Islamic banking, efficiency and societal welfare: a machine-learning, agent-based study

Document Type

Article

Source of Publication

International Journal of Islamic and Middle Eastern Finance and Management

Publication Date

1-1-2022

Abstract

Purpose: This paper models the benefits of Islamic banking on the efficiency of the banking sector and on societal happiness. This paper aims to examine how the adoption of Islamic banking to various degrees affects economics outcomes. Design/methodology/approach: This study uses machine-learning tools to build a happiness function and integrate it in an agent-based model to test for the direct and indirect welfare effects of implementing Islamic banking principles. Findings: This study shows that even though Islamic banking systems tend to reduce economic activity, financial stability and societal happiness is improved. Additionally, a banking sector using Islamic principles across all its members is better equipped to handle banking crises because contagion to both economic activity and societal welfare is greatly reduced. At the same time, adoption of the profit-and-loss sharing (PLS) paradigm by banks may also slow down economic growth. Research limitations/implications: The findings extend existing literature on the advantages of Islamic banking, by quantifying the welfare benefits of the PLS paradigm on happiness and financial stability. Originality/value: To the best of the authors’ knowledge, this paper is the first to combine agent-based modelling with machine learning tools to examine the benefits of the Islamic banking model on financial stability, social welfare and unemployment.

ISSN

1753-8394

Publisher

Emerald

Disciplines

Business

Keywords

Agent-based finance, Financial stability, Happiness economics, Islamic finance, Machine learning

Scopus ID

85144218449

Indexed in Scopus

yes

Open Access

no

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