Conventional versus Islamic bank efficiency: A dynamic network data-envelopment-analysis approach

Author:

Azad Md Abul Kalam1,Talib Muzalwana Binti Abdul2,Kwek Kian-Teng3,Saona Paolo4

Affiliation:

1. Department of Business and Technology Management, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh

2. Department of Applied Statistics, Faculty of Economics and Administration, University of Malaya, Kuala Lumpur, Malaysia

3. Department of Economics, Faculty of Economics and Administration, University of Malaya, Kuala Lumpur, Malaysia

4. Richard A. Chaifetz School of Business, Saint Louis University, Madrid Campus, Av. Del Valle, 34, 28232, Madrid, Spain; Faculty of Economics and Business Administration, Universidad Pontificia Comillas, C/Alberto Aguilera, 23, 28015, Madrid, Spain & Faculty of Economics and Administrative Sciences, Universidad Católica de la Santísima Concepción, Alonso de Ribera 2850, Concepción, Chile

Abstract

This study compares the efficiency of conventional and Islamic banks in Malaysia by engaging in a dynamic three-step (production, intermediation, and profitability) network data envelopment analysis (DEA). The inputs and outputs for the DEA model are selected based on the CAMELS rating. The major contributions of this study are threefold. First, this study investigates the efficiency of Malaysian banks using a novel dynamic network DEA model. Second, the Malaysian banking industry is found to be efficient in creating earning assets rather than in creating loans or profit. The results reveal that only a few banks in Malaysia have been efficient in converting deposits and equities into profit. Third, Islamic banks, in general, have been performing efficiently in the production and profitability approaches. Conventional banks, in contrast, are found to have been efficient in the intermediation approach. Policy implications are derived from the main conclusions.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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