Title: Modelling technical efficiency and productivity growth of UAE banks: a three-stage analytical framework
Authors: Welcome Sibanda; Mercy Chaita
Addresses: Higher Colleges of Technology, Dubai Men's College, 15825, Dubai, UAE ' Higher Colleges of Technology, Dubai Men's College, 15825, Dubai, UAE
Abstract: This study tests for technical-efficiency and total-factor-productivity-growth for a sample of 60 UAE banks during the sample period 2000-2018, a period of extensive macro-prudential deregulation, sectoral consolidation and macro-economic shocks, using unique sub-sample periods mirroring expansion, recession and slowbalisation economic-cycles. We employ the DEA and the Malmquist Total Factor Productivity Index to capture technical-efficiency frontier-shifts for a multi-input-output bank. We detect technological-change-driven total-factor-productivity-growth and pure-technical-efficiency driven technical-efficiency. Efficiency-change lags economic cycles and sub-sample splits indicate significant scale inefficiency. Further, while foreign banks are more efficient than UAE domiciled banks, irrespective of size and index used, their performance deteriorates significantly more than UAE-domiciled banks during the 2008 Global Financial Crisis. Our results cast doubt on prior evidence that output proxy-choice is critical to result-robustness, specifically for long-term productivity trends. Further, the de-biased tobit regression analysis indicates a significant correlation between technical efficiency and size, diversification, financial structure, and profitability parameters.
Keywords: Malmquist Total Factor Productivity Index; technical efficiency; technological efficiency; pure efficiency; scale efficiency; data envelopment analysis; DEA; total factor productivity change; UAE.
DOI: 10.1504/IJBPM.2023.132344
International Journal of Business Performance Management, 2023 Vol.24 No.3/4, pp.556 - 598
Received: 08 Nov 2021
Accepted: 02 Feb 2023
Published online: 18 Jul 2023 *