been considered in the study which resulted in 119 observations. The classical Data Envelopment Analysis (DEA) models were employed to estimate the efficiency scores. Two input variables (non-interest expense
and deposits), and three output variables (net interest income, non-interest income and loans and advances) were identified under intermediation approach. The efficiency scores of Ethiopian commercial banks vary among each banks and years. The highest ranked commercial banks based on the average relative efficiency score are the most stable and consistent banks in the industry. The public owned commercial bank is more efficient than private owned commercial banks in Ethiopia. Whereas, the smallest private owned commercial banks are more efficient than the largest one. Thus, bank managers should review and rescale their scope of operations to levels that guarantees both pure technical efficiency and scale efficiency. Future studies should evaluate the efficiency of Ethiopian commercial banks overtime using parametric analysis and identify factors affecting their financial performance.

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Published

2023-11-16