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Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis

Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis

Karim Iddouch, Khalid El Badraoui, Jamal Ouenniche
Copyright: © 2024 |Pages: 42
ISBN13: 9798369302552|ISBN13 Softcover: 9798369302569|EISBN13: 9798369302576
DOI: 10.4018/979-8-3693-0255-2.ch003
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MLA

Iddouch, Karim, et al. "Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis." Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency, edited by Adeyemi Abel Ajibesin and Narasimha Rao Vajjhala, IGI Global, 2024, pp. 40-81. https://doi.org/10.4018/979-8-3693-0255-2.ch003

APA

Iddouch, K., El Badraoui, K., & Ouenniche, J. (2024). Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis. In A. Ajibesin & N. Vajjhala (Eds.), Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency (pp. 40-81). IGI Global. https://doi.org/10.4018/979-8-3693-0255-2.ch003

Chicago

Iddouch, Karim, Khalid El Badraoui, and Jamal Ouenniche. "Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis." In Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency, edited by Adeyemi Abel Ajibesin and Narasimha Rao Vajjhala, 40-81. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-0255-2.ch003

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Abstract

This chapter surveys the literature on the productivity profiles of Islamic Banks (IBs), with a specific emphasis on Malmquist Productivity Indices (MPIs) estimated using Data Envelopment Analysis (DEA) methodologies. It examines 68 publications from 2006 to 2022, offering a comprehensive categorization of the literature based on four key aspects: (1) the type of DEA analysis, (2) productivity measurement methodologies, (3) variables for DEA model specification and corresponding evaluation approaches, and (4) the drivers of productivity along with their theoretical foundations. This paper also provides a critical analysis of the existing literature, identifying gaps, inconsistencies, and potential sources of discrepancies in the findings, thereby paving the way for future research to address these limitations.

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