Islamic Banking, Efficiency and Societal Welfare: A Machine-Learning, Agent-Based Study

Abstract

Design/methodology/approach: We employ 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.

Purpose : We model the benefits of Islamic banking on the efficiency of the banking sector and on societal happiness. We aim to examine how the adoption of Islamic banking to various degrees affects economics outcomes.

Findings : We show that even though Islamic banking systems tend to reduce economic activity, financial stability and societal happiness is improved. Additionally, a banking sector employing Islamic principles across all its members is better equipped to handle banking crises since contagion to both economic activity and societal welfare is greatly reduced. At the same time, adoption of the PLS paradigm by banks may also slow down economic growth.

Research limitations/implications: Our 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 our 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.

Keywords: happiness economics, Islamic finance, financial stability, agent-based finance, machine learning

JEL Classification: N2, E6, I3, G21, G01